Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer.

CONCLUSIONS: The DL method extracts effective CT-based prognostic biomarkers for HGSOC, and provides a non-invasive and preoperative model for individualized recurrence prediction in HGSOC. In addition, the DL-CPH model provides a new prognostic analysis method that can utilize CT data without follow-up for prognostic biomarker extraction.
PMID: 30392780 [PubMed - as supplied by publisher]

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - November 1, 2018 Category: Radiology Authors: Wang S, Liu Z, Rong Y, Zhou B, Bai Y, Wei W, Wei W, Wang M, Guo Y, Tian J Tags: Radiother Oncol Source Type: research