Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors

Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors

Abstract Background Ovarian cancer is the most women malignancy in the whole world. It is difficult to differentiate ovarian cancers from ovarian borderline tumors because of some similar imaging findings.Radiomics study may help clinicians to make a proper diagnosis before invasive surgery. Purpose...

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Bibliographic Details
Main Authors: Xuefen Liu, Tianping Wang, Guofu Zhang, Keqin Hua, Hua Jiang, Shaofeng Duan, Jun Jin, He Zhang
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Journal of Ovarian Research
Subjects:
Ovarian neoplasm
Magnetic resonance imaging
Computer-Assisted Diagnosis
Radiomics
Online Access:https://doi.org/10.1186/s13048-022-00943-z

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