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Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China
OBJECTIVE: To investigate the feasibility of a CAD system S-detect on a database from a single Chinese medical center. MATERIALS AND METHODS: An experienced radiologist performed breast US examinations and made assessments of 266 consecutive breast lesions in 227 patients. S-detect classified the le...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350640/ https://www.ncbi.nlm.nih.gov/pubmed/30774422 http://dx.doi.org/10.2147/CMAR.S190966 |
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author | Zhao, Chenyang Xiao, Mengsu Jiang, Yuxin Liu, He Wang, Ming Wang, Hongyan Sun, Qiang Zhu, Qingli |
author_facet | Zhao, Chenyang Xiao, Mengsu Jiang, Yuxin Liu, He Wang, Ming Wang, Hongyan Sun, Qiang Zhu, Qingli |
author_sort | Zhao, Chenyang |
collection | PubMed |
description | OBJECTIVE: To investigate the feasibility of a CAD system S-detect on a database from a single Chinese medical center. MATERIALS AND METHODS: An experienced radiologist performed breast US examinations and made assessments of 266 consecutive breast lesions in 227 patients. S-detect classified the lesions automatically in a dichotomous form. An in-training resident who was blind to both the US diagnostic results and histological results reviewed the images afterward. The final histological results were considered as the diagnostic gold standard. The diagnostic performances and interrater agreements were analyzed. RESULTS: A total of 266 focal breast lesions (161 benign lesions and 105 malignant lesions) were assessed in this study. S-detect had a lower sensitivity (87.07%) and a higher specificity (72.27%) compared with the experienced radiologist (sensitivity 98.1% and specificity 65.43%). The sensitivity and specificity of S-detect were better than that of the resident (sensitivity 82.86% and specificity 68.94%). The AUC value of S-detect (0.807) showed no significant difference with the experienced radiologist (0.817) and was higher than that of the resident (0.758). S-detect had moderate agreement with the experienced radiologist. CONCLUSION: In this single-center study, a high level of diagnostic performance of S-detect on 266 breast lesions of Chinese women was observed. S-detect had almost equal diagnostic capacity with an experienced radiologist and performed better than a novice reader. S-detect was also distinguished for its high specificity. These results supported the feasibility of S-detect in aiding the diagnosis of breast lesions on an independent database. |
format | Online Article Text |
id | pubmed-6350640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63506402019-02-15 Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China Zhao, Chenyang Xiao, Mengsu Jiang, Yuxin Liu, He Wang, Ming Wang, Hongyan Sun, Qiang Zhu, Qingli Cancer Manag Res Original Research OBJECTIVE: To investigate the feasibility of a CAD system S-detect on a database from a single Chinese medical center. MATERIALS AND METHODS: An experienced radiologist performed breast US examinations and made assessments of 266 consecutive breast lesions in 227 patients. S-detect classified the lesions automatically in a dichotomous form. An in-training resident who was blind to both the US diagnostic results and histological results reviewed the images afterward. The final histological results were considered as the diagnostic gold standard. The diagnostic performances and interrater agreements were analyzed. RESULTS: A total of 266 focal breast lesions (161 benign lesions and 105 malignant lesions) were assessed in this study. S-detect had a lower sensitivity (87.07%) and a higher specificity (72.27%) compared with the experienced radiologist (sensitivity 98.1% and specificity 65.43%). The sensitivity and specificity of S-detect were better than that of the resident (sensitivity 82.86% and specificity 68.94%). The AUC value of S-detect (0.807) showed no significant difference with the experienced radiologist (0.817) and was higher than that of the resident (0.758). S-detect had moderate agreement with the experienced radiologist. CONCLUSION: In this single-center study, a high level of diagnostic performance of S-detect on 266 breast lesions of Chinese women was observed. S-detect had almost equal diagnostic capacity with an experienced radiologist and performed better than a novice reader. S-detect was also distinguished for its high specificity. These results supported the feasibility of S-detect in aiding the diagnosis of breast lesions on an independent database. Dove Medical Press 2019-01-23 /pmc/articles/PMC6350640/ /pubmed/30774422 http://dx.doi.org/10.2147/CMAR.S190966 Text en © 2019 Zhao et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Zhao, Chenyang Xiao, Mengsu Jiang, Yuxin Liu, He Wang, Ming Wang, Hongyan Sun, Qiang Zhu, Qingli Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title | Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title_full | Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title_fullStr | Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title_full_unstemmed | Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title_short | Feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of S-detect from a single center in China |
title_sort | feasibility of computer-assisted diagnosis for breast ultrasound: the results of the diagnostic performance of s-detect from a single center in china |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350640/ https://www.ncbi.nlm.nih.gov/pubmed/30774422 http://dx.doi.org/10.2147/CMAR.S190966 |
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