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Validation of prognostic models for predicting postsurgical outcomes in intrahepatic cholangiocarcinoma patients using a multicenter cohort

Authors
 Kim, Dong Hwan  ;  Choi, Sang Hyun  ;  Kim, Sehee  ;  Lee, Woohyung  ;  Kim, Hyung-Don  ;  Rhee, Hyungjin  ;  Cho, Eun-Suk  ;  Yeom, Suk-Keu  ;  Park, Sumi  ;  Lee, Seung Soo  ;  Park, Mi-Suk 
Citation
 INTERNATIONAL JOURNAL OF SURGERY, Vol.111(10) : 7032-7040, 2025-10 
Journal Title
INTERNATIONAL JOURNAL OF SURGERY
ISSN
 1743-9191 
Issue Date
2025-10
MeSH
Aged ; Bile Duct Neoplasms* / diagnosis ; Bile Duct Neoplasms* / mortality ; Bile Duct Neoplasms* / pathology ; Bile Duct Neoplasms* / surgery ; Cholangiocarcinoma* / diagnosis ; Cholangiocarcinoma* / mortality ; Cholangiocarcinoma* / pathology ; Cholangiocarcinoma* / surgery ; Female ; Hepatectomy* ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local / epidemiology ; Nomograms ; Prognosis ; Retrospective Studies ; Treatment Outcome
Keywords
cholangiocarcinoma ; liver neoplasms ; prognosis ; recurrence ; survival
Abstract
Background:Few studies to date have externally validated and directly compared conventional prognostic models that predict postsurgical outcomes in patients with intrahepatic cholangiocarcinoma (ICCA). We aimed to validate the performance of prognostic models predicting postsurgical outcomes in a multicenter cohort of patients with ICCA.Materials and methods:Consecutive patients with ICCA who underwent curative-intent hepatic resection for ICCA at six tertiary referral institutions between January 2009 and December 2016 were retrospectively analyzed. The predictive abilities of the American Joint Committee on Cancer TNM 8th edition, Wang nomogram, Hyder nomogram, MEGNA score, and Tsilimigras prescore and postscore models were assessed based on preoperative and postoperative clinical, pathological, and imaging data. The ability of the six prognostic models to predict early recurrence (within 1-year) and 5-year overall survival (OS) was evaluated, including their discrimination and calibration capabilities.Results:Among the 333 patients included (mean age [standard deviation], 62.4 [9.8] years; 206 [61.9%] men), 142 (42.6%) experienced early recurrence and 225 (67.6%) died during a median follow-up of 45.1 months. In predicting early recurrence, the Tsilimigras postscore model showed the highest area under the receiver operating characteristic curve (0.811), followed by the Wang nomogram (0.780). In predicting 5-year OS, the Wang nomogram had the highest concordance index (0.704), followed by the Tsilimigras postscore model (0.675). All six models showed good calibration, with strong agreement between predicted and observed outcomes. Risk stratification based on these models effectively differentiated OS at 1, 3, and 5 years post-surgery (P <= 0.005).Conclusion:The Tsilimigras postscore model and the Wang nomogram were optimal in predicting early recurrence and long-term survival, respectively, in ICCA patients who underwent curative-intent resection. These findings may help select the most appropriate prognostic model for predicting postsurgical outcomes in ICCA patients.
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DOI
10.1097/JS9.0000000000002810
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Park, Mi-Suk(박미숙) ORCID logo https://orcid.org/0000-0001-5817-2444
Rhee, Hyungjin(이형진) ORCID logo https://orcid.org/0000-0001-7759-4458
Cho, Eun Suk(조은석)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/209631
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