Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics

Development of an Artificial Intelligence Precise Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04535466

Enrollment

1000

Registered

2020-09-02

Start date

2020-09-01

Completion date

2020-09-01

Last updated

2020-09-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, Breast Diseases, Dense Breast Density, Predictive Cancer Model

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

FEMALE

Age

18 Years to 80 Years

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
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).

Countries

China

Contacts

Primary ContactYaping Yang, Doctor

yangyap2@mail.sysu.edu.cn86020-34071145

Outcome results