For: | Chen XH, Ren K, Liang P, Chai YR, Chen KS, Gao JB. Spectral computed tomography in advanced gastric cancer: Can iodine concentration non-invasively assess angiogenesis? World J Gastroenterol 2017; 23(9): 1666-1675 [PMID: 28321168 DOI: 10.3748/wjg.v23.i9.1666] |
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URL: | https://www.wjgnet.com/1007-9327/full/v23/i9/1666.htm |
Number | Citing Articles |
1 |
Wan Yang, Hua Shi, Ming Li, Xiangmei Qiao, Lin Li, Song Liu. Dual-energy CT for predicting serosal invasion in gastric cancer and subtype analysis. Abdominal Radiology 2024; doi: 10.1007/s00261-024-04735-5
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2 |
Shunli Liu, Hua Shi, Changfeng Ji, Wenxian Guan, Ling Chen, Yingshi Sun, Lei Tang, Yue Guan, Weifeng Li, Yun Ge, Jian He, Song Liu, Zhengyang Zhou. CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers. Scientific Reports 2018; 8(1) doi: 10.1038/s41598-018-30352-6
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3 |
Rui Wang, Huan Liu, Pan Liang, Huiping Zhao, Liming Li, Jianbo Gao. Radiomics analysis of CT imaging for differentiating gastric neuroendocrine carcinomas from gastric adenocarcinomas. European Journal of Radiology 2021; 138: 109662 doi: 10.1016/j.ejrad.2021.109662
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4 |
Siwen Wang, Di Dong, Hailin Li, Caizhen Feng, Yi Wang, Jie Tian. Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021; : 3501 doi: 10.1109/EMBC46164.2021.9631004
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5 |
Yuntai Cao, Jing Zhang, Haihua Bao, Guojin Zhang, Xiaohong Yan, Zhan Wang, Jialiang Ren, Yanjun Chai, Zhiyong Zhao, Junlin Zhou. Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal Cancer. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.689176
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6 |
Jing Li, Xuejun Chen, Shuning Xu, Yi Wang, Fei Ma, Yue Wu, Jinrong Qu. Predicting pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer: The establishment of a spectral CT-based nomogram from prospective datasets. European Journal of Surgical Oncology 2024; 50(4): 108020 doi: 10.1016/j.ejso.2024.108020
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7 |
Yingdong Chen, Qianwen Huang, Hua Zhong, Anqi Li, Zeyang Lin, Xiaoxi Guo. Correlations between iodine uptake, invasive CT features and pleural invasion in adenocarcinomas with pleural contact. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-43504-0
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8 |
Jingjun Wu, Qinhe Zhang, Ying Zhao, Yijun Liu, Anliang Chen, Xin Li, Tingfan Wu, Jianying Li, Yan Guo, Ailian Liu. Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer. Frontiers in Oncology 2019; 9 doi: 10.3389/fonc.2019.01250
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9 |
Tiezhu Ren, Wenjuan Zhang, Shenglin Li, Liangna Deng, Caiqiang Xue, Zhengxiao Li, Suwei Liu, Jiachen Sun, Junlin Zhou. Combination of clinical and spectral-CT parameters for predicting lymphovascular and perineural invasion in gastric cancer. Diagnostic and Interventional Imaging 2022; 103(12): 584 doi: 10.1016/j.diii.2022.07.004
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10 |
Min Li, Hongtao Qin, Xianbo Yu, Junyi Sun, Xiaosheng Xu, Yang You, Chongfei Ma, Li Yang. Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map. Insights into Imaging 2023; 14(1) doi: 10.1186/s13244-023-01477-8
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11 |
J. Deng, W. Zhang, M. Xu, X. Liu, T. Ren, S. Li, Q. Sun, C. Xue, J. Zhou. Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer. Clinical Radiology 2024; 79(1): 51 doi: 10.1016/j.crad.2023.08.023
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12 |
Fengfeng Liu, Qun Xie, Qi Wang, Xuejiao Li. Application of deep learning-based CT texture analysis in TNM staging of gastric cancer. Journal of Radiation Research and Applied Sciences 2023; 16(3): 100635 doi: 10.1016/j.jrras.2023.100635
