Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University1,000 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

1,000

Conditions

Breast Diseases Artificial Intelligence Dense Breast Density Predictive Cancer Model

Eligibility

Sex: FEMALEMin age: 18 YearsMax age: 80 Years

Medical Language ↔ Plain English

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

Locations (1)

Breast tumor center of Sun Yat-sen Memorial Hospital

Guangzhou, Guangdong, China

RECRUITING

Outcomes

Primary Outcomes

the predictive model's area under curve(AUC)

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).

Time frame: follow up for 2 year for individuals

Central Contacts

Yaping Yang, Doctor

CONTACT

86020-34071145 yangyap2@mail.sysu.edu.cn

Data from ClinicalTrials.gov

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