Breast Decisions: Recommender System for Appearance Counseling about Breast Reconstruction

Author:

Nicklaus Krista M.12,Cheong Audrey3,Sampathkumar Urmila4,Liu Jun2,Chopra Deepti5,Hoffman Aubri6,Merchant Fatima A.1347,Hanson Summer E.8,Markey Mia K.19,Reece Gregory P.2

Affiliation:

1. Department of Biomedical Engineering, The University of Texas at Austin, Austin, Tex.

2. Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.

3. Department of Electrical and Computer Engineering, University of Houston, Houston, Tex.

4. Department of Computer Science, University of Houston, Houston, Tex.

5. Department of Psychiatry, The University of Texas MD Anderson Cancer Center, Houston, Tex.

6. The Value Institute for Health and Care, Dell Medical School, The University of Texas at Austin, Austin, Tex.

7. Department of Engineering Technology, University of Houston, Houston, Tex.

8. Section of Plastic and Reconstructive Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illi.

9. Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Tex.

Abstract

Background:Appearance counseling is an important component of the consent process for breast reconstruction. The purpose of appearance counseling is to help the patient form realistic expectations of what she might look like after breast reconstruction. In this article, we introduce a recommender system, “BreastDecisions,” for appearance counseling that suggests photographs of previous patients that are tailored to a specific patient to help her form realistic expectations of her own reconstruction.Methods:We present user specifications and algorithm parameters needed to incorporate the recommender system into the appearance counseling workflow. We demonstrate the system for a common counseling scenario using a knowledgebase of previous breast reconstruction patients. The medical appropriateness of the recommended photographs for use in appearance counseling was evaluated by experts using a four-point rating system.Results:The recommender system presents photographs that are medically appropriate for counseling a specific patient, depicts typical outcomes, and adapts to a variety of clinical workflows. For each of 33 patients taken as examples of breast reconstruction patients, we used the system to identify photographs for appearance counseling. The baseline average medical appropriateness of the recommended photographs was between mostly appropriate (some explanation needed) and medically appropriate (minimal explanation needed). We demonstrate filtering and ranking steps to reduce the number of recommended photographs and increase the average medical appropriateness.Conclusions:Our recommender system automatically suggests photographs of previous breast reconstruction patients for use in counseling a patient about appearance outcomes. The system is patient-specific and customizable to a particular surgeon’s practice.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery,General Medicine

Reference23 articles.

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