Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma
- 1Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- 2Department of Cardiology, Second Hospital of Hebei Medical University, Shijiazhuang, China
- 3Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- 4Department of Pathology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- 5Department of Computed Tomography and Magnetic Resonance, Children’s Hospital of Hebei Province, Shijiazhuang, China
- 6GE Healthcare China, Beijing, China
A Corrigendum on
Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma
By Li Y, Yu M, Wang G, Yang L, Ma C, Wang M, Yue M, Cong M, Ren J and Shi G (2021) Front. Oncol. 11:644165. doi: 10.3389/fonc.2021.644165
In the original article, there was a mistake in Table 2 as published.
During the analysis using the statistical software, a display problem caused the OR value to be incorrectly displayed as 1/OR. The same error occurred for the 95% CI. This was only a display error and did not affect the other tables, figures and final results.
The corrected Table 2 appears below.
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.
Keywords: lymphovascular invasion, radiomics, contrast-enhanced CT, nomogram, esophageal squamous cell carcinoma
Citation: Li Y, Yu M, Wang G, Yang L, Ma C, Wang M, Yue M, Cong M, Ren J and Shi G (2021) Corrigendum: Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma. Front. Oncol. 11:712493. doi: 10.3389/fonc.2021.712493
Received: 20 May 2021; Accepted: 31 May 2021;
Published: 17 June 2021.
Edited and reviewed by:
Seyedmehdi Payabvash, Yale University, United StatesCopyright © 2021 Li, Yu, Wang, Yang, Ma, Wang, Yue, Cong, Ren and Shi. 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: Gaofeng Shi, gaofengs62@sina.com
†These authors have contributed equally to this work