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For: Cao L, Chen J, Duan T, Wang M, Jiang H, Wei Y, Xia C, Zhou X, Yan X, Song B. Diffusion kurtosis imaging (DKI) of hepatocellular carcinoma: correlation with microvascular invasion and histologic grade. Quant Imaging Med Surg 2019;9:590-602. [PMID: 31143650 DOI: 10.21037/qims.2019.02.14] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]
Number Citing Articles
1 Chen W, Wei Q, Huang W, Chen J, Hu S, Lv X, Mao L, Liu B, Zhou W, Liu X. Combining diffusion kurtosis imaging and clinical data for predicting the extramural venous invasion of rectal adenocarcinoma. European Journal of Radiology 2022;148:110155. [DOI: 10.1016/j.ejrad.2022.110155] [Reference Citation Analysis]
2 Jiang L, Chen J, Huang H, Wu J, Zhang J, Lan X, Liu D, Zhang J. Comparison of the Differential Diagnostic Performance of Intravoxel Incoherent Motion Imaging and Diffusion Kurtosis Imaging in Malignant and Benign Thyroid Nodules. Front Oncol 2022;12:895972. [DOI: 10.3389/fonc.2022.895972] [Reference Citation Analysis]
3 Huang J, Tian W, Zhang L, Huang Q, Lin S, Ding Y, Liang W, Zheng S. Preoperative Prediction Power of Imaging Methods for Microvascular Invasion in Hepatocellular Carcinoma: A Systemic Review and Meta-Analysis. Front Oncol 2020;10:887. [PMID: 32676450 DOI: 10.3389/fonc.2020.00887] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
4 Ye Z, Cao L, Wei Y, Chen J, Zhang Z, Yao S, Duan T, Song B. Preoperative prediction of hepatocellular carcinoma with highly aggressive characteristics using quantitative parameters derived from hepatobiliary phase MR images. Ann Transl Med 2020;8:85. [PMID: 32175378 DOI: 10.21037/atm.2020.01.04] [Reference Citation Analysis]
5 Wáng YXJ, Wang X, Wu P, Wang Y, Chen W, Chen H, Li J. Topics on quantitative liver magnetic resonance imaging. Quant Imaging Med Surg 2019;9:1840-90. [PMID: 31867237 DOI: 10.21037/qims.2019.09.18] [Cited by in Crossref: 9] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
6 Peng Y, Tang H, Meng X, Shen Y, Hu D, Kamel I, Li Z. Histological grades of rectal cancer: whole-volume histogram analysis of apparent diffusion coefficient based on reduced field-of-view diffusion-weighted imaging. Quant Imaging Med Surg 2020;10:243-56. [PMID: 31956546 DOI: 10.21037/qims.2019.11.17] [Cited by in Crossref: 2] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
7 Wang GZ, Guo LF, Gao GH, Li Y, Wang XZ, Yuan ZG. Magnetic Resonance Diffusion Kurtosis Imaging versus Diffusion-Weighted Imaging in Evaluating the Pathological Grade of Hepatocellular Carcinoma. Cancer Manag Res 2020;12:5147-58. [PMID: 32636677 DOI: 10.2147/CMAR.S254371] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Tramontano L, Cavaliere C, Salvatore M, Brancato V. The Role of Non-Gaussian Models of Diffusion Weighted MRI in Hepatocellular Carcinoma: A Systematic Review. J Clin Med 2021;10:2641. [PMID: 34203995 DOI: 10.3390/jcm10122641] [Reference Citation Analysis]
9 Ueno A, Masugi Y, Yamazaki K, Kurebayashi Y, Tsujikawa H, Effendi K, Ojima H, Sakamoto M. Precision pathology analysis of the development and progression of hepatocellular carcinoma: Implication for precision diagnosis of hepatocellular carcinoma. Pathol Int 2020;70:140-54. [PMID: 31908112 DOI: 10.1111/pin.12895] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
10 Rajesh A, Chartier C, Asaad M, Butler CE. A Synopsis of Artificial Intelligence and its Applications in Surgery. Am Surg 2022;:31348221109450. [PMID: 35713389 DOI: 10.1177/00031348221109450] [Reference Citation Analysis]
