Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Mar 14;12:800787. doi: 10.3389/fonc.2022.800787

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2022 Wei, Gong, He, Liu, Liu, Yang, Zhou, Liang, Zhan, Xia, Duan, Lin, Han, Li, Qin, Pickhardt and Deng

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.

PMC Copyright notice

The radiomic nomogram developed, tested, and validated in this study—including Rad-score and key clinical variables (sex and CTP class) —for two- and three-year non-HCC survival (NHS) in patients with HBV cirrhosis. The nomogram allows the user to obtain the probability of two- and three-year non-HCC survival corresponding to a patient’s combination of covariates. As an example, one can locate the patient’s sex and draw a line straight upward to the “Points” axis to determine the score associated with that level of sex. One can then repeat the process for each variable, and sum the scores achieved for each covariate, and locate this sum on the “Total Points” axis. Then, one can draw a line straight down to determine the likelihood of the two- and three-year non-HCC survival.