Operating Point Optimization for Efficient Mammogram Triage Using Only Highly Elevated Probability scores.

Mark Traill¹, Jensen Jantz², Blair Richards³, Shokoufeh Khalatbari³, Jeffrey Hoffmeister⁴, Julie Shisler⁵, Crystal Snyder⁶

¹Department of Radiiology, Michigan State University College of Osteopathic Medicine, East Lansing, MI; MammoBot PLLC, Niles, MI; Department of Medical Imaging, Formerly at University of Michigan Health-West, Wyoming, MI. Electronic address: mtraill@mammobot.com.

²Department of Clinical Research, University of Michigan, Health West, Wyoming, MI.

³Michigan Institute of Clinical and Health Research, University of Michigan wide resource hub, Ann Arbor, MI.

⁴iCAD, Inc. Manhattan Beach, CA.

⁵JLS Consulting, Jupiter, FL.

⁶Deephealth, Inc. Troy, OH.

PubMed DOI

Abstract

BACKGROUD: Using AI breast cancer detection scores to triage screening mammogram patients has been described in several studies. This type of triage could expedite a cancer diagnosis and significantly shorten the time from screening mammogram to treatment. However, the optimal operating point, or score value, above which patients should be triaged, has not been well defined. Identifying practical…

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