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

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: To eva...

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Detalles Bibliográficos
Autores principales: Liu, Xuefen, Wang, Tianping, Zhang, Guofu, Hua, Keqin, Jiang, Hua, Duan, Shaofeng, Jin, Jun, Zhang, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815217/
https://www.ncbi.nlm.nih.gov/pubmed/35115022
http://dx.doi.org/10.1186/s13048-022-00943-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815217/
https://www.ncbi.nlm.nih.gov/pubmed/35115022
http://dx.doi.org/10.1186/s13048-022-00943-z

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