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Redefining physiological whole-body alignment according to pelvic incidence: normative values and prediction models

Article dans une revue avec comité de lecture
Author
ccKHALIFÉ, Marc
300119 Hôpital Européen Georges Pompidou [APHP] [HEGP]
557826 Université Paris Cité [UPCité]
ccSKALLI, Wafa
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccVERGARI, Claudio
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccGUIGUI, Pierre
557826 Université Paris Cité [UPCité]
300119 Hôpital Européen Georges Pompidou [APHP] [HEGP]
ccVALENTIN, Rémi
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]
ccATTALI, Valerie
353778 CHU Pitié-Salpêtrière [AP-HP]
542093 Neurophysiologie Respiratoire Expérimentale et Clinique [UMRS 1158]
ccGILLE, Olivier
408207 CHU de Bordeaux Pellegrin [Bordeaux]
ccLAFAGE, Virginie
KIM, Han Jo
358726 Hospital for Special Surgery
ASSI, Ayman
301405 Université Saint-Joseph de Beyrouth [USJ]
FERRERO, Emmanuelle
300119 Hôpital Européen Georges Pompidou [APHP] [HEGP]
557826 Université Paris Cité [UPCité]

URI
http://hdl.handle.net/10985/26363
DOI
10.1007/s00586-025-08872-3
Date
2025-04
Journal
European Spine Journal

Abstract

Background context Spinopelvic alignment assessment needs to account for pelvic incidence (PI). Purpose This study aimed at providing normative values for commonly used parameters in whole-body alignment analysis based on PI. Design Multicentric prospective study. Patient sample This study included healthy volunteers with full-body biplanar radiograph in free-standing position. Outcome measures All radiographic data were collected from 3D reconstructions: Sagittal vertical axis (SVA), T1 pelvic angle (TPA), spino-sacral angle (SSA), sagittal odontoid-hip axis angle (ODHA), pelvic parameters, sacro-femoral angle (SFA), knee flexion angle (KFA), ankle flexion angle (AA), Pelvic shift (PSh), lumbar lordosis (LL), thoracic kyphosis (TK) and cervical lordosis (CL). Methods Population was divided into five groups according to PI. Normative values were described for each group. Linear regressions including age and PI provided prediction formulas for PT, TPA, SSA and SFA. Results 642 subjects were included. Mean age was 37.7 ± 16.3 years (range: 18–90). Mean PI in the cohort was 49.3 ± 9.5°. LL, PT, SFA, SSA and TPA correlated with PI and age. ODHA, TK, CL and the other lower limb parameters were not associated with PI. All normative values across PI groups are provided for segmental, regional and global alignment parameters. Prediction formulas were: PT=-12.7 + 0.38*PI + 0.14*Age, TPA=-16.9 + 0.34*PI + 0.15*Age, SSA = 109.8 + 0.58*PI-0.19*Age, and SFA = 173 + 0.39*PI + 0.11*Age. Conclusions SSA, PT, TPA and SFA must be assessed according to patient’s PI. This study provides normative values for each PI group, and predictive formulas taking age and PI into account. PI cannot be used to define thoracic and cervical curvatures.

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