Radiomics for Detection and Differentiation of Intrahepatic Cholangiocarcinoma: A Systematic Review and Meta-Analysis

Radiomics-based AI models demonstrate clinically meaningful diagnostic accuracy for noninvasive differentiation of ICC and may complement conventional imaging in preoperative evaluation. Prospective, multicenter studies with standardized imaging protocols and rigorous external validation are required before routine clinical adoption.

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Publication Details

Journal
Cancers
Published
2026-03-13
DOI
https://doi.org/10.3390/cancers18060937
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Radiomics for Detection and Differentiation of Intrahepatic Cholangiocarcinoma: A Systematic Review and Meta-Analysis

Umar Sultan, Zayan Alidina, Illiyun Banani, Umm E. Abiha et al.
Cancers
Cholangiocarcinoma and Gallbladder Cancer Studies
article

Radiomics for Detection and Differentiation of Intrahepatic Cholangiocarcinoma: A Systematic Review and Meta-Analysis

Umar Sultan, Zayan Alidina, Illiyun Banani, Umm E. Abiha, Timothy M. Pawlik
article en

Abstract

Radiomics-based AI models demonstrate clinically meaningful diagnostic accuracy for noninvasive differentiation of ICC and may complement conventional imaging in preoperative evaluation. Prospective, multicenter studies with standardized imaging protocols and rigorous external validation are required before routine clinical adoption.

CancersVol. 18(6)
Aga Khan University (PK), The Ohio State University Wexner Medical Center (US)
Openalex Percentile: Top 23%
Cholangiocarcinoma and Gallbladder Cancer Studies
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