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Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Thyroid Nodules

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研究单位: [1]Tongji Hospital,Wuhan, Hubei, China, 430030 [2]Xinhua Hospital, Shanghai Jiao Tong University School of Medicine [3]Wuhan Hospital of Traditional Chinese Medicine [4]Macheng People's Hospital [5]Huangshi Central Hospital, China [6]Affiliated Hospital of Jiangsu University [7]The First People's Hospital of Yichang [8]The Second People's Hospital of Yichang [9]Xiangyang Central Hospital [10]The Second Hospital of Anhui Medical University [11]Anqing People's Hospital [12]Huainan People's Hospital [13]Taizhou Hospital [14]Wenzhou Central Hospital [15]Xuzhou First People's Hospital [16]The Central Hospital of Lishui City [17]Huai'an First People's Hospital [18]WISCO General Hospital [19]Jiangxia District First People's Hospital [20]Enshi State Central Hospital [21]Lianyungang Third People's Hospital [22]Xiangyang First People's Hospital

关键词: Artificial Intelligence Ultrasound Thyroid nodule ECI

研究目的:
The application of computer-aided diagnosis (CAD) technology "S-DetectTM" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Factor (ECI) technique, unlike conventional strain-elastic imaging techniques, can evaluate the elastic distribution in the region of interest. The purpose of the study was to evaluate the differential diagnosis value of ultrasound S-DetectTM technology for benign and malignant thyroid nodules and evaluate the consistency of ultrasound S-DetectTM technology and sonographer in the differential diagnosis of thyroid nodules and explore the differential diagnosis value of Samsung ultrasound ECI technology for benign and malignant thyroid nodules.

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