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Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol

OBJECTIVE: The aim of this study was to determine the diagnostic accuracy of different computer-aided diagnostic (CAD) systems for thyroid nodules classification. METHODS: A systematic search of the literature was conducted from inception until March, 2019 using the PubMed, EMBASE, Web of science, a...

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Autores principales: Liu, Ruisheng, Li, Huijuan, Liang, Fuxiang, Yao, Liang, Liu, Jieting, Li, Meixuan, Cao, Liujiao, Song, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709132/
https://www.ncbi.nlm.nih.gov/pubmed/31335673
http://dx.doi.org/10.1097/MD.0000000000016227
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author Liu, Ruisheng
Li, Huijuan
Liang, Fuxiang
Yao, Liang
Liu, Jieting
Li, Meixuan
Cao, Liujiao
Song, Bing
author_facet Liu, Ruisheng
Li, Huijuan
Liang, Fuxiang
Yao, Liang
Liu, Jieting
Li, Meixuan
Cao, Liujiao
Song, Bing
author_sort Liu, Ruisheng
collection PubMed
description OBJECTIVE: The aim of this study was to determine the diagnostic accuracy of different computer-aided diagnostic (CAD) systems for thyroid nodules classification. METHODS: A systematic search of the literature was conducted from inception until March, 2019 using the PubMed, EMBASE, Web of science, and Cochrane library. Literature selection and data extraction were conducted by 2 independent reviewers. Numerical values for sensitivity and specificity were obtained from false negative (FN), false positive (FP), true negative (TN), and true positive (TP) rates, presented alongside graphical representations with boxes marking the values and horizontal lines showing the confidence intervals (CIs). Summary receiver operating characteristic (SROC) curves were applied to assess the performance of diagnostic tests. Data were processed using Review Manager 5.3 and Stata 15. The methodological quality of included studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. TRIAL REGISTRATION NUMBER: PROSPERO CRD42019132540
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spelling pubmed-67091322019-10-01 Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol Liu, Ruisheng Li, Huijuan Liang, Fuxiang Yao, Liang Liu, Jieting Li, Meixuan Cao, Liujiao Song, Bing Medicine (Baltimore) Research Article OBJECTIVE: The aim of this study was to determine the diagnostic accuracy of different computer-aided diagnostic (CAD) systems for thyroid nodules classification. METHODS: A systematic search of the literature was conducted from inception until March, 2019 using the PubMed, EMBASE, Web of science, and Cochrane library. Literature selection and data extraction were conducted by 2 independent reviewers. Numerical values for sensitivity and specificity were obtained from false negative (FN), false positive (FP), true negative (TN), and true positive (TP) rates, presented alongside graphical representations with boxes marking the values and horizontal lines showing the confidence intervals (CIs). Summary receiver operating characteristic (SROC) curves were applied to assess the performance of diagnostic tests. Data were processed using Review Manager 5.3 and Stata 15. The methodological quality of included studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. TRIAL REGISTRATION NUMBER: PROSPERO CRD42019132540 Wolters Kluwer Health 2019-07-19 /pmc/articles/PMC6709132/ /pubmed/31335673 http://dx.doi.org/10.1097/MD.0000000000016227 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle Research Article
Liu, Ruisheng
Li, Huijuan
Liang, Fuxiang
Yao, Liang
Liu, Jieting
Li, Meixuan
Cao, Liujiao
Song, Bing
Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title_full Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title_fullStr Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title_full_unstemmed Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title_short Diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: A systematic review and meta-analysis protocol
title_sort diagnostic accuracy of different computer-aided diagnostic systems for malignant and benign thyroid nodules classification in ultrasound images: a systematic review and meta-analysis protocol
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709132/
https://www.ncbi.nlm.nih.gov/pubmed/31335673
http://dx.doi.org/10.1097/MD.0000000000016227
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