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

Summary

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.

Conditions

• Thyroid Nodule

Interventions

DEVICE

Ultrasound diagnosis

Ultrasound diagnosis of lesions with Samsung S-Detect and ECI technology

Sponsors & Collaborators

• Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

  collaborator OTHER

• Wuhan Hospital of Traditional Chinese Medicine

  collaborator OTHER

• Macheng People's Hospital

  collaborator UNKNOWN

• Huangshi Central Hospital

  collaborator OTHER

• Affiliated Hospital of Jiangsu University

  collaborator OTHER

• The First People's Hospital of Yichang

  collaborator UNKNOWN

• Yichang Second People's Hospital

  collaborator OTHER

• Xiangyang Central Hospital

  collaborator OTHER

• The Second Hospital of Anhui Medical University

  collaborator OTHER

• Anqing People's Hospital

  collaborator UNKNOWN

• Huainan People's Hospital

  collaborator UNKNOWN

• Taizhou Hospital

  collaborator OTHER

• Wenzhou Central Hospital

  collaborator OTHER

• Xuzhou First People's Hospital

  collaborator UNKNOWN

• The Central Hospital of Lishui City

  collaborator OTHER

• Huai'an First People's Hospital

  collaborator OTHER

• WISCO General Hospital

  collaborator UNKNOWN

• Jiangxia District First People's Hospital

  collaborator UNKNOWN

• Enshi State Central Hospital

  collaborator UNKNOWN

• Lianyungang Third People's Hospital

  collaborator UNKNOWN

• First People's Hospital of Xianyang

  collaborator OTHER

• Xin-Wu Cui

  lead OTHER

Principal Investigators

• Xin-Wu Cui, PhD,MD · Tongji Hospital

• You-Bin Deng, PhD,MD · Tongji Hospital

Eligibility

Min Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2019-01-18

Primary Completion

2020-01-18

Completion

2020-03-18

FDA Device

Yes

Countries

• China

Study Locations