This article is a correction to:
Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses
Shengsen Chen
Chao Wang2†
Yuwei Gu
Rongwei Ruan
Shi Wang- 1Department of Endoscopy, Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China
- 2Department of Emergency, Huashan Hospital affiliated to Fudan University, Shanghai, China
- 3Department of Rehabilitation Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
A Corrigendum on
Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses
By Chen S, Wang C, Gu Y, Ruan R, Yu J and Wang S (2022) Front. Oncol. 11:774800. doi: 10.3389/fonc.2021.774800
There is an error in the Funding statement. The correct number for the Medical Health Science and Technology Project of Zhejiang Province is 2022KY619. There is also an error in the original article. This mistake is in the abstract methods part, in the sentence “A total of 111 patients who underwent radical resection of hepatocellular carcinoma (HCC) from January 2015 to September 2020 were retrospectively collected”. Here the time is wrong, it should be from January 2017 to December 2019 instead.
A correction has been made to Abstract section, Methods sub-section, first paragraph:
“A total of 111 patients who underwent radical resection of hepatocellular carcinoma (HCC) from January 2017 to December 2019 were retrospectively collected. We utilized logistic regression and least absolute shrinkage and selection operator (LASSO) regression to identify the independent predictive factors of MVI and its M2 classification. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were calculated to select the potential predictive factors from the results of LASSO and logistic regression. Nomograms for predicting MVI and its M2 grade were then developed by incorporating these factors. Area under the curve (AUC), calibration curve, and decision curve analysis (DCA) were respectively used to evaluate the efficacy, accuracy, and clinical utility of the nomograms.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: hepatocellular carcinoma, microvascular invasion, M2 classification, prediction model, nomogram
Citation: Chen S, Wang C, Gu Y, Ruan R, Yu J and Wang S (2022) Corrigendum: Prediction of Microvascular Invasion and Its M2 Classification in Hepatocellular Carcinoma Based on Nomogram Analyses. Front. Oncol. 12:888008. doi: 10.3389/fonc.2022.888008
Received: 02 March 2022; Accepted: 10 March 2022;
Published: 05 April 2022.
Edited and reviewed by:
Alessandro Vitale, University Hospital of Padua, ItalyCopyright © 2022 Chen, Wang, Gu, Ruan, Yu and Wang. 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.
*Correspondence: Shi Wang, d2FuZ3NoaUB6amNjLm9yZy5jbg==
†These authors have contributed equally to this work