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September 10, 2025Frontiers in OncologyOpen Access

Preoperative assessment of longitudinal extent in hilar cholangiocarcinoma using noninvasive enhanced MR radiomics: a multicenter study

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Authors

XQXin QuanUniversity of Science and Technology LiaoningXHXinqiao HuangSouthwest Medical UniversityJLJiong LiuUniversité Claude Bernard Lyon 1

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Implication

Retrospective analysis identifies predictive models for Bismuth type IV in patients with hilar cholangiocarcinoma, suggesting improved surgical planning.

Key Points

  • The fusion model achieved a predictive accuracy of AUC 0.980 in the training set for Bismuth type IV classification.
  • Radiosomics models using T2-weighted imaging, diffusion-weighted imaging, and e-THRIVE displayed strong predictive capabilities, with AUC values above 0.800.
  • Data from 154 patients with hilar cholangiocarcinoma were analyzed retrospectively to develop and validate the predictive models.
  • Using multi-sequence MRI techniques helps aid surgical decision-making, particularly for achieving R0 resections in patients.

Cite This Study

Quan et al. (2025) studied this question.

synapsesocial.com/papers/68c192659b7b07f3a0617529https://doi.org/10.3389/fonc.2025.1632630
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma2024 · 35 citations
  2. 2Radiologic Evaluation and Structured Reporting Form for Extrahepatic Bile Duct Cancer: 2019 Consensus Recommendations from the Korean Society of Abdominal Radiology2020 · 37 citations
  3. 3Novel Nomogram for Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma2018 · 126 citations
  4. 4Accuracy of whole-body diffusion-weighted MRI (WB-DWI/MRI) in diagnosis, staging and follow-up of gastric cancer, in comparison to CT: a pilot study2021 · 40 citations