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Kang JG, Park JH, Park MS, Han K, Lee HS, Yang HK. Differentiation of intrapancreatic accessory spleen from pancreatic neuroendocrine tumor using MRI R2. Abdom Radiol (NY) 2025:10.1007/s00261-024-04758-y. [PMID: 39841231 DOI: 10.1007/s00261-024-04758-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 12/09/2024] [Accepted: 12/10/2024] [Indexed: 01/23/2025]
Abstract
PURPOSE To evaluate the performance of R2* in distinguishing intrapancreatic accessory spleens (IPASs) from pancreatic neuroendocrine tumors (PNETs). METHODS Two radiologists (R1 and R2) retrospectively reviewed the MRIs of 20 IPAS and 20 PNET patients. IPASs were diagnosed with uptake on 99mTc labeled heat-damaged red blood cell scintigraphy or characteristic findings on CT/MRI and ≥ 12 month-long-stability. PNETs were histopathologically diagnosed with resection. Using McNemar test, sensitivities and specificities of the diagnostic criterion based on R2* mass-to-spleen ratio (MSR) were compared with those of the other criteria using contrast-enhanced (CE) MRI and apparent diffusion coefficient (ADC) MSR. RESULTS The study included 40 patients (median age, 54; interquartile range, 43-65; 24 men, 16 women). IPASs exhibited spleen-isointensity on T2WI, late arterial and portal phases, and diffusion-weighted images more frequently than PNETs (p <.05). ADC MSRs were lower (p <.001) and R2* MSRs were higher (p <.001) in IPASs compared to PNETs. For R1, sensitivity and specificity were 45.0% and 100.0% for criterion 1 (spleen-isointensity on CE-MRI); 45.0% and 85.0% for criterion 2 (ADC MSR ≤ 1.08); 90.0% and 95.0% for criterion 3 (0.9 ≤ R2* MSR ≤ 1.7). For R2, 75.0% and 100.0%; 45.0% and 90.0%; 90.0% and 100.0%. Criterion 3 showed higher sensitivity than criterion 1 for R1 (p =.004), and criterion 2 for R1 and R2 (p =.012). There was no difference in specificity. CONCLUSION For differentiating IPAS from PNET, R2* showed higher sensitivity than, and similar specificity to CE-MRI and ADC.
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Affiliation(s)
- Jun Gu Kang
- Severance Hospital, Seoul, Republic of Korea
| | | | - Mi-Suk Park
- Severance Hospital, Seoul, Republic of Korea
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Xu Q, Zhao H, Gao R, Wang X, Xu J, Sun G, Xue K, Yang Y, Li E, Zhu L, Wu W, Feng F. Insulinoma detection and surgery planning: a comparative study of 5.0T MRI versus 3.0T MRI and MDCT. Abdom Radiol (NY) 2024:10.1007/s00261-024-04680-3. [PMID: 39514101 DOI: 10.1007/s00261-024-04680-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 10/30/2024] [Accepted: 11/02/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE To compare the ability among 5.0T MRI, 3.0T MRI and MDCT in identifying insulinomas and determining the tumor-to-duct relationship. METHODS A consecutive series of patients highly suspected of insulinomas were enrolled between October 2021 and February 2024, who underwent 5.0T MRI preoperatively, as well as 3.0T MRI or MDCT. The subjective and objective image quality, lesion-to-pancreas contrast, clarity of main pancreatic duct (MPD) and tumor-to-duct relationship at 5.0T, 3.0T MRI and MDCT were evaluated by three observers. The correlation between tumor-duct distance and clinically relevant postoperative pancreatic fistula (CR-POPF) risk was analyzed. RESULTS Forty patients (14 men; mean age, 46.4 ± 16.5 years) with insulinomas were included in this study. 21 of them underwent both 5.0T and 3.0T MRI; and 38 of them underwent 5.0T MRI and MDCT. The intra- and inter-observer agreement of 5.0T MRI were good to excellent. 5.0T showed significantly higher subjective and objective image quality on T1WI and DWI compared to 3.0T (p < 0.05). Lesion-to-pancreas contrast was superior across all sequences at 5.0T compared to 3.0T(p < 0.05). A head-to-head comparison of patients who received both 5.0T and 3.0T MRI demonstrated that tumor detection was superior with 5.0T MRI (5.0T: 100%; 3.0 T: 92.0%, p < 0.05). Feasibility of tumor-to-duct relationship assessment was superior at 5.0T, compared to 3.0T and MDCT (93.2%, 64.0% and 52.3%, respectively, p < 0.05). Tumor-duct distance could predict CR-POPF after enucleation surgery (areas under the ROC curve 0.79, p = 0.01). CONCLUSION 5.0T MRI exhibits certain superiority in detecting insulinomas and assessing tumor-to-duct relationship compared to 3.0T MRI and MDCT.
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Affiliation(s)
- Qiang Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
| | - Huijia Zhao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
| | - Ruichen Gao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
| | - Xuan Wang
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Jia Xu
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Gan Sun
- Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Ke Xue
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Yuxin Yang
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Enhui Li
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Liang Zhu
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Wenming Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China.
| | - Feng Feng
- State Key Laboratory of Complex Severe and Rare Diseases, Beijing, China
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Imai R, Sakai M, Kato T, Ozeki S, Kubota S, Liu Y, Takahashi Y, Takao K, Mizuno M, Hirota T, Horikawa Y, Murakami T, Kanayama T, Kuroda T, Miyazaki T, Yabe D. Hypovascular insulinoma with reduced microvessel density on histopathology: a case report. Diabetol Int 2024; 15:855-860. [PMID: 39469562 PMCID: PMC11512940 DOI: 10.1007/s13340-024-00756-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 08/18/2024] [Indexed: 10/30/2024]
Abstract
Pancreatic neuroendocrine tumors (PanNETs) are generally hypervascular and readily detectable on imaging tests. However, hypovascular PanNETs are clinically problematic, requiring multiple imaging tests and tissue analyses to differentiate them from pancreatic ductal cancers. A 41 year-old man presented with Whipple's triad; 72 h fasting test followed by glucagon challenge test suggested insulinoma. However, contrast-enhanced computed tomography image showed a 17 mm tumor with poor enhancement and unclear borders in the tail of the pancreas. Abdominal magnetic resonance imaging and contrast-enhanced endoscopic ultrasonography (EUS) indicated cystic degeneration and necrosis at the same site; EUS-guided fine-needle aspiration cytology indicated a PanNET Grade 1 tumor. Although the imaging was inconclusive, diazoxide treatment ameliorated the hypoglycemia-related symptoms and insulinoma was deemed likely; following tail pancreatectomy and splenectomy, the symptoms disappeared. Pathological examination revealed a tumor positive for insulin and classed as PanNET Grade 1 according to the 2019 WHO classification. The microvessel density (MVD) of the tumor was found to be as low as 3.9%, which may partly account for the inconclusive images. The present case was difficult to diagnose preoperatively due to hypovascularity on imaging because of reduced MVD. It is clinically important to evaluate MVD in cases of hypovascular PanNETs by multiple preoperative imaging studies to differentiate them from pancreatic cancers and to validate the findings by postoperative pathological analysis.
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Affiliation(s)
- Risako Imai
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Mayu Sakai
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
- Department of Occupational Health, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Takehiro Kato
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Sayako Ozeki
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Sodai Kubota
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kyoto, Japan
| | - Yanyan Liu
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Yoshihiro Takahashi
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Ken Takao
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Masami Mizuno
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Takuo Hirota
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Yukio Horikawa
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
| | - Takaaki Murakami
- Department of Diabetes, Endocrinology and Nutrition, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomohiro Kanayama
- Department of Tumor Pathology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Takahiro Kuroda
- Department of Tumor Pathology, Gifu University Graduate School of Medicine, Gifu, Japan
- Department of Pathology, Gifu University Hospital, Gifu, Japan
| | | | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
- Yutaka Seino Distinguished Center for Diabetes Research, Kansai Electric Power Medical Research Institute, Kyoto, Japan
- Center for One Medicine Innovative Translational Research, Gifu University, Gifu, Japan
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Chen Y, Ma C, Yang P, Mao K, Gao Y, Chen L, Wang Z, Bian Y, Shao C, Lu J. Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. BMC Cancer 2024; 24:1160. [PMID: 39294623 PMCID: PMC11412028 DOI: 10.1186/s12885-024-12934-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 09/11/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND To investigate the values of apparent diffusion coefficient (ADC) for the treatment response evaluation in pancreatic cancer (PC) patients receiving neoadjuvant therapy (NAT). METHODS This study included 103 NAT patients with histologically proven PC. ADC maps were generated using monoexponential diffusion-weighted imaging (b values: 50, 800 s/mm2). Tumors' minimum, maximum, and mean ADCs were measured and compared pre- and post-NAT. Variations in ADC values measured between pre- and post-NAT completion for NAT methods (chemotherapy, chemoradiotherapy), tumor locations (head/neck, body/tail), tumor regression grade (TRG) levels (0-2, 3), N stages (N0, N1/N2) and tumor resection margin status (R0, R1), were further analyzed. RESULTS The minimum, maximum, and mean ADC values all increased dramatically after NAT, rising from 23.4 to 25.4% (all p < 0.001): mean (average: 1.626 × 10- 3 mm2/s vs. 1.315 × 10- 3 mm2/s), minimum (median: 1.274 × 10- 3 mm2/s vs. 1.034 × 10- 3 mm2/s), and maximum (average: 1.981 × 10- 3 mm2/s vs. 1.580 × 10- 3 mm2/s). The ADCs between the subgroups of all the criteria under investigation did not differ significantly for the minimum, maximum, or mean values pre- or post-NAT (P = 0.08 to 1.00). In the patients with borderline resectable PC (n = 47), the rate of tumor size changes after NAT was correlated with the pre-NAT mean ADC values (Spearman's coefficient: 0.288, P = 0.049). CONCLUSIONS The ADC values of PC increased significantly following NAT; however, the percentage increases failed to provide any predictive value for the resection margin status or TRG levels.
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Affiliation(s)
- Yufei Chen
- College of Electronic and Information Engineering, Tongji University, Shanghai, China
| | - Chao Ma
- College of Electronic and Information Engineering, Tongji University, Shanghai, China.
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China.
| | - Panpan Yang
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Kuanzheng Mao
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Yisha Gao
- Department of Pathology, Changhai Hospital of Shanghai, Naval Medical University, Shanghai, China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Zhen Wang
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Yun Bian
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Chengwei Shao
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
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Berger F, Ingenerf M, Auernhammer CJ, Cyran C, Ebner R, Zacherl M, Ricke J, Schmid-Tannwald C. [Imaging of pancreatic neuroendocrine tumors]. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:559-567. [PMID: 38789854 DOI: 10.1007/s00117-024-01316-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/24/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Neuroendocrine tumors of the pancreas have a broad biological spectrum. The treatment decision is based on an optimal diagnosis with regard to the local findings and possible locoregional and distant metastases. In addition to purely morphologic imaging procedures, functional parameters are playing an increasingly important role in imaging. OBJECTIVES Prerequisites for optimal imaging of the pancreas, technical principles are provided, and the advantages and disadvantages of common cross-sectional imaging techniques as well as clinical indications for these special imaging methods are discussed. MATERIALS AND METHODS Guidelines, basic and review papers will be analyzed. RESULTS Neuroendocrine tumors of the pancreas have a broad imaging spectrum. Therefore, there is a need for multimodality imaging in which morphologic and functional techniques support each other. While positron emission tomography/computed tomography (PET/CT) can determine the presence of one or more lesions and its/their functional status of the tumor, magnetic resonance imaging (MRI) efficiently identifies the location, relationship to the main duct and the presence of liver metastases. CT allows a better vascular evaluation, even in the presence of anatomical variants as well as sensitive detection of lung metastases. CONCLUSIONS Knowledge of the optimal combination of imaging modalities including clinical and histopathologic results and dedicated imaging techniques is essential to achieve an accurate diagnosis to optimize treatment decision-making and to assess therapy response.
