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Breast implant surface texture impacts host tissue response.

Michael Atlan1, Gina Nuti2, Hongpeng Wang2

  • 1APHP Hopital Tenon, Université Pierre et Marie Curie Paris VI, Maitre de conférence des Universités Praticien Hospitalier, 4 rue de la Chine, 75020 Paris, France.

Journal of the Mechanical Behavior of Biomedical Materials
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

Breast implant surface texture significantly impacts tissue response, including ingrowth and adherence. Researchers classified textures into four groups based on surface area, aiding in predicting device performance.

Keywords:
Breast implantsScanning electron microscopySurface textureTissue adherenceX-ray computed tomography

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Area of Science:

  • Biomaterials Science
  • Medical Device Engineering
  • Tissue Engineering

Background:

  • Breast implant surface texture is a critical determinant of host tissue response and overall device performance.
  • Understanding variations in implant surface textures is essential for predicting and optimizing clinical outcomes.

Purpose of the Study:

  • To characterize and compare the topographical and surface area differences of 12 distinct breast implant surface textures.
  • To evaluate the correlation between breast implant surface texture characteristics and host tissue response in a preclinical model.

Main Methods:

  • Utilized scanning electron microscopy (SEM) and X-ray computed tomography (CT) to analyze surface topography and area of 12 implant textures.
  • Assessed histological tissue response and tissue adherence to implanted textures in a rat model.

Main Results:

  • SEM and CT imaging revealed significant qualitative and quantitative differences in surface evenness, pore characteristics, and depth among implant textures.
  • Surface area measurements showed a wide range (85-551 mm²), significantly exceeding that of a flat surface.
  • Increased surface texture complexity correlated with greater capsule disorganization, enhanced tissue ingrowth, and stronger tissue adherence in the rat model.

Conclusions:

  • Breast implant surface area and topography are key factors influencing tissue ingrowth and adherence.
  • Developed a four-classification system for breast implant textures based on surface area: smooth/nanotexture, microtexture, macrotexture, and macrotexture-plus.