Literature DB >> 16847587

The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo.

D Mueller1, T M Link, R Monetti, J Bauer, H Boehm, V Seifert-Klauss, E J Rummeny, G E Morfill, C Raeth.   

Abstract

INTRODUCTION: The purpose of this study was to obtain different structure measures as the three-dimensional (3D)-based scaling index method (SIM) and standard two-dimensional (2D) bone histomorphometric parameters from high-resolution (HR) magnetic resonance (MR) images of the distal radius and to compare these parameters with bone mineral density (BMD) in their diagnostic performance to differentiate postmenopausal patients with and without vertebral fractures.
METHODS: Axial HR-MR images of the distal radius were obtained at 1.5 T in 40 postmenopausal women (17 with osteoporotic spine fractures and 23 controls). Trabecular microarchitecture analysis was performed using the new structure measure mP(alpha), derived from the SIM, as well as standard morphological 2D parameters. BMD of the spine was obtained using quantitative computed tomography (QCT). Receiver operating characteristic (ROC) analyses were used to determine diagnostic performance in differentiating both groups. Results were validated by bootstrapping techniques.
RESULTS: Significant differences between both patient groups were obtained using mP(alpha), 2D parameters, and spine BMD (p<0.05). In comparison with the 2D texture parameters [area under the curve (AUC) up to 0.67], diagnostic performance was significantly higher for mP(alpha)(AUC=0.85; p<0.05). There was a trend for a higher AUC value for mP(alpha) compared with BMD of the spine (AUC=0.71; p=0.81).
CONCLUSION: mP(alpha) yielded a robust measure of trabecular bone microarchitecture for HR-MR images of the radius, which significantly improved the diagnostic performance in differentiating postmenopausal women with and without osteoporotic spine fractures compared with standard 2D bone histomorphometric parameters. This 3D characterization of trabecular microarchitecture may provide a new approach to better assess the strength of human cancellous bone using HR-MR image data.

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Year:  2006        PMID: 16847587     DOI: 10.1007/s00198-006-0130-1

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  25 in total

1.  The ability of three-dimensional structural indices to reflect mechanical aspects of trabecular bone.

Authors:  D Ulrich; B van Rietbergen; A Laib; P Rüegsegger
Journal:  Bone       Date:  1999-07       Impact factor: 4.398

2.  Scaling-index method as an image processing tool in scanning-probe microscopy.

Authors:  F Jamitzky; R W Stark; W Bunk; S Thalhammer; C Rath; T Aschenbrenner; G E Morfill; W M Heckl
Journal:  Ultramicroscopy       Date:  2001-01       Impact factor: 2.689

3.  Three-dimensional nuclear magnetic resonance microimaging of trabecular bone.

Authors:  H W Chung; F W Wehrli; J L Williams; S L Wehrli
Journal:  J Bone Miner Res       Date:  1995-10       Impact factor: 6.741

4.  Trabecular bone structure of the calcaneus: preliminary in vivo MR imaging assessment in men with osteoporosis.

Authors:  Nathalie Boutry; Bernard Cortet; Patrick Dubois; Xavier Marchandise; Anne Cotten
Journal:  Radiology       Date:  2003-04-03       Impact factor: 11.105

5.  Bone histomorphometry: standardization of nomenclature, symbols, and units. Report of the ASBMR Histomorphometry Nomenclature Committee.

Authors:  A M Parfitt; M K Drezner; F H Glorieux; J A Kanis; H Malluche; P J Meunier; S M Ott; R R Recker
Journal:  J Bone Miner Res       Date:  1987-12       Impact factor: 6.741

6.  Evaluation of technical factors affecting the quantification of trabecular bone structure using magnetic resonance imaging.

Authors:  S Majumdar; D Newitt; M Jergas; A Gies; E Chiu; D Osman; J Keltner; J Keyak; H Genant
Journal:  Bone       Date:  1995-10       Impact factor: 4.398

7.  Bone structure of the distal radius and the calcaneus vs BMD of the spine and proximal femur in the prediction of osteoporotic spine fractures.

Authors:  Thomas M Link; Volker Vieth; Julia Matheis; David Newitt; Ying Lu; Ernst J Rummeny; Sharmila Majumdar
Journal:  Eur Radiol       Date:  2001-10-05       Impact factor: 5.315

8.  A comparison of bone densitometry measurements of the central skeleton in post-menopausal women with and without vertebral fracture.