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Affiliation(s)
- Frank Berger
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Maria Ingenerf
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Christoph J Auernhammer
- Medizinische Klinik und Poliklinik 4, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Clemens Cyran
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Ricarda Ebner
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Mathias Zacherl
- Klinik für Nuklearmedizin, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Jens Ricke
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Christine Schmid-Tannwald
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland.
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland.
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Horng A, Ingenerf M, Berger F, Steffinger D, Rübenthaler J, Zacherl M, Wenter V, Ricke J, Schmid-Tannwald C. Synchronous neuroendocine liver metastases in comparison to primary pancreatic neuroendocrine tumors on MRI and SSR-PET/CT. Front Oncol 2024; 14:1352538. [PMID: 38884077 PMCID: PMC11179428 DOI: 10.3389/fonc.2024.1352538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 05/17/2024] [Indexed: 06/18/2024] Open
Abstract
Background The study aimed to compare and correlate morphological and functional parameters in pancreatic neuroendocrine tumors (pNET) and their synchronous liver metastases (NELM), while also assessing prognostic imaging parameters. Methods Patients with G1/G2 pNET and synchronous NELM underwent pretherapeutic abdominal MRI with DWI and 68Ga-DOTATATE/TOC PET/CT were included. ADC (mean, min), SNR_art and SNT_T2 (SNR on arterial phase and on T2) and SUV (max, mean) for three target NELM and pNET, as well as tumor-free liver and spleen (only in PET/CT) were measured. Morphological parameters including size, location, arterial enhancement, cystic components, T2-hyperintensity, ductal dilatation, pancreatic atrophy, and vessel involvement were noted. Response evaluation used progression-free survival (PFS) with responders (R;PFS>24 months) and non-responders (NR;PFS ≤ 24 months). Results 33 patients with 33 pNETs and 95 target NELM were included. There were no significant differences in ADC and SUV values between NELM and pNET. 70% of NELM were categorized as hyperenhancing lesions, whereas the pNETs exhibited significantly lower rate (51%) of hyperenhancement (p<0.01) and significant lower SNR_art. NELM were qualitatively and quantitatively (SNR_T2) significantly more hyperintense on T2 compared to pNET (p=0.01 and p<0.001). NELM of R displayed significantly lower ADCmean value in comparison to the ADC mean value of pNET (0.898 versus 1.037x10-3mm²/s,p=0.036). In NR, T2-hyperintensity was notably higher in NELM compared to pNET (p=0.017). The hepatic tumor burden was significantly lower in the R compared to the NR (10% versus 30%). Conclusions Arterial hyperenhancement and T2-hyperintensity differ between synchronous NELM and pNET. These findings emphasize the importance of a multifaceted approach to imaging and treatment planning in patients with these tumors as well as in predicting treatment responses.
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Affiliation(s)
- Annie Horng
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Maria Ingenerf
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Frank Berger
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Denise Steffinger
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Matthias Zacherl
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Vera Wenter
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Jens Ricke
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
- European Neuroendocrine Tumor Society (ENETS) Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Christine Schmid-Tannwald
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
- European Neuroendocrine Tumor Society (ENETS) Centre of Excellence, Interdisciplinary Center of Neuroendocrine Tumours of the GastroEnteroPancreatic System at the University Hospital of Munich (GEPNET-KUM), University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
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Donners R, Candito A, Rata M, Sharp A, Messiou C, Koh DM, Tunariu N, Blackledge MD. Inter- and Intra-Patient Repeatability of Radiomic Features from Multiparametric Whole-Body MRI in Patients with Metastatic Prostate Cancer. Cancers (Basel) 2024; 16:1647. [PMID: 38730599 PMCID: PMC11083580 DOI: 10.3390/cancers16091647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/13/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
(1) Background: We assessed the test-re-test repeatability of radiomics in metastatic castration-resistant prostate cancer (mCPRC) bone disease on whole-body diffusion-weighted (DWI) and T1-weighted Dixon MRI. (2) Methods: In 10 mCRPC patients, 1.5 T MRI, including DWI and T1-weighted gradient-echo Dixon sequences, was performed twice on the same day. Apparent diffusion coefficient (ADC) and relative fat-fraction-percentage (rFF%) maps were calculated. Per study, up to 10 target bone metastases were manually delineated on DWI and Dixon images. All 106 radiomic features included in the Pyradiomics toolbox were derived for each target volume from the ADC and rFF% maps. To account for inter- and intra-patient measurement repeatability, the log-transformed individual target measurements were fitted to a hierarchical model, represented as a Bayesian network. Repeatability measurements, including the intraclass correlation coefficient (ICC), were derived. Feature ICCs were compared with mean ADC and rFF ICCs. (3) Results: A total of 65 DWI and 47 rFF% targets were analysed. There was no significant bias for any features. Pairwise correlation revealed fifteen ADC and fourteen rFF% feature sub-groups, without specific patterns between feature classes. The median intra-patient ICC was generally higher than the inter-patient ICC. Features that describe extremes in voxel values (minimum, maximum, range, skewness, and kurtosis) showed generally lower ICCs. Several mostly shape-based texture features were identified, which showed high inter- and intra-patient ICCs when compared with the mean ADC or mean rFF%, respectively. (4) Conclusions: Pyradiomics texture features of mCRPC bone metastases varied greatly in inter- and intra-patient repeatability. Several features demonstrated good repeatability, allowing for further exploration as diagnostic parameters in mCRPC bone disease.
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Affiliation(s)
- Ricardo Donners
- University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland
| | - Antonio Candito
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Mihaela Rata
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Adam Sharp
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Christina Messiou
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Dow-Mu Koh
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Nina Tunariu
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
| | - Matthew D. Blackledge
- The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; (A.C.); (M.R.); (A.S.); (C.M.); (D.-M.K.); (N.T.)
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Zhu HB, Zhu HT, Jiang L, Nie P, Hu J, Tang W, Zhang XY, Li XT, Yao Q, Sun YS. Radiomics analysis from magnetic resonance imaging in predicting the grade of nonfunctioning pancreatic neuroendocrine tumors: a multicenter study. Eur Radiol 2024; 34:90-102. [PMID: 37552258 PMCID: PMC10791720 DOI: 10.1007/s00330-023-09957-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
OBJECTIVES To explore the potential of radiomics features to predict the histologic grade of nonfunctioning pancreatic neuroendocrine tumor (NF-PNET) patients using non-contrast sequence based on MRI. METHODS Two hundred twenty-eight patients with NF-PNETs undergoing MRI at 5 centers were retrospectively analyzed. Data from center 1 (n = 115) constituted the training cohort, and data from centers 2-5 (n = 113) constituted the testing cohort. Radiomics features were extracted from T2-weighted images and the apparent diffusion coefficient. The least absolute shrinkage and selection operator was applied to select the most important features and to develop radiomics signatures. The area under receiver operating characteristic curve (AUC) was performed to assess models. RESULTS Tumor boundary, enhancement homogeneity, and vascular invasion were used to construct the radiological model to stratify NF-PNET patients into grade 1 and 2/3 groups, which yielded AUC of 0.884 and 0.684 in the training and testing groups. A radiomics model including 4 features was constructed, with an AUC of 0.941 and 0.871 in the training and testing cohorts. The fusion model combining the radiomics signature and radiological characteristics showed good performance in the training set (AUC = 0.956) and in the testing set (AUC = 0.864), respectively. CONCLUSION The developed model that integrates radiomics features with radiological characteristics could be used as a non-invasive, dependable, and accurate tool for the preoperative prediction of grade in NF-PNETs. CLINICAL RELEVANCE STATEMENT Our study revealed that the fusion model based on a non-contrast MR sequence can be used to predict the histologic grade before operation. The radiomics model may be a new and effective biological marker in NF-PNETs. KEY POINTS The diagnostic performance of the radiomics model and fusion model was better than that of the model based on clinical information and radiological features in predicting grade 1 and 2/3 of nonfunctioning pancreatic neuroendocrine tumors (NF-PNETs). Good performance of the model in the four external testing cohorts indicated that the radiomics model and fusion model for predicting the grades of NF-PNETs were robust and reliable, indicating the two models could be used in the clinical setting and facilitate the surgeons' decision on risk stratification. The radiomics features were selected from non-contrast T2-weighted images (T2WI) and diffusion-weighted imaging (DWI) sequence, which means that the administration of contrast agent was not needed in grading the NF-PNETs.
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Affiliation(s)
- Hai-Bin Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Hai-Tao Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Liu Jiang
- Department of Ultrasonography, Peking University First Hospital, Xi Cheng District, 100034, Beijing, China
- Department of Radiology, Peking University First Hospital, Xi Cheng District, Beijing, 100034, China
| | - Pei Nie
- Department of Radiology, Affiliated Hospital of Qingdao University, Shi Nan District, Qingdao, 266000, China
| | - Juan Hu
- Department of Radiology, First Affiliated Hospital of Kunming Medical University, Wu hua District, Kunming, 650032, China
| | - Wei Tang
- Department of Radiology, Fudan University Shanghai Cancer Center, Xu Hui District, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Xu Hui District, Shanghai, 200032, China
| | - Xiao-Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Qian Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital & Institute, Hai Dian District, Beijing, 100142, China
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China.
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Fukukura Y, Kanki A. Quantitative Magnetic Resonance Imaging for the Pancreas: Current Status. Invest Radiol 2024; 59:69-77. [PMID: 37433065 DOI: 10.1097/rli.0000000000001002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
ABSTRACT Magnetic resonance imaging (MRI) is important for evaluating pancreatic disorders, and anatomical landmarks play a major role in the interpretation of results. Quantitative MRI is an effective diagnostic modality for various pathologic conditions, as it allows the investigation of various physical parameters. Recent advancements in quantitative MRI techniques have significantly improved the accuracy of pancreatic MRI. Consequently, this method has become an essential tool for the diagnosis, treatment, and monitoring of pancreatic diseases. This comprehensive review article presents the currently available evidence on the clinical utility of quantitative MRI of the pancreas.
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Affiliation(s)
- Yoshihiko Fukukura
- From the Department of Radiology, Kawasaki Medical School, Kurashiki City, Okayama, Japan
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Liu YL, Zhu HB, Chen ML, Sun W, Li XT, Sun YS. Prediction of the lymphatic, microvascular, and perineural invasion of pancreatic neuroendocrine tumors using preoperative magnetic resonance imaging. World J Gastrointest Surg 2023; 15:2809-2819. [PMID: 38222000 PMCID: PMC10784819 DOI: 10.4240/wjgs.v15.i12.2809] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/06/2023] [Accepted: 12/06/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND Significant correlation between lymphatic, microvascular, and perineural invasion (LMPI) and the prognosis of pancreatic neuroendocrine tumors (PENTs) was confirmed by previous studies. There was no previous study reported the relationship between magnetic resonance imaging (MRI) parameters and LMPI. AIM To determine the feasibility of using preoperative MRI of the pancreas to predict LMPI in patients with non-functioning PENTs (NFPNETs). METHODS A total of 61 patients with NFPNETs who underwent MRI scans and lymphadenectomy from May 2011 to June 2018 were included in this retrospective study. The patients were divided into group 1 (n = 34, LMPI negative) and group 2 (n = 27, LMPI positive). The clinical characteristics and qualitative MRI features were collected. In order to predict LMPI status in NF-PNETs, a multivariate logistic regression model was constructed. Diagnostic performance was evaluated by calculating the receiver operator characteristic (ROC) curve with area under ROC, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. RESULTS There were significant differences in the lymph node metastasis stage, tumor grade, neuron-specific enolase levels, tumor margin, main pancreatic ductal dilatation, common bile duct dilatation, enhancement pattern, vascular and adjacent tissue involvement, synchronous liver metastases, the long axis of the largest lymph node, the short axis of the largest lymph node, number of the lymph nodes with short axis > 5 or 10 mm, and tumor volume between two groups (P < 0.05). Multivariate analysis showed that tumor margin (odds ratio = 11.523, P < 0.001) was a predictive factor for LMPI of NF-PNETs. The area under the receiver value for the predictive performance of combined predictive factors was 0.855. The sensitivity, specificity, PPV, NPV and accuracy of the model were 48.1% (14/27), 97.1% (33/34), 97.1% (13/14), 70.2% (33/47) and 0.754, respectively. CONCLUSION Using preoperative MRI, ill-defined tumor margins can effectively predict LMPI in patients with NF-PNETs.
