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Erschienen in: Breast Cancer Research and Treatment 3/2020

09.06.2020 | Review

Meta-analysis of prepectoral implant-based breast reconstruction: guide to patient selection and current outcomes

verfasst von: Olivia Abbate, Nikki Rosado, Nikhil Sobti, Brittany L. Vieira, Eric C. Liao

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 3/2020

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Abstract

Purpose

 This meta-analysis provides a large-scale comparison of prepectoral vs. subpectoral implant-based breast reconstruction, with primary outcomes of patient safety and efficacy.

Methods

Literature review was performed via PRISMA criteria, 33 studies met inclusion criteria for prepectoral review and 13 studies met inclusion criteria for meta-analysis. Patient characteristics and per-breast complications were collected. Data were analyzed using Cochrane RevMan and IBM SPSS.

Results

In 4692 breasts of 3014 patients that underwent prepectoral breast reconstruction, rippling was observed as the most common complication, followed by seroma and skin flap necrosis. Meta-analysis demonstrated statistically significant decrease in odds of skin flap necrosis and capsular contracture in prepectoral groups compared to subpectoral groups. Odds of infection, seroma, and hematoma were equal between the two groups.

Conclusions

Prepectoral breast reconstruction has surged in popularity in recent years. This review and large-scale analysis corroborates current literature reporting a favorable safety profile with emphasis on patient selection. Variability in skin flap thickness and vascularity mandates thoughtful selection of patients whose overall health and intra-operative skin flap assessment can tolerate a muscle-sparing reconstruction.
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Metadaten
Titel
Meta-analysis of prepectoral implant-based breast reconstruction: guide to patient selection and current outcomes
verfasst von
Olivia Abbate
Nikki Rosado
Nikhil Sobti
Brittany L. Vieira
Eric C. Liao
Publikationsdatum
09.06.2020
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 3/2020
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-020-05722-2

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