11 Zhang T, Pandey G, Xu L, Chen W, Gu L, Wu Y, Chen X. The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Cancer Manag Res 2020;12:4097-105. [PMID: 32581583 DOI: 10.2147/CMAR.S245475] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Yao W, Zheng J, Han C, Lu P, Mao L, Liu J, Wang G, Zou S, Li L, Xu Y. Integration of quantitative diffusion kurtosis imaging and prostate specific antigen in differential diagnostic of prostate cancer. Medicine (Baltimore) 2021;100:e27144. [PMID: 34477170 DOI: 10.1097/MD.0000000000027144] [Reference Citation Analysis]
13 Li Z, Li X, Peng C, Dai W, Huang H, Li X, Xie C, Liang J. The Diagnostic Performance of Diffusion Kurtosis Imaging in the Characterization of Breast Tumors: A Meta-Analysis. Front Oncol 2020;10:575272. [PMID: 33194685 DOI: 10.3389/fonc.2020.575272] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Choi JM, Yu JS, Cho ES, Kim JH, Chung JJ. Texture Analysis of Hepatocellular Carcinoma on Magnetic Resonance Imaging: Assessment for Performance in Predicting Histopathologic Grade. J Comput Assist Tomogr 2020;44:901-10. [PMID: 32976263 DOI: 10.1097/RCT.0000000000001087] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Wang F, Yan CY, Wang CH, Yang Y, Zhang D. The Roles of Diffusion Kurtosis Imaging and Intravoxel Incoherent Motion Diffusion-Weighted Imaging Parameters in Preoperative Evaluation of Pathological Grades and Microvascular Invasion in Hepatocellular Carcinoma. Front Oncol 2022;12:884854. [PMID: 35646649 DOI: 10.3389/fonc.2022.884854] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Chen J, Guo Y, Guo Y, Jiang M, Zhang Y, Dai Y, Yao X. Preoperative assessment of microvascular invasion of hepatocellular carcinoma using non-Gaussian diffusion-weighted imaging with a fractional order calculus model: A pilot study. Magn Reson Imaging 2021:S0730-725X(21)00144-2. [PMID: 34506910 DOI: 10.1016/j.mri.2021.09.003] [Reference Citation Analysis]
17 Lu T, Wang Y, Guo A, Cui W, Chen Y, Wang S, Wang G. Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders. BMC Pregnancy Childbirth 2022;22:349. [PMID: 35459146 DOI: 10.1186/s12884-022-04644-9] [Reference Citation Analysis]
18 Wu B, Jia F, Li X, Zhang M, Han D, Jia Z. Amide Proton Transfer Imaging vs Diffusion Kurtosis Imaging for Predicting Histological Grade of Hepatocellular Carcinoma. J Hepatocell Carcinoma 2020;7:159-68. [PMID: 33117750 DOI: 10.2147/JHC.S272535] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
19 Granata V, Fusco R, Belli A, Danti G, Bicci E, Cutolo C, Petrillo A, Izzo F. Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when. Infect Agent Cancer 2022;17:25. [PMID: 35681237 DOI: 10.1186/s13027-022-00441-3] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Li T, Zhang Y, Fu X, Zhang X, Luo Y, Ni H. Microstructural white matter alterations in Alzheimer's disease and amnestic mild cognitive impairment and its diagnostic value based on diffusion kurtosis imaging: a tract-based spatial statistics study. Brain Imaging Behav 2021. [PMID: 33895943 DOI: 10.1007/s11682-021-00474-z] [Reference Citation Analysis]
21 Wang LL, Li JF, Lei JQ, Guo SL, Li JK, Xu YS, Dou Y. The value of the signal intensity of peritumoral tissue on Gd-EOB-DTPA dynamic enhanced MRI in assessment of microvascular invasion and pathological grade of hepatocellular carcinoma. Medicine (Baltimore) 2021;100:e25804. [PMID: 34011043 DOI: 10.1097/MD.0000000000025804] [Reference Citation Analysis]