Cargando…

Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma

BACKGROUND: To investigate the survival prognostic value of the radiomic features of (18)F-FDG PET in patients who had EGFR (epidermal growth factor receptor) mutated lung adenocarcinoma and received targeted TKI (tyrosine kinase inhibitor) treatment. METHODS: Fifty-one patients with stage III-IV lu...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Yu-Hung, Wang, Tso-Fu, Chu, Sung-Chao, Lin, Chih-Bin, Wang, Ling-Yi, Lue, Kun-Han, Liu, Shu-Hsin, Chan, Sheng-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769431/
https://www.ncbi.nlm.nih.gov/pubmed/33370365
http://dx.doi.org/10.1371/journal.pone.0244502
_version_ 1783629323943542784
author Chen, Yu-Hung
Wang, Tso-Fu
Chu, Sung-Chao
Lin, Chih-Bin
Wang, Ling-Yi
Lue, Kun-Han
Liu, Shu-Hsin
Chan, Sheng-Chieh
author_facet Chen, Yu-Hung
Wang, Tso-Fu
Chu, Sung-Chao
Lin, Chih-Bin
Wang, Ling-Yi
Lue, Kun-Han
Liu, Shu-Hsin
Chan, Sheng-Chieh
author_sort Chen, Yu-Hung
collection PubMed
description BACKGROUND: To investigate the survival prognostic value of the radiomic features of (18)F-FDG PET in patients who had EGFR (epidermal growth factor receptor) mutated lung adenocarcinoma and received targeted TKI (tyrosine kinase inhibitor) treatment. METHODS: Fifty-one patients with stage III-IV lung adenocarcinoma and actionable EGFR mutation who received first-line TKI were retrospectively analyzed. All patients underwent pretreatment (18)F-FDG PET/CT, and we calculated the PET-derived radiomic features. Cox proportional hazard model was used to examine the association between the radiomic features and the survival outcomes, including progression-free survival (PFS) and overall survival (OS). A score model was established according to the independent prognostic predictors and we compared this model to the TNM staging system using Harrell's concordance index (c-index). RESULTS: Forty-eight patients (94.1%) experienced disease progression and 41 patients (80.4%) died. Primary tumor SUV entropy > 5.36, and presence of pleural effusion were independently associated with worse OS (both p < 0.001) and PFS (p = 0.001, and 0.003, respectively). We used these two survival predictors to devise a scoring system (score 0–2). Patients with a score of 1 or 2 had a worse survival than those with a score of 0 (HR for OS: 3.6, p = 0.006 for score 1, and HR: 21.8, p < 0.001 for score 2; HR for PFS: 2.2, p = 0.027 for score 1 and HR: 8.8, p < 0.001 for score 2). Our scoring system surpassed the TNM staging system (c-index = 0.691 versus 0.574, p = 0.013 for OS, and c-index = 0.649 versus 0.517, p = 0.004 for PFS). CONCLUSIONS: In this preliminary study, combining PET radiomics with clinical risk factors may improve survival stratification in stage III-IV lung adenocarcinoma with actionable EFGR mutation. Our proposed scoring system may assist with optimization of individualized treatment strategies in these patients.
format Online
Article
Text
id pubmed-7769431
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-77694312021-01-08 Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma Chen, Yu-Hung Wang, Tso-Fu Chu, Sung-Chao Lin, Chih-Bin Wang, Ling-Yi Lue, Kun-Han Liu, Shu-Hsin Chan, Sheng-Chieh PLoS One Research Article BACKGROUND: To investigate the survival prognostic value of the radiomic features of (18)F-FDG PET in patients who had EGFR (epidermal growth factor receptor) mutated lung adenocarcinoma and received targeted TKI (tyrosine kinase inhibitor) treatment. METHODS: Fifty-one patients with stage III-IV lung adenocarcinoma and actionable EGFR mutation who received first-line TKI were retrospectively analyzed. All patients underwent pretreatment (18)F-FDG PET/CT, and we calculated the PET-derived radiomic features. Cox proportional hazard model was used to examine the association between the radiomic features and the survival outcomes, including progression-free survival (PFS) and overall survival (OS). A score model was established according to the independent prognostic predictors and we compared this model to the TNM staging system using Harrell's concordance index (c-index). RESULTS: Forty-eight patients (94.1%) experienced disease progression and 41 patients (80.4%) died. Primary tumor SUV entropy > 5.36, and presence of pleural effusion were independently associated with worse OS (both p < 0.001) and PFS (p = 0.001, and 0.003, respectively). We used these two survival predictors to devise a scoring system (score 0–2). Patients with a score of 1 or 2 had a worse survival than those with a score of 0 (HR for OS: 3.6, p = 0.006 for score 1, and HR: 21.8, p < 0.001 for score 2; HR for PFS: 2.2, p = 0.027 for score 1 and HR: 8.8, p < 0.001 for score 2). Our scoring system surpassed the TNM staging system (c-index = 0.691 versus 0.574, p = 0.013 for OS, and c-index = 0.649 versus 0.517, p = 0.004 for PFS). CONCLUSIONS: In this preliminary study, combining PET radiomics with clinical risk factors may improve survival stratification in stage III-IV lung adenocarcinoma with actionable EFGR mutation. Our proposed scoring system may assist with optimization of individualized treatment strategies in these patients. Public Library of Science 2020-12-28 /pmc/articles/PMC7769431/ /pubmed/33370365 http://dx.doi.org/10.1371/journal.pone.0244502 Text en © 2020 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Yu-Hung
Wang, Tso-Fu
Chu, Sung-Chao
Lin, Chih-Bin
Wang, Ling-Yi
Lue, Kun-Han
Liu, Shu-Hsin
Chan, Sheng-Chieh
Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title_full Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title_fullStr Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title_full_unstemmed Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title_short Incorporating radiomic feature of pretreatment (18)F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma
title_sort incorporating radiomic feature of pretreatment (18)f-fdg pet improves survival stratification in patients with egfr-mutated lung adenocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7769431/
https://www.ncbi.nlm.nih.gov/pubmed/33370365
http://dx.doi.org/10.1371/journal.pone.0244502
work_keys_str_mv AT chenyuhung incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT wangtsofu incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT chusungchao incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT linchihbin incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT wanglingyi incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT luekunhan incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT liushuhsin incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma
AT chanshengchieh incorporatingradiomicfeatureofpretreatment18ffdgpetimprovessurvivalstratificationinpatientswithegfrmutatedlungadenocarcinoma