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Transpara® Temporal Comparison

Improve breast cancer detection with priors

Reviewing prior exams is a key step in every clinical review of a mammogram as well as established protocol. Transpara
Temporal Comparison (TTC) does for AI what reviewing priors has always done for your own clinical performance: strengthen and support.

Transpara Temporal Comparison tracks findings across up to three prior mammograms (if available), from 9 months to 6.5 years prior. It increases the sensitivity of Elevated and Intermediate Risk Scores by up to 8%.

Integrating priors into your AI-driven workflow

 

Transpara Temporal Comparison increases sensitivity and specificity of the Transpara Detection algorithm by evaluating whether a region has changed over time or has remained stable.

ScreenPoint Medical designed TTC to maximize clinical performance with minimal impact on time to receive Transpara Detection’s risk assessment results within your workflow.

Integrating priors into Transpara Breast AI workflow for breast cancer detection

Translating imaging into impact

By leveraging prior studies, Transpara Temporal Comparison improves the specificity of the Transpara Detection algorithm.

At 71% sensitivity (similar to the average radiologist), Temporal Comparison will reduce false positives by 37%, based on internal analysis and research1 presented at ECR 2025.

Priors Impact_v1 (1)

Available directly within your workflow

TTC is available via many of the systems and platforms you use today, contact your ScreenPoint Medical representative to confirm.

Want to learn more? Schedule a demo with our team of experts today.
Want to learn more? Schedule a demo with our team of experts today.

Explore the Transpara® Breast AI suite

Transpara® Detection

Transpara® Detection

The most validated Breast AI tool, Transpara Detection helps your radiologists find more cancer and enhances their reading workflow.

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Transpara® Density

Transpara® Density

Transpara Density combines a BI-RADS-like assessment as well as volumetric breast density for consistency in analysis and reporting.

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