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

. 2021 Apr 29;23:52. doi: 10.1186/s13058-021-01429-4

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

© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

PMC Copyright notice

Fig. 7 — a ROCs for the three noninvasive models generated with the leave-one-out cross-validation, which is based on the combination of E_{mean_ratio1} and s₁ for the first visit, the combination of E_mean2 and s₂ for the second visit, the combination of E_{max_ratio3} and f_mass3 for the third visit. b ROCs for the three mixed models which were generated with the Ki-67 index added to the noninvasive models for ER-positive tumors. c Comparisons of the AUCs for the ROCs for NACT response prediction with the MRI volume from reference [23], the MRI volume in this study, the noninvasive models, and the mixed models. The 1st visit for the MRI volume measurement in [23] was after the first cycle of NACT treatment. ROC, receiver operating characteristic; SWE, shear wave elastography; PR, progesterone receptor; NACT, neoadjuvant chemotherapy; AUC, area under the curve; MRI, magnetic resonance imaging; IHC, immunohistochemical