MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

Abstract Background Epithelial ovarian cancer (EOC) is the most malignant gynecological tumor in women. This study aimed to construct and compare radiomics-clinical nomograms based on MR images in EOC prognosis prediction. Methods A total of 186 patients with pathologically proven EOC were enrolled...

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Bibliographic Details
Main Authors: Tianping Wang, Haijie Wang, Yida Wang, Xuefen Liu, Lei Ling, Guofu Zhang, Guang Yang, He Zhang
Format: Article
Language:English
Published: BMC 2022-01-01
Series:Journal of Ovarian Research
Subjects:
Epithelial ovarian cancer
Radiomics
MR images
Prognosis
Computer-aided diagnosis
Online Access:https://doi.org/10.1186/s13048-021-00941-7

Internet

https://doi.org/10.1186/s13048-021-00941-7

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