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Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?

OBJECTIVES: To evaluate (1) whether or not the addition of computer-assisted diagnosis (CAD) to 64-slice multidetector computed tomography (CT) can be used as a screening tool for detection of pulmonary nodules in routine CT chest examinations and (2) whether or not to advocate the incorporation of...

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Autores principales: Haider, Zishan, Idris, Muhammad, Memon, Wasim A, Kashif, Nazia, Idris, Sidra, Sajjad, Zafar, Akram, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3258010/
https://www.ncbi.nlm.nih.gov/pubmed/22267933
http://dx.doi.org/10.2147/IJGM.S26127
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author Haider, Zishan
Idris, Muhammad
Memon, Wasim A
Kashif, Nazia
Idris, Sidra
Sajjad, Zafar
Akram, Saeed
author_facet Haider, Zishan
Idris, Muhammad
Memon, Wasim A
Kashif, Nazia
Idris, Sidra
Sajjad, Zafar
Akram, Saeed
author_sort Haider, Zishan
collection PubMed
description OBJECTIVES: To evaluate (1) whether or not the addition of computer-assisted diagnosis (CAD) to 64-slice multidetector computed tomography (CT) can be used as a screening tool for detection of pulmonary nodules in routine CT chest examinations and (2) whether or not to advocate the incorporation of CAD as a screening tool into our daily practice. MATERIALS AND METHODS: A retrospective cross-sectional analysis of 109 consecutive patients who had all undergone routine contrast-enhanced CT chest examinations for indications other than lung cancer at the Radiology Department of Aga Khan University Hospital, Karachi, between November 2010 and January 2011. All examinations were evaluated in terms of the detection of pulmonary nodules by a consultant radiologist and CAD (ImageChecker CT Algorithm R2 Technology) software. The ability of CAD software to detect pulmonary nodules was evaluated against the reference standard. In addition, a chest radiologist also calculated the number of pulmonary nodules. The sensitivity and specificity of the CAD software were calculated against the reference standard by using a 2 × 2 table. The Mann–Whitney U test was applied to compare the performances of CAD and the radiologist. RESULTS: CAD detected 610 pulmonary nodules while the radiologist detected only 113. The reference standard declared 198 pulmonary nodules to be true nodules. CAD detected 95% of all true nodules (189/198), whereas the radiologist detected only 57% (113/198). In the detection of true pulmonary nodules, CAD had 98% sensitivity compared with the radiologist who had 57% sensitivity; the statistical difference between their performances had a P value <0.001. CONCLUSION: Considering the high sensitivity of CAD to detect nearly all true pulmonary nodules, we advocate its application as a screening tool in all CT chest examinations for the early detection of pulmonary nodules and lung carcinoma.
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spelling pubmed-32580102012-01-20 Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography? Haider, Zishan Idris, Muhammad Memon, Wasim A Kashif, Nazia Idris, Sidra Sajjad, Zafar Akram, Saeed Int J Gen Med Original Research OBJECTIVES: To evaluate (1) whether or not the addition of computer-assisted diagnosis (CAD) to 64-slice multidetector computed tomography (CT) can be used as a screening tool for detection of pulmonary nodules in routine CT chest examinations and (2) whether or not to advocate the incorporation of CAD as a screening tool into our daily practice. MATERIALS AND METHODS: A retrospective cross-sectional analysis of 109 consecutive patients who had all undergone routine contrast-enhanced CT chest examinations for indications other than lung cancer at the Radiology Department of Aga Khan University Hospital, Karachi, between November 2010 and January 2011. All examinations were evaluated in terms of the detection of pulmonary nodules by a consultant radiologist and CAD (ImageChecker CT Algorithm R2 Technology) software. The ability of CAD software to detect pulmonary nodules was evaluated against the reference standard. In addition, a chest radiologist also calculated the number of pulmonary nodules. The sensitivity and specificity of the CAD software were calculated against the reference standard by using a 2 × 2 table. The Mann–Whitney U test was applied to compare the performances of CAD and the radiologist. RESULTS: CAD detected 610 pulmonary nodules while the radiologist detected only 113. The reference standard declared 198 pulmonary nodules to be true nodules. CAD detected 95% of all true nodules (189/198), whereas the radiologist detected only 57% (113/198). In the detection of true pulmonary nodules, CAD had 98% sensitivity compared with the radiologist who had 57% sensitivity; the statistical difference between their performances had a P value <0.001. CONCLUSION: Considering the high sensitivity of CAD to detect nearly all true pulmonary nodules, we advocate its application as a screening tool in all CT chest examinations for the early detection of pulmonary nodules and lung carcinoma. Dove Medical Press 2011-12-06 /pmc/articles/PMC3258010/ /pubmed/22267933 http://dx.doi.org/10.2147/IJGM.S26127 Text en © 2011 Haider et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Haider, Zishan
Idris, Muhammad
Memon, Wasim A
Kashif, Nazia
Idris, Sidra
Sajjad, Zafar
Akram, Saeed
Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title_full Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title_fullStr Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title_full_unstemmed Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title_short Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
title_sort can computer assisted diagnosis (cad) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3258010/
https://www.ncbi.nlm.nih.gov/pubmed/22267933
http://dx.doi.org/10.2147/IJGM.S26127
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