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

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          Abstract

          Introduction

          The aim of the study was to propose and evaluate textural entropy as a parameter for bone healing assessment.

          Material and methods

          One hundred and twenty radiographs with loss of bone architecture were investigated (a bone defect was circumscribed – ROI DEF). A reference region (ROI REF) of the same surface area as the ROI DEF was placed in a field distant from the defect, where a normal, trabecular pattern of bone structure was well visualized. Data of three time points were investigated: T0 – immediately after the surgical procedure, T1 – 3 months post-op, and T2 – 12 months post-op.

          Results

          Textural entropy as a parameter describing bone structure regeneration was selected based on Fisher coefficient ( F) evaluation. F was highest in T0 (3.4) and was decreasing later in T1 (1.7) and T2 (1.0 – means final lack of difference in the structure to reference bone). Textural entropy is a measure of structure disarrangement which in a bone defect region attains minimal value due to structural homogeneity, i.e. low complexity of the texture. The calculated parameter in the investigated material revealed a gradual increase inside the bone defect ( p < 0.05), i.e. increase of complexity in a time-dependent manner starting from immediate post-op (T0 = 2.51; T1 = 2.68) up to most complex 1 year post-operational (T2 = 2.73), reaching the reference level of a normal bone.

          Conclusions

          Textural entropy may be useful for computer assisted evaluation of bone regeneration process. The complexity of the texture corresponds to mature trabecular bone formation.

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          Most cited references22

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          MaZda--a software package for image texture analysis.

          MaZda, a software package for 2D and 3D image texture analysis is presented. It provides a complete path for quantitative analysis of image textures, including computation of texture features, procedures for feature selection and extraction, algorithms for data classification, various data visualization and image segmentation tools. Initially, MaZda was aimed at analysis of magnetic resonance image textures. However, it revealed its effectiveness in analysis of other types of textured images, including X-ray and camera images. The software was utilized by numerous researchers in diverse applications. It was proven to be an efficient and reliable tool for quantitative image analysis, even in more accurate and objective medical diagnosis. MaZda was also successfully used in food industry to assess food product quality. MaZda can be downloaded for public use from the Institute of Electronics, Technical University of Lodz webpage.
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            Fractal analysis of radiographic trabecular bone texture and bone mineral density: two complementary parameters related to osteoporotic fractures.

            Trabecular bone microarchitecture and bone mineral density (BMD) are two main factors related to osteoporotic fractures. Currently, however, microarchitecture is not evaluated. We have developed and validated a trabecular bone texture analysis from radiographic images. The objective was to determine if the fractal analysis of texture was able to distinguish osteoporotic fracture groups from control groups, either in vertebrae, hip, or wrist fractures, and to determine if this indicator and BMD were independent and complementary. In this cross-sectional unicenter case-control population study in postmenopausal women, 107 fracture cases were enrolled and age-matched with 197 control cases. This population comprised 40 vertebral fractures (with 70 controls), 30 hip fractures (55 controls), and 37 wrist fractures (62 controls). Hip and lumbar spine BMD were measured by double-energy X-ray absorptiometry. Fractal analysis of texture was performed on calcaneus radiographs and the result was expressed as the H parameter (H = 2-fractal dimension). The H parameter showed a lower value (0.679 +/- 0.053 SD) in fracture cases versus control cases (0.696 +/- 0.030; p = 0.007), the statistical significance persisting after adjustment for age and for lumbar spine (LS) or hip BMD. This result was confirmed in vertebral fractures (p = 0.0001) and hip fractures (p = 0.003) but not wrist fractures (p = 0.07). We determined the threshold between high and low H values and then the odds ratios (OR) of fracture for low H for BMD < or = -2.5 SD in T score and for the combinations of both parameters. The OR of fracture for low H was 1.6 (95% CI, 1.1-2.6). For LS BMD < or = -2.5 SD the OR of 6.1 (3.4-10.8) shifted to 9.0 (4.0-20.4) when we added low H and for hip BMD it shifted from 5.6 (3.3-9.4) to 8.1 (4.0-16.8). In vertebral, hip, and wrist fracture cases the results were also significant. These data have shown that the fractal analysis of texture on calcaneus radiographs can distinguish osteoporotic fracture groups from control groups. This analysis and BMD provide independent and complementary information. These data suggest that we can improve the fracture risk evaluation by adding information related to microarchitecture, derived from analysis of conventional radiographic images.
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              Cigarette smoking and alveolar bone in young adults: a study using digitized radiographs.

              Evidence indicates that cigarette smoking is one of the most significant risk factors for periodontal diseases; however, there have been few radiographic prospective studies of alveolar bone in young populations. The purpose of this study was to evaluate the effect of smoking on alveolar bone in young adults.

                Author and article information

                Journal
                Arch Med Sci
                Arch Med Sci
                AMS
                Archives of Medical Science : AMS
                Termedia Publishing House
                1734-1922
                1896-9151
                05 March 2015
                16 March 2015
                : 11
                : 1
                : 78-84
                Affiliations
                [1 ]Department of Maxillofacial Surgery, Medical University of Lodz, Lodz, Poland
                [2 ]Medical Electronics Division, Technical University of Lodz, Lodz, Poland
                Author notes
                Corresponding author: Michał Kołaciński MD, DDS, Department of Maxillofacial Surgery, Medical University of Lodz, 113 Żeromskiego St, 90-549 Lodz, Poland. Phone: +48 42 6393781. E-mail: mkolacinski@ 123456wp.pl
                Article
                20386
                10.5114/aoms.2013.33557
                4379353
                ab39a4dd-efe3-41c8-890d-8e702d3c4423
                Copyright © 2015 Termedia & Banach

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 August 2012
                : 28 October 2012
                : 18 November 2012
                Categories
                Basic Research

                Medicine
                textural entropy,bone healing,digital radiograph
                Medicine
                textural entropy, bone healing, digital radiograph

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