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Affiliation(s)
- Yu-Liang Liu
- Department of Radiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Hai-Bin Zhu
- Department of Radiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Mai-Lin Chen
- Department of Radiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Wei Sun
- Department of Pathology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Xiao-Ting Li
- Department of Radiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Ying-Shi Sun
- Department of Radiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
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Donners R, Candito A, Blackledge M, Rata M, Messiou C, Koh DM, Tunariu N. Repeatability of quantitative individual lesion and total disease multiparametric whole-body MRI measurements in prostate cancer bone metastases. Br J Radiol 2023; 96:20230378. [PMID: 37660399 PMCID: PMC10607420 DOI: 10.1259/bjr.20230378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/07/2023] [Accepted: 07/18/2023] [Indexed: 09/05/2023] Open
Abstract
OBJECTIVES To assess the repeatability of quantitative multiparametric whole-body MRI (mpWB-MRI) parameters in advanced prostate cancer (APC) bone metastases. METHODS 1.5T MRI was performed twice on the same day in 10 APC patients. MpWB-MRI-included diffusion weighted imaging (DWI) and T1-weighted gradient-echo 2-point Dixon sequences. ADC and relative fat-fraction percentage (rFF%) maps were calculated, respectively. A radiologist delineated up to 10 target bone metastases per study. Means of ADC, b900 signal intensity(SI), normalised b900 SI, rFF% and maximum diameter (MD) for each target lesion and overall parameter averages across all targets per patient were recorded. The total disease volume (tDV in ml) was manually delineated on b900 images and mean global (g)ADC was derived. Bland-Altman analyses were performed with calculation of 95% repeatability coefficients (RC). RESULTS Seventy-three individual targets (median MD 26 mm) were included. Lesion mean ADC RC was 12.5%, mean b900 SI RC 137%, normalised mean b900 SI RC 110%, rFF% RC 3.2 and target MD RC 5.5 mm (16.3%). Patient target lesion average mean ADC RC was 6.4%, b900 SI RC 104% and normalised mean b900 SI RC 39.6%. Target average rFF% RC was 1.8, average MD RC 1.3 mm (4.8%). tDV segmentation RC was 6.4% and mean gADC RC 5.3%. CONCLUSIONS APC bone metastases' ADC, rFF% and maximum diameter, tDV and gADC show good repeatability. ADVANCES IN KNOWLEDGE APC bone metastases' mean ADC and rFF% measurements of single lesions and global disease volumes are repeatable, supporting their potential role as quantitative biomarkers in metastatic bone disease.
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Affiliation(s)
| | - Antonio Candito
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom
| | - Matthew Blackledge
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom
| | - Mihaela Rata
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom
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Gao J, Xu S, Ju H, Pan Y, Zhang Y. The potential application of MR-derived ADCmin values from 68Ga-DOTATATE and 18F-FDG dual tracer PET/MR as replacements for FDG PET in assessment of grade and stage of pancreatic neuroendocrine tumors. EJNMMI Res 2023; 13:10. [PMID: 36752942 PMCID: PMC9908795 DOI: 10.1186/s13550-023-00960-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND To evaluate the utility of 68Ga-DOTATATE and 18F-FDG PET/MR for prediction of grade and stage of pancreatic neuroendocrine tumors (PNETs), and to examine the correlation between parameters obtained from FDG PET and diffusion-weighted imaging (DWI) MR parameters. METHODS A retrospective study using 68Ga-DOTATATE and 18F-FDG PET/MR imaging was performed between April 2020 and May 2022 on 46 individuals with histologically confirmed PNETs. Metabolic tumor volume (MTV), maximum standardized uptake value (FSUVmax), and tumor lesion glycolysis (TLG) for FDG; somatostatin receptor density (SRD), maximum standardized uptake value (GSUVmax), and total lesion somatostatin receptor density (TLSRD) for DOTATATE; and minimum and mean apparent diffusion coefficient (ADCmin and ADCmean) values for MRI, respectively. We performed Spearman's correlation analysis to examine the links between these variables and primary tumor stage and grading. RESULTS Higher PNET grading was associated with higher FSUVmax, MTV, and TLG values (P < 0.05). TLG, SRD, ADCmin, and ADCmean values were correlated with N staging, while SRD, MTV, ADCmin, TLG, and ADCmean were associated with M staging. Notably, ADCmin was a negative correlation between FSUVmax (r = - 0.52; P < 0.001), MTV (r = - 0.50; P < 0.001), and TLG (r = - 0.56; P < 0.001). CONCLUSIONS This study highlights significant correlative relationships between FDG PET-derived parameters and ADCmin. ADCmin may offer utility as a tool for PNET staging and grading in lieu of FDG PET. 68Ga-DOTATATE PET/MR alone may be a sufficient alternative to dual tracer PET/MR when conducting grading and staging of primary PNETs.
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Affiliation(s)
- Jing Gao
- grid.16821.3c0000 0004 0368 8293Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025 China
| | - Si Xu
- grid.16821.3c0000 0004 0368 8293Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025 China
| | - Huijun Ju
- grid.16821.3c0000 0004 0368 8293Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025 China
| | - Yu Pan
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China.
| | - Yifan Zhang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197, Ruijin 2nd Road, Shanghai, 200025, China.
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Pancreatic Mass Characterization Using IVIM-DKI MRI and Machine Learning-Based Multi-Parametric Texture Analysis. Bioengineering (Basel) 2023; 10:bioengineering10010083. [PMID: 36671655 PMCID: PMC9854749 DOI: 10.3390/bioengineering10010083] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
Non-invasive characterization of pancreatic masses aids in the management of pancreatic lesions. Intravoxel incoherent motion-diffusion kurtosis imaging (IVIM-DKI) and machine learning-based texture analysis was used to differentiate pancreatic masses such as pancreatic ductal adenocarcinoma (PDAC), pancreatic neuroendocrine tumor (pNET), solid pseudopapillary epithelial neoplasm (SPEN), and mass-forming chronic pancreatitis (MFCP). A total of forty-eight biopsy-proven patients with pancreatic masses were recruited and classified into pNET (n = 13), MFCP (n = 6), SPEN (n = 4), and PDAC (n = 25) groups. All patients were scanned for IVIM-DKI sequences acquired with 14 b-values (0 to 2500 s/mm2) on a 1.5T MRI. An IVIM-DKI model with a 3D total variation (TV) penalty function was implemented to estimate the precise IVIM-DKI parametric maps. Texture analysis (TA) of the apparent diffusion coefficient (ADC) and IVIM-DKI parametric map was performed and reduced using the chi-square test. These features were fed to an artificial neural network (ANN) for characterization of pancreatic mass subtypes and validated by 5-fold cross-validation. Receiver operator characteristics (ROC) analyses were used to compute the area under curve (AUC). Perfusion fraction (f) was significantly higher (p < 0.05) in pNET than PDAC. The f showed better diagnostic performance for PDAC vs. MFCP with AUC:0.77. Both pseudo-diffusion coefficient (D*) and f for PDAC vs. pNET showed an AUC of 0.73. ADC and diffusion coefficient (D) showed good diagnostic performance for pNET vs. MFCP with AUC: 0.79 and 0.76, respectively. In the TA of PDAC vs. non-PDAC, f and combined IVIM-DKI parameters showed high accuracy ≥ 84.3% and AUC ≥ 0.84. Mean f and combined IVIM-DKI parameters estimated that the IVIM-DKI model with TV texture features has the potential to be helpful in characterizing pancreatic masses.
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Qualitative imaging features of pancreatic neuroendocrine neoplasms predict histopathologic characteristics including tumor grade and patient outcome. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:3971-3985. [PMID: 35166939 DOI: 10.1007/s00261-022-03430-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/22/2022] [Accepted: 01/25/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES To identify PanNEN imaging features associated with tumor grade and aggressive histopathological features. METHODS Associations between histopathological and imaging features of resected PanNEN were retrospectively tested. Histopathologic features included WHO grade, lymphovascular invasion (LVI), growth pattern (infiltrative, circumscribed), and intratumoral fibrosis (mature, immature). Imaging features included size, degree/uniformity of enhancement, progressive enhancement, contour, infiltrative appearance (infiltrativeim), calcifications, cystic components, tumor thrombus, vascular occlusion (VO), duct dilatation, and atrophy. Multinomial logistic regression analyses evaluated the magnitude of associations. Association of variables with outcome was assessed using Cox-proportional hazards regression. RESULTS 133 patients were included. 3 imaging features (infiltrativeim, ill-defined contour [contourill], and VO) were associated with all histopathologic parameters and poor outcome. Increase in grade increased odds of contourill by 15.6 times (p = 0.0001, 95% CI 3.8-64.4). PanNEN with VO were 51.1 times (p = 0.0002, 6.5-398.6) more likely to demonstrate LVI. For PanNEN with contourill, infiltrative growth pattern was 51.3 times (p < 0.0001, 9.1-288.4), and fibrosis was 14 times (p = 0.0065, 2.1-93.7) more likely. Contourill was associated with decreased recurrence-free survival (p = 0.0003, HR 18.29, 3.83-87.3) and VO (p = 0.0004, HR6.08, 2.22-16.68) with decreased overall survival. CONCLUSIONS Infiltrativeim, contourill, and VO on imaging are associated with higher grade/histopathological parameters linked to tumor aggression, and poor outcome.
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Ramachandran A, Madhusudhan KS. Advances in the imaging of gastroenteropancreatic neuroendocrine neoplasms. World J Gastroenterol 2022; 28:3008-3026. [PMID: 36051339 PMCID: PMC9331531 DOI: 10.3748/wjg.v28.i26.3008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 11/30/2021] [Accepted: 06/20/2022] [Indexed: 02/06/2023] Open
Abstract
Gastroenteropancreatic neuroendocrine neoplasms comprise a heterogeneous group of tumors that differ in their pathogenesis, hormonal syndromes produced, biological behavior and consequently, in their requirement for and/or response to specific chemotherapeutic agents and molecular targeted therapies. Various imaging techniques are available for functional and morphological evaluation of these neoplasms and the selection of investigations performed in each patient should be customized to the clinical question. Also, with the increased availability of cross sectional imaging, these neoplasms are increasingly being detected incidentally in routine radiology practice. This article is a review of the various imaging modalities currently used in the evaluation of neuroendocrine neoplasms, along with a discussion of the role of advanced imaging techniques and a glimpse into the newer imaging horizons, mostly in the research stage.
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Affiliation(s)
- Anupama Ramachandran
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Kumble Seetharama Madhusudhan
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi 110029, India
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Xie Y, Zhang S, Liu X, Huang X, Zhou Q, Luo Y, Niu Q, Zhou J. Minimal apparent diffusion coefficient in predicting the Ki-67 proliferation index of pancreatic neuroendocrine tumors. Jpn J Radiol 2022; 40:823-830. [DOI: 10.1007/s11604-022-01262-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 03/01/2022] [Indexed: 10/18/2022]
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Li W, Xu C, Ye Z. Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR. Front Oncol 2021; 11:758062. [PMID: 34868970 PMCID: PMC8637752 DOI: 10.3389/fonc.2021.758062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background Pancreatic neuroendocrine tumors (PNETs) grade is very important for treatment strategy of PNETs. The present study aimed to find the quantitative radiomic features for predicting grades of PNETs in MR images. Materials and Methods Totally 48 patients but 51 lesions with a pathological tumor grade were subdivided into low grade (G1) group and intermediate grade (G2) group. The ROI was manually segmented slice by slice in 3D-T1 weighted sequence with and without enhancement. Statistical differences of radiomic features between G1 and G2 groups were analyzed using the independent sample t-test. Logistic regression analysis was conducted to find better predictors in distinguishing G1 and G2 groups. Finally, receiver operating characteristic (ROC) was constructed to assess diagnostic performance of each model. Results No significant difference between G1 and G2 groups (P > 0.05) in non-enhanced 3D-T1 images was found. Significant differences in the arterial phase analysis between the G1 and the G2 groups appeared as follows: the maximum intensity feature (P = 0.021); the range feature (P = 0.039). Multiple logistic regression analysis based on univariable model showed the maximum intensity feature (P=0.023, OR = 0.621, 95% CI: 0.433-0.858) was an independent predictor of G1 compared with G2 group, and the area under the curve (AUC) was 0.695. Conclusions The maximum intensity feature of radiomic features in MR images can help to predict PNETs grade risk.