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13 |
Huanlei Zhang, Ying Zou, Fengyue Tian, Wenfei Li, Xiaodong Ji, Yu Guo, Qing Li, Shuangyan Sun, Fang Sun, Lianfang Shen, Shuang Xia. Dual-energy CT may predict post-operative recurrence in early-stage glottic laryngeal cancer: a novel nomogram and risk stratification system. European Radiology 2022; 32(3): 1921 doi: 10.1007/s00330-021-08265-2
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14 |
Runfan Chen, Jiangao Xie, Jianmin Chen, Xiaobo Li, Qingliang Lin, Qizhen Xu, Yanyan Chen, Lili Wang, Rong Zheng, Benhua Xu. Analysis of the Parotid Glands on an Energy Spectrum CT Iodine Map to Evaluate Irradiation-Induced Acute Xerostomia in Patients With Nasopharyngeal Carcinoma. Technology in Cancer Research & Treatment 2024; 23 doi: 10.1177/15330338241256814
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15 |
Wenjun Hu, Ying Zhao, Hongying Ji, Anliang Chen, Qihao Xu, Yijun Liu, Ziming Zhang, Ailian Liu. Nomogram based on dual-energy CT-derived extracellular volume fraction for the prediction of microsatellite instability status in gastric cancer. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1370031
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16 |
Ryosuke Taiji, Hideyuki Nishiofuku, Toshihiro Tanaka, Kiyoyuki Minamiguchi, Yasushi Fukuoka, Natsuhiko Saito, Hidehiko Taguchi, Takeshi Matsumoto, Nagaaki Marugami, Toshiko Hirai, Kimihiko Kichikawa. Useful Parameters in Dynamic Contrast-enhanced Ultrasonography for Identifying Early Response to Chemotherapy in a Rat Liver Tumor Model. Journal of Clinical Imaging Science 2021; 11: 15 doi: 10.25259/JCIS_6_2020
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17 |
Dawei Wang, Zeyu Shang, Rong Chen, Yue Yang, Yaying Su, Peng Jia, Yanfang Liu, Fei Yang. Texture analysis based on CT for predicting the differentiation of esophageal squamous cancer: An observational study. Medicine 2024; 103(38): e39683 doi: 10.1097/MD.0000000000039683
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18 |
Shunli Liu, Chuanyu Zhang, Ruiqing Liu, Shaoke Li, Fenglei Xu, Xuejun Liu, Zhiming Li, Yabin Hu, Yaqiong Ge, Jiao Chen, Zaixian Zhang, Lin Gu. CT Texture Analysis for Preoperative Identification of Lymphoma from Other Types of Primary Small Bowel Malignancies. BioMed Research International 2021; 2021(1) doi: 10.1155/2021/5519144
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19 |
Xiaomin Ge, Jingping Yu, Zhongling Wang, Yiqun Xu, Changjie Pan, Lu Jiang, Yanling Yang, Kai Yuan, Wei Liu. Comparative study of dual energy CT iodine imaging and standardized concentrations before and after chemoradiotherapy for esophageal cancer. BMC Cancer 2018; 18(1) doi: 10.1186/s12885-018-5058-2
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20 |
Wei-bin Chen, Qian-qian Shi, Ze-mao Li, Zhong-yao Li, Li-qing Kang. Diagnostic value of spiral CT energy spectrum imaging in lymph node metastasis of colorectal cancer. International Journal of Colorectal Disease 2022; 37(9): 2021 doi: 10.1007/s00384-022-04238-z
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21 |
Shunli Liu, Song Liu, Changfeng Ji, Huanhuan Zheng, Xia Pan, Yujuan Zhang, Wenxian Guan, Ling Chen, Yue Guan, Weifeng Li, Jian He, Yun Ge, Zhengyang Zhou. Application of CT texture analysis in predicting histopathological characteristics of gastric cancers. European Radiology 2017; 27(12): 4951 doi: 10.1007/s00330-017-4881-1
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22 |
Linyu Wu, Guoquan Cao, Liang Zhao, Kun Tang, Jie Lin, Shouliang Miao, Tingting Lin, Jieke Sun, Xiangwu Zheng. Spectral CT Analysis of Solitary Pulmonary Nodules for Differentiating Malignancy from Benignancy: The Value of Iodine Concentration Spatial Distribution Difference. BioMed Research International 2018; 2018: 1 doi: 10.1155/2018/4830659
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23 |
