Therapixel Case Study: Improved Radiologist Performance with MammoScreen 3D

DomAIn Knowledge

Therapixel Case Study: Improved Radiologist Performance with MammoScreen 3D

DomAIn Knowledge

Ferrum Health partners with best-in-class AI providers offering solutions designed to reduce radiology workload and improve patient care.

Therapixel Case Study: Improved Radiologist Performance

Introduction

One in eight women will develop breast cancer in their lifetime. Early detection of breast cancer is key before the cancer metastasizes. A clinical study compared radiologists’ performance reading with and without MammoScreen® 3D.

Clinical case

After a false negative case, the original reader found the cancer a year after the initial mammogram. A linear microcalcification cluster in the posterior medial right breast was detected. The lesion was flagged by MammoScreen via tomosynthesis a year earlier with a score of 7. During a reader study, 5 radiologists recalled this case unassisted, with an additional 12 recalling the case utilizing MammoScreen.

Conclusion

The Therapixel Study suggests the use of AI-guided decision-making support, such as Mammoscreen, is reliable in assisting in the early detection of breast cancer. 

Interested in deploying Mammoscreen at your health facility?

Contact the Ferrum Health team to learn more.

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ARA Health Specialists

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Sutter Health

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