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Semiautomated 3D Spine Reconstruction from Biplanar Radiographic Images: Prediction of Intervertebral Loading in Scoliotic Subjects

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2017
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Title
Semiautomated 3D Spine Reconstruction from Biplanar Radiographic Images: Prediction of Intervertebral Loading in Scoliotic Subjects
Published in
Frontiers in Bioengineering and Biotechnology, January 2017
DOI 10.3389/fbioe.2017.00001
Pubmed ID
Authors

Tito Bassani, Claudia Ottardi, Francesco Costa, Marco Brayda-Bruno, Hans-Joachim Wilke, Fabio Galbusera

Abstract

The present study proposes a semiautomatic software approach to reconstruct 3D subject-specific musculoskeletal model of thoracolumbar spine from radiographic digitized images acquired with EOS system. The approach is applied to evaluate the intervertebral loads in 38 standing adolescents with mild idiopathic scoliosis. For each vertebra, a set of landmarks was manually identified on radiographic images. The landmark coordinates were processed to calculate the following vertebral geometrical properties in the 3D space (i) location (ii) dimensions; and (iii) rotations. Spherical joints simulated disks, ligaments, and facet joints. Body weight distribution, muscles forces, and insertion points were placed according to physiological-anatomical values. Inverse static analysis, calculating joints' reactions in maintaining assigned spine configuration, was performed with AnyBody software. Reaction forces were computed to quantify intervertebral loads, and correlation with the patient anatomical parameters was then checked. Preliminary validation was performed comparing the model outcomes with that obtained from other authors in previous modeling works and from in vivo measurements. The comparison with previous modeling works and in vivo studies partially fulfilled the preliminary validation purpose. However, minor incongruities were pointed out that need further investigations. The subjects' intervertebral loads were found significantly correlated with the anatomical parameters in the sagittal and axial planes. Despite preliminary encouraging results that support model suitability, future investigations to consolidate the proposed approach are necessary. Nonetheless, the present method appears to be a promising tool that once fully validated could allow the subject-specific non-invasive evaluation of a deformed spine, providing supplementary information to the routine clinical examination and surgical intervention planning.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 13 18%
Researcher 8 11%
Student > Bachelor 4 6%
Other 4 6%
Other 4 6%
Unknown 25 35%
Readers by discipline Count As %
Engineering 23 32%
Medicine and Dentistry 13 18%
Nursing and Health Professions 2 3%
Computer Science 2 3%
Psychology 2 3%
Other 2 3%
Unknown 27 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2017.
All research outputs
#18,518,987
of 22,940,083 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,422
of 6,674 outputs
Outputs of similar age
#308,275
of 417,315 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#11
of 20 outputs
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