Paper Info
Title
Prediction of scoliosis progression with serial three-dimensional spinal curves and the artificial progression surface technique.
Abstract
Adolescent idiopathic scoliosis (AIS) progression is clinically monitored by a series of full spinal X-rays. To decrease radiation exposure, an artificial progression surface (APS) is proposed to predict progression. Fifty-six acquisitions (posteroanterior radiographs, 0° and 20°) were obtained from 11 AIS patients (29.8 ± 9.6° Cobb angle). Three-dimensional curves were constructed through vertebral pedicle centers. Three previous serial spinal curves (6-month intervals) were used to construct an APS with a Non-uniform Rational B-Spline surfacing technique. Future progression was achieved by aligning the curves on the APS using the generalized cross-validation extrapolation technique. With three and four previous serial spinal curves, the prediction accuracies of future progression at the next 6-month interval were 4.1 ± 3.3° for Cobb angles and 3.6 ± 3.5 mm for apex lateral deviations. Apex locations and Cobb regions varied within one vertebral level. The proposed technique shows potential as an accurate three-dimensional prediction method for AIS progression and could help pediatricians make decisions about treatment. However, it could only be applied once before more radiographic data would be needed.
Year
DOI
Venue
2010
10.1007/s11517-010-0654-6
Med. Biol. Engineering and Computing
Keywords
Field
DocType
scoliosisdisease progressionprediction � artificial progression surfaceradiography,three dimensional
Nuclear medicine,Computer vision,Scoliosis,Vertebral level,Disease progression,Cobb angle,Radiography,Artificial intelligence,Radiation exposure,Surgery,Vertebral pedicle,Mathematics
Journal
Volume
Issue
ISSN
48
11
1741-0444
Citations 
PageRank 
References 
6
0.99
2
Authors
7
Name
Order
Citations
PageRank
Hongfa Wu161.33
Janet L Ronsky2174.51
Farida Cheriet348261.48
Jessica Küpper460.99
James Harder561.33
Deyi Xue615019.11
Ronald F Zernicke761.67