The value of a radiomics model in predicting ovarian malignancy: a retrospective multi-center comparison with O-RADS and radiologists

The value of a radiomics model in predicting ovarian malignancy: a retrospective multi-center comparison with O-RADS and radiologists

Abstract Objectives To develop an MRI–based radiomics model for ovarian masses categorization and to compare the model performance to Ovarian-Adnexal Reporting and Data System (O-RADS) and radiologists’ assessments. Materials and methods This retrospective multicenter study included 497 patients (24...

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Bibliographic Details
Main Authors: Junjie Jin, Xijia Deng, Ling Long, Meiling Liu, Meimei Cao, Hao Gong, Huan Liu, Xiaosong Lan, Lili Liu, Jiuquan Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Insights into Imaging
Subjects:
Ovarian masses
MRI
Radiomics
Ovarian-Adnexal Reporting and Data System
Online Access:https://doi.org/10.1186/s13244-025-02047-w
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