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Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial

Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-yea...

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Autores principales: Sabia, Federica, Balbi, Maurizio, Ledda, Roberta E., Milanese, Gianluca, Ruggirello, Margherita, Valsecchi, Camilla, Marchianò, Alfonso, Sverzellati, Nicola, Pastorino, Ugo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187890/
https://www.ncbi.nlm.nih.gov/pubmed/37192186
http://dx.doi.org/10.1371/journal.pone.0285593
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author Sabia, Federica
Balbi, Maurizio
Ledda, Roberta E.
Milanese, Gianluca
Ruggirello, Margherita
Valsecchi, Camilla
Marchianò, Alfonso
Sverzellati, Nicola
Pastorino, Ugo
author_facet Sabia, Federica
Balbi, Maurizio
Ledda, Roberta E.
Milanese, Gianluca
Ruggirello, Margherita
Valsecchi, Camilla
Marchianò, Alfonso
Sverzellati, Nicola
Pastorino, Ugo
author_sort Sabia, Federica
collection PubMed
description Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-year mortality in the Multicentric Italian Lung Detection (MILD) LCS trial. The study included 2239 volunteers of the MILD trial who underwent a baseline LDCT from September 2005 to January 2011, with a median follow-up of 190 months. The CAC score was measured by a commercially available fully automated artificial intelligence (AI) software and stratified into five strata: 0, 1–10, 11–100, 101–400, and > 400. Twelve-year all-cause mortality was 8.5% (191/2239) overall, 3.2% with CAC = 0, 4.9% with CAC = 1–10, 8.0% with CAC = 11–100, 11.5% with CAC = 101–400, and 17% with CAC > 400. In Cox proportional hazards regression analysis, CAC > 400 was associated with a higher 12-year all-cause mortality both in a univariate model (hazard ratio, HR, 5.75 [95% confidence interval, CI, 2.08–15.92] compared to CAC = 0) and after adjustment for baseline confounders (HR, 3.80 [95%CI, 1.35–10.74] compared to CAC = 0). All-cause mortality significantly increased with increasing CAC (7% in CAC ≤ 400 vs. 17% in CAC > 400, Log-Rank p-value <0.001). Non-cancer at 12 years mortality was 3% (67/2239) overall, 0.8% with CAC = 0, 1.0% with CAC = 1–10, 2.9% with CAC = 11–100, 3.6% with CAC = 101–400, and 8.2% with CAC > 400 (Grey’s test p < 0.001). In Fine and Gray’s competing risk model, CAC > 400 predicted 12-year non-cancer mortality in a univariate model (sub-distribution hazard ratio, SHR, 10.62 [95% confidence interval, CI, 1.43–78.98] compared to CAC = 0), but the association was no longer significant after adjustment for baseline confounders. In conclusion, fully automated CAC scoring was effective in predicting all-cause mortality at 12 years in a LCS setting.
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spelling pubmed-101878902023-05-17 Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial Sabia, Federica Balbi, Maurizio Ledda, Roberta E. Milanese, Gianluca Ruggirello, Margherita Valsecchi, Camilla Marchianò, Alfonso Sverzellati, Nicola Pastorino, Ugo PLoS One Research Article Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-year mortality in the Multicentric Italian Lung Detection (MILD) LCS trial. The study included 2239 volunteers of the MILD trial who underwent a baseline LDCT from September 2005 to January 2011, with a median follow-up of 190 months. The CAC score was measured by a commercially available fully automated artificial intelligence (AI) software and stratified into five strata: 0, 1–10, 11–100, 101–400, and > 400. Twelve-year all-cause mortality was 8.5% (191/2239) overall, 3.2% with CAC = 0, 4.9% with CAC = 1–10, 8.0% with CAC = 11–100, 11.5% with CAC = 101–400, and 17% with CAC > 400. In Cox proportional hazards regression analysis, CAC > 400 was associated with a higher 12-year all-cause mortality both in a univariate model (hazard ratio, HR, 5.75 [95% confidence interval, CI, 2.08–15.92] compared to CAC = 0) and after adjustment for baseline confounders (HR, 3.80 [95%CI, 1.35–10.74] compared to CAC = 0). All-cause mortality significantly increased with increasing CAC (7% in CAC ≤ 400 vs. 17% in CAC > 400, Log-Rank p-value <0.001). Non-cancer at 12 years mortality was 3% (67/2239) overall, 0.8% with CAC = 0, 1.0% with CAC = 1–10, 2.9% with CAC = 11–100, 3.6% with CAC = 101–400, and 8.2% with CAC > 400 (Grey’s test p < 0.001). In Fine and Gray’s competing risk model, CAC > 400 predicted 12-year non-cancer mortality in a univariate model (sub-distribution hazard ratio, SHR, 10.62 [95% confidence interval, CI, 1.43–78.98] compared to CAC = 0), but the association was no longer significant after adjustment for baseline confounders. In conclusion, fully automated CAC scoring was effective in predicting all-cause mortality at 12 years in a LCS setting. Public Library of Science 2023-05-16 /pmc/articles/PMC10187890/ /pubmed/37192186 http://dx.doi.org/10.1371/journal.pone.0285593 Text en © 2023 Sabia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Sabia, Federica
Balbi, Maurizio
Ledda, Roberta E.
Milanese, Gianluca
Ruggirello, Margherita
Valsecchi, Camilla
Marchianò, Alfonso
Sverzellati, Nicola
Pastorino, Ugo
Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title_full Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title_fullStr Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title_full_unstemmed Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title_short Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial
title_sort fully automated calcium scoring predicts all-cause mortality at 12 years in the mild lung cancer screening trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187890/
https://www.ncbi.nlm.nih.gov/pubmed/37192186
http://dx.doi.org/10.1371/journal.pone.0285593
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