Relation between Photogrammetry and Spinal Mouse for Sagittal Imbalance Assessment in Adolescents with Thoracic Kyphosis

Belli, G.; Toselli, Stefania; Latessa, Pasqualino Maietta; Russo, Luca

doi:10.3390/jfmk8020068

Cited by 6 publications

(11 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, there was no research exploring side-lying positions in this review, and all evaluated supine posture. In fact, in vivo biomechanical investigations to analyze the spine curvature were more feasible for side-lying postures using optical techniques [ 101 , 102 ], ultrasound [ 103 , 104 ], and mechanical rollers [ 105 , 106 ] on the exposed back. The requirement for optimum side-lying spine curvature is more evident, in which the spine shall be aligned horizontally [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

Computational Biomechanics of Sleep: A Systematic Mapping Review

et al. 2023

View full text Add to dashboard Cite

Biomechanical studies play an important role in understanding the pathophysiology of sleep disorders and providing insights to maintain sleep health. Computational methods facilitate a versatile platform to analyze various biomechanical factors in silico, which would otherwise be difficult through in vivo experiments. The objective of this review is to examine and map the applications of computational biomechanics to sleep-related research topics, including sleep medicine and sleep ergonomics. A systematic search was conducted on PubMed, Scopus, and Web of Science. Research gaps were identified through data synthesis on variants, outcomes, and highlighted features, as well as evidence maps on basic modeling considerations and modeling components of the eligible studies. Twenty-seven studies (n = 27) were categorized into sleep ergonomics (n = 2 on pillow; n = 3 on mattress), sleep-related breathing disorders (n = 19 on obstructive sleep apnea), and sleep-related movement disorders (n = 3 on sleep bruxism). The effects of pillow height and mattress stiffness on spinal curvature were explored. Stress on the temporomandibular joint, and therefore its disorder, was the primary focus of investigations on sleep bruxism. Using finite element morphometry and fluid–structure interaction, studies on obstructive sleep apnea investigated the effects of anatomical variations, muscle activation of the tongue and soft palate, and gravitational direction on the collapse and blockade of the upper airway, in addition to the airflow pressure distribution. Model validation has been one of the greatest hurdles, while single-subject design and surrogate techniques have led to concerns about external validity. Future research might endeavor to reconstruct patient-specific models with patient-specific loading profiles in a larger cohort. Studies on sleep ergonomics research may pave the way for determining ideal spine curvature, in addition to simulating side-lying sleep postures. Sleep bruxism studies may analyze the accumulated dental damage and wear. Research on OSA treatments using computational approaches warrants further investigation.

show abstract

Section: Discussionmentioning

confidence: 99%

Computational Biomechanics of Sleep: A Systematic Mapping Review

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Optoelectronic motion capture systems are considered the gold standard for human movement analysis [3], although they are expensive and commonly limited to laboratory environments. On the other hand, smartphone applications are low-cost and portable [4,5], but their reliability may be lower [2].…”

Section: Introductionmentioning

confidence: 99%

Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability

Roggio,

Di Grande,

Cavalieri

et al. 2024

Sensors

View full text Add to dashboard Cite

Posture analysis is important in musculoskeletal disorder prevention but relies on subjective assessment. This study investigates the applicability and reliability of a machine learning (ML) pose estimation model for the human posture assessment, while also exploring the underlying structure of the data through principal component and cluster analyses. A cohort of 200 healthy individuals with a mean age of 24.4 ± 4.2 years was photographed from the frontal, dorsal, and lateral views. We used Student’s t-test and Cohen’s effect size (d) to identify gender-specific postural differences and used the Intraclass Correlation Coefficient (ICC) to assess the reliability of this method. Our findings demonstrate distinct sex differences in shoulder adduction angle (men: 16.1° ± 1.9°, women: 14.1° ± 1.5°, d = 1.14) and hip adduction angle (men: 9.9° ± 2.2°, women: 6.7° ± 1.5°, d = 1.67), with no significant differences in horizontal inclinations. ICC analysis, with the highest value of 0.95, confirms the reliability of the approach. Principal component and clustering analyses revealed potential new patterns in postural analysis such as significant differences in shoulder–hip distance, highlighting the potential of unsupervised ML for objective posture analysis, offering a promising non-invasive method for rapid, reliable screening in physical therapy, ergonomics, and sports.

show abstract

“…In association with radiographic investigation, several non-radiographic methods have been proposed to perform a safe and useful assessment for young patients [16,17]. Inside this scenario, Spinal Mouse ® and photogrammetry have been previously investigated and represented quick and non-invasive tools for adolescent idiopathic scoliosis and thoracic hyperkyphosis evaluation [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…Although the relationship between radiographic and photogrammetric procedures has been previously investigated to quantify specific sagittal parameters, the comparison between Spinal Mouse ® and photogrammetry for lumbopelvic assessment is still lacking. Recently, Belli et al analyzed the relation between these two devices in young people with kyphotic posture, and the main focus was addressed on spinal thoracic parameters [19].…”

Section: Introductionmentioning

confidence: 99%

Relation between Photogrammetry and Spinal Mouse for Lumbopelvic Assessment in Adolescents with Thoracic Kyphosis

Belli,

Russo,

Mauro

et al. 2024

Healthcare

Self Cite

View full text Add to dashboard Cite

The evaluation of the lumbopelvic region is a crucial point during postural assessment in childhood and adolescence. Photogrammetry (PG) and Spinal Mouse (SM) are two of the most debated tools to properly analyze postural alignment and avoid misleading data. This study aims to find out the best linear regression model that could relate the analytic measurements of the SM with one or more PG parameters in adolescents with kyphotic postures. Thirty-nine adolescents (female = 35.9%) with structural and non-structural kyphosis were analyzed (13.2 ± 1.8 years; 1.59 ± 0.12 m; 47.6 ± 11.8 kg) using the SM and PG on the sagittal plane in a standing and forward-bending position, allowing for the measurement of body vertical inclination, lumbar and pelvic alignment, trunk flexion, sacral inclination during bending, and hip position during bending. Lordosis lumbar angles (SM) were significantly (r = −0.379, r = −0.328) correlated with the SIPS-SIAS angle (PG) during upright standing, while in the bending position, the highest correlation appeared among the sacral–hip (SM) and the sacral tangent (ST_PG; r = −0.72) angles. The stepwise backward procedure was assessed to estimate the SM variability in the bending and standing positions. Only in the bending position did the linear regression model reach high goodness-of-fit values with two regressors (ST_PG η2=0.504, BMI η2=0.252; adjusted- R2 =0.558, p < 0.001, CCC = 0.972, r = 0.763). Despite gold-standard methods reducing error evaluation, physicians and kinesiologists may consider photogrammetry as a good method for spinal curve prediction.

show abstract

Relation between Photogrammetry and Spinal Mouse for Sagittal Imbalance Assessment in Adolescents with Thoracic Kyphosis

Cited by 6 publications

References 51 publications

Computational Biomechanics of Sleep: A Systematic Mapping Review

Computational Biomechanics of Sleep: A Systematic Mapping Review

Biomechanical Posture Analysis in Healthy Adults with Machine Learning: Applicability and Reliability

Relation between Photogrammetry and Spinal Mouse for Lumbopelvic Assessment in Adolescents with Thoracic Kyphosis

Contact Info

Product

Resources

About