Multi-Phase Contrast-Enhanced CT Clinical-Radiomics Model for Predicting Prognosis of Extrahepatic Cholangiocarcinoma After Surgery: A Single-Center Retrospective Study.

Shen-Bo ZHANG; Zheng WANG; Ge HU; Si-Hang CHENG; Zhi-Wei WANG; Zheng-Yu JIN

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Multi-Phase Contrast-Enhanced CT Clinical-Radiomics Model for Predicting Prognosis of Extrahepatic Cholangiocarcinoma After Surgery: A Single-Center Retrospective Study.

Author: Shen-Bo ZHANG ¹ ; Zheng WANG ² ; Ge HU ³ ; Si-Hang CHENG ¹ ; Zhi-Wei WANG ⁴ ; Zheng-Yu JIN ^{5
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Author Information

1. Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
2. Department of Radiology, Beijing Chuiyangliu Hospital, Beijing 100022, China.
3. Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
4. Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China. zhiweiwang1981@sina.com.
5. Department of Radiology, State Key Laboratory of Complex Severe and Rare Disease, Theranostics and Translational Research Center, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China. cjr.jinzhengyu@vip.
6. com.
Publication Type:Journal Article
Keywords: extrahepatic cholangiocarcinoma; prognosis; radiomics; retrospective study
MeSH: Humans; Male; Female; Retrospective Studies; Middle Aged; Cholangiocarcinoma/mortality*; Prognosis; Bile Duct Neoplasms/mortality*; Tomography, X-Ray Computed/methods*; Aged; Radiomics
From: Chinese Medical Sciences Journal 2025;40(3):161-170
CountryChina
Language:English
Abstract: OBJECTIVES:To develop and validate a preoperative clinical-radiomics model for predicting overall survival (OS) and disease-free survival (DFS) in patients with extrahepatic cholangiocarcinoma (eCCA) undergoing radical resection.
METHODS:In this retrospective study, consecutive patients with pathologically-confirmed eCCA who underwent radical resection at our institution from 2015 to 2022 were included. The patients were divided into a training cohort and a validation cohort according to the chronological order of their CT examinations. Least absolute shrinkage and selection operator (LASSO)-Cox regression was employed to select predictive radiomic features and clinical variables. The selected features and variables were incorporated into a Cox regression model. Model performance for 1-year OS and DFS prediction was assessed using calibration curves, area under receiver operating characteristic curve (AUC), and concordance index (C-index).
RESULTS:This study included 123 patients (mean age 64.0 ± 8.4 years, 85 males/38 females), with 86 in the training cohort and 37 in the validation cohort. The OS-predicting model included four clinical variables and four radiomic features. It achieved a training cohort AUC of 0.858 (C-index = 0.800) and a validation cohort AUC of 0.649 (C-index = 0.605). The DFS-predicting model included four clinical variables and four other radiomic features. It achieved a training cohort AUC of 0.830 (C-index = 0.760) and a validation cohort AUC of 0.717 (C-index = 0.616).
CONCLUSIONS:The preoperative clinical-radiomics models show promise as a tool for predicting 1-year OS and DFS in eCCA patients after radical surgery.