Liu-hong Zhu, Fu-nan Wang, Yan-wei Wang, Qi-hua Cheng, Jian-jun Zhou. Differentiation Between Solitary Pulmonary Inflammatory Lesions and Solitary Cancer Using Gemstone Spectral Imaging. Journal of Computer Assisted Tomography 2022; 46(2): 300 doi: 10.1097/RCT.0000000000001268
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24 |
Haiting Yang, Jianqing Sun, Hong Liu, Xianwang Liu, Yingxia She, Wenjuan Zhang, Junlin Zhou. Clinico-radiological nomogram for preoperatively predicting post-resection hepatic metastasis in patients with gastric adenocarcinoma. The British Journal of Radiology 2022; 95(1140) doi: 10.1259/bjr.20220488
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25 |
Jing Li, Yi Wang, Rui Wang, Jian-bo Gao, Jin-rong Qu. Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validation. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.942425
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26 |
Yingxia She, Xianwang Liu, Hong Liu, Haiting Yang, Wenjuan Zhang, Yinping Han, Junlin Zhou. Combination of clinical and spectral-CT iodine concentration for predicting liver metastasis in gastric cancer: a preliminary study. Abdominal Radiology 2024; 49(10): 3438 doi: 10.1007/s00261-024-04346-0
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27 |
Jing Li, Shuning Xu, Yi Wang, Mengjie Fang, Fei Ma, Chunmiao Xu, Hailiang Li. Spectral CT-based nomogram for preoperative prediction of perineural invasion in locally advanced gastric cancer: a prospective study. European Radiology 2023; 33(7): 5172 doi: 10.1007/s00330-023-09464-9
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28 |
Yiyang Liu, Mengchen Yuan, Zihao Zhao, Shuai Zhao, Xuejun Chen, Yang Fu, Mengwei Shi, Diansen Chen, Zongbin Hou, Yongqiang Zhang, Juan Du, Yinshi Zheng, Luhao Liu, Yiming Li, Beijun Gao, Qingyu Ji, Jing Li, Jianbo Gao. A quantitative model using multi-parameters in dual-energy CT to preoperatively predict serosal invasion in locally advanced gastric cancer. Insights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01844-z
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29 |
Rui-Jia Sun, Meng-Jie Fang, Lei Tang, Xiao-Ting Li, Qiao-Yuan Lu, Di Dong, Jie Tian, Ying-Shi Sun. CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer. European Journal of Radiology 2020; 132: 109277 doi: 10.1016/j.ejrad.2020.109277
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30 |
Tingting Nie, Dan Liu, Shuangquan Ai, Yaoyao He, Miao Yang, Jun Chen, Zilong Yuan, Yulin Liu. A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer. Japanese Journal of Radiology 2023; 41(4): 401 doi: 10.1007/s11604-022-01360-4
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31 |
Yong Chen, Wenqi Xi, Weiwu Yao, Lingyun Wang, Zhihan Xu, Michael Wels, Fei Yuan, Chao Yan, Huan Zhang. Dual-Energy Computed Tomography-Based Radiomics to Predict Peritoneal Metastasis in Gastric Cancer. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.659981
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32 |
Jack Junchi Xu, Mikkel Taudorf, Peter Sommer Ulriksen, Michael Patrick Achiam, Timothy Andrew Resch, Michael Bachmann Nielsen, Lars Birger Lönn, Kristoffer Lindskov Hansen. Gastrointestinal Applications of Iodine Quantification Using Dual-Energy CT: A Systematic Review. Diagnostics 2020; 10(10): 814 doi: 10.3390/diagnostics10100814
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33 |
Satomi Kawamoto. Therapy Response Imaging in Oncology. Medical Radiology 2020; : 99 doi: 10.1007/978-3-030-31171-1_7
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34 |
Longbo Zheng, Xunying Zhang, Jilin Hu, Yuan Gao, Xianxiang Zhang, Maoshen Zhang, Shuai Li, Xiaoming Zhou, Tianye Niu, Yun Lu, Dongsheng Wang. Establishment and Applicability of a Diagnostic System for Advanced Gastric Cancer T Staging Based on a Faster Region-Based Convolutional Neural Network. Frontiers in Oncology 2020; 10 doi: 10.3389/fonc.2020.01238
