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Estimation of spinopelvic muscles' volumes in young asymptomatic subjects: a quantitative analysis.

Type
Articles dans des revues avec comité de lecture
Author
AMABILE, Célia
358726 Hospital for Special Surgery
484605 LBM/institute de Biomécanique humaine Georges Charpak
MOAL, Bertrand
358726 Hospital for Special Surgery
CHATARA, Oussama Arous
228085 Centre de Recherche sur le Sport et le Mouvement [CeRSM]
PILLET, Hélène
484605 LBM/institute de Biomécanique humaine Georges Charpak
RAYA, Jose G.
303550 New York University Langone Medical Center [NYU Langone Medical Center]
IANNESSI, Antoine
123026 Centre de Lutte contre le Cancer Antoine Lacassagne [Nice] [UNICANCER/CAL]
SKALLI, Wafa
484605 LBM/institute de Biomécanique humaine Georges Charpak
LAFAGE, Virginie
484605 LBM/institute de Biomécanique humaine Georges Charpak
BRONSARD, Nicolas
107940 CHU Nice [Cimiez]
192636 Hôpital Pasteur [Nice] [CHU]

URI
http://hdl.handle.net/10985/17981
DOI
10.1007/s00276-016-1742-6
Date
2017
Journal
Surgical and Rediologic Anatomy

Abstract

Purpose Muscles have been proved to be a major component in postural regulation during pathological evolution or aging. Particularly, spinopelvic muscles are recruited for compensatory mechanisms such as pelvic retroversion, or knee flexion. Change in muscles’ volume could, therefore, be a marker of greater postural degradation. Yet, it is difficult to interpret spinopelvic muscular degradation as there are few reported values for young asymptomatic adults to compare to. The objective was to provide such reference values on spinopelvic muscles. A model predicting the muscular volume from reduced set of MRI segmented images was investigated. Methods A total of 23 asymptomatic subjects younger than 24 years old underwent an MRI acquisition from T12 to the knee. Spinopelvic muscles were segmented to obtain an accurate 3D reconstruction, allowing precise computation of muscle’s volume. A model computing the volume of muscular groups from less than six MRI segmented slices was investigated. Results Baseline values have been reported in tables. For all muscles, invariance was found for the shape factor [ratio of volume over (area times length): SD \0.04] and volume ratio over total volume (SD \1.2 %). A model computing the muscular volume from a combination of two to five slices has been evaluated. The five-slices model prediction error (in % of the real volume from 3D reconstruction) ranged from 6 % (knee flexors and extensors and spine flexors) to 11 % (spine extensors). Conclusion Spinopelvic muscles’ values for a reference population have been reported. A new model predicting the muscles’ volumes from a reduced set of MRI slices is proposed. While this model still needs to be validated on other populations, the current study appears promising for clinical use to determine, quantitatively, the muscular degradation.

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