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Case Studies of a Simulation Workflow to Improve Bone Healing Assessment in Impending Non-Unions.
Maisenbacher, Tanja C; Libicher, Saskia; Erne, Felix; Menger, Maximilian M; Reumann, Marie K; Schindler, Yannick; Niemeyer, Frank; Engelhardt, Lucas; Histing, Tina; Braun, Benedikt J.
Affiliation
  • Maisenbacher TC; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Libicher S; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Erne F; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Menger MM; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Reumann MK; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Schindler Y; Project Team OSORA-Medical Fracture Analytics, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany.
  • Niemeyer F; Project Team OSORA-Medical Fracture Analytics, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany.
  • Engelhardt L; Project Team OSORA-Medical Fracture Analytics, Ulm University, Helmholtzstr. 20, 89081 Ulm, Germany.
  • Histing T; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
  • Braun BJ; Department of Trauma and Reconstructive Surgery, Eberhard Karls University Tuebingen, BG Klinik Tuebingen, 72076 Tuebingen, Germany.
J Clin Med ; 13(13)2024 Jul 04.
Article de En | MEDLINE | ID: mdl-38999488
ABSTRACT

Background:

The healing potential of a fracture is determined by mechanical and biological factors. Simulation-based workflows can help assess these factors to assist in predicting non-unions. The aim of this study was the introduction of two use cases for a novel patient-specific simulation workflow based on clinically available information.

Methods:

The used software is an extension of the "Ulm Bone Healing model" and was applied in two cases with non-union development after fracture fixation to show its principal feasibility. The clinical and radiographic information, starting from initial treatment, were used to feed the simulation process.

Results:

The simulation predicted non-union development and axial deviation in a mechanically driven non-union. In the case of a biological non-union, a slow, incomplete healing course was correctly identified. However, the time offset in callus bridging was discordant between the simulation and the distinctly slower healing response in the clinical case.

Conclusions:

The simulation workflow presented in the two clinical use cases allowed for the identification of fractures at risk for impending non-union immediately after the initial fixation based on available clinical and radiographic information. Further validation in a large non-union cohort is needed to increase the model's precision, especially in biologically challenging cases, and show its validity as a screening instrument.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Clin Med Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: J Clin Med Année: 2024 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Suisse