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Affiliation(s)
- Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Chao Xu
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
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Apparent Diffusion Coefficient Values for Neuroendocrine Liver Metastases. Acad Radiol 2021; 28 Suppl 1:S81-S86. [PMID: 33172816 DOI: 10.1016/j.acra.2020.10.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/20/2020] [Accepted: 10/20/2020] [Indexed: 12/15/2022]
Abstract
RATIONALE AND OBJECTIVES We aimed to investigate whether there are any differences in apparent diffusion coefficient (ADC) values obtained from liver metastases due to gastroenteropancreatic neuroendocrine tumors (GEP-NET) and adenocarcinomas. MATERIALS AND METHODS We included 54 patients with 167 liver metastases due to gastroenteropancreatic tumors. We divided the patients into two groups as liver metastases due to GEP-NETs (seven patients with 51 lesions, mean age: 48) and adenocarcinomas (47 patients with 116 lesions, mean age: 61.2). We used the independent samples t-test to compare the ADC and ADCmean values of the two groups and performed a receiver-operating characteristic analysis. RESULTS ADC and ADCmean values were significantly lower in the GEP-NET group compared with the adenocarcinoma group. Receiver-operating characteristic curve analysis showed a significant difference for ADC and ADCmean values, and area under the curve values were 0.733 and 0.790, respectively. The cut-off values were 933x10-6 mm2/s for ADC and 801x10-6 mm2/s for ADCmean. Diagnostic accuracies of ADC (Sensitivity = 80.2, Specificity = 64.7, PPV = 83.8, NPV = 58.9) and ADCmean (Sensitivity = 63.8, Specificity = 82.4, PPV = 89.2, NPV = 50) were calculated in differentiating adenocarcinoma metastases from GEP-NET metastases. CONCLUSION The lower ADC and ADCmean values of liver metastases suggest GEP-NET rather than adenocarcinomas. ADC and ADCmean values obtained from liver metastases may be used to differentiate NETs from adenocarcinomas.
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Ronot M, Vullierme MP. Morphological imaging of gastrointestinal and lung neuroendocrine neoplasms. CURRENT OPINION IN ENDOCRINE AND METABOLIC RESEARCH 2021; 19:1-7. [DOI: 10.1016/j.coemr.2021.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
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Muehler MR, Rendell VR, Bergmann LL, Winslow ER, Reeder SB. Ferumoxytol-enhanced MR imaging for differentiating intrapancreatic splenules from other tumors. Abdom Radiol (NY) 2021; 46:2003-2013. [PMID: 33377995 PMCID: PMC8131292 DOI: 10.1007/s00261-020-02883-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/19/2020] [Accepted: 11/25/2020] [Indexed: 12/21/2022]
Abstract
Objectives Ferumoxytol is an ultra-small superparamagnetic iron oxide (USPIO) agent that is taken up by splenic tissue. This study describes our initial institutional experience of ferumoxytol-enhanced MRI (feMRI) for differentiating intrapancreatic splenules (IPS) from other pancreatic lesions. Methods In this retrospective study, patients with computed tomographic imaging that identified small enhancing lesions in the tail of the pancreas subsequently underwent feMRI for further characterization. The feMRI protocol included T2-weighted (T2w) imaging with and without fat suppression (FS), R2* mapping, diffusion-weighted imaging (DWI), and T1-weighted (T1w) imaging with FS, prior to contrast injection. Immediately after slow intravenous infusion with 3 mg/kg body weight ferumoxytol, T1w was repeated. Delayed imaging with all sequences were obtained 24–72 h after ferumoxytol administration. Results Seven patients underwent feMRI. In two patients, the pancreatic lesions were presumed as pancreatic neuroendocrine tumor (PNET) from feMRI and in the remaining 5 IPS. One of the two patients with PNET was symptomatic for NET. In another symptomatic patient with pathologically proven duodenal NET and suspected PNET, the pancreatic lesion was proven to be an IPS on feMRI. IPS demonstrated strong negative enhancement in feMRI on T2w and increased R2* values consistent with splenic tissue, while the presumed PNETs did not enhance. T2w FS was helpful on the pre-contrast images to identify IPS, while R2* did on post-contrast images. Neither DWI nor T1w contributed to differentiating PNETs from IPS. Conclusions This study demonstrates the potential utility of feMRI as a helpful adjunct diagnostic tool for differentiating IPS from other pancreatic lesions. Further studies in larger patient cohorts are needed.
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Affiliation(s)
- M R Muehler
- Department of Radiology, University of Wisconsin, Madison, WI, USA.
- Department of Radiology and Neuroradiology, University Greifswald, Greifswald, Germany.
| | - V R Rendell
- Department of Surgery, University of Wisconsin, Madison, WI, USA
| | - L L Bergmann
- Department of Radiology, University of Texas Southwestern, Dallas, TX, USA
| | - E R Winslow
- Medstar Georgetown Transplant Institute, Medstar Georgetown University Hospital, Washington, DC, USA
| | - S B Reeder
- Department of Radiology, University of Wisconsin, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, USA
- Department Medical Physics, University of Wisconsin, Madison, WI, USA
- Department of Medicine, University of Wisconsin, Madison, WI, USA
- Department of Emergency Medicine, University of Wisconsin, Madison, WI, USA
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21
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Abstract
OBJECTIVE. The purpose of this article is to review the clinical manifestations, endocrine tumors types, and multimodality diagnostic tools available to physicians involved in the management of patients with multiple endocrine neoplasia (MEN) syndrome, in addition to discussing relevant imaging findings and appropriate imaging follow-up. CONCLUSION. Thorough knowledge of the spectrum of tumors associated with MEN gene mutations aids in the screening, diagnostic workup, and posttreatment monitoring of patients with MEN-related gene mutations.
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Bruckmann NM, Rischpler C, Kirchner J, Umutlu L, Herrmann K, Ingenwerth M, Theurer S, Lahner H, Antoch G, Sawicki LM. Correlation between contrast enhancement, standardized uptake value (SUV), and diffusion restriction (ADC) with tumor grading in patients with therapy-naive neuroendocrine neoplasms using hybrid 68Ga-DOTATOC PET/MRI. Eur J Radiol 2021; 137:109588. [PMID: 33639542 DOI: 10.1016/j.ejrad.2021.109588] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVES To investigate a correlation between 68Ga-DOTATOC PET/MR imaging parameters such as arterial and venous contrast enhancement, diffusion restriction, and maximum standardized uptake value (SUVmax) with histopathological tumor grading in patients with neuroendocrine neoplasms (NEN). MATERIAL AND METHODS A total of 26 patients with newly diagnosed, therapy-naive neuroendocrine neoplasms (NEN) were enrolled in this prospective study and underwent 68Ga-DOTATOC PET/MRI. Images were evaluated regarding NEN lesion number and location, predominant tumor signal intensity on precontrast T1w and T2w images and on postcontrast arterial and portal venous phase T1w images, apparent diffusion coefficient (ADC) and SUVmax. Histopathological tumor grading was assessed and related to PET/MRI features using Pearson's correlation coefficient and Fisher's exact t-test. A binary logistic regression analysis was performed to evaluate a potential relation with an aggressive tumor biology and odds ratios (OR) were calculated. RESULTS There was a moderate negative correlation between arterial contrast enhancement and tumor grading (r=-0.35, p = 0.005), while portal venous enhancement showed a weak positive correlation with the Ki-67 index (r = 0.28, p = 0.008) and a non-significant positive correlation with tumor grading (r = 0.19, p = 0.063). Features that were significantly associated with an aggressive tumor biology were the presence of liver metastases (OR 2.6, p = 0.042), T1w hyperintensity in comparison to muscle (OR 12.7, p = 0.0001), arterial phase hyperenhancement (OR 1.4, p = 0.001), diffusion restriction (OR 2.8, p = 0.02) and SUVmax above the hepatic level (OR 7.0, p = 0.001). CONCLUSION The study reveals that PET/MRI features might be useful for prediction of NEN grading and thus provide a preliminary assessment of tumor aggressiveness.
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Affiliation(s)
- Nils Martin Bruckmann
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - Christoph Rischpler
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Julian Kirchner
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany.
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Marc Ingenwerth
- Institute of Pathology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK) Essen, Germany
| | - Sarah Theurer
- Institute of Pathology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK) Essen, Germany
| | - Harald Lahner
- Department of Endocrinology and Metabolism, Division of Laboratory Research, University Hospital Essen, University Duisburg-Essen, D-45247 Essen, Germany
| | - Gerald Antoch
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
| | - Lino M Sawicki
- University Dusseldorf, Medical Faculty, Department of Diagnostic and Interventional Radiology, D-40225 Dusseldorf, Germany
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23
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Textural analysis of hybrid DOTATOC-PET/MRI and its association with histological grading in patients with liver metastases from neuroendocrine tumors. Nucl Med Commun 2021; 41:363-369. [PMID: 31977752 DOI: 10.1097/mnm.0000000000001150] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
AIMS Neuroendocrine tumors (NETs) are known to overexpress somatostatin receptors (SSTR), which can be visualized by DOTATOC-PET. Reduced SSTR expression on the other hand may indicate dedifferentiation. The aim of this retrospective study was to assess, if conventional PET parameters and textural features (TF) derived from simultaneous PET and MRI including apparent diffusion coefficient (ADC) are associated with the proliferative activity of NETs, potentially allowing non-invasive tumor grading. METHODS Our institutional database was screened for patients with NET and liver metastases >1 cm. We assessed conventional PET parameters, such as maximum and mean standardized uptake value and more elaborate TF parameters from PET and ADC-MRI (including entropy and homogeneity) from up to the five largest liver lesions per patient. The association of proliferative activity as measured by Ki67-/MIB1-index with the aforementioned parameters was analyzed. RESULTS One hundred patients with NET/NECs were eligible with a Ki67-index ranging from <1% to 30%. Overall, 304 liver lesions were analyzed. Conventional PET parameters, entropy, homogeneity of PET and ADC maps differed significantly between G1 and G2 NETs. However, Spearman's test showed a weak association (r = -0.23 to 0.31). DISCUSSION In our study cohort, conventional PET parameters and TF of PET and ADC-MRI showed only a weak correlation with Ki67. This indicates that in patients with a Ki67-index of up to 30% TF analysis of combined PET/MRI may not be reliably used for accurate non-invasive tumor grading. On the other hand, DOTATOC-PET might be a suitable staging tool in some higher grade NET/NECs.
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Bicci E, Cozzi D, Ferrari R, Grazzini G, Pradella S, Miele V. Pancreatic neuroendocrine tumours: spectrum of imaging findings. Gland Surg 2020; 9:2215-2224. [PMID: 33447574 DOI: 10.21037/gs-20-537] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Pancreatic neuroendocrine tumours (pNETs) are rare and heterogeneous group of neoplasms presenting with a wide variety of symptoms and biological behaviour, from indolent to aggressive ones. pNETs are stratified into functional or non-functional, because of their ability to produce metabolically active hormones. pNETs can be an isolate phenomenon or a part of a hereditary syndrome like von Hippel-Lindau syndrome or neurofibromatosis-1. The incidence has increased in the last years, also because of the improvement of cross-sectional imaging. Computed tomography (CT), magnetic resonance imaging (MRI) and functional imaging are the mainstay imaging modalities used for tumour detection and disease extension assessment, due to easy availability and better contrast/spatial resolution. Radiological imaging plays a fundamental role in detection, characterization and surveillance of pNETs and is involved in almost every stage of patients' management. Moreover, with specific indications and techniques, interventional radiology can also play a role in therapeutic management. Surgery is the treatment of choice, consisting of either partial pancreatectomy or enucleation of the primary tumour. This article reviews the radiologic features of different pNETs as well as imaging mimics, in order to help radiologists to avoid potential pitfalls, to reach the correct diagnosis and to support the multidisciplinary team in establishing the right treatment.
