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

• Main Authors: Tianping Wang (Author), Haijie Wang (Author), Yida Wang (Author), Xuefen Liu (Author), Lei Ling (Author), Guofu Zhang (Author), Guang Yang (Author), He Zhang (Author)
• Format: Book
• Published: BMC, 2022-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...