Artificial Intelligence Assisted Breast Ultrasound in Breast Cancer Screening
NCT ID: NCT06521788
Last Updated: 2024-07-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
21790 participants
INTERVENTIONAL
2020-09-01
2023-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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AI assisted B-ultrasound breast cancer screening
Participants aged 35-70 years will be screened for breast cancer with AI assisted B-ultrasound
AI-assisted breast ultrasound
AI-assisted breast ultrasound in community-based breast cancer screening
routine screening
Participants aged 35-70 years will be screened for breast cancer with routine B-ultrasound by experienced primary care physicians.
Routine breast ultrasound
Routine breast ultrasound conducted by primary care physicians
Interventions
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AI-assisted breast ultrasound
AI-assisted breast ultrasound in community-based breast cancer screening
Routine breast ultrasound
Routine breast ultrasound conducted by primary care physicians
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
35 Years
70 Years
FEMALE
Yes
Sponsors
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Fudan University
OTHER
Responsible Party
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Ying Zheng
Director of Cancer Prevention Department, Fudan University Shanghai Cancer Center
Principal Investigators
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Ying Zheng
Role: STUDY_CHAIR
Fudan University
Locations
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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
Countries
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References
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Shen J, Liu Y, Liu A, Gu X, Zhou J, Jiang P, Mo M, Zhang L, Yang C, Zhou C, Wang Z, Xie Z, Yao W, Zhou S, Zheng Y, Chang C. Artificial intelligence-assisted ultrasound screening for breast cancer in China: a prospective, clustered, controlled, population-based study. Breast Cancer Res. 2025 Oct 7;27(1):173. doi: 10.1186/s13058-025-02128-0.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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20210712
Identifier Type: -
Identifier Source: org_study_id
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