You Cheng, Zhen-Peng Jiang, Xiao-Bo Chen, Kai-Yu Lu, Zai-Yi Liu, Dan Shao
{"title":"18F-FDG PET/CT代谢参数对可切除非小细胞肺癌新辅助免疫治疗加化疗的预后价值","authors":"You Cheng, Zhen-Peng Jiang, Xiao-Bo Chen, Kai-Yu Lu, Zai-Yi Liu, Dan Shao","doi":"10.1097/RLU.0000000000005863","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study investigates the predictive value of 18 F-FDG PET/CT metabolic parameters in patients with non-small cell lung cancer (NSCLC) undergoing neoadjuvant immunotherapy plus chemotherapy.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of clinical data from 131 patients with pathologically confirmed NSCLC who were deemed resectable after 3 cycles of neoadjuvant immunotherapy plus chemotherapy. Pretreatment and post-treatment PET metabolic parameters were evaluated. CT assessments based on immune response evaluation criteria in solid tumors (iRECIST) were compared with PET/CT assessments using the response criteria in solid tumors (PERCIST). ROC curve analysis and Kaplan-Meier survival analysis, including univariate and Cox multivariate analyses, were employed to assess the prognostic value of PET metabolic parameters after treatment.</p><p><strong>Results: </strong>The PET/CT assessment based on PERCIST showed high consistency with prognosis, while the CT assessment based on iRECIST demonstrated low consistency. Statistically significant differences were observed between the iRECIST and PERCIST criteria ( P <0.001). ROC curve analysis revealed significant differences in post-treatment PET metabolic parameters (postSUVmax, postSUVmean, postSUVpeak, postMTV, and postTLG) as well as the percentage changes in metabolic parameters before and after treatment(Δ) (ΔSUVmax, ΔSUVmean, ΔSUVpeak, ΔMTV, and ΔTLG) ( P <0.05). Optimal cutoff values enabled stratification into high-risk and low-risk groups. Univariate analysis showed significantly higher survival in the low-risk group for all parameters except ΔMTV ( P =0.311), while Cox multivariate analysis identified ΔSUVmax as the most predictive.</p><p><strong>Conclusions: </strong>The PERCIST is more accurate than iRECIST in evaluating prognosis for NSCLC neoadjuvant immunotherapy plus chemotherapy. PET metabolic parameters, particularly ΔSUVmax, effectively predict prognosis and support clinical decision-making.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":" ","pages":"e344-e351"},"PeriodicalIF":9.6000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic Value of 18 F-FDG PET/CT Metabolic Parameters in Resectable Non-small Cell Lung Cancer Treated With Neoadjuvant Immunotherapy Plus Chemotherapy.\",\"authors\":\"You Cheng, Zhen-Peng Jiang, Xiao-Bo Chen, Kai-Yu Lu, Zai-Yi Liu, Dan Shao\",\"doi\":\"10.1097/RLU.0000000000005863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>This study investigates the predictive value of 18 F-FDG PET/CT metabolic parameters in patients with non-small cell lung cancer (NSCLC) undergoing neoadjuvant immunotherapy plus chemotherapy.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of clinical data from 131 patients with pathologically confirmed NSCLC who were deemed resectable after 3 cycles of neoadjuvant immunotherapy plus chemotherapy. Pretreatment and post-treatment PET metabolic parameters were evaluated. CT assessments based on immune response evaluation criteria in solid tumors (iRECIST) were compared with PET/CT assessments using the response criteria in solid tumors (PERCIST). ROC curve analysis and Kaplan-Meier survival analysis, including univariate and Cox multivariate analyses, were employed to assess the prognostic value of PET metabolic parameters after treatment.