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CORRECTION article

Front. Immunol., 22 May 2023
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic Novel Biomarkers in Tumor Immunity and Immunotherapy View all 49 articles

Corrigendum: The role of 18F−FDG PET in predicting the pathological response and prognosis to unresectable HCC patients treated with lenvatinib and PD-1 inhibitors as a conversion therapy

  • 1Department of Nuclear Medicine, The First Medical Centre, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
  • 2Nuclear Medicine Department, Beijing Friendship Hospital, Capital Medical University, Beijing, China
  • 3Faculty of Hepato-Pancreato-Biliary Surgery, Chinese People’s Liberation Army (PLA) General Hospital/Institute of Hepatobiliary Surgery of Chinese People’s Liberation Army/Key Laboratory of Digital Hepetobiliary Surgery, People’s Liberation Army, Beijing, China
  • 4Graduate School, Medical School of Chinese People’s Liberation Army (PLA), Beijing, China
  • 5Department of Pathology, The First Medical Centre, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China

A corrigendum on
The role of 18F−FDG PET in predicting the pathological response and prognosis to unresectable HCC patients treated with lenvatinib and PD-1 inhibitors as a conversion therapy

by Wang G, Zhang W, Luan X, Wang Z, Liu J, Xu X, Zhang J, Xu B, Lu S, Wang R and Ma G (2023). Front. Immunol. 14:1151967. doi: 10.3389/fimmu.2023.1151967

In the published article, there was an error in the formula in the manuscript.

A correction has been made to Materials and Methods, Image analysis, Paragraph 2. This sentence previously stated:

“The percentages of post-treatment changes in metabolic parameters were calculated as follows:

ΔSUVmax(%)=SUVmax of pre-treatmentSUVmax of post-treatmentSUVmax of pretreatment ×100%
ΔTLR(%)=TLR of pre-treatmentTLR of post-treatmentTLR of pre-treatment ×100%
ΔPLR(%)=PLR of pre-treatmentPLR of post-treatmentPLR of pre-treatment ×100%

The corrected sentence appears below:

“The percentages of post-treatment changes in metabolic parameters were calculated as follows:

ΔSUVmax(%)=SUVmax of post-treatmentSUVmax of pre-treatment SUV of pre-treatment ×100%
ΔTLR(%)=TLR of post-treatmentTLR of pre-treatmentTLR of pre-treatment ×100%
ΔPLR(%)=PLR of post-treatmentPLR of pre-treatmentPLR of pre-treatment ×100%

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: unresectable hepatocellular carcinoma, conversion therapy, major pathological response, prognosis, 18F-FDG PET

Citation: Wang G, Zhang W, Luan X, Wang Z, Liu J, Xu X, Zhang J, Xu B, Lu S, Wang R and Ma G (2023) Corrigendum: The role of 18F−FDG PET in predicting the pathological response and prognosis to unresectable HCC patients treated with lenvatinib and PD-1 inhibitors as a conversion therapy. Front. Immunol. 14:1219757. doi: 10.3389/fimmu.2023.1219757

Received: 09 May 2023; Accepted: 12 May 2023;
Published: 22 May 2023.

Edited and Reviewed by:

Takaji Matsutani, Repertoire Genesis, Inc., Japan

Copyright © 2023 Wang, Zhang, Luan, Wang, Liu, Xu, Zhang, Xu, Lu, Wang and Ma. 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: Guangyu Ma, bWd5MzAxQDE2My5jb20=; Ruimin Wang, d3JtQHllYWgubmV0; Shichun Lu, bHVzY18zMDFAMTYzLmNvbQ==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.