Literature DB >> 21361210

Comparison of radiograph-based texture analysis and bone mineral density with three-dimensional microarchitecture of trabecular bone.

P Ranjanomennahary1, S Sevestre Ghalila, D Malouche, A Marchadier, M Rachidi, Cl Benhamou, C Chappard.   

Abstract

PURPOSE: Hip fracture is a serious health problem and textural methods are being developed to assess bone quality. The authors aimed to perform textural analysis at femur on high-resolution digital radiographs compared to three-dimensional (3D) microarchitecture comparatively to bone mineral density.
METHODS: Sixteen cadaveric femurs were imaged with an x-ray device using a C-MOS sensor. One 17 mm square region of interest (ROI) was selected in the femoral head (FH) and one in the great trochanter (GT). Two-dimensional (2D) textural features from the co-occurrence matrices were extracted. Site-matched measurements of bone mineral density were performed. Inside each ROI, a 16 mm diameter core was extracted. Apparent density (Dapp) and bone volume proportion (BV/TV(Arch)) were measured from a defatted bone core using Archimedes' principle. Microcomputed tomography images of the entire length of the core were obtained (Skyscan 1072) at 19.8 microm of resolution and usual 3D morphometric parameters were computed on the binary volume after calibration from BV/TV(Arch). Then, bone surface/bone volume, trabecular thickness, trabecular separation, and trabecular number were obtained by direct methods without model assumption and the structure model index was calculated.
RESULTS: In univariate analysis, the correlation coefficients between 2D textural features and 3D morphological parameters reached 0.83 at the FH and 0.79 at the GT. In multivariate canonical correlation analysis, coefficients of the first component reached 0.95 at the FH and 0.88 at the GT.
CONCLUSIONS: Digital radiographs, widely available and economically viable, are an alternative method for evaluating bone microarchitectural structure.

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Year:  2011        PMID: 21361210     DOI: 10.1118/1.3528125

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

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Journal:  Oral Radiol       Date:  2022-05-18       Impact factor: 1.852

2.  Use of machine learning to select texture features in investigating the effects of axial loading on T2-maps from magnetic resonance imaging of the lumbar discs.

Authors:  Vahid Abdollah; Eric C Parent; Samin Dolatabadi; Erica Marr; Keith Wachowicz; Michele Battié
Journal:  Eur Spine J       Date:  2021-10-30       Impact factor: 2.721

3.  Bone texture analysis is correlated with three-dimensional microarchitecture and mechanical properties of trabecular bone in osteoporotic femurs.

Authors:  Thomas Le Corroller; Martine Pithioux; Fahmi Chaari; Benoît Rosa; Sébastien Parratte; Boris Maurel; Jean-Noël Argenson; Pierre Champsaur; Patrick Chabrand
Journal:  J Bone Miner Metab       Date:  2012-08-11       Impact factor: 2.626

4.  Development of a New Tool for 3D Modeling for Regenerative Medicine.

Authors:  Filippo Mattoli; Roberto Tiribuzi; Francesco D'Angelo; Ilaria di Girolamo; Mattia Quattrocelli; Simona Montesano; Lucia Crispoltoni; Vasileios Oikonomou; Maria Gabriella Cusella De Angelis; Peggy Marconi; Antonio Orlacchio; Maurilio Sampaolesi; Sabata Martino; Aldo Orlacchio
Journal:  Int J Biomed Imaging       Date:  2011-06-13

5.  Textural entropy as a potential feature for quantitative assessment of jaw bone healing process.

Authors:  Michał Kołaciński; Marcin Kozakiewicz; Andrzej Materka
Journal:  Arch Med Sci       Date:  2015-03-05       Impact factor: 3.318

6.  A preclinical micro-computed tomography database including 3D whole body organ segmentations.

Authors:  Stefanie Rosenhain; Zuzanna A Magnuska; Grace G Yamoah; Wa'el Al Rawashdeh; Fabian Kiessling; Felix Gremse
Journal:  Sci Data       Date:  2018-12-18       Impact factor: 6.444

7.  European guidance for the diagnosis and management of osteoporosis in postmenopausal women.

Authors:  J A Kanis; E V McCloskey; H Johansson; C Cooper; R Rizzoli; J-Y Reginster
Journal:  Osteoporos Int       Date:  2012-10-19       Impact factor: 4.507

8.  Correlation of Subchondral Bone Density and Structure from Plain Radiographs with Micro Computed Tomography Ex Vivo.

Authors:  Jukka Hirvasniemi; Jérôme Thevenot; Harri T Kokkonen; Mikko A Finnilä; Mikko S Venäläinen; Timo Jämsä; Rami K Korhonen; Juha Töyräs; Simo Saarakkala
Journal:  Ann Biomed Eng       Date:  2015-09-14       Impact factor: 3.934

9.  Differences in tibial subchondral bone structure evaluated using plain radiographs between knees with and without cartilage damage or bone marrow lesions - the Oulu Knee Osteoarthritis study.

Authors:  Jukka Hirvasniemi; Jérôme Thevenot; Ali Guermazi; Jana Podlipská; Frank W Roemer; Miika T Nieminen; Simo Saarakkala
Journal:  Eur Radiol       Date:  2017-04-24       Impact factor: 5.315

  9 in total

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