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An Algorithmic Anatomical Subunit Approach to Pelvic Wound Reconstruction
Alexander F Mericli1, Justin P Martin, Chris A Campbell
1Charlottesville, Va. From the Department of Plastic Surgery, University of Virginia Health System.
Plastic and Reconstructive Surgery
|February 25, 2016
Summary
This study introduces a pelvic subunit principle for reconstructing pelvic defects, improving outcomes and reducing complications. This flap algorithm enhances patient satisfaction with appearance and function after complex pelvic surgeries.
Area of Science:
- Reconstructive surgery
- Plastic surgery
- Surgical oncology
Background:
- High perineal dehiscence rates (up to 66%) occur after pelvic wound closure, influenced by prior radiation, dead space, and dependent positioning.
- Existing regional flaps for pelvic defects lack a systematic approach for matching to specific anatomical regions.
Purpose of the Study:
- To establish an algorithmic approach for selecting pedicled flaps based on anatomical subunits in pelvic reconstruction.
- To evaluate the efficacy and complication rates of the pelvic subunit principle in acquired pelvic defects.
Main Methods:
- Retrospective review of a prospectively maintained database of pelvic reconstructions (2010-2013) with ≥6 months follow-up.
- Categorization of pelvic defects and flap selection by anatomical subunits: anterolateral thigh (mons), gracilis (labia/introitus), vertical rectus abdominis myocutaneous (vagina/raphe), and gluteus (perianal).
Main Results:
- Forty-five flaps were performed in 30 patients (27 female, 3 male; mean age 60 years) using the subunit principle.
- Low complication rates: 3 minor dehiscences, 1 major dehiscence, 1 reoperation for abscess, and 2 partial flap losses.
- Functional outcomes included 25% of female patients resuming sexual activity after vaginal reconstruction.
Conclusions:
- The pelvic subunit principle offers an effective algorithm for selecting ideal pedicled flaps for specific anatomical regions within acquired pelvic defects.
- This principle leverages individual flap attributes for optimal regional suitability, leading to minimal complications.
- Excellent patient satisfaction with both appearance and function was reported following reconstruction using this algorithmic approach.

