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计算机辅助诊断系统对经验较少的超声医师在甲状腺结节诊断中的有益作用。

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

机构信息

Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

出版信息

Sci Rep. 2021 Oct 14;11(1):20448. doi: 10.1038/s41598-021-99983-6.

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.

摘要

超声检查(US)是甲状腺结节的主要诊断工具,但其准确性取决于操作者。它不仅被放射科医生广泛使用,也被不同经验水平的医生使用。本研究旨在探讨计算机辅助诊断(CAD)在甲状腺结节诊断中对医生是否具有辅助作用。共纳入 451 例经手术细针抽吸细胞学检查评估的甲状腺结节,其中 300 例(66.5%)诊断为恶性肿瘤。有不到 1 年(经验不足组,n=10)或超过 5 年(经验丰富组,n=3)超声经验的医生查看了有或无 CAD 辅助的甲状腺结节的 US 图像。CAD 的诊断性能与经验丰富组相当,优于经验不足组。CAD 对传统 PTC 的 AUC 高于 FTC 和滤泡变异型 PTC(0.925 比 0.499),与肿瘤大小无关。CAD 辅助显著提高了经验不足组的诊断性能,但对经验丰富组无显著影响。总之,该 CAD 系统在常规 PTC 的诊断中表现出良好的性能。CAD 辅助提高了经验不足的医生在 US 中的诊断性能,尤其是在诊断常规 PTC 方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f10/8516898/3d8f358f0c8b/41598_2021_99983_Fig1_HTML.jpg

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