Correlations in Full-Body Postural Morphology: A Cross-Sectional Exploratory Pilot Study Using a Dual-Camera Structured Light System

Absract

Postural assessment is fundamental for the diagnosis and monitoring of musculoskeletal disorders. While single-camera structured light systems exist, they often lack the capability for simultaneous full-body capture, potentially leading to motion artifacts and incomplete analysis of the postural chain. This technical note utilizes a dual-camera architecture to explore the clinical feasibility and identify postural correlations in a healthy male sample. A cross-sectional exploratory study was conducted on 44 healthy male subjects (age 25–65 years). Posture was assessed using a Spine3D system equipped with two Time-ofFlight (ToF) cameras for instantaneous, radiation-free acquisition. Descriptive statistics and a Pearson correlation analysis (with FDR correction) were calculated for 38 postural parameters. Data normality was verified, and effect sizes were interpreted according to standard thresholds. The analysis identified that approximately 21% (148 out of 703 possible pairs) of correlations were statistically significant (p_FDR < 0.05). Among the most clinically meaningful were a strong positive correlation between cervical and lumbar lordosis (r = +0.666) and a moderate negative correlation between cervical lordosis depth and craniovertebral angle (r = −0.465), indicating that a more pronounced cervical curve is associated with a more protruded head posture. The dual-camera structured light system demonstrated potential clinical utility for a global and rapid postural assessment. The data confirm the close interdependence between various body segments, emphasizing the importance of a holistic approach. However, as an exploratory technical note, future rigorous studies are needed to establish reliability and validate these findings against radiographic gold standards.

Authors: Giuseppe Messina, Francesca Campoli, Omar Gaetano Maria Mingrino, Patrik Drid, Jessica Brusa, Dorota Kostrzewa-Nowak, Donatella Di Corrado, Elvira Padua, Angelo Iovane and Vincenzo Cristian Francavilla.

File Type: pdf
Categories: Spine3D
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