兰州大学循证社会科学交叉创新实验室 Innovation Laboratory of Evidence-based Social Sciences,Lanzhou University

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

Song, Bing
2019-07-01
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
Medicine
卷号:98|期号:29|页码:e16227
ISSN:0025-7974|收录类别:SCIE
DOI
10.1097/MD.0000000000016227
EISSN
1536-5964
出版日期
2019-07-01
资助信息
Natural Science Foundation of Gansu Province, China (17JR5RA246)
资助机构
国家自然科学基金委员会
相关链接
https://journals.lww.com/md-journal/fulltext/2019/07190/diagnostic_accuracy_of_different_computer_aided.8.aspx
语种
英文
国家
中国
学科领域
循证医学
被引频次(WOS)
8
来源机构
兰州大学循证社会科学研究中心
研究类型
Meta分析
关键词
computer-aided diagnosis system diagnosis machine learning meta-analysis thyroid nodule ultrasound
WOS学科分类
Medicine General & Internal