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Artificial Intelligence Assisted Breast Ultrasound in Breast Cancer Screening (AIBU)

Fudan University logo

Fudan University

Status

Completed

Conditions

Breast Cancer
Screening

Treatments

Device: Routine breast ultrasound
Device: AI-assisted breast ultrasound

Study type

Interventional

Funder types

Other

Identifiers

NCT06521788
20210712

Details and patient eligibility

About

AIBU is a randomized, open-label study assessing the effectiveness of an articificial intelligence-assisted breast ultrasound breast cancer screening strategy compared to standard screening (according to the current local guidelines in each participating area) in detecting late-stage breast cancers.

Full description

we enrolled asymptomatic women Women From January 2021 to December 2022, and then followed up for the next 1 year. The main study endpoint will be measured at the end of the one year after intervention.

Enrollment

21,790 patients

Sex

Female

Ages

35 to 70 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Women aged 35-70 who participated in breast cancer screening (Shanghai Rural Women "Women two cancer screening project", national major public health service project "Rural women breast cancer screening Project" and "Gynecological diseases and breast diseases screening project for retired and living difficult women") in Shanghai district

Exclusion criteria

    1. Personal history of breast carcinoma, either invasive or ductal carcinoma in situ (DCIS); 2. Personal history of any types of malignant neoplasms; 3. Known condition or suspicion of severe cardiopulmonary insufficiency, liver and kidney insufficiency and other systemic diseases; 4. Known condition or suspicion of serious comorbidities and average life expectancy less than 5 years; 5. History of lateral or bilateral mastectomy; 6. Disagree to participate in the study and follow-up interviews.

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

21,790 participants in 2 patient groups

AI assisted B-ultrasound breast cancer screening
Experimental group
Description:
Participants aged 35-70 years will be screened for breast cancer with AI assisted B-ultrasound
Treatment:
Device: AI-assisted breast ultrasound
routine screening
Active Comparator group
Description:
Participants aged 35-70 years will be screened for breast cancer with routine B-ultrasound by experienced primary care physicians.
Treatment:
Device: Routine breast ultrasound

Trial documents
1

Trial contacts and locations

3

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Data sourced from clinicaltrials.gov

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