Abstracts

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E2137. Which Model Is Best? (Risk-Assessment Models, That Is)
Authors
  1. Shuai Yuan; Vanderbilt University Medical Center
  2. Tamarya Hoyt; Vanderbilt University Medical Center
Background
Breast cancer screening has made significant progress over the years with goals of detecting breast cancer in asymptomatic patients at an early stage and subsequently decreasing overall breast cancer mortality. There are various breast cancer risk-assessment models that serve to calculate patients’ five-year and life-time risks of breast cancer. Based on different level of risks, screening recommendations are made with supplemental imaging acquired with more advanced imaging tools. Through a thorough literature search and interrogation of peer-reviewed articles, this study aims to provide a comprehensive review of the various breast cancer risk assessment models, define what establishes high-risk patient status, explain guidelines for screening recommendations for high-risk patients, and explain corresponding outcomes. We want to answer the often-asked question, “which model is best?”

Educational Goals / Teaching Points
Patients have variant levels of understanding regarding their breast cancer screening recommendations and the roles of various recommendations in breast cancer diagnosis. By reviewing various breast cancer risk-assessment models, providing a definition of high-risk patients, and explaining guidelines for their screening recommendations, we hope to better guide practitioners in how to educate and follow-up their patients.

Key Anatomic/Physiologic Issues and Imaging Findings/Techniques
Our project will focus on an extensive literature review of various breast cancer risk-assessment models, define what establishes patients as high-risk for breast cancer, and review guidelines for high-risk patient screening and outcomes. We will give some examples of radiographic images, such as images of the spectrum of breast density, explaining dense tissue carries a greater risk. We will also provide some additional example images, using them to supplementally explain high-risk screening modality options.

Conclusion
By reviewing various breast cancer risk assessment models, we hope to qualify a definition of high-risk patients and their screening guidelines, so that clinicians may better educate and follow up with their patients. Improved clinical management should ultimately lead to better medical outcomes.