A Review of Finite Element Analysis in Spine Surgery Decision-Making

Finite element analysis is widely used to study spinal biomechanics and to compare surgical strategies under controlled loading conditions. By allowing variation in alignment, fixation, and implant design, these models provide insight into stress redistribution and motion changes that are difficult to isolate experimentally. This review examines spine surgery-focused finite element studies published between 2018 and 2024, with emphasis on interbody fusion techniques, adjacent segment mechanics, and implant-related stress behavior. Across lumbar fusion models, constructs incorporating anterior column support demonstrate lower posterior instrumentation stress than posterior-only approaches, with lateral lumbar interbody techniques showing reduced rod and screw stresses across multiple loading conditions compared with posterior lumbar interbody or posterolateral fusion constructs. In the cervical spine, comparisons of plated and zero-profile anterior cervical discectomy and fusion devices show smaller increases in adjacent-level motion and intradiscal pressure with zero-profile constructs, alongside higher localized stress at fixation interfaces. More recent studies apply finite element methods to implant optimization, alignment planning, and patient-specific modeling. Together, these findings suggest that finite element analysis is increasingly used to support surgical planning and implant design, with continued advances in validation and patient-specific simulation likely to strengthen its clinical relevance.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2026-03-27
DOI
https://doi.org/10.3390/jcm15072584
Primary Topic
Cervical and Thoracic Myelopathy
Type
article
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article

A Review of Finite Element Analysis in Spine Surgery Decision-Making

Joshua Roemer, Zachary Comella, Elizabeth Beaulieu, Maohua Lin et al.
Journal of Clinical Medicine
Cervical and Thoracic Myelopathy
article

A Review of Finite Element Analysis in Spine Surgery Decision-Making

Joshua Roemer, Zachary Comella, Elizabeth Beaulieu, Maohua Lin, Jaden Wise, Isabella Merem, Frank D. Vrionis, Rosstin Afsahi, Talha S. Cheema, Richard Sharp
article en

Abstract

Finite element analysis is widely used to study spinal biomechanics and to compare surgical strategies under controlled loading conditions. By allowing variation in alignment, fixation, and implant design, these models provide insight into stress redistribution and motion changes that are difficult to isolate experimentally. This review examines spine surgery-focused finite element studies published between 2018 and 2024, with emphasis on interbody fusion techniques, adjacent segment mechanics, and implant-related stress behavior. Across lumbar fusion models, constructs incorporating anterior column support demonstrate lower posterior instrumentation stress than posterior-only approaches, with lateral lumbar interbody techniques showing reduced rod and screw stresses across multiple loading conditions compared with posterior lumbar interbody or posterolateral fusion constructs. In the cervical spine, comparisons of plated and zero-profile anterior cervical discectomy and fusion devices show smaller increases in adjacent-level motion and intradiscal pressure with zero-profile constructs, alongside higher localized stress at fixation interfaces. More recent studies apply finite element methods to implant optimization, alignment planning, and patient-specific modeling. Together, these findings suggest that finite element analysis is increasingly used to support surgical planning and implant design, with continued advances in validation and patient-specific simulation likely to strengthen its clinical relevance.

Journal of Clinical MedicineVol. 15(7)
Boca Raton Regional Hospital (US), Florida Atlantic University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Cervical and Thoracic Myelopathy
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A Review of Finite Element Analysis in Spine Surgery Decision-Making — Joshua Roemer, Zachary Comella, et al. · Journal of Clinical Medicine (2026) | TGRS Research Map | TGRS