Literature DB >> 12522710

The reliability of quantitative analysis on digital images of the scoliotic spine.

John Cheung1, Dirk J Wever, Albert G Veldhuizen, Jean P Klein, Bert Verdonck, Rutger Nijlunsing, Jan C Cool, Jim R Van Horn.   

Abstract

Although analysis of scoliotic deformity is still studied extensively by means of conventional roentgenograms, computer-assisted digital analysis may allow a faster, more accurate and more complete evaluation of the scoliotic spine. In this study, a new computer-assisted measurement method was evaluated. This method uses digital reconstruction images for quantitative analysis of the scoliotic spine. The aim of the current study was to determine the reliability of the computer-assisted measuring method, which was done by establishing coefficients of repeatability for a variety of measurements. Measurements were carried out by five observers on 30 frontal and 10 lateral scoliotic digital reconstruction images. Each image was measured on three separate occasions by placing anatomical vertebral landmarks and drawing lines with a computer pointing device. The computer then calculated a number of geometrical shape parameters from scale calibration, landmarks and lines. The intra- and interobserver results were subjected to an analysis of variance to assess the level of agreement, and the means and standard deviations were calculated. The coefficient of repeatability (CR) was taken to be equal to two standard deviations. The mean intraobserver CR was found to be 3.1 degrees for the Cobb angle on the frontal digital image and 3.3 degrees for the kyphosis Cobb angle on the lateral overview. The mean difference in the intraobserver CR of the Cobb angle between measurements made by placing landmarks and those made by drawing lines was not statistically significant (P>0.05). The mean intraobserver CR for the other parameters can be summarized as follows: for lateral deviation it was 0.8 mm, for axial rotation 4.0 degrees and for length of the spine 3.3 mm. The interobserver bias was negligible. It can be concluded that the reliability of our new method for quantifying geometrical variables on digital reconstruction images is better than measurements on conventional roentgenograms in previously published reports. The presented method is therefore considered to be more accurate for research of spinal deformities and more adequate for clinical management of scoliosis.

Entities:  

Mesh:

Year:  2002        PMID: 12522710     DOI: 10.1007/s00586-001-0381-7

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  26 in total

1.  Measurement Performance of a Computer Assisted Vertebral Motion Analysis System.

Authors:  Reginald J Davis; David C Lee; Chip Wade; Boyle Cheng
Journal:  Int J Spine Surg       Date:  2015-07-17

2.  Validation of new clinical quantitative analysis software applicable in spine orthopaedic studies.

Authors:  S Champain; K Benchikh; A Nogier; C Mazel; J De Guise; W Skalli
Journal:  Eur Spine J       Date:  2005-06-17       Impact factor: 3.134

3.  Quantitative analysis in outcome assessment of instrumented lumbosacral arthrodesis.

Authors:  Sabina Champain; Christian Mazel; Anca Mitulescu; Wafa Skalli
Journal:  Eur Spine J       Date:  2007-01-10       Impact factor: 3.134

4.  Computer-generated index for evaluation of idiopathic scoliosis in digital chest images: a comparison with digital measurement.

Authors:  Fuk-hay Tang; Lawrence W C Chan; Hin-pong Lau; Po-yan Tsui; Chi-wa Cheung
Journal:  J Digit Imaging       Date:  2007-08-07       Impact factor: 4.056

Review 5.  A review of methods for quantitative evaluation of spinal curvature.

Authors:  Tomaz Vrtovec; Franjo Pernus; Bostjan Likar
Journal:  Eur Spine J       Date:  2009-02-27       Impact factor: 3.134

6.  Automatic quantification of spinal curvature in scoliotic radiograph using image processing.

Authors:  Anitha H; G K Prabhu
Journal:  J Med Syst       Date:  2011-01-26       Impact factor: 4.460

Review 7.  Measuring procedures to determine the Cobb angle in idiopathic scoliosis: a systematic review.

Authors:  S Langensiepen; O Semler; R Sobottke; O Fricke; J Franklin; E Schönau; P Eysel
Journal:  Eur Spine J       Date:  2013-02-27       Impact factor: 3.134

8.  Reliability analysis for radiographic measures of lumbar lordosis in adult scoliosis: a case-control study comparing 6 methods.

Authors:  Jae Young Hong; Seung Woo Suh; Hitesh N Modi; Chang Yong Hur; Hae Ryong Song; Jong Hoon Park
Journal:  Eur Spine J       Date:  2010-05-01       Impact factor: 3.134

9.  Predicting growth and curve progression in the individual patient with adolescent idiopathic scoliosis: design of a prospective longitudinal cohort study.

Authors:  Iris Busscher; Frits Hein Wapstra; Albert G Veldhuizen
Journal:  BMC Musculoskelet Disord       Date:  2010-05-17       Impact factor: 2.362

10.  Variability in Flexion Extension Radiographs of the Lumbar Spine: A Comparison of Uncontrolled and Controlled Bending.

Authors:  Boyle Cheng; Anthony E Castellvi; Reginald J Davis; David C Lee; Morgan P Lorio; Richard E Prostko; Chip Wade
Journal:  Int J Spine Surg       Date:  2016-05-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.