# Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.

> **NCT04270032** · — · UNKNOWN · sponsor: **The First Affiliated Hospital of the Fourth Military Medical University** · enrollment: 10000 (estimated)

## Conditions studied

- Breast Cancer

## Interventions

- **DIAGNOSTIC_TEST:** ABUS and HHUS

## Key facts

- **NCT ID:** NCT04270032
- **Lead sponsor:** The First Affiliated Hospital of the Fourth Military Medical University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2020-02-01
- **Primary completion:** 2024-09-01
- **Final completion:** 2024-09-01
- **Target enrollment:** 10000 (ESTIMATED)
- **Last updated:** 2022-01-27

## Collaborators

- [object Object]
- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04270032

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04270032, "Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT04270032. Licensed CC0.

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