Evidence map›Paper›PMID 37636342›Full record

ReviewNorth American Spine Society journal2023

Finite element modeling of the human cervical spinal cord and its applications: A systematic review.

Ishan Singhal, Balaji Harinathan, Ali Warraich, Yuvaraj Purushothaman, Matthew D Budde, Narayan Yoganandan, Aditya Vedantam

Open access · goldAbstract readReview
In one paragraph

Review in North American Spine Society journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

7 authors at 2 institutions in 1 country.

Ishan SinghalDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Balaji HarinathanDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Ali WarraichUniversity of Chicago, 1413 East 57 St, Chicago, IL 60637, United States.
Yuvaraj PurushothamanDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Matthew D BuddeDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Narayan YoganandanDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Aditya VedantamDepartment of Neurosurgery, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, United States.
Medical College of Wisconsin · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Context: Finite element modeling (FEM) is an established tool to analyze the biomechanics of complex systems. Advances in computational techniques have led to the increasing use of spinal cord FEMs to study cervical spinal cord pathology. There is considerable variability in the creation of cervical spinal cord FEMs and to date there has been no systematic review of the technique. The aim of this study was to review the uses, techniques, limitations, and applications of FEMs of the human cervical spinal cord. Methods: A literature search was performed through PubMed and Scopus using the words finite element analysis, spinal cord, and biomechanics. Studies were selected based on the following inclusion criteria: (1) use of human spinal cord modeling at the cervical level; (2) model the cervical spinal cord with or without the osteoligamentous spine; and (3) the study should describe an application of the spinal cord FEM. Results: Our search resulted in 369 total publications, 49 underwent reviews of the abstract and full text, and 23 were included in the study. Spinal cord FEMs are used to study spinal cord injury and trauma, pathologic processes, and spine surgery. Considerable variation exists in the derivation of spinal cord geometries, mathematical models, and material properties. Less than 50% of the FEMs incorporate the dura mater, cerebrospinal fluid, nerve roots, and denticulate ligaments. Von Mises stress, and strain of the spinal cord are the most common outputs studied. FEM offers the opportunity for dynamic simulation, but this has been used in only four studies. Conclusions: Spinal cord FEM provides unique insight into the stress and strain of the cervical spinal cord in various pathological conditions and allows for the simulation of surgical procedures. Standardization of modeling parameters, anatomical structures and inclusion of patient-specific data are necessary to improve the clinical translation.

Indexed as

BiomechanicsCervical spinal cordFinite element modelingLigamentum flavum hypertrophyOssification of the posterior longitudinal ligamentSpinal cord injurySpine surgeryTrauma

Identifiers

PMID37636342
PMCPMC10448221
OpenAlexW4385325563

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.