A retrospective multi-centre clinical study of a deep learning system in identifying breast cancer through the assessment of mammograms
Not Applicable
- Conditions
- Decision support in breast cancer screeningCancer
- Registration Number
- ISRCTN15504688
- Lead Sponsor
- Kheiron Medical Technologies (United Kingdom)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Ongoing
- Sex
- Female
- Target Recruitment
- 1000000
Inclusion Criteria
1. Female participants
2. Participants attending for breast screening purposes (normal and opportunistic screening)*
3. Participants for whom a 2D FFDM standard four-view mammography examination was acquired (MLO-R, CC-R, MLO-L, CC-L)
* Includes: 1) early recall cases (e.g. participants brought back for screening earlier than the established screening interval); and 2) participants of UK age extension trial (AgeX).
Exclusion Criteria
Does not meet inclusion criteria
Study & Design
- Study Type
- Other
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Sensitivity of the standalone case-wise malignancy detection performance of Mia, measured as the number of positive cases recalled divided by the total number of positive cases, over the full study dataset time period. Specificity of the standalone case-wise malignancy detection performance of Mia, measured as the number of confirmed negative cases not recalled divided by the total number of confirmed negative cases, over the full dataset time period.
- Secondary Outcome Measures
Name Time Method