Abdominal Radiology

Papers
(The TQCC of Abdominal Radiology is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Contrast enhanced ultrasound versus multiphasic contrast enhanced computed tomography in evaluation of gallbladder lesions57
Evaluation of early sonographic predictors of gangrenous cholecystitis: mucosal discontinuity and echogenic pericholecystic fat52
Added-value of ancillary imaging features for differentiating hepatocellular carcinoma from intrahepatic mass-forming cholangiocarcinoma on Gd-BOPTA-enhanced MRI in LI-RADS M39
Intra-patient comparison of 3D and 2D magnetic resonance elastography techniques for assessment of liver stiffness37
Caudate lobe amebic abscesses: percutaneous image-guided aspiration or drainage23
Second-opinion reads in prostate MRI: added value of subspecialty interpretation and review at multidisciplinary rounds21
Vesical Imaging-Reporting and Data System (VI-RADS) for assessment of response to systemic therapy for bladder cancer: preliminary report17
Liver fibrosis quantification16
MRI follow-up for pancreatic intraductal papillary mucinous neoplasm: an ultrashort versus long protocol15
Variability in personal protective equipment in cross-sectional interventional abdominal radiology practices14
Risk of nephrogenic systemic fibrosis (NSF) in oncology patients receiving gadoxetic acid and updated risk of estimate of NSF in patients receiving gadoxetic acid with moderate and severe renal impair14
Comparison of gadoxetate disodium-enhanced MRI sequences for measuring hepatic observation size and its implication of LI-RADS classification13
Associations between MRI T1 mapping, liver stiffness, quantitative MRCP, and laboratory biomarkers in children and young adults with autoimmune liver disease13
Imaging mimickers of cholangiocarcinoma: a pictorial review12
Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population11
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