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Affiliation(s)
- Eleonora Bicci
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
| | - Riccardo Ferrari
- Department of Emergency Radiology, San Camillo Forlanini Hospital, Rome, Italy
| | - Giulia Grazzini
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
| | - Silvia Pradella
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, Florence, Italy
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Positron emission tomography/magnetic resonance imaging for the diagnosis and differentiation of pancreatic tumors. Nucl Med Commun 2020; 41:155-161. [PMID: 31834254 DOI: 10.1097/mnm.0000000000001125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE This retrospective study aimed to evaluate the diagnostic efficiency of simultaneous positron emission tomography/magnetic resonance imaging (PET/MR) in differentiating the benign and malignant of pancreatic tumors as well as the differentiation of pancreatic cancer. METHODS A total of 62 patients with suspected pancreatic tumors, diagnosed by PET/MR examinations, were collected in this study. These patients were divided into benign group and malignant group. The characteristics of the morphological MR, apparent diffusion coefficient (ADC), the mean of standardized uptake value (SUVmean), maximum values of standardized uptake value (SUVmax), in lesions were measured, and the novel parameters SUVpeak/ADC and SUVmax/ADC were constructed. The diagnostic efficiency for differentiating the benign and malignant lesions was analyzed by receiver operating characteristic (ROC) curve, and the diagnosis efficiency for the differentiation of pancreatic cancer was analyzed by Spearman correlation analysis. RESULTS In differentiating the benign and malignant of pancreatic tumors, the diagnostic efficiency increased in the order of SUVpeak (AUROC: 0.760), SUVmax (AUROC: 0.774), T1T2 (AUROC: 0.789), ADC (AUROC: 0.817), SUVpeak/ADC (AUROC: 0.836), SUVmax/ADC (AUROC: 0.847). There was no significant correlation for SUVmax, SUVpeak, ADC, SUVpeak/ADC, and SUVmax/ADC with the differentiation of pancreatic cancer (P > 0.05). Besides, T1T2 was not significantly correlated to the differentiation of pancreatic cancer (P = 0.026, r = -0.406). CONCLUSION The integration of PET/MR imaging could be used to efficiently diagnose whether the pancreatic tumor was benign or malignant. The SUVmax/ADC was the most efficient metric, while it could not help in the differentiation of pancreatic cancer.
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Ohki K, Igarashi T, Ashida H, Takenaga S, Shiraishi M, Nozawa Y, Ojiri H. Usefulness of texture analysis for grading pancreatic neuroendocrine tumors on contrast-enhanced computed tomography and apparent diffusion coefficient maps. Jpn J Radiol 2020; 39:66-75. [PMID: 32885378 DOI: 10.1007/s11604-020-01038-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/21/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE To determine whether texture analysis of contrast-enhanced computed tomography (CECT) and apparent diffusion coefficient (ADC) maps could predict tumor grade (G1 vs G2-3) in patients with pancreatic neuroendocrine tumor (PNET). MATERIALS AND METHODS Thirty-three PNETs (22 G1 and 11 G2-3) were retrospectively reviewed. Fifty features were individually extracted from the arterial and portal venous phases of CECT and ADC maps by two radiologists. Diagnostic performance was assessed by receiver operating characteristic curves while inter-observer agreement was determined by calculating intraclass correlation coefficients (ICCs). RESULTS G2-G3 tumors were significantly larger than G1. Seventeen features significantly differed among the two readers on univariate analysis, with ICCs > 0.6; the largest area under the curve (AUC) for features of each CECT phase and ADC map was log-sigma 1.0 joint-energy = 0.855 for the arterial phase, log-sigma 1.5 kurtosis = 0.860 for the portal venous phase, and log-sigma 1.0 correlation = 0.847 for the ADC map. The log-sigma 1.5 kurtosis of the portal venous phase showed the largest AUC in the CECT and ADC map, and its sensitivity, specificity, and accuracy were 95.5%, 72.7%, and 87.9%, respectively. CONCLUSION Texture analysis may aid in differentiating between G1 and G2-3 PNET.
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Affiliation(s)
- Kazuyoshi Ohki
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan.
| | - Takao Igarashi
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Hirokazu Ashida
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Shinsuke Takenaga
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Megumi Shiraishi
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Yosuke Nozawa
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Hiroya Ojiri
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
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Morse B, Al-Toubah T, Montilla-Soler J. Anatomic and Functional Imaging of Neuroendocrine Tumors. Curr Treat Options Oncol 2020; 21:75. [PMID: 32728967 DOI: 10.1007/s11864-020-00770-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OPINION STATEMENT Neuroendocrine tumors (NETs) can occur in a wide variety of organs and display a spectrum of pathologic behavior. Accurate and effective imaging is paramount to the diagnosis, staging, therapy, and surveillance of patients with NET. There have been continuous advancements in the imaging of NET which includes anatomic and functional techniques.
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Affiliation(s)
- Brian Morse
- Department of Diagnostic Imaging, Moffitt Cancer Center, 12902 Magnolia Drive, WCB-RAD, Tampa, FL, 33612, USA.
| | - Taymeyah Al-Toubah
- Department of Gastrointestinal Oncology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, USA
| | - Jaime Montilla-Soler
- Department of Diagnostic Imaging, Moffitt Cancer Center, 12902 Magnolia Drive, WCB-RAD, Tampa, FL, 33612, USA
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Azoulay A, Cros J, Vullierme MP, de Mestier L, Couvelard A, Hentic O, Ruszniewski P, Sauvanet A, Vilgrain V, Ronot M. Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma. Diagn Interv Imaging 2020; 101:821-830. [PMID: 32709455 DOI: 10.1016/j.diii.2020.06.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/28/2020] [Accepted: 06/29/2020] [Indexed: 12/21/2022]
Abstract
PURPOSE To compare morphological imaging features and CT texture histogram parameters between grade 3 pancreatic neuroendocrine tumors (G3-NET) and neuroendocrine carcinomas (NEC). MATERIALS AND METHODS Patients with pathologically proven G3-NET and NEC, according to the 2017 World Health Organization classification who had CT and MRI examinations between 2006-2017 were retrospectively included. CT and MRI examinations were reviewed by two radiologists in consensus and analyzed with respect to tumor size, enhancement patterns, hemorrhagic content, liver metastases and lymphadenopathies. Texture histogram analysis of tumors was performed on arterial and portal phase CT images. images. Morphological imaging features and CT texture histogram parameters of G3-NETs and NECs were compared. RESULTS Thirty-seven patients (21 men, 16 women; mean age, 56±13 [SD] years [range: 28-82 years]) with 37 tumors (mean diameter, 60±46 [SD] mm) were included (CT available for all, MRI for 16/37, 43%). Twenty-three patients (23/37; 62%) had NEC and 14 patients (14/37; 38%) had G3-NET. NECs were larger than G3-NETs (mean, 70±51 [SD] mm [range: 18 - 196mm] vs. 42±24 [SD] mm [range: 8 - 94mm], respectively; P=0.039), with more tumor necrosis (75% vs. 33%, respectively; P=0.030) and lower attenuation on precontrast (30±4 [SD] HU [range: 25-39 HU] vs. 37±6 [SD] [range: 25-45 HU], respectively; P=0.002) and on portal venous phase CT images (75±18 [SD] HU [range: 43 - 108 HU] vs. 92±19 [SD] HU [range: 46 - 117 HU], respectively; P=0.014). Hemorrhagic content on MRI was only observed in NEC (P=0.007). The mean ADC value was lower in NEC ([1.1±0.1 (SD)]×10-3 mm2/s [range: (0.91 - 1.3)×10-3 mm2/s] vs. [1.4±0.2 (SD)]×10-3 mm2/s [range: (1.1 - 1.6)×10-3 mm2/s]; P=0.005). CT histogram analysis showed that NEC were more heterogeneous on portal venous phase images (Entropy-0: 4.7±0.2 [SD] [range: 4.2-5.1] vs. 4.5±0.4 [SD] [range: 3.7-4.9]; P=0.023). CONCLUSION Pancreatic NECs are larger, more frequently hypoattenuating and more heterogeneous with hemorrhagic content than G3-NET on CT and MRI.
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Affiliation(s)
- A Azoulay
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France
| | - J Cros
- Department of Pathology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; Université de Paris, Diderot Paris 7, 75010 Paris, France; INSERM U1149, CRI, Paris, France
| | - M-P Vullierme
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France
| | - L de Mestier
- Université de Paris, Diderot Paris 7, 75010 Paris, France; Department of Pancreatology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; INSERM U1149, CRI, Paris, France
| | - A Couvelard
- Department of Pathology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; Université de Paris, Diderot Paris 7, 75010 Paris, France; INSERM U1149, CRI, Paris, France
| | - O Hentic
- Department of Pancreatology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France
| | - P Ruszniewski
- Université de Paris, Diderot Paris 7, 75010 Paris, France; Department of Pancreatology, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; INSERM U1149, CRI, Paris, France
| | - A Sauvanet
- Department of HPB Surgery, University Hospitals Paris Nord Val de Seine, Beaujon Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France
| | - V Vilgrain
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; Université de Paris, Diderot Paris 7, 75010 Paris, France; INSERM U1149, CRI, Paris, France
| | - M Ronot
- Department of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Assistance Publique-Hôpitaux de Paris, 92118 Clichy, France; Université de Paris, Diderot Paris 7, 75010 Paris, France; INSERM U1149, CRI, Paris, France.
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Verde F, Galatola R, Romeo V, Perillo T, Liuzzi R, Camera L, Klain M, Modica R, Faggiano A, Napolitano V, Colao A, Brunetti A, Maurea S. Pancreatic Neuroendocrine Tumors in Patients with Multiple Endocrine Neoplasia Type 1: Diagnostic Value of Different MRI Sequences. Neuroendocrinology 2020; 111:696-704. [PMID: 32580192 DOI: 10.1159/000509647] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 06/23/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND MRI is a useful imaging modality to assess the presence of pancreatic neuroendocrine tumors (PNETs), allowing repeat monitoring examinations in multiple endocrine neoplasia type 1 (MEN-1) patients. OBJECTIVES We aimed to compare the diagnostic accuracy of conventional MRI sequences to identify which sequence better depicts the presence of PNETs in MEN-1 patients. METHOD We performed a retrospective analysis of consecutive MEN-1 patients who underwent a conventional MRI protocol to monitor previously proven PNETs. MRI sequences T1-w chemical shift (CS), T2-w HASTE, fat-suppressed (FS) T2-w HASTE, diffusion-weighted imaging (DWI), and pre- and post-contrast FS T1-w sequences were independently analyzed by 2 experienced radiologists using a 3-grade score (no lesion, uncertain lesion, and certain lesion); lesion size and signal intensity were recorded. A Friedman ANOVA and a Wilcoxon pairwise test for the post hoc analysis were used. The sensitivity of each sequence was measured, and the results were analyzed with the χ2 test. RESULTS We included 21 patients with a total of 45 PNETs proven by histology, endoscopic ultrasonography-guided fine-needle aspiration, CT, and nuclear medicine studies. A statistically significant (p < 0.01) difference was observed in the detection performance of each MRI sequence, particularly between DWI (91%) and T2-w FS (85%) sequences in comparison to the others (T1-w CS, T2-w, and pre- and post-contrast FS T1-w, ≤56% for all); no significant (p = 0.5) difference was found between the detection performance of DWI and T2-w FS sequences. No correlation was observed between the qualitative score of each sequence and lesion tumor size. CONCLUSIONS DWI and T2-w FS sequences proved to be the most accurate in the detection of PNETs, thus suggesting a role for an abbreviated MRI protocol without contrast medium administration for monitoring MEN-1 patients.
