Skip to content

Research and Development of Ultrasound Assisted Screening Technology for Breast Cancer based on AI Cloud Computing and Big Data

Research and Development of Ultrasound Assisted Screening Technology for Breast Cancer based on AI Cloud Computing and Big Data

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100047368
Enrollment
Unknown
Registered
2021-06-13
Start date
2021-07-01
Completion date
Unknown
Last updated
2022-02-07

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

Conditions

Breast mass

Interventions

Gold Standard:Histopathological results of physicians with more than 10 years of experience in breast pathology.
Index test:Ultrasound&#32
screening&#32
technology&#32
for&#32
cancer&#32
based&#32
on&#32
cloud&#32
computing&#32
and&#32

Sponsors

Peking University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Normal patients without disease (>2 years of negative follow-up history); 2. Patients with breast space-occupying lesions (non-cystic space-occupying lesions); 3. Newly diagnosed patients who have not received any treatment (chemotherapy, thermal ablation, needle biopsy, etc.) and have been clinically or pathologically diagnosed; 4. Aged >18 years.

Exclusion criteria

Exclusion criteria: Pregnant or lactating patients.

Design outcomes

Primary

MeasureTime frame
Breast imaging report and data system classification;SEN, SPE, ACC, AUC of ROC, PPV, NPV;

Secondary

MeasureTime frame
disease severity;the learning curve of doctors with different seniority;diagnostic cost;patient satisfaction and choice.;

Countries

China

Contacts

Public ContactSun Desheng

Peking University Shenzhen Hospital

szdssun@163.com+86 13510331808

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026