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. 2021 Oct 21;11:765652. doi: 10.3389/fonc.2021.765652

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Copyright © 2021 Yu, Ren, Jia, Wu, Niu, Liu, Gao, Hao and Xie

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Radiology nomogram. The radiology nomogram prediction model predicts the probability of PC in patients with epithelial ovarian cancer. The model is developed in a training group with radiomic characteristics and one clinical feature. How to use: (1) locate the patient’s CA125 and then draw a straight line on the top dot axis to obtain a score related to CA125; (2) the patient’s radiologic score is found on the characteristic axis of Radiology, and a line is drawn vertically up along the “point” axis. The process is repeated for each variable. (3) Sum up the sum of the four major risk factors. (4) Find the final sum on the Total Point axis and draw a straight line down to assess PC’s risk in patients with epithelial ovarian cancer.