Therapixel Case Study: Improved Radiologist Performance with MammoScreen 3D

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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. 

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