Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics

• Conditions: Breast Diseases; Artificial Intelligence; Dense Breast Density; Predictive Cancer Model

• Registration Number: NCT04535466
• Lead Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Brief Summary

It is a prospective, observational cohort study of patients with dense breast tissue. The study was based on the radiomics and other clinicopathological information of patients to establish the diagnostic system for breast disease by using artificial intelligence.

Detailed Description

Not available

Study Timeline

• Status Verified: 2020-08
• Study First Submitted: 2020-08-21
• Study First Submitted QC: 2020-08-31
• Last Update Submitted: 2020-08-31
• Study Start: 2020-09-01
• Primary Completion: 2020-09-01
• Study Completion: 2020-09-01
• Study First Posted: 2020-09-02
• Last Update Posted: 2020-09-02

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: Female
• Target Recruitment: 1000

Inclusion Criteria

• Female patients with dense breast density tissue
• Digital breast tomosynthesis was performed
• Breast ultrasound examination was performed
• Pathologic examination of breast lesions was performed

Exclusion Criteria

• Incomplete clinicopathologic data
• Female patients with fatty glands of the breast

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
the predictive model's area under curve(AUC)	follow up for 2 year for individuals	To assess the predictive accuracy of the radiomic-based and clinical-based model by using operating characteristic curve (ROC) analysis and calculating the area under the curves (AUC).

Trial Locations

Locations (1)

Breast tumor center of Sun Yat-sen Memorial Hospital; 🇨🇳 Guangzhou, Guangdong, China