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The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer
INTRODUCTION: Limited stage small cell lung cancer (LS-SCLC) has a poor prognosis. Additional prognostic markers are needed for risk-stratification and treatment intensification. This study compares quantitative CT-based volumetric tumor measurements versus International Association for the Study of...
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/PMC6961251/ https://www.ncbi.nlm.nih.gov/pubmed/31937336 http://dx.doi.org/10.1186/s13014-020-1460-4 |
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author | Kamran, Sophia C. Coroller, Thibaud Milani, Nastaran Agrawal, Vishesh Baldini, Elizabeth H. Chen, Aileen B. Johnson, Bruce E. Kozono, David Franco, Idalid Chopra, Nitish Zeleznik, Roman Aerts, Hugo J. W. L. Mak, Raymond |
author_facet | Kamran, Sophia C. Coroller, Thibaud Milani, Nastaran Agrawal, Vishesh Baldini, Elizabeth H. Chen, Aileen B. Johnson, Bruce E. Kozono, David Franco, Idalid Chopra, Nitish Zeleznik, Roman Aerts, Hugo J. W. L. Mak, Raymond |
author_sort | Kamran, Sophia C. |
collection | PubMed |
description | INTRODUCTION: Limited stage small cell lung cancer (LS-SCLC) has a poor prognosis. Additional prognostic markers are needed for risk-stratification and treatment intensification. This study compares quantitative CT-based volumetric tumor measurements versus International Association for the Study of Lung Cancer (IASLC) TNM staging to predict outcomes. MATERIALS & METHODS: A cohort of 105 patients diagnosed with LS-SCLC and treated with chemoradiation (CRT) from 2000 to 2013 were analyzed retrospectively. Patients were staged by the Union for International Cancer Control (UICC) TNM Classification, 8th edition. Tumor volumes and diameters were extracted from radiation planning CT imaging. Univariable and multivariable models were used to analyze relationships between CT features and overall survival (OS), locoregional recurrence (LRR), in-field LRR, any progression, and distant metastasis (DM). RESULTS: Median follow-up was 21.3 months. Two-year outcomes were as follows: 38% LRR, 31% in-field LRR, 52% DM, 62% any progression, and 47% OS (median survival 16.5 months). On univariable analysis, UICC T-stage and N-stage were not associated with any clinical outcome. UICC overall stage was only statistically associated with in-field LRR. One imaging feature (3D maximum tumor diameter) was found to be significantly associated with LRR (HR 1.10, p = 0.003), in-field LRR (HR 1.10, p = 0.007), DM (HR 1.10, p = 0.02), any progression (HR 1.10, p = 0.008), and OS (HR 1.10, p = 0.03). On multivariable analysis, this feature remained significantly associated with all outcomes. CONCLUSION: For LS-SCLC, quantitative CT-based volumetric tumor measurements were significantly associated with outcomes after CRT and may be better predictors of outcome than TNM stage. |
format | Online Article Text |
id | pubmed-6961251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69612512020-01-17 The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer Kamran, Sophia C. Coroller, Thibaud Milani, Nastaran Agrawal, Vishesh Baldini, Elizabeth H. Chen, Aileen B. Johnson, Bruce E. Kozono, David Franco, Idalid Chopra, Nitish Zeleznik, Roman Aerts, Hugo J. W. L. Mak, Raymond Radiat Oncol Research INTRODUCTION: Limited stage small cell lung cancer (LS-SCLC) has a poor prognosis. Additional prognostic markers are needed for risk-stratification and treatment intensification. This study compares quantitative CT-based volumetric tumor measurements versus International Association for the Study of Lung Cancer (IASLC) TNM staging to predict outcomes. MATERIALS & METHODS: A cohort of 105 patients diagnosed with LS-SCLC and treated with chemoradiation (CRT) from 2000 to 2013 were analyzed retrospectively. Patients were staged by the Union for International Cancer Control (UICC) TNM Classification, 8th edition. Tumor volumes and diameters were extracted from radiation planning CT imaging. Univariable and multivariable models were used to analyze relationships between CT features and overall survival (OS), locoregional recurrence (LRR), in-field LRR, any progression, and distant metastasis (DM). RESULTS: Median follow-up was 21.3 months. Two-year outcomes were as follows: 38% LRR, 31% in-field LRR, 52% DM, 62% any progression, and 47% OS (median survival 16.5 months). On univariable analysis, UICC T-stage and N-stage were not associated with any clinical outcome. UICC overall stage was only statistically associated with in-field LRR. One imaging feature (3D maximum tumor diameter) was found to be significantly associated with LRR (HR 1.10, p = 0.003), in-field LRR (HR 1.10, p = 0.007), DM (HR 1.10, p = 0.02), any progression (HR 1.10, p = 0.008), and OS (HR 1.10, p = 0.03). On multivariable analysis, this feature remained significantly associated with all outcomes. CONCLUSION: For LS-SCLC, quantitative CT-based volumetric tumor measurements were significantly associated with outcomes after CRT and may be better predictors of outcome than TNM stage. BioMed Central 2020-01-14 /pmc/articles/PMC6961251/ /pubmed/31937336 http://dx.doi.org/10.1186/s13014-020-1460-4 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Kamran, Sophia C. Coroller, Thibaud Milani, Nastaran Agrawal, Vishesh Baldini, Elizabeth H. Chen, Aileen B. Johnson, Bruce E. Kozono, David Franco, Idalid Chopra, Nitish Zeleznik, Roman Aerts, Hugo J. W. L. Mak, Raymond The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title | The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title_full | The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title_fullStr | The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title_full_unstemmed | The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title_short | The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
title_sort | impact of quantitative ct-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961251/ https://www.ncbi.nlm.nih.gov/pubmed/31937336 http://dx.doi.org/10.1186/s13014-020-1460-4 |
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