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A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound

Authors
 Sunyoung Kang  ;  Eunjung Lee  ;  Chae Won Chung  ;  Han Na Jang  ;  Joon Ho Moon  ;  Yujin Shin  ;  Kyuho Kim  ;  Ying Li  ;  Soo Myoung Shin  ;  Yoo Hyung Kim  ;  Seul Ki Kwon  ;  Chang Ho Ahn  ;  Kyong Yeun Jung  ;  A Ram Hong  ;  Young Joo Park  ;  Do Joon Park  ;  Jin Young Kwak  ;  Sun Wook Cho 
Citation
 SCIENTIFIC REPORTS, Vol.11(1) : 20448, 2021-10 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2021-10
Abstract
Ultrasonography (US) is the primary diagnostic tool for thyroid nodules, while the accuracy is operator-dependent. It is widely used not only by radiologists but also by physicians with different levels of experience. The aim of this study was to investigate whether US with computer-aided diagnosis (CAD) has assisting roles to physicians in the diagnosis of thyroid nodules. 451 thyroid nodules evaluated by fine-needle aspiration cytology following surgery were included. 300 (66.5%) of them were diagnosed as malignancy. Physicians with US experience less than 1 year (inexperienced, n = 10), or more than 5 years (experienced, n = 3) reviewed the US images of thyroid nodules with or without CAD assistance. The diagnostic performance of CAD was comparable to that of the experienced group, and better than those of the inexperienced group. The AUC of the CAD for conventional PTC was higher than that for FTC and follicular variant PTC (0.925 vs. 0.499), independent of tumor size. CAD assistance significantly improved diagnostic performance in the inexperienced group, but not in the experienced groups. In conclusion, the CAD system showed good performance in the diagnosis of conventional PTC. CAD assistance improved the diagnostic performance of less experienced physicians in US, especially in diagnosis of conventional PTC.
Files in This Item:
T202104947.pdf Download
DOI
10.1038/s41598-021-99983-6
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kwak, Jin Young(곽진영) ORCID logo https://orcid.org/0000-0002-6212-1495
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/187028
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