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Affiliation(s)
- Francesco Verde
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Roberta Galatola
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy,
| | - Teresa Perillo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Raffaele Liuzzi
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples, Italy
| | - Luigi Camera
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Roberta Modica
- Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy
| | - Antongiulio Faggiano
- Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy
| | - Vincenzo Napolitano
- Department of Translational Medical Sciences, University of Campania "L. Vanvitelli,", Naples, Italy
| | - Annamaria Colao
- Department of Clinical Medicine and Surgery, University of Naples "Federico II,", Naples, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
| | - Simone Maurea
- Department of Advanced Biomedical Sciences, University of Naples "Federico II,", Naples, Italy
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Diagnostic Value of Whole-Body DWI With Background Body Suppression Plus Calculation of Apparent Diffusion Coefficient at 3 T Versus 18F-FDG PET/CT for Detection of Bone Metastases. AJR Am J Roentgenol 2020; 214:446-454. [PMID: 31799866 DOI: 10.2214/ajr.19.21656] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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31
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Correlation Between Apparent Diffusion Coefficient Value on MRI and Histopathologic WHO Grades of Neuroendocrine Tumors. J Belg Soc Radiol 2020; 104:7. [PMID: 32025623 PMCID: PMC6993591 DOI: 10.5334/jbsr.1925] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background The correlation of diffusion-weighted MRI and tumor aggressiveness has been established for different tumor types, which leads to the question if it could also apply for neuroendocrine tumors (NET). Purpose To investigate the possible correlation between apparent diffusion coefficient (ADC) value on magnetic resonance imaging (MRI) and histopathologic WHO-grades of NET. Material and Methods Electronic patient records from patients presented at the multidisciplinary neuro-endocrine tumor board between November 2017 and April 2019 were retrospectively reviewed. Patients with both available MR imaging (primary tumor or metastasis) and known WHO tumor grade were included (n = 47). Average and minimum ADC values (avgADC; minADC) were measured by drawing a freehand ROI excluding only the outermost border of the lesion. The largest axial size (primary tumor) or most clearly delineated lesion (metastasis) was used. Results Forty seven patients met the inclusion criteria (mean age 59 ± 12 SD; 24F/23M). Twenty one patients (45%) were diagnosed with WHO G1 tumor, 17 seventeen with G2 (36%) and nine with G3 (19%) tumor. Twenty eight primary tumors and 19 metastases were measured. A significant difference was found between low-grade (G1+G2) and high-grade (G3) tumors (Mann-Whitney; avgADC: p < 0,001; minADC: p = 0,001). There was a moderate negative correlation between WHO-grade and avgADC/minADC (Spearman; avgADC: -0,606; 95% CI [-0,773; -0,384]; minADC: -0,581; 95% CI [-0.759; -0.353]). Conclusion Our data show a significant difference in both average and minimum ADC values on MRI between low and high grade NET. A moderate negative correlation was found between histopathologic WHO grade and ADC value.
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Adams LC, Bressem KK, Brangsch J, Reimann C, Nowak K, Brenner W, Makowski MR. Quantitative 3D Assessment of 68Ga-DOTATOC PET/MRI with Diffusion-Weighted Imaging to Assess Imaging Markers for Gastroenteropancreatic Neuroendocrine Tumors: Preliminary Results. J Nucl Med 2019; 61:1021-1027. [PMID: 31862798 DOI: 10.2967/jnumed.119.234062] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 11/13/2019] [Indexed: 01/09/2023] Open
Abstract
68Ga-DOTATOC PET/MRI combines the advantages of PET in the acquisition of metabolic-functional information with the high soft-tissue contrast of MRI. SUVs in tumors have been suggested to be a measure of somatostatin receptor expression. A challenge with receptor ligands is that the distribution volume is confined to tissues with tracer uptake, potentially limiting SUV quantification. In this study, various functional 3-dimensional SUV apparent diffusion coefficient (ADC) parameters and arterial tumor enhancement were tested for ability to characterize gastroenteropancreatic (GEP) neuroendocrine tumors (NETs). Methods: For this single-center, cross-sectional study, 22 patients with 24 histologically confirmed GEP NET lesions (15 men and 7 women; median age, 61 y; range, 43-81 y) who underwent hybrid 68Ga-DOTA PET/MRI at 3 T between January 2017 and July 2019 met the eligibility criteria. SUV, tumor-to-background ratio, total functional tumor volume, and mean and minimum ADC were measured on the basis of volumes of interest and examined with receiver-operating-characteristic analysis to determine cutoffs for differentiation between low- and intermediate-grade GEP NETs. The Spearman rank correlation coefficient was used to assess correlations between functional imaging parameters. Results: The ratio of PET-derived SUVmean and diffusion-weighted imaging-derived minimum ADC was introduced as a combined variable to predict tumor grade, outperforming single predictors. On the basis of a threshold ratio of 0.03, tumors could be classified as grade 2 with a sensitivity of 86% and a specificity of 100%. SUV and functional ADCs, as well as arterial contrast enhancement parameters, showed nonsignificant and mostly negligible correlations. Conclusion: Because receptor density and tumor cellularity appear to be independent, potentially complementary phenomena, the combined ratio of PET/MRI and SUVmean/ADCmin may be used as a novel biomarker allowing differentiation between grade 1 and grade 2 GEP NETs.
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Affiliation(s)
- Lisa C Adams
- Department of Radiology Charité, Berlin, Germany; and
| | | | | | | | - Kristin Nowak
- Department of Radiology Charité, Berlin, Germany; and
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Singh A, Hines JJ, Friedman B. Multimodality Imaging of the Pancreatic Neuroendocrine Tumors. Semin Ultrasound CT MR 2019; 40:469-482. [DOI: 10.1053/j.sult.2019.04.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Fan R, Zhu H, Niu J, Li J, Zheng R, Song X. Correlation of histological marrow characteristics and intravoxel incoherent motion-derived parameters in benign and malignant hematological disorders. Eur J Radiol 2019; 123:108745. [PMID: 31899061 DOI: 10.1016/j.ejrad.2019.108745] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 11/05/2019] [Accepted: 11/08/2019] [Indexed: 12/28/2022]
Abstract
PURPOSE To investigate the relationship between intravoxel incoherent motion (IVIM) parameters and histological parameters of vascularity and cellularity in marrow of hyperplasia disease and compare the difference between benign and malignant marrow disorders. METHODS From August 2016 to March 2017, 43 newly diagnosed patients were recruited, which included 15 anemia patients (benign hemopathy) and 28 patients with acute leukemia (AL) (malignant hemopathy). All patients underwent IVIM in the lumbar marrow and the D, D*, f values were measured. The microvessel density (MVD) and cellularity of marrow were calculated from the sample of iliac crest biopsy. Pearson correlation analysis was used to study the relationship between IVIM-derived and histology-derived parameters. We performed unpaired t test to analyze the differences of all parameters between AL and anemia. RESULT The MVD was positively correlated with f in patients with AL, anemia and both of them (r = 0.692, P < 0.001; r = 0.595, P = 0.019; r = 0.673, P < 0.001, respectively). But there was no correlation between D* and MVD in three groups. D was not related to bone marrow cellularity (BMC) in all groups. In addition, the f and MVD were higher in AL than anemia (t = 3.546, P = 0.001; t = 6.695, P < 0.001, respectively). The BMC was significantly higher in AL than in anemia (t = 3.330, P = 0.004), but D and D* value had no significant difference between the two groups. CONCLUSION The blood volume fraction f was positively correlated with the histological features of marrow in hematological disorders, while f can show the difference of vascularity between benign and malignant marrow disease.
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Affiliation(s)
- Rong Fan
- Department of Radiology, The Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, 030001, China
| | - Hong Zhu
- Department of Radiology, Children's Hospital of Shanxi, 13 Xinmin North Street, Taiyuan, Shanxi, 030001, China
| | - Jinliang Niu
- Department of Radiology, The Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, 030001, China.
| | - Jianting Li
- Shanxi Medical University, 56 Xinjian South Road, Taiyuan, Shanxi, 030001, China
| | - Rong Zheng
- Shanxi Medical University, 56 Xinjian South Road, Taiyuan, Shanxi, 030001, China
| | - Xiaoli Song
- Department of Radiology, The Second Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, Shanxi, 030001, China
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The multidisciplinary team for gastroenteropancreatic neuroendocrine tumours: the radiologist's challenge. Radiol Oncol 2019; 53:373-387. [PMID: 31652122 PMCID: PMC6884929 DOI: 10.2478/raon-2019-0040] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 07/15/2019] [Indexed: 02/07/2023] Open
Abstract
Background Gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are a heterogeneous group of tumours. An effective diagnosis requires a multimodal approach that combines evaluation of clinical symptoms, hormonelevels, radiological and nuclear imaging, and histological confirmation. Imaging plays a critical role in NETs diagnosis, prognosis and management, so the radiologists are important members of the multidisciplinary team. During diagnostic work-up two critical issues are present: firstly the need to identify tumor presence and secondly to define the primary site and assess regional and distant metastases. Conclusions The most appropriate imaging technique depends on the type of neuroendocrine tumour and the availability of specialized imaging techniques and expertise. There is no general consensus on the most efficient imaging pathway, reflecting the challenge in reliably detection of these tumours.
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Ma W, Wei M, Han Z, Tang Y, Pan Q, Zhang G, Ren J, Huan Y, Li N. The added value of intravoxel incoherent motion diffusion weighted imaging parameters in differentiating high-grade pancreatic neuroendocrine neoplasms from pancreatic ductal adenocarcinoma. Oncol Lett 2019; 18:5448-5458. [PMID: 31612053 PMCID: PMC6781772 DOI: 10.3892/ol.2019.10863] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 08/16/2019] [Indexed: 12/13/2022] Open
Abstract
The aim of the present study was to investigate the potential significance of intravoxel incoherent motion (IVIM)-diffusion weighted imaging (DWI) in differentiating high-grade pancreatic neuroendocrine neoplasms (pNENs) from pancreatic ductal adenocarcinoma (PDAC). A total of 50 patients, including 37 patients with PDAC and 13 patients with high-grade pNENs, underwent pancreatic multiple b-values DWI with 15 b-values including 0, 10, 20, 40, 60, 80, 100, 150, 200, 400, 800, 1,000, 1,200, 1,500 and 2,000 sec/mm2. Standard apparent diffusion coefficient (ADCstandard) and IVIM parameter [slow apparent diffusion coefficient (Dslow), fast apparent diffusion coefficient (Dfast), fraction of fast apparent diffusion coefficient (ƒ)] values of PDAC and pNENs were compared. P<0.05 was considered to indicate a statistically significant difference. Receiver operating characteristics analysis was performed in order to evaluate the diagnostic potential of IVIM parameters for differentiating high-grade pNENs from PDAC. Dslow of pNENs was significantly lower compared with that of PDAC (0.460 vs. 0.579×10−3 mm2/sec; P=0.001). Dfast of pNENs was significantly higher compared with that of PDAC (13.361 vs. 4.985×10−3 mm2/sec; P<0.001). Area under the curve of Dslow, Dfast and combined Dslow and Dfast was 0.793, 0.863 and 0.885 respectively. The specificity and sensitivity of Dslow≤0.472×10−3 mm2/sec were 97.3 and 53.9%, respectively, for differentiating high-grade pNENs from PDAC. The specificity and sensitivity of Dfast >9.58×10−3 mm2/sec were 91.9 and 69.2%, respectively, for differentiating high-grade pNENs from PDAC. When Dslow and Dfast were combined, the specificity and sensitivity for differentiating high-grade pNENs from PDAC were 76.9 and 100%, respectively. Taken together, these results indicated that the diffusion-associated parameter Dslow and the perfusion-associated parameter Dfast of IVIM-DWI may differentiate high-grade pNENs from PDAC with high diagnostic accuracy, and that IVIM-DWI may be a valuable biomarker in differentiating pancreatic neoplasms.
