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Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population

Patients who survive an index lung cancer (ILC) after surgical resection continue to be at significant risk for a metachronous lung cancer (MLC). Indeed, this risk is much higher than the risk of developing an ILC in heavy smokers. There is currently little evidence upon which to base guidelines for...

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Autores principales: Kinsey, C. Matthew, Hamlington, Katharine L., O’Toole, Jacqueline, Stapleton, Renee, Bates, Jason H. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091818/
https://www.ncbi.nlm.nih.gov/pubmed/27806080
http://dx.doi.org/10.1371/journal.pone.0165471
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author Kinsey, C. Matthew
Hamlington, Katharine L.
O’Toole, Jacqueline
Stapleton, Renee
Bates, Jason H. T.
author_facet Kinsey, C. Matthew
Hamlington, Katharine L.
O’Toole, Jacqueline
Stapleton, Renee
Bates, Jason H. T.
author_sort Kinsey, C. Matthew
collection PubMed
description Patients who survive an index lung cancer (ILC) after surgical resection continue to be at significant risk for a metachronous lung cancer (MLC). Indeed, this risk is much higher than the risk of developing an ILC in heavy smokers. There is currently little evidence upon which to base guidelines for screening at-risk patients for MLC, and the risk-reward tradeoffs for screening this patient population are unknown. The goal of this investigation was to estimate the maximum mortality benefit of CT screening for MLC. We developed a computational model to estimate the maximum rates of CT detection of MLC and surgical resection to be expected in a given population as a function of time after resection of an ILC. Applying the model to a hypothetical high-risk population suggests that screening for MLC within 5 years after resection of an ILC may identify only a very small number of treatable cancers. The risk of death from a potentially resectable MLC increases dramatically past this point, however, suggesting that screening after 5 years is imperative. The model also predicts a substantial detection gap for MLC that demonstrates the benefit to be gained as more sensitive screening methods are developed.
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spelling pubmed-50918182016-11-15 Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population Kinsey, C. Matthew Hamlington, Katharine L. O’Toole, Jacqueline Stapleton, Renee Bates, Jason H. T. PLoS One Research Article Patients who survive an index lung cancer (ILC) after surgical resection continue to be at significant risk for a metachronous lung cancer (MLC). Indeed, this risk is much higher than the risk of developing an ILC in heavy smokers. There is currently little evidence upon which to base guidelines for screening at-risk patients for MLC, and the risk-reward tradeoffs for screening this patient population are unknown. The goal of this investigation was to estimate the maximum mortality benefit of CT screening for MLC. We developed a computational model to estimate the maximum rates of CT detection of MLC and surgical resection to be expected in a given population as a function of time after resection of an ILC. Applying the model to a hypothetical high-risk population suggests that screening for MLC within 5 years after resection of an ILC may identify only a very small number of treatable cancers. The risk of death from a potentially resectable MLC increases dramatically past this point, however, suggesting that screening after 5 years is imperative. The model also predicts a substantial detection gap for MLC that demonstrates the benefit to be gained as more sensitive screening methods are developed. Public Library of Science 2016-11-02 /pmc/articles/PMC5091818/ /pubmed/27806080 http://dx.doi.org/10.1371/journal.pone.0165471 Text en © 2016 Kinsey 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
Kinsey, C. Matthew
Hamlington, Katharine L.
O’Toole, Jacqueline
Stapleton, Renee
Bates, Jason H. T.
Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title_full Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title_fullStr Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title_full_unstemmed Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title_short Predicting the Mortality Benefit of CT Screening for Second Lung Cancer in a High-Risk Population
title_sort predicting the mortality benefit of ct screening for second lung cancer in a high-risk population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5091818/
https://www.ncbi.nlm.nih.gov/pubmed/27806080
http://dx.doi.org/10.1371/journal.pone.0165471
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