CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors

CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors

Abstract Objective To investigate the potential of combining radiomics with clinicoradiological features in predicting progression-free survival (PFS) after the surgery of high-grade serous ovarian carcinoma (HGSOC). Methods In this retrospective multicenter study, a total of 195 patients with patho...

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Bibliographic Details
Main Authors: Xinping Yu, Zidong Zhang, Yuwei Zou, Chang Wang, Jinwen Jiao, Chengjian Wang, Haiyang Yu, Shuai Zhang
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Imaging
Subjects:
High-grade serous ovarian carcinoma
Progression-free survival
Radiomics
Computed tomography
Prediction model
Online Access:https://doi.org/10.1186/s12880-025-01865-0
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https://doi.org/10.1186/s12880-025-01865-0

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