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Affiliation(s)
- Wanling Ma
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Mengqi Wei
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Zhiwei Han
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Yongqiang Tang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Qi Pan
- Department of Radiology, Second Affiliated Hospital of Xi'an Medical Collage, Xi'an, Shaanxi 710038, P.R. China
| | - Guangwen Zhang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Jing Ren
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Yi Huan
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Na Li
- Department of Radiology, Ninth Hospital of Xi'an City, Xi'an, Shaanxi 710068, P.R. China
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Differentiation between non-hypervascular pancreatic neuroendocrine tumour and pancreatic ductal adenocarcinoma on dynamic computed tomography and non-enhanced magnetic resonance imaging. Pol J Radiol 2019; 84:e153-e161. [PMID: 31019610 PMCID: PMC6479137 DOI: 10.5114/pjr.2019.84193] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 02/11/2019] [Indexed: 12/30/2022] Open
Abstract
Purpose To determine the differentiating features between non-hypervascular pancreatic neuroendocrine tumour (PNET) and pancreatic ductal adenocarcinoma (PDAC) on dynamic computed tomography (CT) and non-enhanced magnetic resonance imaging (MRI). Material and methods We enrolled 102 patients with non-hypervascular PNET (n = 15) or PDAC (n = 87), who had undergone dynamic CT and non-enhanced MRI. One radiologist evaluated all images, and the results were subjected to univariate and multivariate analyses. To investigate reproducibility, a second radiologist re-evaluated features that were significantly different between PNET and PDAC on multivariate analysis. Results Tumour margin (well-defined or ill-defined) and enhancement ratio of tumour (ERT) showed significant differences in univariate and multivariate analyses. Multivariate analysis revealed a predominance of well-defined tumour margins in non-hypervascular PNET, with an odds ratio of 168.86 (95% confidence interval [CI]: 10.62-2685.29; p < 0.001). Furthermore, ERT was significantly lower in non-hypervascular PNET than in PDAC, with an odds ratio of 85.80 (95% CI: 2.57-2860.95; p = 0.01). Sensitivity, specificity, and accuracy were 86.7%, 96.6%, and 95.1%, respectively, when the tumour margin was used as the criteria. The values for ERT were 66.7%, 98.9%, and 94.1%, respectively. In reproducibility tests, both tumour margin and ERT showed substantial agreement (margin of tumour, κ = 0.6356; ERT, intraclass correlation coefficients (ICC) = 0.6155). Conclusions Non-hypervascular PNET showed well-defined margins and lower ERT compared to PDAC, with significant differences. Our results showed that non-hypervascular PNET can be differentiated from PDAC via dynamic CT and non-enhanced MRI.
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Pancreatic neuroendocrine tumors: MR imaging features preoperatively predict lymph node metastasis. Abdom Radiol (NY) 2019; 44:1000-1009. [PMID: 30539251 DOI: 10.1007/s00261-018-1863-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSES Predictive factors of lymph node metastasis (LNM) in pancreatic neuroendocrine tumors (pNETs) are not well established. We sought to identify the value of MR imaging features in preoperatively predicting the lymph node metastasis of pNETs. MATERIALS AND METHODS In this study, we enrolled 108 consecutive patients with pNETs between January 2009 and June 2018. MR morphologic features and quantitative data were evaluated. Predictors of LNM were evaluated using univariate and multivariate logistic regression models. RESULTS A total of 108 patients with pNETs were finally enrolled, including 82 LNM-negative and 26 LNM-positive patients. Features significantly related to the LNM of pNETs at univariate analysis were tumor size > 2 cm (P = 0.003), Ki-67 > 5% (P = 0.002), non-enhancement pattern (P < 0.001), apparent diffusion coefficient value (P < 0.001), main pancreatic duct dilation (P < 0.001) and pancreatic atrophy (P = 0.032) and extrapancreatic tumor spread (P = 0.001), CNRs during arterial, portal and delay phase (P = 0.005, 0.047, and 0.045, respectively), and histological classification (P = 0.006). At multivariate analysis, non-enhancement pattern (P = 0.019; odds ratio, 6.652; 95% CI 1.369, 32.321) and main pancreatic duct dilation (P = 0.018; odds ratio, 6.745; 95% CI 1.379, 32.991) were independent risk factors for predicting the LNM of pNETs. CONCLUSION The non-enhancement characteristic and main pancreatic duct dilation appear to be linked with LNM in pNETs. These radiological predictors can be easily obtained preoperatively, and may help to avoid missing pNETs with a high risk of LNM.
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Bowman AW, Bolan CW. MRI evaluation of pancreatic ductal adenocarcinoma: diagnosis, mimics, and staging. Abdom Radiol (NY) 2019; 44:936-949. [PMID: 29967986 DOI: 10.1007/s00261-018-1686-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The radiologist's role in the evaluation of pancreatic ductal adenocarcinoma remains critical in the management of this deadly disease. Imaging plays a vital role in the diagnosis and staging of pancreatic cancer. Although CT is more commonly used for staging pancreatic cancer, MR is increasingly playing an important role in this regard. In our institution, all pancreatic malignancies undergo staging with MRI. In this pictoral essay, we illustrate the MR imaging features of pancreatic ductal adenocarcinoma and its mimics, and we also discuss pearls and pitfalls in MR staging of pancreatic carcinoma.
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Affiliation(s)
- Andrew W Bowman
- Department of Radiology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
| | - Candice W Bolan
- Department of Radiology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA
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Siddiqui N, Vendrami CL, Chatterjee A, Miller FH. Advanced MR Imaging Techniques for Pancreas Imaging. Magn Reson Imaging Clin N Am 2019; 26:323-344. [PMID: 30376973 DOI: 10.1016/j.mric.2018.03.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Advances in MR imaging with optimization of hardware, software, and techniques have allowed for an increased role of MR in the identification and characterization of pancreatic disorders. Diffusion-weighted imaging improves the detection and staging of pancreatic neoplasms and aides in the evaluation of acute, chronic and autoimmune pancreatitis. The use of secretin-enhanced MR cholangiography improves the detection of morphologic ductal anomalies, and assists in the characterization of pancreatic cystic lesions and evaluation of acute and chronic pancreatitis. Emerging MR techniques such as MR perfusion, T1 mapping/relaxometry, and MR elastography show promise in further evaluating pancreatic diseases.
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Affiliation(s)
- Nasir Siddiqui
- Department of Radiology, DuPage Medical Group, 430 Warrenville Road, Lisle, IL 60532, USA
| | - Camila Lopes Vendrami
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street Suite 800, Chicago, IL 60611, USA
| | - Argha Chatterjee
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street Suite 800, Chicago, IL 60611, USA
| | - Frank H Miller
- Department of Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street Suite 800, Chicago, IL 60611, USA.
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Diagnostic Performance of Apparent Diffusion Coefficient for Prediction of Grading of Pancreatic Neuroendocrine Tumors: A Systematic Review and Meta-analysis. Pancreas 2019; 48:151-160. [PMID: 30640226 DOI: 10.1097/mpa.0000000000001212] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVES The aim of this study was to evaluate the diagnostic value of apparent diffusion coefficient (ADC) for the World Health Organization grade of pancreatic neuroendocrine tumors (pNETs). METHODS The MEDLINE, Google Scholar, PubMed, and Embase databases were searched to identify relevant original articles investigating the ADC value in predicting the grade of pNETs. The pooled sensitivity (SE), specificity (SP), positive likelihood ratio (PLR), and negative likelihood ratio (NLR) were calculated by using random effects models. Subgroup analysis was performed to discover heterogeneity effects. RESULTS Nine studies with 386 patients met our inclusion criteria. For identifying G1 from G2/3, the pooled SE, SP, PLR, NLR, and area under the curve of the summary receiver operating characteristic curve were 0.84 (95% confidence interval [95% CI], 0.73-0.91), 0.87 (95% CI, 0.72-0.94), 6.3 (95% CI, 2.7-14.6), 0.19 (95% CI, 0.10-0.34), and 0.91 (95% CI, 0.89-0.94), respectively. The summary estimates for ADC in distinguishing G3 from G1/2 were as follows: SE, 0.93 (95% CI, 0.66-0.99); SP, 0.92 (95% CI, 0.86-0.95); PLR, 11.1 (95% CI, 6.6-18.6); NLR, 0.08 (95% CI, 0.01-0.45); and area under the curve, 0.92 (95% CI, 0.85-0.96). CONCLUSIONS Diffusion-weighted imaging is a reliable tool for predicting the grade of pNETs, especially for G3. Moreover, the combination of 3.0-T device and higher b value can slightly help improve SE and SP.
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Abstract
RATIONALE Adenocarcinoma and neuroendocrine tumors are a very rare combination of double primary pancreas tumor. PATIENT CONCERNS A Whipple operation was initially performed on a 64-year-old man to remove an adenocarcinoma. Four years after the operation, surveillance- computed tomography revealed abnormal findings of the pancreas. Recurrent adenocarcinoma and neuroendocrine tumor involving different sites of the remnant pancreas were simultaneously detected and characterized on computed tomography and magnetic resonance imaging. DIAGNOSES The patient was diagnosed with recurrent adenocarcinoma and neuroendocrine tumor in the post-operative pancreas. INTERVENTIONS Radical pancreatosplenectomy was performed. The patient underwent subsequent chemotherapy and radiotherapy. OUTCOMES No tumor recurrence was found during the 5 years of follow-up visits. LESSONS The possibility of multiple primary tumors of different histological origin should be considered when multiple different pancreatic lesions are detected on images. Computed tomography (CT) and magnetic resonance imaging (MRI) play key roles in the management of multiple tumors in the pancreas.
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Affiliation(s)
- Hee Jeong Kim
- Department of Radiology, Dankook University Hospital, Chungnam, Cheonan-si
| | - Mi-hyun Park
- Department of Radiology, Dankook University Hospital, Chungnam, Cheonan-si
| | - Byungseok Shin
- Department of Radiology, Chungnam National University College of Medicine, Daejeon, South Korea
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova J. Functional imaging in pancreatic disease. RADIOLOGIA 2018. [DOI: 10.1016/j.rxeng.2018.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Donners R, Blackledge M, Tunariu N, Messiou C, Merkle EM, Koh DM. Quantitative Whole-Body Diffusion-Weighted MR Imaging. Magn Reson Imaging Clin N Am 2018; 26:479-494. [PMID: 30316462 DOI: 10.1016/j.mric.2018.06.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Whole-body diffusion-weighted MRI has emerged as a powerful diagnostic tool for disease detection and staging mainly used in systemic bone disease. The large field-of-view functional imaging technique highlights cellular tumor and suppresses normal tissue signal, allowing quantification of an estimate of total disease burden, summarized as the total diffusion volume (tDV), as well as global apparent diffusion coefficient (gADC) measurements. Both tDV and gADC have been shown to be repeatable quantitative parameters that indicate tumor heterogeneity and treatment effects, thus potential, noninvasive, imaging biomarkers informing on disease prognosis and therapy response.
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Affiliation(s)
- Ricardo Donners
- Department of Radiology, University Hospital Basel, Spitalstrasse 21, Basel 4031, Switzerland
| | - Matthew Blackledge
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK
| | - Nina Tunariu
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK
| | - Christina Messiou
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK
| | - Elmar M Merkle
- Department of Radiology, University Hospital Basel, Spitalstrasse 21, Basel 4031, Switzerland
| | - Dow-Mu Koh
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, 15 Cotswold Road, Sutton SM2 5NG, UK; Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton SM2 5PT, UK.
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Pancreas Ductal Adenocarcinoma and its Mimics: Review of Cross-sectional Imaging Findings for Differential Diagnosis. J Belg Soc Radiol 2018; 102:71. [PMID: 30386851 PMCID: PMC6208287 DOI: 10.5334/jbsr.1644] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Ductal adenocarcinoma is the most common pancreatic neoplasm. A variety of pancreatic lesions mimic pancreas ductal adenocarcinoma (PDAC), such as high-grade neuroendocrine tumors, small solid pseudopapillary tumors, metastases, focal autoimmune pancreatitis, and groove pancreatitis. These occasionally look similar in images, but they have differential diagnosis points. Familiarity with the imaging features of PDAC and its mimics is paramount for correct diagnosis and management of patients. In this essay, we describe imaging findings of PDAC and its mimics for differential diagnosis.
