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Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer

The aim of the present study was to investigate the prognostic value of quantitative [(18)F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) parameters for patients with non-small cell lung cancer (NSCLC). The present study conducted a retrospective review of the...

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Autores principales: Ma, Wenchao, Wang, Minshu, Li, Xiaofeng, Huang, Hui, Zhu, Yanjia, Song, Xiuyu, Dai, Dong, Xu, Wengui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126162/
https://www.ncbi.nlm.nih.gov/pubmed/30214552
http://dx.doi.org/10.3892/ol.2018.9166
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author Ma, Wenchao
Wang, Minshu
Li, Xiaofeng
Huang, Hui
Zhu, Yanjia
Song, Xiuyu
Dai, Dong
Xu, Wengui
author_facet Ma, Wenchao
Wang, Minshu
Li, Xiaofeng
Huang, Hui
Zhu, Yanjia
Song, Xiuyu
Dai, Dong
Xu, Wengui
author_sort Ma, Wenchao
collection PubMed
description The aim of the present study was to investigate the prognostic value of quantitative [(18)F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) parameters for patients with non-small cell lung cancer (NSCLC). The present study conducted a retrospective review of the medical records of 203 patients with NSCLC, of which 193 patients underwent baseline (18)F-FDG PET/CT prior to initial therapy. Multivariate analyses using Cox's proportional hazards regression were performed for the assessment of the association between initial PET/CT measurements and overall survival (OS). The multivariate models were adjusted for sex, age, smoking status, disease stage, standardized uptake value (SUV), standardized uptake value corrected for lean body mass (SUL), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and standard deviation of SUV (SD). Kaplan-Meier (K-M) estimator curves were constructed following the formation of three approximately equal-sized groups using tertiles for each PET/CT measurement (n=65, 64 and 64). OS curves were plotted using K-M estimator curves. Results demonstrated significant associations between OS and MTV(PET volume computerized assisted reporting (PETVCAR)), MTV2.5, MTV25%, MTV42% and TLG(PETVCAR); however, no significant associations were identified between OS and MTV50%, MTV75%, TLG2.5, all SUV and SUL. Subgroup analyses according to pathology demonstrated that there were statistically significant associations between OS and stage (P<0.001), MTV50% (P=0.002) and MTV42% (P=0.004) in the adenocarcinoma group, and SUL(mean) (P=0.010), MTV25% (P=0.005) and MTV42% (P=0.001) in the squamous cell carcinoma group; however, no significant differences were identified between any other group. Furthermore, there was a significant association between OS and MTV42% (P=0.02) and MTV50% (P=0.04) in the early-stage group; however, no significant differences were identified in the advanced-stage group. K-M estimator curve analyses demonstrated that the pathology (P=0.01), stage (P<0.001) and all PET metabolic parameters with the exception of SD were significantly associated with OS (P<0.05). No significant associations were demonstrated between SD and OS. In conclusion, (18)F-FDG PET/CT MTV(PETVCAR), MTV2.5, MTV25%, MTV42% and TLG(PETVCAR) exhibit prognostic values with regard to OS. Overall, selection of appropriate metabolic parameters may predict NSCLC prognosis.
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spelling pubmed-61261622018-09-13 Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer Ma, Wenchao Wang, Minshu Li, Xiaofeng Huang, Hui Zhu, Yanjia Song, Xiuyu Dai, Dong Xu, Wengui Oncol Lett Articles The aim of the present study was to investigate the prognostic value of quantitative [(18)F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) parameters for patients with non-small cell lung cancer (NSCLC). The present study conducted a retrospective review of the medical records of 203 patients with NSCLC, of which 193 patients underwent baseline (18)F-FDG PET/CT prior to initial therapy. Multivariate analyses using Cox's proportional hazards regression were performed for the assessment of the association between initial PET/CT measurements and overall survival (OS). The multivariate models were adjusted for sex, age, smoking status, disease stage, standardized uptake value (SUV), standardized uptake value corrected for lean body mass (SUL), metabolic tumor volume (MTV), total lesion glycolysis (TLG) and standard deviation of SUV (SD). Kaplan-Meier (K-M) estimator curves were constructed following the formation of three approximately equal-sized groups using tertiles for each PET/CT measurement (n=65, 64 and 64). OS curves were plotted using K-M estimator curves. Results demonstrated significant associations between OS and MTV(PET volume computerized assisted reporting (PETVCAR)), MTV2.5, MTV25%, MTV42% and TLG(PETVCAR); however, no significant associations were identified between OS and MTV50%, MTV75%, TLG2.5, all SUV and SUL. Subgroup analyses according to pathology demonstrated that there were statistically significant associations between OS and stage (P<0.001), MTV50% (P=0.002) and MTV42% (P=0.004) in the adenocarcinoma group, and SUL(mean) (P=0.010), MTV25% (P=0.005) and MTV42% (P=0.001) in the squamous cell carcinoma group; however, no significant differences were identified between any other group. Furthermore, there was a significant association between OS and MTV42% (P=0.02) and MTV50% (P=0.04) in the early-stage group; however, no significant differences were identified in the advanced-stage group. K-M estimator curve analyses demonstrated that the pathology (P=0.01), stage (P<0.001) and all PET metabolic parameters with the exception of SD were significantly associated with OS (P<0.05). No significant associations were demonstrated between SD and OS. In conclusion, (18)F-FDG PET/CT MTV(PETVCAR), MTV2.5, MTV25%, MTV42% and TLG(PETVCAR) exhibit prognostic values with regard to OS. Overall, selection of appropriate metabolic parameters may predict NSCLC prognosis. D.A. Spandidos 2018-10 2018-07-18 /pmc/articles/PMC6126162/ /pubmed/30214552 http://dx.doi.org/10.3892/ol.2018.9166 Text en Copyright: © Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , 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 Articles
Ma, Wenchao
Wang, Minshu
Li, Xiaofeng
Huang, Hui
Zhu, Yanjia
Song, Xiuyu
Dai, Dong
Xu, Wengui
Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title_full Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title_fullStr Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title_full_unstemmed Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title_short Quantitative (18)F-FDG PET analysis in survival rate prediction of patients with non-small cell lung cancer
title_sort quantitative (18)f-fdg pet analysis in survival rate prediction of patients with non-small cell lung cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6126162/
https://www.ncbi.nlm.nih.gov/pubmed/30214552
http://dx.doi.org/10.3892/ol.2018.9166
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