Scholarlink

Objectives <p>Recent advancements in mandibular reconstruction, including virtual surgical planning and patient-specific 3D-printed reconstruction plates, have improved surgical precision but have not yet fully optimized the mechanical environment for bone healing. This study aimed to investigate the level of mechanical signals that may promote bone regeneration in mandibular reconstruction with patient-specific plates.</p> Materials and methods <p>A coupled finite‑element and agent‑based mechanobiological model for mandibular bone healing was developed to predict bone formation after mandibular reconstruction. A finite element model (FEM) of a monosegmental mandibular reconstruction with a patient-specific 3D-printed plate during unilateral clenching was coupled with a 3D agent-based model to simulate cellular activities at the osteotomy sites. Using an established mechano-regulation theory, tissue formation and resorption were simulated based on mechanical signals. The latter were systematically varied to identify thresholds matching clinical observations.</p> Results <p>Increasing the ossification threshold from 0.15&#xa0;MPa to 0.30&#xa0;MPa improved agreement with clinical data, leading to 39% and 69% of bone formation in the anterior and posterior gaps, respectively, after 90 days.</p> Conclusions <p>The model was able to predict levels of newly-formed bone as per clinical observations. Adaptation of the mechano-regulation theory to the mandibular environment suggested that mandibular bone regeneration might occur at a higher level of mechanical stress than in long bones.</p> Clinical relevance <p>This study presented a computational framework that could, in the future, be incorporated into the clinical workflow during virtual surgical planning to support the mechanical optimization of patient-specific fixation devices and ultimately enhance the healing outcome.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Local mechanical stresses can explain the mechanoregulation of bone healing after mandibular reconstruction: an in silico study

  • 期刊论文

  • 发表日期：

    2025年10月20日

查看全文
  • Vincenzo Orassi,
  • Philipp Ruf,
  • Claudius Steffen,
  • Georg N. Duda,
  • Max Heiland,
  • Carsten Rendenbach,
  • Sara Checa

摘要

Objectives

Recent advancements in mandibular reconstruction, including virtual surgical planning and patient-specific 3D-printed reconstruction plates, have improved surgical precision but have not yet fully optimized the mechanical environment for bone healing. This study aimed to investigate the level of mechanical signals that may promote bone regeneration in mandibular reconstruction with patient-specific plates.

Materials and methods

A coupled finite‑element and agent‑based mechanobiological model for mandibular bone healing was developed to predict bone formation after mandibular reconstruction. A finite element model (FEM) of a monosegmental mandibular reconstruction with a patient-specific 3D-printed plate during unilateral clenching was coupled with a 3D agent-based model to simulate cellular activities at the osteotomy sites. Using an established mechano-regulation theory, tissue formation and resorption were simulated based on mechanical signals. The latter were systematically varied to identify thresholds matching clinical observations.

Results

Increasing the ossification threshold from 0.15 MPa to 0.30 MPa improved agreement with clinical data, leading to 39% and 69% of bone formation in the anterior and posterior gaps, respectively, after 90 days.

Conclusions

The model was able to predict levels of newly-formed bone as per clinical observations. Adaptation of the mechano-regulation theory to the mandibular environment suggested that mandibular bone regeneration might occur at a higher level of mechanical stress than in long bones.

Clinical relevance

This study presented a computational framework that could, in the future, be incorporated into the clinical workflow during virtual surgical planning to support the mechanical optimization of patient-specific fixation devices and ultimately enhance the healing outcome.