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Ciaravino V, De Robertis R, Tinazzi Martini P, Cardobi N, Cingarlini S, Amodio A, Landoni L, Capelli P, D'Onofrio M. Imaging presentation of pancreatic neuroendocrine neoplasms. Insights Imaging 2018; 9:943-953. [PMID: 30302635 PMCID: PMC6269331 DOI: 10.1007/s13244-018-0658-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 08/07/2018] [Accepted: 08/28/2018] [Indexed: 02/07/2023] Open
Abstract
Abstract Pancreatic neuroendocrine neoplasms (P-NENs) are the second most common solid pancreatic neoplasms. P-NENs have a wide range of imaging features presentations and they can be detected with typical and atypical imaging presentations. Typical and atypical appearances can be explained by pathologic correlations. P-NENs are generally hypervascular lesions, showing a typical enhancement behavior after contrast media injection during imaging methods, but they could also have different imaging features, creating some difficulty in differential diagnosis. For this reason, radiologists should be aware of different imaging presentations of these neoplasms. Radiological evaluation has a critical role in P-NENs identification, characterization, and staging of these neoplasms, especially in those cases in which surgery is the treatment of choice. The present paper shows, indicating the underlying pathologic correlations, typical and atypical presentations of NENs. Key Points • P-NENs have a wide range of imaging features presentations, typical and atypical. • Pathology could help in better understanding the typical P-NENs appearance at imaging. • P-NENs are generally hypervascular lesions. • Radiological evaluation has a critical role in P-NENs identification and management. • Radiologists should know every type of different imaging presentation of P-NENs to better diagnose these kinds of lesions.
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Affiliation(s)
- Valentina Ciaravino
- Department of Radiology, University Hospital G.B. Rossi, University of Verona, Verona, Italy. .,Department of Radiology, Hospital Morgagni Pierantoni, Via Carlo Forlanini 4, 47121, Forlì, FC, Italy.
| | - Riccardo De Robertis
- Department of Radiology, Hospital "Casa di Cura Dott. Pederzoli", Peschiera del Garda, Verona, Italy
| | - Paolo Tinazzi Martini
- Department of Radiology, Hospital "Casa di Cura Dott. Pederzoli", Peschiera del Garda, Verona, Italy
| | - Nicolò Cardobi
- Department of Radiology, Hospital "Casa di Cura Dott. Pederzoli", Peschiera del Garda, Verona, Italy
| | - Sara Cingarlini
- Department of Oncology, University Hospital G.B. Rossi, University of Verona, Verona, Italy
| | - Antonio Amodio
- Department of Gastroenterology, University Hospital G.B. Rossi, University of Verona, Verona, Italy
| | - Luca Landoni
- Department of Surgery, University Hospital G.B. Rossi, University of Verona, Verona, Italy
| | - Paola Capelli
- Department of Pathology, University Hospital G.B. Rossi, University of Verona, Verona, Italy
| | - Mirko D'Onofrio
- Department of Radiology, University Hospital G.B. Rossi, University of Verona, Verona, Italy
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Baleato-González S, García-Figueiras R, Luna A, Domínguez-Robla M, Vilanova JC. Functional imaging in pancreatic disease. RADIOLOGIA 2018; 60:451-464. [PMID: 30236460 DOI: 10.1016/j.rx.2018.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 07/19/2018] [Accepted: 07/23/2018] [Indexed: 12/12/2022]
Abstract
In addition to the classical morphological evaluation of pancreatic disease, the constant technological advances in imaging techniques based fundamentally on computed tomography and magnetic resonance imaging have enabled the quantitative functional and molecular evaluation of this organ. In many cases, this imaging-based information results in substantial changes to patient management and can be a fundamental tool for the development of biomarkers. The aim of this article is to review the role of emerging functional and molecular techniques based on computed tomography and magnetic resonance imaging in the evaluation of pancreatic disease.
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Affiliation(s)
- S Baleato-González
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España.
| | - R García-Figueiras
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - A Luna
- Grupo Health Time. Director - Advanced Medical Imaging, Sercosa (Servicio de Radiología Computerizada), Clínica Las Nieves, Jaén, España
| | - M Domínguez-Robla
- Departamento de Radiología, Complexo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, A Coruña, España
| | - J C Vilanova
- Departamento de Radiología, Clínica Girona-Hospital Santa Caterina, Girona, España
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Shi Z, Li X, You R, Li Y, Zheng X, Ramen K, Loosa VS, Cao D, Chen Q. Homogenously isoattenuating insulinoma on biphasic contrast-enhanced computed tomography: Little benefits of diffusion-weighted imaging for lesion detection. Oncol Lett 2018; 16:3117-3125. [PMID: 30127903 PMCID: PMC6096136 DOI: 10.3892/ol.2018.9037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 05/30/2018] [Indexed: 12/15/2022] Open
Abstract
The aim of the present study was to evaluate the diagnostic benefit of diffusion-weighted imaging (DWI) in the detection of homogenous isoattenuating insulinoma on biphasic contrast-enhanced computed tomography (CT) preoperatively and to determine which magnetic resonance (MR) sequences exhibited the best diagnostic performance. A total of 44 consecutive patients who underwent biphasic contrast-enhanced CT and conventional MR imaging (MRI), including DWI on a 3T scanner, were identified retrospectively. Apparent diffusion coefficient (ADC) values of insulinomas and the surrounding pancreatic parenchyma were compared using a Wilcoxon signed-rank test. Receiver operating characteristic analysis was used to compare the diagnostic accuracy of four randomized image sets [T2-weighted image (WI), axial T1WI, DWI and T2WI + DWI] for each reader. Axial T1-weighted MRI exhibited the highest relative sensitivity for each reader; DWI alone exhibited the lowest relative sensitivity and the lower inter-reader agreement. There was no significant difference in lesion detection between T2WI and T2WI + DWI image sets for each reader. The ADC values of the insulinoma were significantly lower compared with those of the surrounding parenchyma. In conclusion, DWI does not benefit the detection of homogenous isoattenuating insulinoma. Axial T1WI is the optimal pulse sequence. Quantitative assessment of the tumor ADC values may be a useful tool to characterize identified pancreatic neoplasms.
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Affiliation(s)
- Zhenshan Shi
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Xiumei Li
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Ruixiong You
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Yueming Li
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Xianying Zheng
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Kamisha Ramen
- Department of Radiology, Fujian Medical University, Fuzhou, Fujian 350001, P.R. China
| | - Vikash Sahadeo Loosa
- Department of Radiology, Fujian Medical University, Fuzhou, Fujian 350001, P.R. China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
| | - Qunlin Chen
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, P.R. China
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Zhang Y, Zhu X, Liu D, Song J, Zhang H, Lu J. Pre-treatment DWI as a predictor of overall survival in locally advanced pancreatic cancer treated with Cyberknife radiotherapy and sequential S-1 therapy. Cancer Imaging 2018; 18:6. [PMID: 29471875 PMCID: PMC5824450 DOI: 10.1186/s40644-018-0139-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 02/05/2018] [Indexed: 11/30/2022] Open
Abstract
Background To identify the value of the pre-treatment apparent diffusion coefficient (ADC) derived from diffusion weighted imaging (DWI) in predicting the overall survival (OS) for locally advanced pancreatic cancer (LAPC) treated with Cyberknife followed by sequential S-1 chemotherapy. Methods Patients with UICC-T4 LAPC who underwent DWI scan (3.0 Tesla) using two b-values (0, 600 s/mm2) in our center between 2015 and 2017 were enrolled. Mean ADCs of the region of interest (ROI) drawn manually on DWI imaging were measured by two independent radiologists at an interval of 1 month. The association between prognostic factors and patient survival was determined using univariate and multivariate analyses. Cox proportional hazard model was used for identification of independent prognostic factors of OS. Results A total of 41 patients (28 males and 13 females) were included, with a median age of 64 years, with 5 patients (3 males and 2 females) lost. The median OS was 11.7 months (range 2.8–23.3) among all 41 patients. The 1-year OS was 46% (95% CI 30%–62%). Univariate and multivariate analyses indicated that pre-treatment ADC value (HR 10.652, P = 0.0093), age (HR 0.952, P = 0.015), CA19–9 (HR 1.001, P = 0.0022) and administration of S-1 (HR 0.128, P = 0.0002) were independent predicting factors of OS. Conclusion The mean ADC value of the primary tumor on pre-treatment DWI imaging was an independent predictor of OS in patients with LAPC receiving Cyberknife followed by sequential S-1.
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Affiliation(s)
- Yu Zhang
- Department of Radiology, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Xiaofei Zhu
- Department of Oncology Radiation, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Denghui Liu
- Department of Orthopedics, No. 113 Hospital of People's Liberation Army, East Zhongshan Road 377, Jiangdong District, Ningbo, 315000, People's Republic of China
| | - Jiaqi Song
- Department of health statistics, Second Military Medical University, Xiangyin Road 800, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Huojun Zhang
- Department of Oncology Radiation, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital Affiliated to the Second Military Medical University, Changhai Road 168, Yangpu district, Shanghai, 200433, People's Republic of China.
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50
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Kulali F, Semiz-Oysu A, Demir M, Segmen-Yilmaz M, Bukte Y. Role of diffusion-weighted MR imaging in predicting the grade of nonfunctional pancreatic neuroendocrine tumors. Diagn Interv Imaging 2017; 99:301-309. [PMID: 29258825 DOI: 10.1016/j.diii.2017.10.012] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 10/14/2017] [Accepted: 10/18/2017] [Indexed: 01/19/2023]
Abstract
PURPOSE The purpose of this study was to describe the magnetic resonance imaging (MRI) findings including diffusion-weighted MRI of nonfunctional pancreatic neuroendocrine tumors (PanNETs) and their hepatic metastases, and investigate the relationships between MRI features and histopathological findings for each grade of PanNETs. MATERIALS AND METHODS A total of 30 patients were included. There were 14 men and 16 women with a mean age of 61.60±11 (SD) years (range: 31-81years). PanNET lesions were analyzed qualitatively (signal intensities, contrast enhancement, lesion margins, presence of metastasis and characteristics of metastases) and quantitatively (signal intensity ratios, contrast enhancement indices and normalized apparent diffusion coefficient [ADC]). The relationships between MRI findings and histopathological findings were evaluated. RESULTS Among 30 nonfunctional PanNETs, 11 were high-grade tumors, 10 were intermediate and 9 were low-grade tumors. All high grade PanNETs showed low to intermediate signal on T2-weighted images and ill-defined borders. All intermediate grade PanNETs had intermediate and 6 low grade PanNETs have high signal on T2-weighted images. Patients with hepatic metastases from high grade PanNETs had cystic component in 8/10 (80%) and wash-out in 7/10 (70%) whereas intermediate grade PanNETs had none (P<0.05). The normalized ADC values of high grade PanNETs was lower than those of intermediate and low grade PanNETs (P<0.05). CONCLUSION The presence of cystic component or contrast wash-out in hepatic metastases correlates with high grade PanNETs. The pre-operative MRI combined with DWI has an important role in grading and surgical planning of PanNETs.
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Affiliation(s)
- F Kulali
- Radiology Department, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz Cad. No:1, Saglik Bilimleri Universitesi Umraniye Egitim ve Arastirma Hastanesi, Radyoloji Klinigi, Umraniye, 34764 Istanbul, Turkey.
| | - A Semiz-Oysu
- Radiology Department, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz Cad. No:1, Saglik Bilimleri Universitesi Umraniye Egitim ve Arastirma Hastanesi, Radyoloji Klinigi, Umraniye, 34764 Istanbul, Turkey
| | - M Demir
- Radiology Department, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz Cad. No:1, Saglik Bilimleri Universitesi Umraniye Egitim ve Arastirma Hastanesi, Radyoloji Klinigi, Umraniye, 34764 Istanbul, Turkey
| | - M Segmen-Yilmaz
- Pathology Department, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz Cad. No:1, Saglik Bilimleri Universitesi Umraniye Egitim ve Arastirma Hastanesi, Radyoloji Klinigi, Umraniye, 34764 Istanbul, Turkey
| | - Y Bukte
- Radiology Department, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz Cad. No:1, Saglik Bilimleri Universitesi Umraniye Egitim ve Arastirma Hastanesi, Radyoloji Klinigi, Umraniye, 34764 Istanbul, Turkey
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