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Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume
BACKGROUND: We evaluated whether pre- and mid-treatment metabolic tumor volume (MTV) predicts per lesion local recurrence (LR) in patients treated with definitive radiation therapy (RT, dose≥60 Gy) for locally advanced non-small cell lung cancer (NSCLC). METHODS: We retrospectively reviewed records...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238662/ https://www.ncbi.nlm.nih.gov/pubmed/32429982 http://dx.doi.org/10.1186/s13014-020-01546-y |
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author | Binkley, Michael S. Koenig, Julie L. Kashyap, Mehr Xiang, Michael Liu, Yufei Sodji, Quaovi Maxim, Peter G. Diehn, Maximilian Loo, Billy W. Gensheimer, Michael F. |
author_facet | Binkley, Michael S. Koenig, Julie L. Kashyap, Mehr Xiang, Michael Liu, Yufei Sodji, Quaovi Maxim, Peter G. Diehn, Maximilian Loo, Billy W. Gensheimer, Michael F. |
author_sort | Binkley, Michael S. |
collection | PubMed |
description | BACKGROUND: We evaluated whether pre- and mid-treatment metabolic tumor volume (MTV) predicts per lesion local recurrence (LR) in patients treated with definitive radiation therapy (RT, dose≥60 Gy) for locally advanced non-small cell lung cancer (NSCLC). METHODS: We retrospectively reviewed records of patients with stage III NSCLC treated from 2006 to 2018 with pre- and mid-RT PET-CT. We measured the MTV of treated lesions on the pre-RT (MTV(pre)) and mid-RT (MTV(mid)) PET-CT. LR was defined per lesion as recurrence within the planning target volume. Receiver operating characteristic (ROC) curves, cumulative incidence rates, and uni- and multivariable (MVA) competing risk regressions were used to evaluate the association between MTV and LR. RESULTS: We identified 111 patients with 387 lesions (112 lung tumors and 275 lymph nodes). Median age was 68 years, 69.4% were male, 46.8% had adenocarcinoma, 39.6% had squamous cell carcinoma, and 95.5% received concurrent chemotherapy. Median follow-up was 38.7 months. 3-year overall survival was 42.3%. 3-year cumulative incidence of LR was 26.8% per patient and 11.9% per lesion. Both MTV(pre) and MTV(mid) were predictive of LR by ROC (AUC = 0.71 and 0.76, respectively) and were significantly associated with LR on MVA (P = 0.004 and P = 7.1e-5, respectively). Among lesions at lower risk of LR based on MTV(pre), higher MTV(mid) was associated with LR (P = 0.001). CONCLUSION: Per-lesion, larger MTV(pre) and MTV(mid) predicted for increased risk of LR. MTV(mid) was more highly predictive of LR than MTV(pre) and if validated may allow for further discrimination of high-risk lesions at mid-RT informing dose painting strategies. |
format | Online Article Text |
id | pubmed-7238662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72386622020-05-29 Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume Binkley, Michael S. Koenig, Julie L. Kashyap, Mehr Xiang, Michael Liu, Yufei Sodji, Quaovi Maxim, Peter G. Diehn, Maximilian Loo, Billy W. Gensheimer, Michael F. Radiat Oncol Research BACKGROUND: We evaluated whether pre- and mid-treatment metabolic tumor volume (MTV) predicts per lesion local recurrence (LR) in patients treated with definitive radiation therapy (RT, dose≥60 Gy) for locally advanced non-small cell lung cancer (NSCLC). METHODS: We retrospectively reviewed records of patients with stage III NSCLC treated from 2006 to 2018 with pre- and mid-RT PET-CT. We measured the MTV of treated lesions on the pre-RT (MTV(pre)) and mid-RT (MTV(mid)) PET-CT. LR was defined per lesion as recurrence within the planning target volume. Receiver operating characteristic (ROC) curves, cumulative incidence rates, and uni- and multivariable (MVA) competing risk regressions were used to evaluate the association between MTV and LR. RESULTS: We identified 111 patients with 387 lesions (112 lung tumors and 275 lymph nodes). Median age was 68 years, 69.4% were male, 46.8% had adenocarcinoma, 39.6% had squamous cell carcinoma, and 95.5% received concurrent chemotherapy. Median follow-up was 38.7 months. 3-year overall survival was 42.3%. 3-year cumulative incidence of LR was 26.8% per patient and 11.9% per lesion. Both MTV(pre) and MTV(mid) were predictive of LR by ROC (AUC = 0.71 and 0.76, respectively) and were significantly associated with LR on MVA (P = 0.004 and P = 7.1e-5, respectively). Among lesions at lower risk of LR based on MTV(pre), higher MTV(mid) was associated with LR (P = 0.001). CONCLUSION: Per-lesion, larger MTV(pre) and MTV(mid) predicted for increased risk of LR. MTV(mid) was more highly predictive of LR than MTV(pre) and if validated may allow for further discrimination of high-risk lesions at mid-RT informing dose painting strategies. BioMed Central 2020-05-19 /pmc/articles/PMC7238662/ /pubmed/32429982 http://dx.doi.org/10.1186/s13014-020-01546-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Binkley, Michael S. Koenig, Julie L. Kashyap, Mehr Xiang, Michael Liu, Yufei Sodji, Quaovi Maxim, Peter G. Diehn, Maximilian Loo, Billy W. Gensheimer, Michael F. Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title | Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title_full | Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title_fullStr | Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title_full_unstemmed | Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title_short | Predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
title_sort | predicting per-lesion local recurrence in locally advanced non-small cell lung cancer following definitive radiation therapy using pre- and mid-treatment metabolic tumor volume |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7238662/ https://www.ncbi.nlm.nih.gov/pubmed/32429982 http://dx.doi.org/10.1186/s13014-020-01546-y |
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