Literature DB >> 9448755

Assessment of trabecular structure using high resolution CT images and texture analysis.

T M Link1, S Majumdar, J C Lin, P Augat, R G Gould, D Newitt, X Ouyang, T F Lang, A Mathur, H K Genant.   

Abstract

PURPOSE: Our goal was to use high resolution (HR) CT images combined with texture analysis to investigate the trabecular structure of human vertebral specimens and to compare these techniques with bone mineral density (BMD) in the prediction of bone strength.
METHOD: HR CT images with a slice thickness of 1 mm were obtained of 28 bone cubes. Four different groups of texture analysis techniques were used to assess these images. In addition, quantitative CT (QCT) was performed and elastic modulus (EM) was determined biomechanically.
RESULTS: R2 between EM and BMD was 0.78 (p < 0.01). R2 values for EM versus most of the texture measures were also significant. Texture measures in addition to measures of BMD in a multivariate regression model significantly increased R2 up to 0.87.
CONCLUSION: In an experimental setting, texture parameters calculated using HR CT images correlated significantly with EM. Combining texture measures with BMD improved the prediction of EM significantly.

Entities:  

Keywords:  Non-programmatic

Mesh:

Year:  1998        PMID: 9448755     DOI: 10.1097/00004728-199801000-00003

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  15 in total

1.  Three-dimensional texture analysis of cancellous bone cores evaluated at clinical CT resolutions.

Authors:  Chad Showalter; Bradley D Clymer; Bradford Richmond; Kimerly Powell
Journal:  Osteoporos Int       Date:  2005-09-17       Impact factor: 4.507

2.  Anorexia Nervosa: Analysis of Trabecular Texture with CT.

Authors:  Azadeh Tabari; Martin Torriani; Karen K Miller; Anne Klibanski; Mannudeep K Kalra; Miriam A Bredella
Journal:  Radiology       Date:  2016-10-31       Impact factor: 11.105

Review 3.  Clinical utility of microarchitecture measurements of trabecular bone.

Authors:  Julio Carballido-Gamio; Sharmila Majumdar
Journal:  Curr Osteoporos Rep       Date:  2006-06       Impact factor: 5.096

4.  Extraction of 3D Femur Neck Trabecular Bone Architecture from Clinical CT Images in Osteoporotic Evaluation: a Novel Framework.

Authors:  V Sapthagirivasan; M Anburajan; S Janarthanam
Journal:  J Med Syst       Date:  2015-07-03       Impact factor: 4.460

Review 5.  Noninvasive assessment of bone structure.

Authors:  Tamara J Vokes; Murray J Favus
Journal:  Curr Osteoporos Rep       Date:  2003-06       Impact factor: 5.096

6.  Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength?

Authors:  Thomas Baum; Martin Gräbeldinger; Christoph Räth; Eduardo Grande Garcia; Rainer Burgkart; Janina M Patsch; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2013-04-20       Impact factor: 2.626

7.  New techniques for cartilage magnetic resonance imaging relaxation time analysis: texture analysis of flattened cartilage and localized intra- and inter-subject comparisons.

Authors:  Julio Carballido-Gamio; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2008-06       Impact factor: 4.668

8.  MRI texture analysis of subchondral bone at the tibial plateau.

Authors:  James W MacKay; Philip J Murray; Bahman Kasmai; Glyn Johnson; Simon T Donell; Andoni P Toms
Journal:  Eur Radiol       Date:  2015-12-17       Impact factor: 5.315

9.  Laws' masks descriptors applied to bone texture analysis: an innovative and discriminant tool in osteoporosis.

Authors:  M Rachidi; A Marchadier; C Gadois; E Lespessailles; C Chappard; C L Benhamou
Journal:  Skeletal Radiol       Date:  2008-06       Impact factor: 2.199

10.  Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis.

Authors:  L Khojastepour; M Hasani; M Ghasemi; A R Mehdizadeh; F Tajeripour
Journal:  J Biomed Phys Eng       Date:  2019-02-01
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