Assessment of Lumbar Lordosis Distribution with a Novel Mathematical Approach and Its Adaptation for Lumbar Intervertebral Disc Degeneration.
Adolescent
Adult
Aged
Female
Humans
Image Interpretation, Computer-Assisted
/ statistics & numerical data
Intervertebral Disc Degeneration
/ diagnostic imaging
Lordosis
/ diagnostic imaging
Lumbar Vertebrae
/ diagnostic imaging
Magnetic Resonance Imaging
/ statistics & numerical data
Male
Mathematical Concepts
Middle Aged
Reproducibility of Results
Software
Young Adult
Journal
Computational and mathematical methods in medicine
ISSN: 1748-6718
Titre abrégé: Comput Math Methods Med
Pays: United States
ID NLM: 101277751
Informations de publication
Date de publication:
2020
2020
Historique:
received:
03
09
2019
revised:
09
01
2020
accepted:
04
02
2020
entrez:
8
5
2020
pubmed:
8
5
2020
medline:
9
2
2021
Statut:
epublish
Résumé
Low back pain and disc degeneration could be linked to global spinal geometry. Our study aimed to develop a reliable new mathematical method to assess the local distribution of total lumbar lordosis with a single numeric parameter and compare it with lumbar intervertebral disc degeneration using routine MRI scans. An online, open access, easy-to-use platform for measurements was developed based on a novel mathematical approach using MRIs of 60 patients. Our Spinalyze Software can be used online with uploaded MRIs. Several new parameters were introduced and assessed to describe variation in segmental lordosis distribution with a single numerical value. The Pfirrmann grading system was used for the classification of lumbar intervertebral disc degeneration. Relationships were investigated between the grade categories of L1-S1 lumbar discs and the MRI morphological parameters with correlation analysis. Results confirm that the determination of measurement points and calculated parameters are reliable (ICCs and Pearson Spinalyze Software based on a novel mathematical approach provides a free, easy-to-use, reliable, and online measurement tool using standard MRIs to approximate the curvature of lumbar lordosis. The new reliable
Identifiants
pubmed: 32377225
doi: 10.1155/2020/7312125
pmc: PMC7180428
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
7312125Informations de copyright
Copyright © 2020 Zoltan Sandor et al.
Déclaration de conflit d'intérêts
The authors disclose that they have no financial or personal relationships with other people or organizations that could inappropriately influence their work. The authors declare that they have no conflicts of interest.
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