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Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density

Background and Objectives: The prognoses of lung cancer deteriorate dramatically as the cancer progresses through its stages. Therefore, early screening using techniques such as low-dose computed tomography (LDCT) is critical. However, the epidemiology of the association between the popularization o...

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Autores principales: Wang, Yao-Tung, Chen, Brian-Shiian, Wu, Han-Ru, Chang, Ya-Chuan, Yu, Chia-Ying, Sung, Wen-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967254/
https://www.ncbi.nlm.nih.gov/pubmed/36837522
http://dx.doi.org/10.3390/medicina59020322
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author Wang, Yao-Tung
Chen, Brian-Shiian
Wu, Han-Ru
Chang, Ya-Chuan
Yu, Chia-Ying
Sung, Wen-Wei
author_facet Wang, Yao-Tung
Chen, Brian-Shiian
Wu, Han-Ru
Chang, Ya-Chuan
Yu, Chia-Ying
Sung, Wen-Wei
author_sort Wang, Yao-Tung
collection PubMed
description Background and Objectives: The prognoses of lung cancer deteriorate dramatically as the cancer progresses through its stages. Therefore, early screening using techniques such as low-dose computed tomography (LDCT) is critical. However, the epidemiology of the association between the popularization of CT and the prognosis for lung cancer is not known. Materials and Methods: Data were obtained from GLOBOCAN and the health data and statistics of the World Health Organization. Mortality-to-incidence ratios (MIRs) and the changes in MIR over time (δMIR; calculated as the difference between MIRs in 2018 and 2012) were used to evaluate the correlation with CT density disparities via Spearman’s rank correlation coefficient. Results: Countries with zero CT density presented a relatively low incidence crude rate and a relatively high MIR in 2018 and a negative δMIR. Conversely, countries with a CT density over 30 had a positive δMIR. The CT density was significantly associated with the HDI score and MIR in 2018, whereas it demonstrated no association with MIR in 2012. The CT density and δMIR also showed a significant linear correlation. Conclusions: CT density was significantly associated with lung cancer MIR in 2018 and with δMIR, indicating favorable clinical outcomes in countries in which CT has become popularized.
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spelling pubmed-99672542023-02-26 Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density Wang, Yao-Tung Chen, Brian-Shiian Wu, Han-Ru Chang, Ya-Chuan Yu, Chia-Ying Sung, Wen-Wei Medicina (Kaunas) Article Background and Objectives: The prognoses of lung cancer deteriorate dramatically as the cancer progresses through its stages. Therefore, early screening using techniques such as low-dose computed tomography (LDCT) is critical. However, the epidemiology of the association between the popularization of CT and the prognosis for lung cancer is not known. Materials and Methods: Data were obtained from GLOBOCAN and the health data and statistics of the World Health Organization. Mortality-to-incidence ratios (MIRs) and the changes in MIR over time (δMIR; calculated as the difference between MIRs in 2018 and 2012) were used to evaluate the correlation with CT density disparities via Spearman’s rank correlation coefficient. Results: Countries with zero CT density presented a relatively low incidence crude rate and a relatively high MIR in 2018 and a negative δMIR. Conversely, countries with a CT density over 30 had a positive δMIR. The CT density was significantly associated with the HDI score and MIR in 2018, whereas it demonstrated no association with MIR in 2012. The CT density and δMIR also showed a significant linear correlation. Conclusions: CT density was significantly associated with lung cancer MIR in 2018 and with δMIR, indicating favorable clinical outcomes in countries in which CT has become popularized. MDPI 2023-02-09 /pmc/articles/PMC9967254/ /pubmed/36837522 http://dx.doi.org/10.3390/medicina59020322 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Yao-Tung
Chen, Brian-Shiian
Wu, Han-Ru
Chang, Ya-Chuan
Yu, Chia-Ying
Sung, Wen-Wei
Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title_full Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title_fullStr Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title_full_unstemmed Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title_short Favorable Mortality-to-Incidence Ratio Trends of Lung Cancer in Countries with High Computed Tomography Density
title_sort favorable mortality-to-incidence ratio trends of lung cancer in countries with high computed tomography density
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967254/
https://www.ncbi.nlm.nih.gov/pubmed/36837522
http://dx.doi.org/10.3390/medicina59020322
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