Evidence map›Paper›PMID 41405667›Full record

ArticleAnnals of biomedical engineering2026

Optimization of Bone Cement Stiffness in Metastatic Vertebral Augmentation: Balancing Strength Restoration and Stress Redistribution.

Mehran Fereydoonpour, Asghar Rezaei, Lichun Lu, Mariusz Ziejewski, Ghodrat Karami

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mehran FereydoonpourDepartment of Mechanical Engineering, North Dakota State University, Fargo, ND, 58108-6050, USA.
Asghar RezaeiDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
Lichun LuDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.
Mariusz ZiejewskiDepartment of Mechanical Engineering, North Dakota State University, Fargo, ND, 58108-6050, USA.
Ghodrat KaramiDepartment of Mechanical Engineering, North Dakota State University, Fargo, ND, 58108-6050, USA. g.karami@ndsu.edu.ORCID http://orcid.org/0000-0002-0815-0850

Funding

A patient-specific computational technique to predict spine injury risks associated with physical activitiesK25AG068368 · NIA · MAYO CLINIC ROCHESTER · PI REZAEI, ASGHAR · 2021 to 2025
$737k
NIH HHS K25AG068368NIH HHS R01AR56212
6 · The paper itself

Abstract

purposeThe goal of this study was to investigate the mechanical performance of vertebral augmentation with various polymer-based materials across different defect sizes. Specifically, this study aimed to identify the optimal stiffness of bone cement that maximizes vertebral strength while minimizing stress redistribution.

methodA calibrated quantitative computed tomography-based finite element analysis (QCT/FEA) approach was developed and calibrated against cadaveric experimental data. Lytic metastatic defects were simulated in human vertebrae at two augmentation volumes (20 and 50%) and filled with materials spanning a wide range of elastic moduli (50 to 2500 MPa). Stress distributions and fracture forces were analyzed in six vertebrae to evaluate the influence of material stiffness and augmentation size.

resultsThe QCT/FEA models accurately predicted vertebral strength (R

conclusionsThe findings suggest that a bone cement stiffness of approximately 300 MPa may provide optimal mechanical benefits by enhancing vertebral strength without inducing excessive stress redistribution. The study also highlights that augmentation size strongly influences the mechanical outcomes, with larger augmentation volumes showing greater sensitivity to material stiffness. The proposed patient-specific QCT/FEA framework provides a cost-efficient, adaptable tool for preclinical evaluation and personalized planning of vertebral augmentation These insights can assist material developers in optimizing bone cement formulations for patient-specific treatments.

Indexed as

Bone CementsSpinal FracturesSpinal NeoplasmsSpineVertebroplastyElastic ModulusFemaleFinite Element AnalysisHumansMaleStress, MechanicalBone CementsBone cementDefect sizeOptimizationPatient-specific modelingQCT/FEAStress redistributionVertebral augmentation

Identifiers

PMID41405667
PMCPMC13035587

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.