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Active, not recruitingNCT04527510Updated Apr 30, 2024

Remote Breast Cancer Screening Study

An observational study in Breast Cancer, Mass Screening and Cancer Screening, sponsored by The First Affiliated Hospital of the Fourth Military Medical University. Active, not recruiting at 2 sites in China. Open to female participants aged 35 Years and older. Per ClinicalTrials.gov, last updated 2024-04-30.

Sponsored by The First Affiliated Hospital of the Fourth Military Medical University · Observational

Study type
Observational
Model
Case-only
Time perspective
Prospective
Enrollment
6,333
Ages
35 Years and older
Sex
Female
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Study 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.

Read the 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.

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Conditions studied

  • Breast Cancer
  • Mass Screening
  • Cancer Screening
  • Ultrasound Imaging
  • AI (Artificial Intelligence)

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Keywords

  • Remote breast cancer screening
  • AB US
  • AI
  • Scanning and reading patterns
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In context

Breast Neoplasms

12,544 studies on the registry are indexed under Breast Neoplasms; 2,892 are open to participants now.

This study's enrollment of 6,333 is above the median of 184 across 2,642 observational studies indexed under Breast Neoplasms.

Browse Breast Neoplasms studies →

Lead sponsor

The First Affiliated Hospital of the Fourth Military Medical University is the lead sponsor of 3 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
35 Years and older
Sexes eligible
Female
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)

Inclusion criteria

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

Exclusion criteria

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
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Study design

Observational model
Case-only
Time perspective
Prospective
Enrollment
6,333 participants (actual)
Patient registry
No

Groups and cohorts

  • Conventional-reading

    Diagnostic Test: Conventional-reading

  • Second-reading

    Diagnostic Test: Second-reading

  • Concurrent-reading

    Diagnostic Test: Concurrent-reading

  • Tow-view-reading

    Diagnostic Test: Tow views-reading

  • Handheld US-screening

    Diagnostic Test: Handheld US-screening

Interventions

  • Diagnostic testConventional-reading

    Two radiologists interpret at least three views of each breast without AI independently.

  • Diagnostic testSecond-reading

    One radiologist reads AB US images without AI first, then combines the indications of AI marks to make the final decision.

  • Diagnostic testConcurrent-reading

    One radiologist identifies CAD marks first, then quickly browses the entire AB US examination to make the final decision.

  • Diagnostic testTow views-reading

    Two radiologists interpret only two views of each breast without AI independently.

  • Diagnostic testHandheld US-screening

    One radiologist screens the breast cancer using Handheld US and interprets images immediately.

06

What researchers measure

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.

    Time frame: 4 years

Secondary outcomes

  1. Evaluate the performance of AI on breast cancer screening based on AB US with remote reading mode

    Evaluate the performance of AI on breast cancer screening based on AB US with remote reading mode (Conventional-reading vs. Second-reading / Concurrent-reading)

    Time frame: 4 years

  2. Evaluate the performance of the image acquisition and interpretation modes in breast cancer screening based on AB US with remote reading mode

    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)

    Time frame: 4 years

  3. Evaluate the performance of breast cancer screening according to the breast US device

    Evaluate the performance of breast cancer screening according to the breast US device (Hand-held US vs. AB US)

    Time frame: 4 years

07

Study locations

2 sites
  • 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
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 30, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04527510
Lead sponsor
The First Affiliated Hospital of the Fourth Military Medical University
Responsible party
Song Hongping (Principal Investigator, The First Affiliated Hospital of the Fourth Military Medical University) — Principal investigator
First posted
Aug 26, 2020
Start date
Jan 1, 2021
Primary completion
Dec 31, 2023
Completion
Aug 2025 (estimated)
Last update
Apr 30, 2024

Study contacts

Hongping Song, PHD,MD
principal investigator · Xijing hospital of The fourth military medical university

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Apr 2024. You cannot join it, but the record below documents what was studied.

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