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

Summary

The application of computer-aided diagnosis (CAD) technology "S-Detect" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Index (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-Detect technology for benign and malignant breast nodules and evaluate the differential diagnosis consistency of the ultrasound S-Detect technique and the examiner for benign and malignant breast nodules and explore the differential diagnosis value of Samsung ultrasound elastic contrast Index (ECI) technique for benign and malignant breast nodules.

Conditions

• Breast Cancer

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

• Taizhou Hospital

  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

• 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

• First People's Hospital of Jiangxia District, Wuhan City

  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

FEMALE

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2019-01-18

Primary Completion

2020-01-18

Completion

2020-02-18

FDA Device

Yes

Countries

• China

Study Locations