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Computed tomography-guided lung biopsy for molecular tests: a meta-analysis
INTRODUCTION: Computed tomography (CT)-guided lung biopsy has been widely used for molecular testing. AIM: To evaluate the potential clinical effectiveness of computed tomography (CT)-guided lung biopsy in molecular tests. MATERIAL AND METHODS: We searched the related studies from the PubMed, Embase...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290401/ https://www.ncbi.nlm.nih.gov/pubmed/35892000 http://dx.doi.org/10.5114/kitp.2022.117498 |
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author | Zhang, Jian-Hua Xia, Feng-Fei Yang, Xiao-Shan Li, Yu |
author_facet | Zhang, Jian-Hua Xia, Feng-Fei Yang, Xiao-Shan Li, Yu |
author_sort | Zhang, Jian-Hua |
collection | PubMed |
description | INTRODUCTION: Computed tomography (CT)-guided lung biopsy has been widely used for molecular testing. AIM: To evaluate the potential clinical effectiveness of computed tomography (CT)-guided lung biopsy in molecular tests. MATERIAL AND METHODS: We searched the related studies from the PubMed, Embase, and Cochrane Library until July 2021. The endpoints included adequacy rates for molecular tests, positive rates of epidermal growth factor receptor (EGFR) mutations, anaplastic lymphoma kinase (ALK) translocation, and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations. RESULTS: Initially, we were able to identify 1783 potentially relevant studies, among which only 12 were ultimately included in the present meta-analysis. All the studies were retrospective in nature. A total of 2559 patients underwent CT-guided lung biopsy and 1414 of them received molecular testing. We found that the pooled adequacy rate for molecular tests, positive rate of EGFR mutations, and positive rate of ALK translocation were 95%, 49%, and 7%, respectively. Significant heterogeneity was detected in the endpoints of adequacy rate for molecular tests (I(2) = 86.2%) and positive rate of EGFR mutations (I(2) = 77.7%). We did not identify any variables that could significantly influence the adequacy rate for molecular tests and positive rate of EGFR mutations. A high risk of publication bias was also found in the endpoint of adequacy rate for molecular tests. CONCLUSIONS: CT-guided lung biopsy can serve as an effective method to provide sufficient lung cancer samples for molecular testing. The EGFR gene was found to be the most frequently mutated during the analysis. |
format | Online Article Text |
id | pubmed-9290401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-92904012022-07-25 Computed tomography-guided lung biopsy for molecular tests: a meta-analysis Zhang, Jian-Hua Xia, Feng-Fei Yang, Xiao-Shan Li, Yu Kardiochir Torakochirurgia Pol Original Paper INTRODUCTION: Computed tomography (CT)-guided lung biopsy has been widely used for molecular testing. AIM: To evaluate the potential clinical effectiveness of computed tomography (CT)-guided lung biopsy in molecular tests. MATERIAL AND METHODS: We searched the related studies from the PubMed, Embase, and Cochrane Library until July 2021. The endpoints included adequacy rates for molecular tests, positive rates of epidermal growth factor receptor (EGFR) mutations, anaplastic lymphoma kinase (ALK) translocation, and Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations. RESULTS: Initially, we were able to identify 1783 potentially relevant studies, among which only 12 were ultimately included in the present meta-analysis. All the studies were retrospective in nature. A total of 2559 patients underwent CT-guided lung biopsy and 1414 of them received molecular testing. We found that the pooled adequacy rate for molecular tests, positive rate of EGFR mutations, and positive rate of ALK translocation were 95%, 49%, and 7%, respectively. Significant heterogeneity was detected in the endpoints of adequacy rate for molecular tests (I(2) = 86.2%) and positive rate of EGFR mutations (I(2) = 77.7%). We did not identify any variables that could significantly influence the adequacy rate for molecular tests and positive rate of EGFR mutations. A high risk of publication bias was also found in the endpoint of adequacy rate for molecular tests. CONCLUSIONS: CT-guided lung biopsy can serve as an effective method to provide sufficient lung cancer samples for molecular testing. The EGFR gene was found to be the most frequently mutated during the analysis. Termedia Publishing House 2022-06-29 2022-06 /pmc/articles/PMC9290401/ /pubmed/35892000 http://dx.doi.org/10.5114/kitp.2022.117498 Text en Copyright: © 2022 Polish Society of Cardiothoracic Surgeons (Polskie Towarzystwo KardioTorakochirurgów) and the editors of the Polish Journal of Cardio-Thoracic Surgery (Kardiochirurgia i Torakochirurgia Polska) https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
spellingShingle | Original Paper Zhang, Jian-Hua Xia, Feng-Fei Yang, Xiao-Shan Li, Yu Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title | Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title_full | Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title_fullStr | Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title_full_unstemmed | Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title_short | Computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
title_sort | computed tomography-guided lung biopsy for molecular tests: a meta-analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290401/ https://www.ncbi.nlm.nih.gov/pubmed/35892000 http://dx.doi.org/10.5114/kitp.2022.117498 |
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