A combined radiomics and clinical model for preoperative differentiation of intrahepatic cholangiocarcinoma and intrahepatic bile duct stones with cholangitis: a machine learning approach

The combined model integrating radiomics features and clinical data offers a powerful and reliable tool for preoperative differentiation of IBDS-IL and ICC. Its superior performance and clinical interpretability highlight its potential for improving diagnostic accuracy and guiding clinical decision-making. Further validation in larger, multicenter datasets is warranted to confirm its generalizability.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-03-17
DOI
https://doi.org/10.3389/fonc.2025.1546940
Citations
1
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A combined radiomics and clinical model for preoperative differentiation of intrahepatic cholangiocarcinoma and intrahepatic bile duct stones with cholangitis: a machine learning approach

Difan Zhou, Ruanchang Chen, Yanbin Dong, Hongwei Qian et al.
1 citations
Frontiers in Oncology
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
article

A combined radiomics and clinical model for preoperative differentiation of intrahepatic cholangiocarcinoma and intrahepatic bile duct stones with cholangitis: a machine learning approach

Difan Zhou, Ruanchang Chen, Yanbin Dong, Hongwei Qian, Baochun Lu, Luohang Xu, Fei Zhou, Yanhua Huang, Jianhua Yu
article en
1 citations

Abstract

The combined model integrating radiomics features and clinical data offers a powerful and reliable tool for preoperative differentiation of IBDS-IL and ICC. Its superior performance and clinical interpretability highlight its potential for improving diagnostic accuracy and guiding clinical decision-making. Further validation in larger, multicenter datasets is warranted to confirm its generalizability.

Frontiers in OncologyVol. 15
Shaoxing University (CN), Shaoxing People's Hospital (CN), Zhejiang University (CN)
Openalex Percentile: Top 18%
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A combined radiomics and clinical model for preoperative differentiation of intrahepatic cholangiocarcinoma and intrahepatic bile duct stones with cholangitis: a machine learning approach — Difan Zhou, Ruanchang Chen, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS