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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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) |
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Format: | Book |
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BMC,
2022-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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