</p><p><strong>Results: </strong>The PET/CT assessment based on PERCIST showed high consistency with prognosis, while the CT assessment based on iRECIST demonstrated low consistency. Statistically significant differences were observed between the iRECIST and PERCIST criteria ( P <0.001). ROC curve analysis revealed significant differences in post-treatment PET metabolic parameters (postSUVmax, postSUVmean, postSUVpeak, postMTV, and postTLG) as well as the percentage changes in metabolic parameters before and after treatment(Δ) (ΔSUVmax, ΔSUVmean, ΔSUVpeak, ΔMTV, and ΔTLG) ( P <0.05). Optimal cutoff values enabled stratification into high-risk and low-risk groups. Univariate analysis showed significantly higher survival in the low-risk group for all parameters except ΔMTV ( P =0.311), while Cox multivariate analysis identified ΔSUVmax as the most predictive.</p><p><strong>Conclusions: </strong>The PERCIST is more accurate than iRECIST in evaluating prognosis for NSCLC neoadjuvant immunotherapy plus chemotherapy. PET metabolic parameters, particularly ΔSUVmax, effectively predict prognosis and support clinical decision-making.</p>\",\"PeriodicalId\":10692,\"journal\":{\"name\":\"Clinical Nuclear Medicine\",\"volume\":\" \",\"pages\":\"e344-e351\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Nuclear Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/RLU.0000000000005863\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Nuclear Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/RLU.0000000000005863","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Prognostic Value of 18 F-FDG PET/CT Metabolic Parameters in Resectable Non-small Cell Lung Cancer Treated With Neoadjuvant Immunotherapy Plus Chemotherapy.
Objective: This study investigates the predictive value of 18 F-FDG PET/CT metabolic parameters in patients with non-small cell lung cancer (NSCLC) undergoing neoadjuvant immunotherapy plus chemotherapy.
Methods: We conducted a retrospective analysis of clinical data from 131 patients with pathologically confirmed NSCLC who were deemed resectable after 3 cycles of neoadjuvant immunotherapy plus chemotherapy. Pretreatment and post-treatment PET metabolic parameters were evaluated. CT assessments based on immune response evaluation criteria in solid tumors (iRECIST) were compared with PET/CT assessments using the response criteria in solid tumors (PERCIST). ROC curve analysis and Kaplan-Meier survival analysis, including univariate and Cox multivariate analyses, were employed to assess the prognostic value of PET metabolic parameters after treatment.
Results: The PET/CT assessment based on PERCIST showed high consistency with prognosis, while the CT assessment based on iRECIST demonstrated low consistency. Statistically significant differences were observed between the iRECIST and PERCIST criteria ( P <0.001). ROC curve analysis revealed significant differences in post-treatment PET metabolic parameters (postSUVmax, postSUVmean, postSUVpeak, postMTV, and postTLG) as well as the percentage changes in metabolic parameters before and after treatment(Δ) (ΔSUVmax, ΔSUVmean, ΔSUVpeak, ΔMTV, and ΔTLG) ( P <0.05). Optimal cutoff values enabled stratification into high-risk and low-risk groups. Univariate analysis showed significantly higher survival in the low-risk group for all parameters except ΔMTV ( P =0.311), while Cox multivariate analysis identified ΔSUVmax as the most predictive.
Conclusions: The PERCIST is more accurate than iRECIST in evaluating prognosis for NSCLC neoadjuvant immunotherapy plus chemotherapy. PET metabolic parameters, particularly ΔSUVmax, effectively predict prognosis and support clinical decision-making.
期刊介绍：
Clinical Nuclear Medicine is a comprehensive and current resource for professionals in the field of nuclear medicine. It caters to both generalists and specialists, offering valuable insights on how to effectively apply nuclear medicine techniques in various clinical scenarios. With a focus on timely dissemination of information, this journal covers the latest developments that impact all aspects of the specialty.
Geared towards practitioners, Clinical Nuclear Medicine is the ultimate practice-oriented publication in the field of nuclear imaging. Its informative articles are complemented by numerous illustrations that demonstrate how physicians can seamlessly integrate the knowledge gained into their everyday practice.
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