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超声人工智能对甲状腺髓样癌的诊断价值

Diagnostic value of ultrasonic artificial intelligence in medullary thyroid carcinoma
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摘要 目的:探讨超声人工智能(AI)对甲状腺髓样癌的诊断价值。方法:回顾分析2012年10月—2022年10月于海军军医大学第一附属医院经手术确诊的甲状腺髓样癌患者47例(甲状腺髓样癌组),并选取同期手术确诊的甲状腺乳头状癌患者94例(甲状腺乳头状癌组)作为对照组,比较AI对两组病灶的诊断符合率;同时,比较AI、医生对甲状腺髓样癌组病灶的诊断符合率。结果:AI对甲状腺髓样癌组的诊断符合率为51.1%,对甲状腺乳头状癌组的诊断符合率为88.3%,AI对两组的诊断符合率差异显著(P<0.001)。在甲状腺髓样癌组内,AI对甲状腺髓样癌诊断符合率为51.1%,医生对甲状腺髓样癌诊断符合率为72.3%,两种诊断方法对甲状腺髓样癌诊断符合率差异有统计学意义(P<0.05)。结论:现阶段的AI对甲状腺髓样癌的诊断价值仍有待提高。 Objective To investigate the diagnostic value of ultrasound artificial intelligence(AI) in medullary thyroid carcinoma.Methods Retrospective analysis of 47 patients with thyroid medullary carcinoma diagnosed through surgery at the First Affiliated Hospital of Naval Medical University from October 2012 to October 2022(thyroid medullary carcinoma group),and 94 patients with thyroid papillary carcinoma confirmed by surgety during the same period(thyroid papillary carcinoma group) were selected as the control group to compare the diagnostic accuracy of AI for the two groups of lesions;At the same time,comare the diagnostic accuracy of AI and doctors in the group of medullary thyroid cancer.Results The diagnostic coincidence rate of AI for medullary thyroid carcinoma group was 51.1%,and that for papillary thyroid carcinoma group was 88.3%.There was a statistical difference in the diagnostic coincidence rate between the two groups(P<0.001).In the medullary thyroid carcinoma group,the diagnostic coincidence rate of AI for medullary thyroid carcinoma was 51.1%,and the diagnostic coincidence rate of doctors for medullary thyroid carcinoma was 72.3%.There was a statistical difference in the diagnostic coincidence rate of medullary thyroid carcinoma between the two diagnostic methods(P<0.05).Conclusian The diagnostic value ofA I for medullary thyroid carcinoma remains to be improved.
作者 陈祖峰 陈铭 王韦 沈若宇 金修才 CHEN Zufeng;CHEN Ming;WANG Wei;SHEN Ruoyu;JIN Xiucai(Department of Ultrasound,The First Affiliated Hospital of Navy Military Medical University,Shanghai 200433,China)
出处 《影像研究与医学应用》 2024年第1期24-27,31,共5页 Journal of Imaging Research and Medical Applications
关键词 超声 人工智能 甲状腺髓样癌 甲状腺乳头状癌 甲状腺结节 Ultrasound Artificial intelligence Medullary thyroid carcinoma Papillary thyroid carcinoma Thyroid nodules
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