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Computational Challenges in Tissue Engineering for the Spine.

André P G Castro¹

¹IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.

Bioengineering (Basel, Switzerland)

|March 6, 2021

Summary

This summary is machine-generated.

Computational modeling advances innovative spine disease treatments. Patient-specific approaches using additive manufacturing show promise, but regulatory validation remains a key challenge for widespread adoption.

Keywords:

biomechanics finite element modelling intervertebral disc spine tissue engineering vertebrae

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Area of Science:

Biomedical Engineering
Computational Science
Orthopedics

Background:

Spine diseases require specialized modeling due to complex tissue structures.
Advancements in additive manufacturing and computing power enable patient-specific treatments.

Purpose of the Study:

To review recent developments in computational modeling for spine disease treatments.
To provide perspectives on future research directions in the field.

Main Methods:

Review of recent literature on computational modeling in spine treatments.
Analysis of the impact of additive manufacturing and computational power.
Identification of challenges and future research avenues.

Main Results:

Patient-specific treatments are transitioning from research to clinical practice.
Major setbacks include the validation of computational techniques for regulatory approval.
Optimized scaffold modeling for disc and vertebroplasty shows significant promise, aided by imaging.

Conclusions:

Computational modeling is crucial for advancing spine disease treatments.
Further research is needed to address validation challenges for regulatory approval.
Imaging-driven scaffold optimization holds great potential for future spine interventions.