Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach

Our study is the first to couple comprehensive morphometric analysis with machine learning approaches to delineate anatomic risk factors for abdominal donor site outcomes. Our multi-feature donor site outcome prediction models may be more informative than BMI in pre-operative risk assessment.

Authors

Terence M. Myckatyn (ORCID: https://orcid.org/0000-0002-9712-6181)
Jerry Kong (ORCID: https://orcid.org/0000-0002-0124-2947)
Kian Pourak (ORCID: https://orcid.org/0000-0001-7939-2841)
Austin Y. Ha (ORCID: https://orcid.org/0000-0001-7113-1903)
Arthur C. Sletten
Yixin Chen

Institutions

Washington University in St. Louis (US)

Publication Details

Journal: Plastic & Reconstructive Surgery
Published: 2026-02-25
DOI: https://doi.org/10.1097/prs.0000000000012968
Primary Topic: Reconstructive Surgery and Microvascular Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach

Terence M. Myckatyn, Jerry Kong, Kian Pourak, Austin Y. Ha et al.

Feb 25, 2026

Plastic & Reconstructive Surgery

Reconstructive Surgery and Microvascular Techniques

article

Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach

Terence M. Myckatyn, Jerry Kong, Kian Pourak, Austin Y. Ha, Arthur C. Sletten, Yixin Chen

February 25, 2026article en

Abstract

Our study is the first to couple comprehensive morphometric analysis with machine learning approaches to delineate anatomic risk factors for abdominal donor site outcomes. Our multi-feature donor site outcome prediction models may be more informative than BMI in pre-operative risk assessment.

Plastic & Reconstructive Surgery

Washington University in St. Louis (US)

Good health and well-being

Openalex Percentile: Top 43%

Reconstructive Surgery and Microvascular Techniques

DOI Source OpenAlex

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