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35 |
Liguo Zhao, Lianghong Hu, Zhangxian Li, Fenyan Deng, M Pallikonda Rajasekaran. Plan‐Do‐Check‐Action Circulation Combined with Accelerated Rehabilitation Nursing under Computed Tomography in Prevention and Control of Hospital Infection in Elderly Patients Undergoing Elective Orthopedic Surgery. Contrast Media & Molecular Imaging 2022; 2022(1) doi: 10.1155/2022/4574730
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36 |
Jing Li, Shuning Xu, Yi Wang, Fei Ma, Xuejun Chen, Jinrong Qu. Spectral CT vs. diffusion-weighted imaging for the quantitative prediction of pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer. European Radiology 2024; 34(9): 6193 doi: 10.1007/s00330-024-10642-6
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37 |
Rui Li, Jing Li, Xiaopeng Wang, Pan Liang, Jianbo Gao. Detection of gastric cancer and its histological type based on iodine concentration in spectral CT. Cancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0176-2
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38 |
Alexey Surov, Raihanatou Diallo-Danebrock, Amin Radi, Jan Robert Kröger, Julius Henning Niehoff, Arwed Elias Michael, Berthold Gerdes, Saleem Elhabash, Andreas Wienke, Jan Borggrefe. Photon Counting Computed Tomography in Rectal Cancer: Associations Between Iodine Concentration, Histopathology and Treatment Response: A Pilot Study.. Academic Radiology 2024; 31(9): 3620 doi: 10.1016/j.acra.2024.02.006
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39 |
Shuting Han, Renjun Huang, Feirong Yao, Ziwei Lu, Jingfen Zhu, Hui Wang, Yonggang Li. Pre-treatment spectral CT combined with CT perfusion can predict hemorrhagic transformation after thrombolysis in patients with acute ischemic stroke. European Journal of Radiology 2022; 156: 110543 doi: 10.1016/j.ejrad.2022.110543
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40 |
Jing Li, Mengjie Fang, Rui Wang, Di Dong, Jie Tian, Pan Liang, Jie Liu, Jianbo Gao. Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer. European Radiology 2018; 28(12): 5241 doi: 10.1007/s00330-018-5483-2
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41 |
Q. Li, X. Li, X.-Y. Li, X.-Q. He, Z.-G. Chu, T.-Y. Luo. Histological subtypes of solid-dominant invasive lung adenocarcinoma: differentiation using dual-energy spectral CT. Clinical Radiology 2021; 76(1): 77.e1 doi: 10.1016/j.crad.2020.08.034
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42 |
Zena Alizzi, Andrew Gogbashian, Emmanouil Karteris, Marcia Hall. Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study. Cancer Imaging 2023; 23(1) doi: 10.1186/s40644-023-00579-2
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43 |
Qi Li, Xian Li, Xing-You Li, Ji-Wen Huo, Fa-Jin Lv, Tian-You Luo. Spectral CT in Lung Cancer: Usefulness of Iodine Concentration for Evaluation of Tumor Angiogenesis and Prognosis. American Journal of Roentgenology 2020; 215(3): 595 doi: 10.2214/AJR.19.22688
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44 |
Cen Shi, Jiulong Yan, Yixing Yu, Chunhong Hu. Radiomics Analysis to Predict Lymphovascular Invasion of Gastric Cancer Based on Iodine-Based Material Decomposition Images and Virtual Monoenergetic Images. Journal of Computer Assisted Tomography 2024; 48(2): 175 doi: 10.1097/RCT.0000000000001563
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45 |
Wenzheng Lu, Xiaoying Tan, Yanqi Zhong, Peng Wang, Yuxi Ge, Heng Zhang, Shudong Hu. Spectral CT in the evaluation of perineural invasion status in rectal cancer. Japanese Journal of Radiology 2024; 42(9): 1012 doi: 10.1007/s11604-024-01575-7
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46 |
Juan Zhang, Chao Su, Yuyang Zhang, Rongji Gao, Xiaomei Lu, Jing Liang, Haiwei Liu, Song Tian, Yitao Zhang, Zhaoxiang Ye. Spectral CT-based nomogram for preoperative prediction of Lauren classification in locally advanced gastric cancer: a prospective study. European Radiology 2024; doi: 10.1007/s00330-024-11163-y
