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.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
21,790
AI-assisted breast ultrasound in community-based breast cancer screening
Routine breast ultrasound conducted by primary care physicians
Maternal and Infant Healthy Centre of Hongkou District, Shanghai
Shanghai, Shanghai Municipality, China
Fudan University Shanghai Cancer Center
Shanghai, China
Shanghai Pudong New Area Healthcare Hospital For Women & Children
Shanghai, China
Incidence rate of early breast cancer in each arm
Early 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.
Time frame: 4 years
Sensitivity, specificity, positive predictive value, and negative predictive value of the screening methods
A 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.
Time frame: 4 years
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