T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study

T2-weighted MRI-based radiomics for discriminating between benign and borderline epithelial ovarian tumors: a multicenter study

Abstract Background Preoperative differentiation between benign and borderline epithelial ovarian tumors (EOTs) is challenging and can significantly impact clinical decision making. The purpose was to investigate whether radiomics based on T2-weighted MRI can discriminate between benign and borderli...

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Bibliographic Details
Main Authors: Mingxiang Wei, Yu Zhang, Genji Bai, Cong Ding, Haimin Xu, Yao Dai, Shuangqing Chen, Hong Wang
Format: Article
Language:English
Published: SpringerOpen 2022-08-01
Series:Insights into Imaging
Subjects:
Ovary
Radiomics
Machine learning
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s13244-022-01264-x

Internet

https://doi.org/10.1186/s13244-022-01264-x

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