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Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099074/ https://www.ncbi.nlm.nih.gov/pubmed/32218458 http://dx.doi.org/10.1038/s41598-020-62148-y |
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author | Murphy, Keelin Habib, Shifa Salman Zaidi, Syed Mohammad Asad Khowaja, Saira Khan, Aamir Melendez, Jaime Scholten, Ernst T. Amad, Farhan Schalekamp, Steven Verhagen, Maurits Philipsen, Rick H. H. M. Meijers, Annet van Ginneken, Bram |
author_facet | Murphy, Keelin Habib, Shifa Salman Zaidi, Syed Mohammad Asad Khowaja, Saira Khan, Aamir Melendez, Jaime Scholten, Ernst T. Amad, Farhan Schalekamp, Steven Verhagen, Maurits Philipsen, Rick H. H. M. Meijers, Annet van Ginneken, Bram |
author_sort | Murphy, Keelin |
collection | PubMed |
description | There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6 of CAD4TB was released in 2018 and is here tested on a fully independent dataset of 5565 CXR images with GeneXpert (Xpert) sputum test results available (854 Xpert positive subjects). A subset of 500 subjects (50% Xpert positive) was reviewed and annotated by 5 expert observers independently to obtain a radiological reference standard. The latest version of CAD4TB is found to outperform all previous versions in terms of area under receiver operating curve (ROC) with respect to both Xpert and radiological reference standards. Improvements with respect to Xpert are most apparent at high sensitivity levels with a specificity of 76% obtained at a fixed 90% sensitivity. When compared with the radiological reference standard, CAD4TB v6 also outperformed previous versions by a considerable margin and achieved 98% specificity at the 90% sensitivity setting. No substantial difference was found between the performance of CAD4TB v6 and any of the various expert observers against the Xpert reference standard. A cost and efficiency analysis on this dataset demonstrates that in a standard clinical situation, operating at 90% sensitivity, users of CAD4TB v6 can process 132 subjects per day at an average cost per screen of $5.95 per subject, while users of version 3 process only 85 subjects per day at a cost of $8.38 per subject. At all tested operating points version 6 is shown to be more efficient and cost effective than any other version. |
format | Online Article Text |
id | pubmed-7099074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70990742020-03-31 Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system Murphy, Keelin Habib, Shifa Salman Zaidi, Syed Mohammad Asad Khowaja, Saira Khan, Aamir Melendez, Jaime Scholten, Ernst T. Amad, Farhan Schalekamp, Steven Verhagen, Maurits Philipsen, Rick H. H. M. Meijers, Annet van Ginneken, Bram Sci Rep Article There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6 of CAD4TB was released in 2018 and is here tested on a fully independent dataset of 5565 CXR images with GeneXpert (Xpert) sputum test results available (854 Xpert positive subjects). A subset of 500 subjects (50% Xpert positive) was reviewed and annotated by 5 expert observers independently to obtain a radiological reference standard. The latest version of CAD4TB is found to outperform all previous versions in terms of area under receiver operating curve (ROC) with respect to both Xpert and radiological reference standards. Improvements with respect to Xpert are most apparent at high sensitivity levels with a specificity of 76% obtained at a fixed 90% sensitivity. When compared with the radiological reference standard, CAD4TB v6 also outperformed previous versions by a considerable margin and achieved 98% specificity at the 90% sensitivity setting. No substantial difference was found between the performance of CAD4TB v6 and any of the various expert observers against the Xpert reference standard. A cost and efficiency analysis on this dataset demonstrates that in a standard clinical situation, operating at 90% sensitivity, users of CAD4TB v6 can process 132 subjects per day at an average cost per screen of $5.95 per subject, while users of version 3 process only 85 subjects per day at a cost of $8.38 per subject. At all tested operating points version 6 is shown to be more efficient and cost effective than any other version. Nature Publishing Group UK 2020-03-26 /pmc/articles/PMC7099074/ /pubmed/32218458 http://dx.doi.org/10.1038/s41598-020-62148-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Murphy, Keelin Habib, Shifa Salman Zaidi, Syed Mohammad Asad Khowaja, Saira Khan, Aamir Melendez, Jaime Scholten, Ernst T. Amad, Farhan Schalekamp, Steven Verhagen, Maurits Philipsen, Rick H. H. M. Meijers, Annet van Ginneken, Bram Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title_full | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title_fullStr | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title_full_unstemmed | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title_short | Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system |
title_sort | computer aided detection of tuberculosis on chest radiographs: an evaluation of the cad4tb v6 system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099074/ https://www.ncbi.nlm.nih.gov/pubmed/32218458 http://dx.doi.org/10.1038/s41598-020-62148-y |
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