Assessment of adolescent idiopathic scoliosis from body scanner image by finite element simulations

Grünwald, Alexander T.D.; Roy, Susmita; Alves-Pinto, Ana; Lampe, Renée

doi:10.1371/journal.pone.0243736

Cited by 13 publications

(21 citation statements)

References 47 publications

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“…The 3D skeletal structures of male and female rib cage models were modeled [12] with computer-aided design (CAD) software [16], based on anatomical geometries and morphometric parameters derived from literature [17,18]. A FEBio software suite [19,20], which is one of a finite element method-based [21] software tools, was then used to simulate subject-specific deformations of the vertebral column and ribcage.…”

Section: Scan Images and Rib Cage Modelmentioning

confidence: 99%

“…Since scoliosis structure is a complicated structure, therefore the deformation was mostly simulated as anisotropic material, except few parts. The geometric and an isotropic material (where used) properties were collected from Grünwald et al [12]. The element edge lengths of the elastic components varied from about 0.01 ~ mm to 23 ~ mm and thus were small in comparison to the overall geometry.…”

Section: Scan Images and Rib Cage Modelmentioning

confidence: 99%

“…The study presented here is based on the work of Roy et al [10][11][12] that reported about a camera system hereinafter referred to as a body scanner, which acquires a 3D image of the human torso for the assessment of scoliosis. It is also an attempt to find an assessment method that allows one to quantify the curvature similar to the Cobb angle without radiation exposure for the patients.…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

2022

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Purpose Adolescent scoliosis is one of the common pediatric spinal diseases which has a high risk of progression due to the rapid growth of the skeleton during the growing stage therefore needs regular clinical monitoring including X-rays. Because X-rays could lead to ionizing radiation-related health problems, an ionizing radiation-free, non-invasive method is presented here to estimate the degree of scoliosis and to potentially support the medical assessment. Methods The radiation-free body scanner provides a 3D surface scan of the torso. A basic 3D structure of the human ribcage and vertebral column was modeled and simulated with computer-aided design software and finite element method calculation. For comparison with X-rays, courses of vertebral columns derived from 3D torso images and 3D models were analyzed with respect to their apex positions and angles. Results The methods show good results in the estimation of the apex positions of scoliosis. Strong correlations (R = 0.8924) were found between the apex and Cobb angle from X-rays. Similar correlations (R = 0.8087) was obtained between the apex angles extracted from X-rays and the combination of torso scan images with 3D model simulations. Promising agreement was obtained between the spinal trajectories extracted from X-ray and 3D torso images. Conclusions Very strong correlations suggest that the apex angle could potentially be used for scoliosis assessment in follow-up examinations in complement to the Cobb angle. However, further improvements of the methods and tests on a larger number of data set are necessary before their introduction into the clinical application.

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Section: Scan Images and Rib Cage Modelmentioning

confidence: 99%

Section: Scan Images and Rib Cage Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

2022

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“…Since the current peripheral proprioception measurements are limited to measure in single plane [4], it may not be adequate to address the nature of three-dimensional deformity in AIS [7]. Prior research has employed motion analysis to investigative the three-dimensional spinal range of motion in scoliotic patients [8,9].…”

Section: Introductionmentioning

confidence: 99%

Reliability of a three-dimensional spinal proprioception assessment for patients with adolescent idiopathic scoliosis

et al. 2022

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Purpose Although it is evident that some patients with adolescent idiopathic scoliosis (AIS) have proprioceptive deficit in peripheral joints, knowledge on the proprioceptive function of the deformed spine is limited. Nonetheless, spinal proprioception in AIS may be affected three-dimensionally, prior studies only focussed on evaluating peripheral proprioception in single plane. Therefore, this study aimed to develop a novel spinal proprioception assessment using three-dimensional motion analysis in patients with AIS. Methods Participants were included if they had a primary diagnosis of AIS who did not receive or failed conservative treatments. Three trunk repositioning tests involving flexion-extension, lateral-flexion, and axial-rotation were conducted. A three-dimensional kinematics of the trunk was used as the outcome measures. The proprioceptive acuity was quantified by the repositioning error. The intra-examiner and test-retest reliability were analysed by the intraclass correlation coefficient (ICC). Results Fifty-nine patients with AIS were recruited. Regarding the trunk flexion–extension test, the single measure ICC showed moderate reliability (0.46) and the average measures ICC demonstrated good reliability (0.72). As for the trunk lateral-flexion test, the reliability of single measure and average measures ICC was moderate (0.44) and good (0.70) reliability, respectively. For the trunk axial-rotation test, the single measure ICC indicated fair reliability (0.32), while the average measures ICC showed moderate reliability (0.59). Conclusion This is the first study to evaluate the reliability of novel three-dimensional spinal proprioception assessments in patients with AIS. The trunk flexion-extension repositioning test may be preferable clinical test given its highest reliability.

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“…The need to have a non-invasive examination with three-dimensional characteristics has prompted researchers to use different methods to detect postural abnormalities analyzing the surface of the back [ 5 ]through different mathematical methods reconstructing digitally the spine. Grünwald et al [ 6 ] presented an approach to evaluate scoliosis from the three-dimensional image of a patient’s torso, captured by an ionizing radiation-free body scanner, in combination with a model of the ribcage and spine. Recently, Video-Raster-Stereography (VRS) has been proposed as an objective non-invasive method for instrumented three-dimensional (3D) back shape analysis and reconstruction of spinal curvatures and deformities without radiation exposure [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis

et al. 2021

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The aim of our study was to classify scoliosis compared to to healthy patients using non-invasive surface acquisition via Video-raster-stereography, without prior knowledge of radiographic data. Data acquisitions were made using Rasterstereography; unsupervised learning was adopted for clustering and supervised learning was used for prediction model Support Vector Machine and Deep Network architectures were compared. A M-fold cross validation procedure was performed to evaluate the results. The accuracy and balanced accuracy of the best supervised model were close to 85%. Classification rates by class were measured using the confusion matrix, giving a low percentage of unclassified patients. Rasterstereography has turned out to be a good tool to distinguish subject with scoliosis from healthy patients limiting the exposure to unnecessary radiations.

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Assessment of adolescent idiopathic scoliosis from body scanner image by finite element simulations

Cited by 13 publications

References 47 publications

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Model-Based Radiation-Free Assessment of Scoliosis: A Principle Validation Study

Reliability of a three-dimensional spinal proprioception assessment for patients with adolescent idiopathic scoliosis

Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis

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