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Screening Mammography: Single Reading by One Radiologist With AI vs. Double Reading by Two Radiologists (AI-BCSQ)

Use of Artificial Intelligence in Breast Cancer Screening: Impact of AI-Assisted Single Reading by One Radiologist on Screening Quality Indicators Compared to Standard Double Reading by Two Radiologists Without AI

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07075679
Acronym
AI-BCSQ
Enrollment
8000
Registered
2025-07-20
Start date
2025-10-06
Completion date
2028-10-05
Last updated
2026-04-02

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

Conditions

Artificial Intelligence (AI), Breast Cancer Screening, Breast Cancer Screening and Diagnosis

Keywords

breast cancer, screening, artificial intelligence

Brief summary

A randomized prospective study comparing the evaluation of mammography images in a breast cancer screening programme by a single radiologist with AI support versus standard double reading by two radiologists without AI support.

Detailed description

In the intervention group, the first reading of the screening mammogram will be performed by one radiologist with AI support. After this AI-assisted first reading is completed and recorded for the study, a standard second reading will be carried out by another radiologist. This ensures that the legal requirement for double reading in the breast cancer screening program is maintained. In the control group, mammograms will be evaluated according to the current standard practice - that is, independently by two radiologists without AI support. Participants will be divided to the two groups based on a randomization scheme that determines specific days for evaluation with AI (Group 1) and without AI (Group 2). The randomization ensures equal distribution of weekdays between the two groups to minimize bias due to variability in daily workflow, diagnostic/screening ratios, or other operational factors.

Interventions

DIAGNOSTIC_TESTGroup with AI iCAD version 3

Reading mammograms by one radiologist with AI support

DIAGNOSTIC_TESTGroup without AI

Standard double reading by two radiologists without AI.

Sponsors

University Hospital Olomouc
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
FEMALE
Age
45 Years to 69 Years
Healthy volunteers
Yes

Inclusion criteria

* age 45-69, asymptomatic woman participating in breast cancer screening programme

Exclusion criteria

* clinical signs of breast disease - indication for diagnostic mammography

Design outcomes

Primary

MeasureTime frameDescription
Further assessment rateup to 190 days after screening mammmographyThe proportion of women udergoing follow-up examinations within 0-190 days after screening mammography.

Secondary

MeasureTime frameDescription
Cancer Detection Rateup to 1 year after screening mammographyThe number of cancers detected per 1,000 women screened.
Recall Rateup to 190 days after screening mammographyThe proportion of women recalled for follow-up examinations withing 1-190 days after screening mammography.

Countries

Czechia

Contacts

CONTACTLucia Veverkova, MD
lucia.veverkova@fnol.cz+420603181913

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 3, 2026