Cargando…
Dynamic (18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer
Major pathological response (MPR) is a potential surrogate for overall survival. We determined whether the dynamic changes in (18)F‐labeled fluoro‐2‐deoxyglucose positron emission tomography/computed tomography ((18)F‐FDG PET/CT) were associated with MPR in patients receiving neoadjuvant immunothera...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Australia, Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436661/ https://www.ncbi.nlm.nih.gov/pubmed/35822254 http://dx.doi.org/10.1111/1759-7714.14562 |
_version_ | 1784781419283742720 |
---|---|
author | Chen, Zhi‐Yong Fu, Rui Tan, Xiao‐Yue Yan, Li‐Xu Tang, Wen‐Fang Qiu, Zhen‐Bin Qi, Yi‐Fan Li, Yu‐Fa Hou, Qing‐Yi Wu, Yi‐Long Zhong, Wen‐Zhao Jiang, Ben‐Yuan |
author_facet | Chen, Zhi‐Yong Fu, Rui Tan, Xiao‐Yue Yan, Li‐Xu Tang, Wen‐Fang Qiu, Zhen‐Bin Qi, Yi‐Fan Li, Yu‐Fa Hou, Qing‐Yi Wu, Yi‐Long Zhong, Wen‐Zhao Jiang, Ben‐Yuan |
author_sort | Chen, Zhi‐Yong |
collection | PubMed |
description | Major pathological response (MPR) is a potential surrogate for overall survival. We determined whether the dynamic changes in (18)F‐labeled fluoro‐2‐deoxyglucose positron emission tomography/computed tomography ((18)F‐FDG PET/CT) were associated with MPR in patients receiving neoadjuvant immunotherapy. Forty‐four patients with stage II–III non‐small cell lung cancer (NSCLC) who received neoadjuvant immunotherapy and radical surgery were enrolled. Moreover, (18)F‐FDG PET/CT scans were performed at baseline and within 1 week before surgery to evaluate the disease. All histological sections were reviewed to assess MPR. The detailed clinical features of the patients were analyzed. The reliability of the clinical variables was assessed in differentiating between MPR and non‐MPR using logistic regression. Receiver‐operating characteristic (ROC) curve analysis identified the SUVmax changes threshold most associated with MPR. Most of the patients were pathologically diagnosed with squamous cell carcinoma and received anti‐PD‐1 antibodies plus chemotherapy. The immunotherapy regimens included nivolumab, pembrolizumab, and camrelizumab. MPR was observed in more than half of lesions. Tumors with MPR had a higher decrease in the longest dimension on dynamic PET/CT than those without MPR. Furthermore, the decline in SUVmax was significantly different between MPR and non‐MPR diseases, and MPR lesions had a prominent mean reduction in SUVmax. SUVmax reduction was independently associated with MPR in the multivariate regression. On ROC analysis, the threshold of SUVmax decrease in 60% was associated with MPR. Dynamic changes in SUVmax were associated with MPR. The tumors with MPR showed a greater PET/CT response than those without MPR. A SUVmax decrease of more than 60% is more likely to result in an MPR after receiving neoadjuvant immunotherapy. |
format | Online Article Text |
id | pubmed-9436661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons Australia, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-94366612022-09-09 Dynamic (18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer Chen, Zhi‐Yong Fu, Rui Tan, Xiao‐Yue Yan, Li‐Xu Tang, Wen‐Fang Qiu, Zhen‐Bin Qi, Yi‐Fan Li, Yu‐Fa Hou, Qing‐Yi Wu, Yi‐Long Zhong, Wen‐Zhao Jiang, Ben‐Yuan Thorac Cancer Brief Report Major pathological response (MPR) is a potential surrogate for overall survival. We determined whether the dynamic changes in (18)F‐labeled fluoro‐2‐deoxyglucose positron emission tomography/computed tomography ((18)F‐FDG PET/CT) were associated with MPR in patients receiving neoadjuvant immunotherapy. Forty‐four patients with stage II–III non‐small cell lung cancer (NSCLC) who received neoadjuvant immunotherapy and radical surgery were enrolled. Moreover, (18)F‐FDG PET/CT scans were performed at baseline and within 1 week before surgery to evaluate the disease. All histological sections were reviewed to assess MPR. The detailed clinical features of the patients were analyzed. The reliability of the clinical variables was assessed in differentiating between MPR and non‐MPR using logistic regression. Receiver‐operating characteristic (ROC) curve analysis identified the SUVmax changes threshold most associated with MPR. Most of the patients were pathologically diagnosed with squamous cell carcinoma and received anti‐PD‐1 antibodies plus chemotherapy. The immunotherapy regimens included nivolumab, pembrolizumab, and camrelizumab. MPR was observed in more than half of lesions. Tumors with MPR had a higher decrease in the longest dimension on dynamic PET/CT than those without MPR. Furthermore, the decline in SUVmax was significantly different between MPR and non‐MPR diseases, and MPR lesions had a prominent mean reduction in SUVmax. SUVmax reduction was independently associated with MPR in the multivariate regression. On ROC analysis, the threshold of SUVmax decrease in 60% was associated with MPR. Dynamic changes in SUVmax were associated with MPR. The tumors with MPR showed a greater PET/CT response than those without MPR. A SUVmax decrease of more than 60% is more likely to result in an MPR after receiving neoadjuvant immunotherapy. John Wiley & Sons Australia, Ltd 2022-07-12 2022-09 /pmc/articles/PMC9436661/ /pubmed/35822254 http://dx.doi.org/10.1111/1759-7714.14562 Text en © 2022 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Brief Report Chen, Zhi‐Yong Fu, Rui Tan, Xiao‐Yue Yan, Li‐Xu Tang, Wen‐Fang Qiu, Zhen‐Bin Qi, Yi‐Fan Li, Yu‐Fa Hou, Qing‐Yi Wu, Yi‐Long Zhong, Wen‐Zhao Jiang, Ben‐Yuan Dynamic (18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title | Dynamic
(18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title_full | Dynamic
(18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title_fullStr | Dynamic
(18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title_full_unstemmed | Dynamic
(18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title_short | Dynamic
(18)F‐FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
title_sort | dynamic
(18)f‐fdg pet/ct can predict the major pathological response to neoadjuvant immunotherapy in non‐small cell lung cancer |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436661/ https://www.ncbi.nlm.nih.gov/pubmed/35822254 http://dx.doi.org/10.1111/1759-7714.14562 |
work_keys_str_mv | AT chenzhiyong dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT furui dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT tanxiaoyue dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT yanlixu dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT tangwenfang dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT qiuzhenbin dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT qiyifan dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT liyufa dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT houqingyi dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT wuyilong dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT zhongwenzhao dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer AT jiangbenyuan dynamic18ffdgpetctcanpredictthemajorpathologicalresponsetoneoadjuvantimmunotherapyinnonsmallcelllungcancer |