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Abdominal Radiology (New York)|January 3, 2026
Role of ADC in differentiating hepatocellular adenoma vs. hepatocellular carcinoma and metastatic liver lesions: systematic review and meta-analysisMehrad Zare, Alisa Mohebbi, Seyed Taha Hodoodi, et al.Abdominal Radiology (New York)|April 11, 2025
A case of plasmacytoid urothelial carcinoma with characteristic radiological findingsFumiko Yagi, Hirotaka Akita, Kazuhiro Matsumoto, et al.Abdominal Radiology (New York)|April 10, 2025
The pitfalls of fixed-ratio data splitting in radiomics model performance evaluationHaoru WangAbdominal Radiology (New York)|April 2, 2025
Predicting clinically significant prostate cancer in PI-RADS 3 lesions using MRI-based radiomics: a literature review of methodological variations and performanceAlejandro Serrano, Christopher Louviere, Anmol Singh, et al.Abdominal Radiology (New York)|April 7, 2025
Radiological manifestations of bariatric surgeriesNidhi Desai, Michael Calderon, Patricia Abbitt, et al.Abdominal Radiology (New York)|April 2, 2025
Splenic imaging and non-vascular intervention: when to intervene on the spleen and how to do it safelyDanielle E Kruse, Benjamin Wildman-Tobriner, Lisa M HoAbdominal Radiology (New York)|April 28, 2025
MRI radiomics prediction modelling for pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a systematic review and meta-analysisJason Rai, Dinh V C Mai, Ioanna Drami, et al.Abdominal Radiology (New York)|May 1, 2025
External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CTAnish Kirpalani, Théo Viel, Zixuan Hu, et al.Abdominal Radiology (New York)|April 26, 2025
Adrenal lesion classification revisited: validation and adjustment of dual-energy CT derived virtual unenhanced attenuation thresholdsPascale Bernard, Christian Nelles, Philipp Fervers, et al.Abdominal Radiology (New York)|April 17, 2025
DWI of the rectum with deep learning reconstruction: comparison of PROPELLER, reduced FOV, and conventional DWIShohei Matsumoto, Takahiro Tsuboyama, Hiromitsu Onishi, et al.Pageof 454