Your new experience awaits. Try the new design now and help us make it even better

PERSPECTIVE article

Front. Surg.

Sec. Reconstructive and Plastic Surgery

Volume 12 - 2025 | doi: 10.3389/fsurg.2025.1679524

This article is part of the Research TopicRecent Advancements and New Developments in Reconstructive SurgeryView all 5 articles

Pushing the Boundaries in Autologous Breast Reconstruction: Innovations from Imaging to Artificial Intelligence

Provisionally accepted
  • University Hospital Erlangen, Erlangen, Germany

The final, formatted version of the article will be published soon.

Breast cancer remains the most commonly diagnosed malignancy among women worldwide, with surgical intervention, ranging from breast-conserving procedures to total mastectomy, representing a cornerstone of curative treatment. In this context, breast reconstruction has become an essential component of comprehensive cancer treatment, addressing not only physical restoration but also playing a vital role in psychosocial rehabilitation and body image. Among the various reconstructive options, autologous tissue transfer has emerged as the preferred method for many patients, offering durable and natural-feeling results. In particular, abdominal-based free flaps such as the Deep Inferior Epigastric Perforator (DIEP) flap and the muscle-sparing Transverse Rectus Abdominis Myocutaneous (ms-TRAM) flap offer excellent results with reduced donor side morbidity. As the global number of breast cancer continues to rise, the demand for safe, individualized, and functionally superior reconstructive options rises as well. This article aims to give provide a general overview of current surgical approaches techniques and to highlight perspectives for future innovastions innovations in improving autologous breast reconstruction and patient satisfaction.

Keywords: breast cancer, Breast reconstruction, Autologous breast reconstruction, 3D imaging, artificial intelligence

Received: 04 Aug 2025; Accepted: 04 Sep 2025.

Copyright: © 2025 Scherrer, Horch, Promny, Promny, Eschenbacher and Arkudas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Isabell Scherrer, University Hospital Erlangen, Erlangen, Germany

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.