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Bioprosthetic tissue matrices in complex abdominal wall reconstruction.
Justin M Broyles1, Nicholas B Abt1, Justin M Sacks1
1Department of Plastic and Reconstructive Surgery, The Johns Hopkins Hospital, Baltimore, Md.; and Department of Plastic and Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, Tex.
Plastic and Reconstructive Surgery. Global Open
|October 8, 2014
Summary
Bioprosthetic tissue matrices show promise for complex abdominal wall reconstruction, particularly in contaminated fields. However, their long-term effectiveness, regenerative capacity, and optimal use require further investigation.
Area of Science:
- Surgical Innovation
- Biomaterials Science
- Regenerative Medicine
Background:
- Complex abdominal defects pose significant surgical challenges across various specialties.
- Mesh reinforcement is evidence-based for primary repair, but optimal mesh selection remains unclear.
- Bioprosthetic tissue matrices are increasingly utilized in abdominal wall reconstruction.
Purpose of the Study:
- To review the characteristics and clinical relevance of bioprosthetic tissue matrices.
- To clarify the role of these matrices in abdominal wall reconstruction.
- To identify superior mesh options for specific clinical scenarios.
Main Methods:
- Systematic review of peer-reviewed literature on bioprosthetic mesh in human subjects.
- Inclusion of basic science articles and retrospective/prospective reviews.
- Evaluation of clinical performance and characteristics of 13 bioprosthetic tissue matrices.
Main Results:
- Most evaluated bioprosthetic matrices performed well in contaminated surgical fields.
- Clinical outcomes (infection, reherniation, bulge) were variable.
- Mean follow-up duration in the majority of studies was less than 24 months.
Conclusions:
- Bioprosthetic matrices offer diverse applications in abdominal wall reconstruction.
- The functionality, regenerative capacity, and long-term fate of these matrices are not fully established.
- Further long-term studies are needed to evaluate clinical performance, indications, and contraindications for each matrix type.

