ScreenTrustCAD
In Stockholm's screening programme, replacing one of the two radiologists with Lunit's mammography software found at least as many breast cancers as two radiologists reading together, the first prospective evidence that this software can take over one reader's seat.
Overview
ScreenTrustCAD (NCT04778670; organisation id STGKS001) was a prospective, population-based, paired-reader, non-inferiority study at Capio Sankt Göran Hospital in Stockholm, sponsored by Karolinska University Hospital with Lunit as a collaborator and part funder. Consecutive women aged 40 to 74 without breast implants attending population screening in the hospital's catchment were included. Every examination was read independently by two radiologists and by Lunit INSIGHT MMG. The primary outcome was screen-detected breast cancer within three months of mammography, and the primary analysis tested whether double reading by one radiologist plus AI was non-inferior (margin 0.15 relative reduction in cancer diagnoses) to standard double reading by two radiologists; AI alone and triple reading by two radiologists plus AI were also compared.
From 1 April 2021 to 9 June 2022, 58,344 women were screened and 55,581 were included. Screen-detected cancer followed an initial positive read in 269 women (0.5 percent). One radiologist plus AI detected 261 cancers (0.5 percent) against 250 (0.4 percent) for two radiologists (relative proportion 1.04, 95 percent CI 1.00 to 1.09), meeting non-inferiority. AI alone detected 246 (relative proportion 0.98, 0.93 to 1.04) and two radiologists plus AI detected 269 (1.08, 1.04 to 1.11), both also non-inferior. The authors conclude that replacing one radiologist with AI gave a 4 percent higher, non-inferior detection rate and that the software has potential for controlled implementation with risk management and real-world follow-up.
The registry lists the study as interventional with no drug phase, which is why the phase 2 and 3 pass never attached it. MASAI, the Swedish randomised trial of AI-supported screening, used Transpara and is a separate record.
- One radiologist + Lunit INSIGHT MMG: 261 cases; Two radiologists (standard double reading): 250 cases.
- Lunit INSIGHT MMG alone: 246 cases; Two radiologists (standard double reading): 250 cases.
- Two radiologists + Lunit INSIGHT MMG: 269 cases; Two radiologists (standard double reading): 250 cases.
- This endpoint is not one of the standard survival or response measures; read it alongside the trial's primary result.
- These results apply to the people the trial enrolled: Population mammography screening at Capio Sankt Göran Hospital, Stockholm: paired-reader non-inferiority comparison of one radiologist plus Lunit INSIGHT MMG against standard double reading by two radiologists, with AI alone and two radiologists plus AI as further comparisons. People in a different situation may not see the same effect.
Numbers are from the trial as recorded here; see the source links in the table below. This is orientation, not medical advice: ask your team how closely the trial population matches you.
55,581 analysed.
0.5%; relative proportion 1.04 (95% CI 1.00 to 1.09) vs two radiologists; non-inferiority margin 0.15 relative reduction · 0.4%
SourceRelative proportion 0.98 (95% CI 0.93 to 1.04); non-inferior
SourceRelative proportion 1.08 (95% CI 1.04 to 1.11)
Source| Endpoint | Arm | n | Value | HR (95% CI) | p | Source |
|---|---|---|---|---|---|---|
| Screen-detected breast cancers (primary comparison: one radiologist plus AI versus two radiologists)primary | One radiologist + Lunit INSIGHT MMG | 55,581 | 261 cases | - | - | link |
| Two radiologists (standard double reading) | 55,581 | 250 cases | ||||
| Screen-detected breast cancers, AI alone versus two radiologists | Lunit INSIGHT MMG alone | 55,581 | 246 cases | - | - | link |
| Two radiologists (standard double reading) | 55,581 | 250 cases | ||||
| Screen-detected breast cancers, two radiologists plus AI versus two radiologists | Two radiologists + Lunit INSIGHT MMG | 55,581 | 269 cases | - | - | link |
| Two radiologists (standard double reading) | 55,581 | 250 cases |
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