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Artificial Intelligence Assisted Breast Ultrasound in Breast Cancer Screening

Application Research of B-ultrasound Assisted by Artificial Intelligence in Breast Cancer Screening

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06521788
Acronym
AIBU
Enrollment
21790
Registered
2024-07-26
Start date
2020-09-01
Completion date
2023-12-31
Last updated
2024-07-26

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

Conditions

Breast Cancer, Screening

Keywords

Cancer epidemiology, Artificial intelligence, Ultrasound

Brief summary

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.

Detailed 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.

Interventions

DEVICEAI-assisted breast ultrasound

AI-assisted breast ultrasound in community-based breast cancer screening

DEVICERoutine breast ultrasound

Routine breast ultrasound conducted by primary care physicians

Sponsors

Fudan University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
35 Years to 70 Years
Healthy volunteers
Yes

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.

Design outcomes

Primary

MeasureTime frameDescription
Incidence rate of early breast cancer in each arm4 yearsEarly cancers should meet any of the following criteria at the time of diagnosis: less than 20 milimeters in diameter, no metastatic lymph nodes in the axilla, no distant metastasis, non-invasive cancers, stage 0, stage I, and stage IIa IIb (T2N1M0) breast cancer according to American Joint Committee on Cancer (AJCC) 8th staging.

Secondary

MeasureTime frameDescription
Sensitivity, specificity, positive predictive value, and negative predictive value of the screening methods4 yearsA true-positive screening result (sensitivity) was a positive result in a participant who was diagnosed with breast cancer by further diagnostic work-up. A false-positive screening result was a positive result in the absence of breast cancer. A true-negative screening result (specificity) was a negative result in the absence of breast cancer and a false-negative test result was a negative result followed by diagnosis of interval cancer.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026