Predictive value of intratumoral-metabolic heterogeneity derived from 18F-FDG PET/CT in distinguishing microsatellite instability status of colorectal carcinoma
- 1Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 2Hubei Key Laboratory of Molecular Imaging, Wuhan, China
- 3Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
by Zhang L, Liu Y, Ding Y, Deng Y, Chen H, Hu F, Fan J, Lan X and Cao W (2023) Front. Oncol. 13:1065744. doi: 10.3389/fonc.2023.1065744
Text Correction
In the published article, there was an error. There was an error in the mathematical formula. We mistook Odds ratio to Regression coefficient.
A correction has been made to Results, to the first paragraph Model establishment and mucinous composition exploration. This sentence previously stated: x = -2.083 + 2.114 × Z-HI60%+ 13.32 × mucinous component (the “-” or “+” of mucinous component was defined as “0” or “l”).
The corrected sentence appears below: x = -2.083 + 0.749 × Z-HI60%+ 2.589 × mucinous component (the “-” or “+” of mucinous component was defined as “0” or “l”) (Table S3).
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: colorectal carcinoma, heterogeneity, immune-checkpoint inhibitors, metabolic parameter, microsatellite instability, positron emission tomography/computed tomography
Citation: Zhang L, Liu Y, Ding Y, Deng Y, Chen H, Hu F, Fan J, Lan X and Cao W (2024) Corrigendum: Predictive value of intratumoral-metabolic heterogeneity derived from 18F-FDG PET/CT in distinguishing microsatellite instability status of colorectal carcinoma. Front. Oncol. 13:1351842. doi: 10.3389/fonc.2023.1351842
Received: 07 December 2023; Accepted: 11 December 2023;
Published: 05 January 2024.
Edited and Reviewed by:
Zhendong Jin, Second Military Medical University, ChinaCopyright © 2024 Zhang, Liu, Ding, Deng, Chen, Hu, Fan, Lan and Cao. 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: Wei Cao, Y2Fvd2VpQGh1c3QuZWR1LmNu