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. 2021 Sep 7;11:744250. doi: 10.3389/fonc.2021.744250

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Copyright © 2021 Song, Yang, Garneau, Lu, Li, Lee, Stock, Braman, Koyuncu, Toro, Fu, Koyfman, Lewis and Madabhushi

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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Feature map for the best intratumoral and peritumoral features expressing differently on the example HPV+ and HPV− CT slices overlaid with either tumor or annular ring areas around the tumor (A). Boxplots showing distribution differences for the best intratumoral (B) and peritumoral feature (C) between HPV+ and HPV− patients in both training (S_T) and validation (S_V). Receiver operating characteristic (ROC) analysis of radiomic features for predicting HPV status on training (S_T, n = 180) and validation (S_V, n = 282) cohorts with confidence intervals (D). Using combined intratumoral and peritumoral features yielded the best result in S_V. IT, intratumoral; PT, peritumoral.