Research on the Whole-Process Intelligent Diagnosis and Treatment of Digital Breast Tomosynthesis Based on Deep Learning

This study aims to construct a multi-task deep learning model system to mine deep features in DBT images, so as to achieve accurate detection of breast lesions, differential diagnosis of benign and malignant (especially for the challenging BI-RADS 4A category), prediction of molecular subtypes, and evaluation of neoadjuvant chemotherapy (NAC) efficacy, providing an imaging basis for precision medicine.

NCT Number	NCT07605195
Lead Sponsor	Yunnan Cancer Hospital
Conditions	Breast Carcinoma
Enrollment	5,000 participants
Start Date	2026-05-20
Primary Completion	2026-12-31 (estimated)
Study Completion	2029-06-30 (estimated)
Updated on ClinicalTrials.gov	2026-05-22