Remote Breast Cancer Screening Study

Remote Breast Cancer Screening Based on Automated Breast Ultrasound Among Chinese Women: a Multi-center, Prospective, Cohort Study

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.

Study Overview

Detailed Description

The burden of breast cancer incidence and mortality is rapidly growing during the past two decades in China. Screening has been proven to be effective in detecting early-stage disease and reducing mortality of 10% to 39% due to breast cancer. US is used as a primary screening method among Chinese women because Asian women characteristically have higher-density breasts than other ethnic groups. However, US is dependent on operator experience, lack of standardized scanning protocols, limited ultrasound physician and heavy workloads. In order to improve the efficiency and quality of breast cancer screening among Chinese women, a new remote screening pattern based on AB US was proposed and studied for breast cancer in China. This multi-center, prospective, cohort study aims to evaluate the efficiency of breast cancer screening based on AB US with remote reading mode. In addition, we will also explore the practice value of AI on AB US screening and efficient image acquiring and reading modes of AB US.

Study Type

Observational

Enrollment (Actual)

6333

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Shaanxi
      • Xi'an, Shaanxi, China, 710000
        • The First Affiliated Hospital of Fourth Military Medical University
      • Xi'an, Shaanxi, China
        • The First Affiliated Hospital of the Fourth Military Medical University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

35 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

5714 women are needed (at least 12 cancer cases are expected with 80% power and 20% dropout)

Description

Inclusion Criteria:

  1. Any age at 35 and over
  2. Screening breast cancer with AB US
  3. Obtaining written informed consent

Exclusion Criteria:

  1. symptoms of breast cancer
  2. surgical of breast within 12 months prior to the study
  3. known diagnosis breast cancer
  4. poor image quality
  5. follow-up was less than 12 months

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Conventional-reading
Two radiologists interpret at least three views of each breast without AI independently.
Second-reading
One radiologist reads AB US images without AI first, then combines the indications of AI marks to make the final decision.
Concurrent-reading
One radiologist identifies CAD marks first, then quickly browses the entire AB US examination to make the final decision.
Tow-view-reading
Two radiologists interpret only two views of each breast without AI independently.
Handheld US-screening
One radiologist screens the breast cancer using Handheld US and interprets images immediately.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The performance of breast cancer screening based on AB US with remote reading mode
Time Frame: 4 years
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 Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate the performance of AI on breast cancer screening based on AB US with remote reading mode
Time Frame: 4 years
Evaluate the performance of AI on breast cancer screening based on AB US with remote reading mode (Conventional-reading vs. Second-reading / Concurrent-reading)
4 years
Evaluate the performance of the image acquisition and interpretation modes in breast cancer screening based on AB US with remote reading mode
Time Frame: 4 years
Evaluate the performance of the image acquisition and interpretation modes in breast cancer screening based on AB US with remote reading mode (two views vs. three views)
4 years
Evaluate the performance of breast cancer screening according to the breast US device
Time Frame: 4 years
Evaluate the performance of breast cancer screening according to the breast US device (Hand-held US vs. AB US)
4 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Hongping Song, PHD,MD, Xijing Hospital of the Fourth Military Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2021

Primary Completion (Actual)

December 31, 2023

Study Completion (Estimated)

August 1, 2025

Study Registration Dates

First Submitted

August 23, 2020

First Submitted That Met QC Criteria

August 25, 2020

First Posted (Actual)

August 26, 2020

Study Record Updates

Last Update Posted (Actual)

April 30, 2024

Last Update Submitted That Met QC Criteria

April 28, 2024

Last Verified

April 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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