Remote Breast Cancer Screening Study
1 other identifier
observational
6,333
1 country
2
Brief Summary
A multi-center, prospective, cohort study to evaluate the efficiency of breast cancer screening based on Automated Breast Ultrasound (AB US) with remote reading mode.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2021
Longer than P75 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 23, 2020
CompletedFirst Posted
Study publicly available on registry
August 26, 2020
CompletedStudy Start
First participant enrolled
January 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2025
CompletedApril 30, 2024
April 1, 2024
3 years
August 23, 2020
April 28, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The performance of breast cancer screening based on AB US with remote reading mode
The performance of breast cancer screening based on AB US with remote reading mode will be evaluated by cancer detection rate, recall rate, sensitivity, specificity, positive predictive value, early detection of breast cancer, interval cancers and time for image acquisition and interpretation.
4 years
Secondary Outcomes (3)
Evaluate the performance of AI on breast cancer screening based on AB US with remote reading mode
4 years
Evaluate the performance of the image acquisition and interpretation modes in breast cancer screening based on AB US with remote reading mode
4 years
Evaluate the performance of breast cancer screening according to the breast US device
4 years
Study Arms (5)
Conventional-reading
Second-reading
Concurrent-reading
Tow-view-reading
Handheld US-screening
Interventions
Two radiologists interpret at least three views of each breast without AI independently.
One radiologist reads AB US images without AI first, then combines the indications of AI marks to make the final decision.
One radiologist identifies CAD marks first, then quickly browses the entire AB US examination to make the final decision.
Two radiologists interpret only two views of each breast without AI independently.
One radiologist screens the breast cancer using Handheld US and interprets images immediately.
Eligibility Criteria
5714 women are needed (at least 12 cancer cases are expected with 80% power and 20% dropout)
You may qualify if:
- Any age at 35 and over
- Screening breast cancer with AB US
- Obtaining written informed consent
You may not qualify if:
- symptoms of breast cancer
- surgical of breast within 12 months prior to the study
- known diagnosis breast cancer
- poor image quality
- follow-up was less than 12 months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
The First Affiliated Hospital of Fourth Military Medical University
Xi'an, Shaanxi, 710000, China
The First Affiliated Hospital of the Fourth Military Medical University
Xi'an, Shaanxi, China
Related Publications (1)
Dang X, Gao Y, Ju Y, Yuan X, Lin H, Ren Y, Xiao Y, Shu R, Gu X, Moon WK, Song H. Automated Breast Ultrasound With Remote Reading for Primary Breast Cancer Screening: A Prospective Study Involving 46 Community Health Centers in China. AJR Am J Roentgenol. 2025 Jan;224(1):e2431830. doi: 10.2214/AJR.24.31830. Epub 2024 Oct 23.
PMID: 39440797DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hongping Song, PHD,MD
Xijing hospital of The fourth military medical university
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
August 23, 2020
First Posted
August 26, 2020
Study Start
January 1, 2021
Primary Completion
December 31, 2023
Study Completion
August 1, 2025
Last Updated
April 30, 2024
Record last verified: 2024-04