Evaluation of a method to quantify posture and scapula position using biplanar radiography.


Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
May 2024
Historique:
received: 02 10 2023
revised: 26 03 2024
accepted: 10 04 2024
medline: 2 5 2024
pubmed: 2 5 2024
entrez: 1 5 2024
Statut: ppublish

Résumé

Recent studies have stated the relevance of having new parameters to quantify the position and orientation of the scapula with patients standing upright. Although biplanar radiography can provide 3D reconstructions of the scapula and the spine, it is not yet possible to acquire these images with patients in the same position. Two pairs of images were acquired, one for the 3D reconstruction of the spine and ribcage and one for the 3D reconstruction of the scapula. Following 3D reconstructions, scapular alignment was performed in two stages, a coarse alignment based on manual annotations of landmarks on the clavicle and pelvis, and an adjusted alignment. Clinical parameters were computed: protraction, internal rotation, tilt and upward rotation. Reproducibility was assessed on an in vivo dataset of upright biplanar radiographs. Accuracy was assessed using supine cadaveric CT-scans and digitally reconstructed radiographs. The mean error was less than 2° for all clinical parameters, and the 95 % confidence interval for reproducibility ranged from 2.5° to 5.3°. The confidence intervals were lower than the variability measured between participants for the clinical parameters assessed, which indicates that this method has the potential to detect different patterns in pathological populations.

Sections du résumé

BACKGROUND BACKGROUND
Recent studies have stated the relevance of having new parameters to quantify the position and orientation of the scapula with patients standing upright. Although biplanar radiography can provide 3D reconstructions of the scapula and the spine, it is not yet possible to acquire these images with patients in the same position.
METHODS METHODS
Two pairs of images were acquired, one for the 3D reconstruction of the spine and ribcage and one for the 3D reconstruction of the scapula. Following 3D reconstructions, scapular alignment was performed in two stages, a coarse alignment based on manual annotations of landmarks on the clavicle and pelvis, and an adjusted alignment. Clinical parameters were computed: protraction, internal rotation, tilt and upward rotation. Reproducibility was assessed on an in vivo dataset of upright biplanar radiographs. Accuracy was assessed using supine cadaveric CT-scans and digitally reconstructed radiographs.
FINDINGS RESULTS
The mean error was less than 2° for all clinical parameters, and the 95 % confidence interval for reproducibility ranged from 2.5° to 5.3°.
INTERPRETATION CONCLUSIONS
The confidence intervals were lower than the variability measured between participants for the clinical parameters assessed, which indicates that this method has the potential to detect different patterns in pathological populations.

Identifiants

pubmed: 38692766
pii: S1350-4533(24)00068-7
doi: 10.1016/j.medengphy.2024.104167
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Evaluation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

104167

Informations de copyright

Copyright © 2024 IPEM. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None to declare.

Auteurs

S Bousigues (S)

Arts et Métiers, Institut de Biomécanique Humaine Georges Charpak, Paris, France. Electronic address: sandrine.bousigues@ensam.eu.

L Gajny (L)

Arts et Métiers, Institut de Biomécanique Humaine Georges Charpak, Paris, France.

W Skalli (W)

Arts et Métiers, Institut de Biomécanique Humaine Georges Charpak, Paris, France.

X Ohl (X)

Hôpital Maison Blanche, CHU de Reims, France.

P Tétreault (P)

Centre Hospitalier de l'Université de Montréal, Canada.

N Hagemeister (N)

Ecole de Technologie Supérieure, Laboratoire de recherche en Imagerie et Orthopédie, Montréal, Canada.

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Classifications MeSH