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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-02-01
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Series: | Journal of Ovarian Research |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13048-022-00943-z |