Evidence map›Paper›PMID 39579503›Full record

ArticleJournal of the mechanical behavior of biomedical materials2025

Prediction of vertebral failure under general loadings of compression, flexion, extension, and side-bending.

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

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biomechanical effects of defect size and location on vertebral fracture.Journal of medical and biological engineering · 2025
    Article
  5. Article
  6. Article
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

6 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.
Areonna SchreiberDepartment 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. Electronic address: g.karami@ndsu.edu.

Funding

Metastatic Spine Tumors: Minimally Invasive Fracture Risk Analysis and Treatment - MasterR01AR056212 · NIAMS · MAYO CLINIC ROCHESTER · PI Benjamin D Elder, Lichun Lu · 2008 to 2026
$6.2M
Mayo Clinic Center for Translational Science ActivitiesTL1TR000137 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$2.1M
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
NCATS NIH HHS TL1 TR000137NIAMS NIH HHS R01 AR056212NIA NIH HHS K25 AG068368
6 · The paper itself

Abstract

Bone pathologies such as osteoporosis and metastasis can significantly compromise the load-bearing capacity of the spinal column, increasing the risk of vertebral fractures, some of which may occur during routine physical activities. Currently, there is no clinical tool that accurately assesses the risk of vertebral fractures associated with these activities in osteoporotic and metastatic spines. In this paper, we develop and validate a quantitative computed tomography-based finite element analysis (QCT/FEA) method to predict vertebral fractures under general load conditions that simulate flexion, extension, and side-bending movements, reflecting the body's activities under various scenarios. Initially, QCT/FEA models of cadaveric spine cohorts were developed. The accuracy and verification of the methodology involved comparing the fracture force outcomes to those experimentally observed and measured under pure compression loading scenarios. The findings revealed a strong correlation between experimentally measured failure loads and those estimated computationally (R

Indexed as

Compressive StrengthFinite Element AnalysisSpinal FracturesWeight-BearingAgedBiomechanical PhenomenaFemaleHumansMaleMaterials TestingSpineStress, MechanicalTomography, X-Ray ComputedFailure forcePhysical activitiesQCT/FEAVertebral fracture

Identifiers

PMID39579503
PMCPMC12690635

What OpenQuestion holds

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Registered trials

None linked

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.