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47 |
S. Liu, H. Shi, C. Ji, H. Zheng, X. Pan, W. Guan, L. Chen, Y. Sun, L. Tang, Y. Guan, W. Li, Y. Ge, J. He, S. Liu, Z. Zhou. Preoperative CT texture analysis of gastric cancer: correlations with postoperative TNM staging. Clinical Radiology 2018; 73(8): 756.e1 doi: 10.1016/j.crad.2018.03.005
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48 |
Dongbo Lyu, Pan Liang, Chencui Huang, Xingzhi Chen, Ming Cheng, Bingbing Zhu, Mengru Liu, Songwei Yue, Jianbo Gao. Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1167602
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49 |
weibin Chen, qianqian Shi, zemao Li, zhongyao Li, liqing Kang. Diagnostic Value of Spiral CT Energy Spectrum Imaging in Lymph Nodes Metastasis Around Colorectal Cancer. SSRN Electronic Journal 2022; doi: 10.2139/ssrn.4144533
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50 |
Wentao Dong, Situ Xiong, Pinggui Lei, Xiaolian Wang, Hao Liu, Yangchun Liu, Huachun Zou, Bing Fan, Yingying Qiu. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.944005
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51 |
Qinxia Song, Xiangfa Wang, Juan Zhu, Hengfeng Shi. Diagnostic value of dual-source, dual-energy computed tomography combined with the neutrophil-lymphocyte ratio for discriminating gastric signet ring cell from mixed signet ring cell and non-signet ring cell carcinomas. Abdominal Radiology 2024; 49(9): 2996 doi: 10.1007/s00261-024-04286-9
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52 |
Xu Li, Qingwei Liu, Beini Hu, Jingxu Xu, Chencui Huang, Fang Liu. A computed tomography-based clinical-radiomics model for prediction of lymph node metastasis in esophageal carcinoma. Journal of Cancer Research and Therapeutics 2021; 17(7): 1665 doi: 10.4103/jcrt.jcrt_1755_21
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53 |
Zhao-Yong Xie, Rui-Mei Chai, Guo-Cheng Ding, Yi Liu, Ke Ren. T and N Staging of Gastric Cancer Using Dual-Source Computed Tomography. Gastroenterology Research and Practice 2018; 2018: 1 doi: 10.1155/2018/5015202
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54 |
Ningbin Luo, Wenzhu Li, Jisheng Xie, Danhui Fu, Lidong Liu, Xiangyang Huang, Danke Su, Guanqiao Jin. Preoperative normalized iodine concentration derived from spectral CT is correlated with early recurrence of hepatocellular carcinoma after curative resection. European Radiology 2021; 31(4): 1872 doi: 10.1007/s00330-020-07330-6
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55 |
Cen Shi, Yixing Yu, Jiulong Yan, Chunhong Hu. The added value of radiomics from dual-energy spectral CT derived iodine-based material decomposition images in predicting histological grade of gastric cancer. BMC Medical Imaging 2022; 22(1) doi: 10.1186/s12880-022-00899-y
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56 |
Huiping Zhao, Weiran Li, Wenpeng Huang, Yujiao Yang, Wei Shen, Pan Liang, Jianbo Gao. Dual-Energy CT–Based Nomogram for Decoding HER2 Status in Patients With Gastric Cancer. American Journal of Roentgenology 2021; 216(6): 1539 doi: 10.2214/AJR.20.23528
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57 |
Li-ming Li, Lei-yu Feng, Xiao-hua Chen, Pan Liang, Jing Li, Jian-bo Gao. Gastric heterotopic pancreas and stromal tumors smaller than 3 cm in diameter: clinical and computed tomography findings. Cancer Imaging 2018; 18(1) doi: 10.1186/s40644-018-0161-9
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58 |
Hongjian Li, Qianni Zhu, Linjiang Liu, Haijun Zou, Dayong Gu, Cheng Wu, Weihua Li. Preliminary differentiation of benign and malignant gastric wall thickening using dual-layer spectral-detector CT. Acta Radiologica 2024; 65(8): 879 doi: 10.1177/02841851241260873
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