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High-Density Dermal Matrix for Soft Tissue Augmentation Using a Matrix Tissue Graph Technique-A Comprehensive Multicenter Analysis of 20 Implants: A 1-Year Follow-Up Retrospective Study.

Alessandro MinnitiMarino CaropreseMorris ZarantonelloDaniele De SantisGialfonso CaliendoFederico Gelpi
Published in: Journal of clinical medicine (2024)
Background : In this multicenter case series analysis, the authors present successful instances of 20 single-screw-retained and implant-supported prosthetic rehabilitation samples. Methods : A high-density heterologous dermal matrix (Derma ® Osteobiol by Tecnoss, Torino, Italy) was employed with a specific technique named the matrix tissue graft (MTG) in all these cases characterized by an inadequate initial supra-crestal tissue height (thin if 1 mm or medium if 2 mm) to enhance the peri-implant soft tissues both vertically and horizontally. Results : The implants were deemed successful in all cases, yielding a success proportion of 100% (one-sided 97.5% confidence interval = 83.2-100%). The buccal and lingual gains were, respectively, 2.2 ± 0.38 mm (range 1.7-3.22 mm) and 0.83 ± 0.33 mm (range 0.1-1.5 mm). These measurements were calculated as the maximum distance between two superimposed .stl file models (derived from two different IOS devices) scanned before implant placement and 1 year after dermal matrix healing. Conclusions : An outstanding vertical and horizontal gain was obtained using this heterologous derma matrix placed above the bone crest and surrounding the dental implants.
Keyphrases
  • soft tissue
  • high density
  • gene expression
  • body mass index
  • bone loss
  • machine learning
  • double blind
  • bone mineral density
  • body composition
  • convolutional neural network
  • carbon nanotubes