Feasibility of an AI-driven Classification of Tuberous Breast Deformity: A Siamese Network Approach with a Continuous Tuberosity Score.

Journal: Aesthetic surgery journal
Published Date: May 20, 2025

Abstract

BACKGROUND: Tuberous breast deformity (TBD) is a congenital condition characterized by constriction of the breast base, parenchymal hypoplasia, and areolar herniation. The absence of a universally accepted classification system complicates diagnosis and surgical planning, leading to variability in clinical outcomes. Artificial intelligence (AI) has emerged as a powerful adjunct in medical imaging, enabling objective, reproducible, and data-driven diagnostic assessments.

Authors

  • Stefano Vaccari
    Department of Medical Biotechnology and Translational Medicine BIOMETRA, Plastic Reconstructive and Aesthetic Plastic Surgery School, Università degli Studi Di Milano, Milan, Italy.
  • Alberto Paderno
    Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
  • Simone Furlan
    Department of Medical Biotechnology and Translational Medicine BIOMETRA, Plastic Reconstructive and Aesthetic Plastic Surgery School, Università degli Studi Di Milano, Milan, Italy.
  • Mattia Federico Cavallero
    Department of Medical Biotechnology and Translational Medicine BIOMETRA, Plastic Reconstructive and Aesthetic Plastic Surgery School, Università degli Studi Di Milano, Milan, Italy.
  • Alessandro Marco Lupacchini
    Department of Medical Biotechnology and Translational Medicine BIOMETRA, Plastic Reconstructive and Aesthetic Plastic Surgery School, Università degli Studi Di Milano, Milan, Italy.
  • Riccardo Di Giuli
    Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
  • Marco Klinger
    IRCCS Humanitas Research Hospital, Milan, Italy.
  • Francesco Klinger
    Department of Health Sciences, Ospedale San Paolo, University of Milan, Milan, Italy.
  • Valeriano Vinci
    Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.

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