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. 2023 Apr 18;55(1):2199219. doi: 10.1080/07853890.2023.2199219

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© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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Figure 2. — (A) Univariable and (B) multivariable analyses of associations in PA-TACE-insensitive of hepatocellular carcinoma. (C) Postoperative nomogram for predicting the PA-TACE-insensitive of hepatocellular carcinoma. Calibration curve for predicting PA-TACE-insensitive in the (D) development cohort and (E) validation cohort. Receiver operating characteristic curve of the postoperative nomogram in (F) the development cohort and (G) the validation cohort. AUC, Area under the curve. The cutoff value was determined by ROC curve. DCA of the PA-TACE- insensitive nomogram in (H) the development cohort and (I) the validation cohort. The X axis shows the high-risk threshold, and the Y axis represents the standardized net benefit. Clinical impact curves of the PA-TACE-insensitive nomogram in (J) the development cohort and (K) the validation cohort. The number of high-risk patients (blue dotted line) and the number of high-risk patients with events (red solid line) are plotted.