Spinal Palpation Error and Its Impact on Skin Marker-Based Spinal Alignment Measurement in Adult Spinal Deformity.

adult spinal deformity lumbar marker placement marker-based spinal alignment measurement motion analysis spinal level identification spinal palpation error thoracolumbar

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2021
Historique:
received: 29 03 2021
accepted: 31 05 2021
entrez: 19 7 2021
pubmed: 20 7 2021
medline: 20 7 2021
Statut: epublish

Résumé

Spinal alignment measurement in spinal deformity research has recently shifted from using mainly two-dimensional static radiography toward skin marker-based motion capture approaches, allowing three-dimensional (3D) assessments during dynamic conditions. The validity and accuracy of such skin marker-based methods is highly depending on correct marker placement. In this study we quantified, for the first time, the 3D spinal palpation error in adult spinal deformity (ASD) and compared it to the error in healthy spines. Secondly, the impact of incorrect marker placement on the accuracy of marker-based spinal alignment measurement was investigated. 3D, mediolateral and inferosuperior palpation errors for thoracolumbar and lumbar vertebral levels were measured on biplanar images by extracting 3D positions of skin-mounted markers and their corresponding anatomical landmarks in 20 ASD and 10 healthy control subjects. Relationships were investigated between palpation error and radiographic spinal alignment (lordosis and scoliosis), as well as body morphology [BMI and soft tissue (ST) thickness]. Marker-based spinal alignment was measured using a previously validated method, in which a polynomial is fit through the marker positions of a motion trial and which allows for radiograph-based marker position correction. To assess the impact of palpation error on spinal alignment measurement, the agreement was investigated between lordosis and scoliosis measured by a polynomial fit through, respectively, (1) the uncorrected marker positions, (2) the palpation error-corrected (optimal) marker positions, and (3) the anatomically corrected marker positions (toward the vertebral body), and their radiographic equivalents expressed as Cobb angles (ground truth), using Spearman correlations and root mean square errors (RMSE). The results of this study showed that, although overall accuracy of spinal level identification was similar across groups, mediolateral palpation was less accurate in the ASD group (ASD

Identifiants

pubmed: 34277587
doi: 10.3389/fbioe.2021.687323
pmc: PMC8281975
doi:

Types de publication

Journal Article

Langues

eng

Pagination

687323

Informations de copyright

Copyright © 2021 Severijns, Overbergh, Schmid, Moke and Scheys.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Pieter Severijns (P)

Department of Development and Regeneration, Faculty of Medicine, Institute for Orthopaedic Research and Training, KU Leuven, Leuven, Belgium.
Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.

Thomas Overbergh (T)

Department of Development and Regeneration, Faculty of Medicine, Institute for Orthopaedic Research and Training, KU Leuven, Leuven, Belgium.

Stefan Schmid (S)

Spinal Movement Biomechanics Group, Division of Physiotherapy, Department of Health Professions, Bern University of Applied Sciences, Bern, Switzerland.

Lieven Moke (L)

Department of Development and Regeneration, Faculty of Medicine, Institute for Orthopaedic Research and Training, KU Leuven, Leuven, Belgium.
Division of Orthopaedics, University Hospitals Leuven, Leuven, Belgium.

Lennart Scheys (L)

Department of Development and Regeneration, Faculty of Medicine, Institute for Orthopaedic Research and Training, KU Leuven, Leuven, Belgium.
Division of Orthopaedics, University Hospitals Leuven, Leuven, Belgium.

Classifications MeSH