Evidence map›Paper›PMID 18327577›Full record

ArticleSkeletal radiology2008

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

M Rachidi, A Marchadier, C Gadois, E Lespessailles, C Chappard, C L Benhamou

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Article in Skeletal radiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
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  3. Development of a classification method for mild liver fibrosis using non-contrast CT image.International journal of computer assisted radiology and surgery · 2022
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  5. Use of machine learning to select texture features in investigating the effects of axial loading on TEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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  11. Bone texture analysis using CT-simulation scans to individuate risk parameters for radiation-induced insufficiency fractures.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Article
  12. Article
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  14. Article
  15. New imaging modalities in bone.Current rheumatology reports · 2011
    Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

M RachidiINSERM Unit U658, Orleans Hospital, Orleans, France. mouna.rachidi@chr-orleans.fr
A Marchadier
C Gadois
E Lespessailles
C Chappard
C L Benhamou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to explore Laws' masks analysis to describe structural variations of trabecular bone due to osteoporosis on high-resolution digital radiographs and to check its dependence on the spatial resolution. Laws' masks are well established as one of the best methods for texture analysis in image processing and are used in various applications, but not in bone tissue characterisation. This method is based on masks that aim to filter the images. From each mask, five classical statistical parameters can be calculated. MATERIALS AND

methodsThe study was performed on 182 healthy postmenopausal women with no fractures and 114 age-matched women with fractures [26 hip fractures (HFs), 29 vertebrae fractures (VFs), 29 wrist fractures (WFs) and 30 other fractures (OFs)]. For all subjects radiographs were obtained of the calcaneus with a new high-resolution X-ray device with direct digitisation (BMA, D3A, France). The lumbar spine, femoral neck, and total hip bone mineral density (BMD) were assessed by dual-energy X-ray absorptiometry.

resultsIn terms of reproducibility, the best results were obtained with the TRE5E5 mask, especially for three parameters: "mean", "standard deviation" and "entropy" with, respectively, in vivo mid-term root mean square average coefficient of variation (RMSCV)%= 1.79, 4.24 and 2.05. The "mean" and "entropy" parameters had a better reproducibility but "standard deviation" showed a better discriminant power. Thus, for univariate analysis, the difference between subjects with fractures and controls was significant (P<10(-3)) and significant for each fracture group independently (P<10(-4) for HF, P=0.025 for VF and P< 10(-3) for OF). After multivariate analysis with adjustment for age and total hip BMD, the difference concerning the "standard deviation" parameter remained statistically significant between the control group and the HF and VF groups (P<5 x 10(-5), and P=0.04, respectively). No significant correlation between these Laws' masks parameters and BMD was obtained. In addition, this study showed the dependence of Laws' masks parameters on image resolution, which confirms the necessity to perform Laws' textural measurement on high-resolution images.

conclusionThe reproducibility and discriminant power of the Laws' masks analysis has been demonstrated on bone images; thus, this method constitutes a promising routine technique for the determination of osteoporosis fracture risk from radiographs.

Indexed as

AlgorithmsImage Processing, Computer-AssistedPostmenopauseAgedAged, 80 and overCase-Control StudiesFemaleFractures, BoneHumansMiddle AgedOsteoporosis, PostmenopausalRadiographyReproducibility of ResultsSurface Properties

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.