Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88763
Title: | The diagnostic efficiency of ultrasound computer-aided diagnosis in differentiating thyroid nodules : a systematic review and narrative synthesis | Authors: | Chambara, N Ying, M |
Issue Date: | Nov-2019 | Source: | Cancers, Nov. 2019, , v. 11, no. 11, 1759, p. 1-22 | Abstract: | Computer-aided diagnosis (CAD) techniques have emerged to complement qualitative assessment in the diagnosis of benign and malignant thyroid nodules. The aim of this review was to summarize the current evidence on the diagnostic performance of various ultrasound CAD in characterizing thyroid nodules. PUBMED, EMBASE and Cochrane databases were searched for studies published until August 2019. The Quality Assessment of Studies of Diagnostic Accuracy included in Systematic Review 2 (QUADAS-2) tool was used to assess the methodological quality of the studies. Reported diagnostic performance data were analyzed and discussed. Fourteen studies with 2232 patients and 2675 thyroid nodules met the inclusion criteria. The study quality based on QUADAS-2 assessment was moderate. At best performance, grey scale CAD had a sensitivity of 96.7% while Doppler CAD was 90%. Combined techniques of qualitative grey scale features and Doppler CAD assessment resulted in overall increased sensitivity (92%) and optimal specificity (85.1%). The experience of the CAD user, nodule size and the thyroid malignancy risk stratification system used for interpretation were the main potential factors affecting diagnostic performance outcomes. The diagnostic performance of CAD of thyroid ultrasound is comparable to that of qualitative visual assessment; however, combined techniques have the potential for better optimized diagnostic accuracy. | Keywords: | Computer-Aided diagnosis Thyroid nodules Grey scale and doppler ultrasound Thyroid imaging reporting and data system |
Publisher: | MDPI AG | Journal: | Cancers | EISSN: | 2072-6694 | DOI: | 10.3390/cancers11111759 | Rights: | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). The following publication Chambara, N.; Ying, M. The Diagnostic Efficiency of Ultrasound Computer–Aided Diagnosis in Differentiating Thyroid Nodules: A Systematic Review and Narrative Synthesis. Cancers 2019, 11, 1759 is available at https://dx.doi.org/10.3390/cancers11111759 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chambara_Ultrasound_Computer-Aided_Thyroid.pdf | 413.68 kB | Adobe PDF | View/Open |
Page views
31
Last Week
0
0
Last month
Citations as of May 5, 2024
Downloads
8
Citations as of May 5, 2024
SCOPUSTM
Citations
20
Citations as of Apr 26, 2024
WEB OF SCIENCETM
Citations
20
Citations as of May 2, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.