Authors:  F Duboeuf; M Jergas; A M Schott; C Y Wu; C C Glüer; H K Genant
Journal:  Br J Radiol       Date:  1995-07       Impact factor: 3.039

9.  Correlation of trabecular bone structure with age, bone mineral density, and osteoporotic status: in vivo studies in the distal radius using high resolution magnetic resonance imaging.

Authors:  S Majumdar; H K Genant; S Grampp; D C Newitt; V H Truong; J C Lin; A Mathur
Journal:  J Bone Miner Res       Date:  1997-01       Impact factor: 6.741

10.  Vertebral size in elderly women with osteoporosis. Mechanical implications and relationship to fractures.

Authors:  V Gilsanz; M L Loro; T F Roe; J Sayre; R Gilsanz; E E Schulz
Journal:  J Clin Invest       Date:  1995-05       Impact factor: 14.808

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  10 in total

1.  Cortical and trabecular bone structure analysis at the distal radius-prediction of biomechanical strength by DXA and MRI.

Authors:  Thomas Baum; Melanie Kutscher; Dirk Müller; Christoph Räth; Felix Eckstein; Eva-Maria Lochmüller; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2012-11-22       Impact factor: 2.626

2.  Prolonged performance of a high repetition low force task induces bone adaptation in young adult rats, but loss in mature rats.

Authors:  Vicky S Massicotte; Nagat Frara; Michele Y Harris; Mamta Amin; Christine K Wade; Steven N Popoff; Mary F Barbe
Journal:  Exp Gerontol       Date:  2015-10-27       Impact factor: 4.032

3.  Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.

Authors:  Chien-Chun Yang; Mahesh B Nagarajan; Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M Link; Axel Wismüller
Journal:  J Electron Imaging       Date:  2014-01-09       Impact factor: 0.945

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

5.  Experimental hip fracture load can be predicted from plain radiography by combined analysis of trabecular bone structure and bone geometry.

Authors:  P Pulkkinen; T Jämsä; E-M Lochmüller; V Kuhn; M T Nieminen; F Eckstein
Journal:  Osteoporos Int       Date:  2007-09-22       Impact factor: 4.507

6.  Local topological analysis of densitometer-generated scan images of the proximal femur for differentiation between patients with hip fracture and age-matched controls.

Authors:  H F Boehm; J Lutz; A Horng; M Notohamiprodjo; A Panteleon; K-J Pfeifer; M Reiser
Journal:  Osteoporos Int       Date:  2008-08-07       Impact factor: 4.507

7.  Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.

Authors:  T Baum; J Carballido-Gamio; M B Huber; D Müller; R Monetti; C Räth; F Eckstein; E M Lochmüller; S Majumdar; E J Rummeny; T M Link; J S Bauer
Journal:  Osteoporos Int       Date:  2009-10-27       Impact factor: 4.507

8.  Use of MR-based trabecular bone microstructure analysis at the distal radius for osteoporosis diagnostics: a study in post-menopausal women with breast cancer and treated with aromatase inhibitor.

Authors:  Thomas Baum; Dimitrios C Karampinos; Vanadin Seifert-Klauss; Tsvetelina D Pencheva; Pia M Jungmann; Ernst J Rummeny; Dirk Müller; Jan S Bauer
Journal:  Clin Cases Miner Bone Metab       Date:  2016-05-11

Review 9.  Standard radiography: untapped potential in the assessment of osteoporotic fracture risk.

Authors:  Pasi Pulkkinen; Simo Saarakkala; Miika T Nieminen; Timo Jämsä
Journal:  Eur Radiol       Date:  2012-11-28       Impact factor: 5.315

10.  Validation of quantitative magnetic resonance imaging-based apparent bone volume fraction in peri-articular tibial bone of cadaveric knees.

Authors:  Jeffrey B Driban; Mary F Barbe; Mamta Amin; Neil S Kalariya; Ming Zhang; Grace H Lo; Anna M Tassinari; Daniel Harper; Lori Lyn Price; Charles B Eaton; Erika Schneider; Timothy E McAlindon
Journal:  BMC Musculoskelet Disord       Date:  2014-04-29       Impact factor: 2.362

  10 in total

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