A Deep Learning Model to Predict Breast Implant Texture Types Using Ultrasonography Images: Feasibility Development Study.

Journal: JMIR formative research
Published Date: Nov 5, 2024

Abstract

BACKGROUND: Breast implants, including textured variants, have been widely used in aesthetic and reconstructive mammoplasty. However, the textured type, which is one of the shell texture types of breast implants, has been identified as a possible etiologic factor for lymphoma, specifically breast implant-associated anaplastic large cell lymphoma (BIA-ALCL). Identifying the shell texture type of the implant is critical to diagnosing BIA-ALCL. However, distinguishing the shell texture type can be difficult due to the loss of human memory and medical history. An alternative approach is to use ultrasonography, but this method also has limitations in quantitative assessment.

Authors

  • Ho Heon Kim
    Department of Biomedical Systems Informatics, College of Medicine, Yonsei University, Seoul, Republic of Korea.
  • Won Chan Jeong
    3Billion, Inc, Seoul, Republic of Korea.
  • Kyungran Pi
    Quantic EMBA, Washington, DC, United States.
  • Angela Soeun Lee
    Korean Society of Breast Implant Research, Seoul, Republic of Korea.
  • Min Soo Kim
  • Hye Jin Kim
    Colorectal Cancer Center, Kyungpook National University Medical Center, Kyungpook National University School of Medicine, Daegu, Korea.
  • Jae Hong Kim
    The W Clinic, Seoul, Republic of Korea.

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