软件辅助对基于2017版ACR TI-RADS的甲状腺结节良恶性评估的效果观察
摘要
目的观察软件辅助对基于2017版ACR TI-RADS进行甲状腺良恶性分级评估的效果。方法本研究设计为自身对照测试。本研究设计了两款软件,一款用于临床应用,一款用于测试辅助效果。测试版软件严格按照自身对照研究的要求来设计。研究纳入12名超声医师和30幅包含了不同良恶性风险分类的甲状腺结节的图片。超声医师分别在软件辅助和非软件辅助的情况下对这些甲状腺结节进行良恶性风险评估。最后研究比较了在软件辅助前后超声医师给出的甲状腺结节良恶性分级和诊疗建议的准确率。结果在没有软件辅助时,超声医师甲状腺结节良恶性分级准确率为(81.95±9.69)%;在软件辅助下,超声医师甲状腺结节良恶性分级准确率为(95.00±6.28)%。两者差异有统计学意义(P<0.05)。在没有软件辅助时,超声医师诊疗建议准确率为(84.17±11.73)%;在软件辅助下,超声医师诊疗建议准确率为(98.33±3.33)%。两者差异有统计学意义(P <0.05)。结论使用基于2017版ACR TI-RADS的辅助诊断软件可以极大减轻超声医生的心算负担,有效提高良恶性分级和诊疗建议的准确率。
引文
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[4]Hoang JK,Lee WK,Lee M,et al.US features of thyroid malignancy:pearlsand pitfalls[J]Radiographics,2007,27(3):847-865.
[5]Tessler FN,Middleton WD,Grant EG,et al.ACR Thyroid imaging,reporting and data system(TI-RADS):White paper of the ACR TI-RADS committee[J].Am Coll Radiol,2017,14(5):587-595.
[6]Grant EG,Tessler FN,Hoang JK,et al.Thyroid ultrasound reporting lexicon:White paper of the ACR thyroid imaging,reporting and data system(TIRADS)committee[J].J Am Coll Radiol,2015,12(12):1272-1279.
[7]Hoang JK,Middleton WD,Farjat AE,et al.Reduction in thyroid module biopsies and improved accuracy with American college of radiology thyroid imaging reporting and data system[J].Radiology,2018,287(1):185-193.