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Allam et al. Plast Aesthet Res 2024;11:19 Plastic and
DOI: 10.20517/2347-9264.2024.21
Aesthetic Research

Review Open Access

Future of autologous breast reconstruction: a review
of novel technological innovations

2,#
1
1
1
Omar Allam 1,# , Caitlin Foster , Leonard Knoedler , Samuel Knoedler , Seungju Jackie Oh , Bohdan
1
Pomahac , Haripriya S. Ayyala 1
1
Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT 06519, USA.
2
University of Connecticut School of Medicine, Farmington, CT 06030, USA.
#Authors contributed equally.
Correspondence to: Dr. Haripriya S. Ayyala, Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School
of Medicine, 800 Howard Ave, New Haven, CT 06519, USA. E-mail: haripriya.ayyala@yale.edu
How to cite this article: Allam O, Foster C, Knoedler L, Knoedler S, Oh SJ, Pomahac B, Ayyala HS. Future of autologous breast
reconstruction: a review of novel technological innovations. Plast Aesthet Res 2024;11:19. https://dx.doi.org/10.20517/2347-
9264.2024.21

Received: 5 Feb 2024 First Decision: 14 May 2024 Revised: 22 May 2024 Accepted: 29 May 2024 Published: 31 May 2024
Academic Editor: Roberto Cuomo Copy Editor: Yanbing Bai Production Editor: Yanbing Bai

Abstract
The evolution of autologous breast reconstruction is marked by significant technological advancements aimed at
enhancing surgical outcomes. This review explores the current limitations and inherent challenges in standard
practices of autologous breast reconstruction and highlights the potential benefits of the latest technological
innovations. It addresses key aspects that stand to gain from improvements in surgical training and perioperative
patient care, with a particular focus on preoperative planning, intraoperative techniques, and postoperative
monitoring. The transformative potential of these technologies is poised to significantly improve patient outcomes,
optimize surgical efficiency, and advance surgical education.

Keywords: Artificial intelligence, AI, technology, breast reconstruction, plastic surgery, surgical education, 3D
printing

INTRODUCTION
Breast cancer is the most prevalent malignancy among women and remains the leading cause of
cancer-related mortality in this demographic . Nevertheless, the emergence of improved and effective
[1]

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