A review of methods for quantitative evaluation of spinal curvature

Vrtovec, Tomaž; Pernuš, Franjo; Likar, Boštjan

doi:10.1007/s00586-009-0913-0

Cited by 220 publications

(177 citation statements)

References 101 publications

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“…It is noteworthy, still regarding the Cobb method for thoracic kyphosis evaluation, that it presents limitations, for despite having good intra-and interresearchers agreement values 22 , with error values ranging from 3 to 10°, it has MDC (Mininum Detectable Change) values ranging between 9 and 10°2 3 . Such MDC values reflect the amount of change in the evaluation required to determine that there was a true change and not just a measurement error 24 , i.e., the eight degrees of difference found in the study of Junges et al 20 may be a measurement error and not clinical change one.…”

Section: Discussionmentioning

confidence: 99%

Efeitos do Método Pilates na postura corporal estática de mulheres: uma revisão sistemática

et al. 2016

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Los revisores tuvieron acceso a los datos sobre los estudios (participantes, intervención y resultados), aplicaron la escala de calidad metodológica PEDro y establecieron la fuerza de evidencia por la Mejor Síntesis de Evidencia. Se incluyeron cuatro estudios, siendo tres con alto nivel de calidad, sin embargo, debido a las divergencias de resultados no fueron encontradas evidencias científicas sobre los efectos de este Método en la alienación postural. Los resultados evidencian que la práctica de más de 24 sesiones, dos veces a la semana, puede posibilitar correcciones en las alienaciones frontal de los hombros y sagital de la pelvis, en mujeres adultas, y que tras 48 sesiones se añade la mejora en la alienación sagital de la cabeza. En adultos mayores son necesarias sesenta sesiones para reducir el ángulo de la cifosis torácica y de la distancia cervical y torácica, aumentando, así, la estatura.

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Section: Discussionmentioning

confidence: 99%

Efeitos do Método Pilates na postura corporal estática de mulheres: uma revisão sistemática

et al. 2016

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“…Rather, it is well known that radiographic Cobb angle measurements in scoliosis vary by around 5 o due to inter and intra-observer error [15], so this comparison range is necessitated by the uncertainty in the radiographic measurements used for model comparison.…”

Section: Discussionmentioning

confidence: 99%

Development of a Computer Simulation Tool for Application in Adolescent Spinal Deformity Surgery

Little

Adam

2010

Biomedical Simulation

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Abstract. Scoliosis is a three-dimensional spinal deformity which requires surgical correction in progressive cases. In order to optimize correction and avoid complications following scoliosis surgery, patient-specific finite element models (FEM) are being developed and validated by our group. In this paper, the modeling methodology is described and two clinically relevant load cases are simulated for a single patient. Firstly, a pre-operative patient flexibility assessment, the fulcrum bending radiograph, is simulated to assess the model's ability to represent spine flexibility. Secondly, intra-operative forces during single rod anterior correction are simulated. Clinically, the patient had an initial Cobb angle of 44 degrees, which reduced to 26 degrees during fulcrum bending. Surgically, the coronal deformity corrected to 14 degrees. The simulated initial Cobb angle was 40 degrees, which reduced to 23 degrees following the fulcrum bending load case. The simulated surgical procedure corrected the coronal deformity to 14 degrees. The computed results for the patient-specific FEM are within the accepted clinical Cobb measuring error of 5 degrees, suggested that this modeling methodology is capable of capturing the biomechanical behaviour of a scoliotic human spine during anterior corrective surgery.

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“…The first step of our approach is to fit a third-order spline 14 (called the central spline (CS) in this paper) to a set of points located in the center of each vertebral body. These points can be provided by a user in the form of user clicks (our approach in this paper), or detected automatically using pattern recognition techniques.…”

Section: Signal Modelingmentioning

confidence: 99%

Detection of degenerative change in lateral projection cervical spine x-ray images

et al. 2015

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(2015). Detection of degenerative change in lateral projection cervical spine x-ray images. Progress in Biomedical Optics and Imaging -Proceedings of SPIE, 9414, p. 941404. doi: 10.1117/12.2082515 This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent ABSTRACTDegenerative changes to the cervical spine can be accompanied by neck pain, which can result from narrowing of the intervertebral disc space and growth of osteophytes. In a lateral x-ray image of the cervical spine, degenerative changes are characterized by vertebral bodies that have indistinct boundaries and limited spacing between vertebrae. In this paper, we present a machine learning approach to detect and localize degenerative changes in lateral x-ray images of the cervical spine. Starting from a user-supplied set of points in the center of each vertebral body, we fit a central spline, from which a region of interest is extracted and image features are computed. A Random Forest classifier labels regions as degenerative change or normal. Leave-one-out crossvalidation studies performed on a dataset of 103 patients demonstrates performance of above 95% accuracy.

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A review of methods for quantitative evaluation of spinal curvature

Cited by 220 publications

References 101 publications

Efeitos do Método Pilates na postura corporal estática de mulheres: uma revisão sistemática

Efeitos do Método Pilates na postura corporal estática de mulheres: uma revisão sistemática

Development of a Computer Simulation Tool for Application in Adolescent Spinal Deformity Surgery

Detection of degenerative change in lateral projection cervical spine x-ray images

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