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Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer
Various radiological tools can predict the prognosis of non-small cell lung cancer (NSCLC). In this study, we evaluated the prognostic effect of different radiological tools such as whole tumor size (WTS), consolidation size (CS), consolidation tumor ratio (CTR), tumor disappearance ratio (TDR), med...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182523/ https://www.ncbi.nlm.nih.gov/pubmed/34164207 http://dx.doi.org/10.21037/jtd-20-3380 |
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author | Nakada, Takeo Kuroda, Hiroaki |
author_facet | Nakada, Takeo Kuroda, Hiroaki |
author_sort | Nakada, Takeo |
collection | PubMed |
description | Various radiological tools can predict the prognosis of non-small cell lung cancer (NSCLC). In this study, we evaluated the prognostic effect of different radiological tools such as whole tumor size (WTS), consolidation size (CS), consolidation tumor ratio (CTR), tumor disappearance ratio (TDR), mediastinal diameter (MD), and ground glass opacity (GGO) using high-resolution computed tomography (HRCT). We reviewed recent retrospective studies on the predictive effect of these radiological tools on disease-free survival (DFS) and overall survival (OS) in patients with T1N0-staged NSCLC. We searched PubMed and the British Library databases for the English literature published from January 2010 to December 2020 and generated a total of 32 publications (NSCLC, n=16; adenocarcinoma, n=16). The TNM classification version 7 was used in 18 studies, and version 8 in 14 studies. The evaluated radiological parameters were WTS, CS including T category, CTR, TDR, MD, presence of GGO, GGO ratio, and pure GGO. This review suggested that CS, MD, and the presence of GGO are optimal prognostic radiological tools for cT1N0-Staged NSCLC. CTR or TDR for part solid nodules (PSNs) is not a well-accepted prognostic factor. Further investigations are required to differentiate between benign scars and malignant components on HRCT and evaluate the prognosis of PSNs (1< CS ≤2 cm) with large WTS in the future. |
format | Online Article Text |
id | pubmed-8182523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-81825232021-06-22 Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer Nakada, Takeo Kuroda, Hiroaki J Thorac Dis Review Article Various radiological tools can predict the prognosis of non-small cell lung cancer (NSCLC). In this study, we evaluated the prognostic effect of different radiological tools such as whole tumor size (WTS), consolidation size (CS), consolidation tumor ratio (CTR), tumor disappearance ratio (TDR), mediastinal diameter (MD), and ground glass opacity (GGO) using high-resolution computed tomography (HRCT). We reviewed recent retrospective studies on the predictive effect of these radiological tools on disease-free survival (DFS) and overall survival (OS) in patients with T1N0-staged NSCLC. We searched PubMed and the British Library databases for the English literature published from January 2010 to December 2020 and generated a total of 32 publications (NSCLC, n=16; adenocarcinoma, n=16). The TNM classification version 7 was used in 18 studies, and version 8 in 14 studies. The evaluated radiological parameters were WTS, CS including T category, CTR, TDR, MD, presence of GGO, GGO ratio, and pure GGO. This review suggested that CS, MD, and the presence of GGO are optimal prognostic radiological tools for cT1N0-Staged NSCLC. CTR or TDR for part solid nodules (PSNs) is not a well-accepted prognostic factor. Further investigations are required to differentiate between benign scars and malignant components on HRCT and evaluate the prognosis of PSNs (1< CS ≤2 cm) with large WTS in the future. AME Publishing Company 2021-05 /pmc/articles/PMC8182523/ /pubmed/34164207 http://dx.doi.org/10.21037/jtd-20-3380 Text en 2021 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Review Article Nakada, Takeo Kuroda, Hiroaki Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title | Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title_full | Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title_fullStr | Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title_full_unstemmed | Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title_short | Narrative review of optimal prognostic radiological tools using computed tomography for T1N0-staged non-small cell lung cancer |
title_sort | narrative review of optimal prognostic radiological tools using computed tomography for t1n0-staged non-small cell lung cancer |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182523/ https://www.ncbi.nlm.nih.gov/pubmed/34164207 http://dx.doi.org/10.21037/jtd-20-3380 |
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