scholarly journals Structural complexity of the craniofacial trabecular bone in multiple myeloma assessed by fractal analysis

2021 ◽  
Vol 51 ◽  
Author(s):  
Mariane Michels ◽  
Karina Morais-Faria ◽  
César Rivera ◽  
Thaís Bianca Brandão ◽  
Alan Roger Santos-Silva ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Trabecular Bone ◽  
Fractal Analysis ◽  
Structural Complexity

scholarly journals Fractal Analysis of Radiographic Trabecular Bone Texture and Bone Mineral Density: Two Complementary Parameters Related to Osteoporotic Fractures

2001 ◽  
Vol 16 (4) ◽  
pp. 697-704 ◽  
Author(s):  
C. L. Benhamou ◽  
S. Poupon ◽  
E. Lespessailles ◽  
S. Loiseau ◽  
R. Jennane ◽  
...  
Keyword(s):  
Bone Mineral Density ◽  
Trabecular Bone ◽  
Bone Mineral ◽  
Fractal Analysis ◽  
Osteoporotic Fractures ◽  
Mineral Density

In vivoassessment of trabecular bone structure using fractal analysis of distal radius radiographs

2000 ◽  
Vol 27 (11) ◽  
pp. 2594-2599 ◽  
Author(s):  
Sharmila Majumdar ◽  
Thomas M. Link ◽  
Jacob Millard ◽  
John C. Lin ◽  
Peter Augat ◽  
...  
Keyword(s):  
Trabecular Bone ◽  
Distal Radius ◽  
Fractal Analysis ◽  
Bone Structure ◽  
Trabecular Bone Structure

Knockdown Of Matrix Metalloproteinase 13 (MMP13) In 5TGM1 Multiple Myeloma Cells Inhibits Development Of Lytic Bone Lesions In Vivo

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 879-879
Author(s):  
Jing Fu ◽  
Shirong Li ◽  
Huihui Ma ◽  
G. David Roodman ◽  
Markus Y. Mapara ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Cell Growth ◽  
Trabecular Bone ◽  
Research Funding ◽  
Bone Lesions ◽  
Mineral Density ◽  
Lytic Bone Lesions

Abstract Background Multiple myeloma (MM) cells secrete osteoclastogenic factors that activate osteoclasts (OCL) and contribute to development of pure lytic bone lesions in MM patients. We have recently shown that i) MMP13 is highly expressed by MM cells and ii) exogenous MMP13 increases OCL fusion and bone resorption (Feng et al, 2009). Further, MMP13 mediates these effects by upregulating dendritic cell-specific transmembrane protein (DC-STAMP), which is critical for OCL fusion and activation (Fu et al, 2012). Here, we investigated the role of MMP13 in MM-related bone disease (MMBD) in vivo and the underlying osteoclastogenic mechanisms. Methods and Results The role of MMP13 in MMBD was examined in vivo by the intratibial 5TGM1-GFP mouse MMBD model. Mouse MM cell line 5TGM1-GFP cells were transduced by pLKO.1-puro empty vector (EV) or sh-MMP13 (MMP13-KD) lentivirus followed by puromycin selection for 2 weeks. MMP13 knockdown in 5TGM1-MMP13-KD cells were confirmed by quantitative RT-PCR. 1×105 5TGM1-GFP-EV and 5TGM1-GFP-MMP13-KD cells were bilaterally intratibially injected into Recombination Activating Gene 2 (Rag2) knockout mice (n=9). After 4 weeks of tumor growth, tibiae were separated for micro quantitative computed tomography (micro-QCT) followed by immunohistochemistry (IHC) analysis. Following 5TGM1-GFP-EV injection, micro-QCT analysis of the tibiae and adjacent femurs indicated severe bone erosions, especially within trabecular bone. By contrast MMP13 KD inhibited the development of MM-induced bone lesions. Bone histomorphologic analysis showed that compared to 5TGM1-GFP-EV, MMP13-KD significantly reduced the MM induced trabecular bone loss with increased relative bone volume (0.069 ± 0.018 vs 0.0499 ± 0.016%; P=0.001), connective density (54.94 ± 33.03 vs 27.33 ± 18.97mm3; P=0.002), trabecular bone numbers (3.26 ± 0.29 vs 3.06 ± 0.33mm-1; P=0.032) and bone mineral density (159.1 ± 20.7 vs 134.2 ± 18.6mg/cm3; P=6E-04); as well as decreased triangulation bone surface to volume ratio (66.12 ± 6.67 vs 73.28 ± 10.07; P=0.017) and triangulation structure model index (3.05 ± 0.36 vs 3.42 ± 0.35 mm-1; P=0.002). In accordance with our finding that MMP13 induced OCL fusion, IHC results confirmed the presence of smaller TRAP+OCLs adjacent to the tumor in mice injected with 5TGM1-GFP-MMP13-KD cells compared with 5TGM1-GFP-EV cells. Although MMP13 knockdown showed no effects on 5TGM1-GFP cell growth in vitro, in vivo tumor progression represented by fluorescence imaging and sera immunoglobin 2G level (0.96 ± 0.12 vs 1.10 ± 0.11 mg/ml) was significantly inhibited (P=0.009 and 0.03 respectively), indicating MMP13 depletion in MM cells impaired OCL activation which, in turn, failed to support MM cell growth in bone marrow microenvironment as effectively in EV control group. In vitro studies demonstrated that MMP13 directly induced ERK1/2 phosphorylation in pre-osteoclasts. Consistent with a critical role for ERK1/2 phosphorylation in regulating OCL formation, U0126 (ERK1/2 inhibitor) blocked MMP13-induced ERK1/2 phosphorylation, ERK1/2-dependent DC-STAMP upregulation and MMP13-induced OCL fusion (P<0.01). Conclusion Our results demonstrate that silencing MMP13 expression in MM cells inhibits MM cell-induced OCL fusion and development of lytic bone lesions in vivo, indicating that MMP13 is essential for MM-induced bone diseases. Further, MMP13 upregulates DC-STAMP expression and OCL fusion via the activation of ERK1/2 signaling. Our data suggest that targeting MMP13 may represent a novel therapeutic approach for the treatment of MMBD. Disclosures: Roodman: Amgen: Membership on an entity’s Board of Directors or advisory committees; Lilly: Research Funding. Lentzsch:Celgene: Research Funding.

scholarly journals Application of Fractal Analysis in Detecting Trabecular Bone Changes in Periapical Radiograph of Patients with Periodontitis

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Parisa Soltani ◽  
Sajad Sami ◽  
Jaber Yaghini ◽  
Ehsan Golkar ◽  
Francesco Riccitiello ◽  
...  
Keyword(s):  
Trabecular Bone ◽  
Fractal Analysis ◽  
Intraclass Correlation ◽  
Cross Sectional Study ◽  
Clinical Attachment Loss ◽  
Cross Sectional ◽  
Attachment Loss ◽  
Severe Periodontitis ◽  
Significant Difference ◽  
Bone Changes

Introduction. Evaluation of detailed features of the supporting bone is an important step in diagnosis and treatment planning for teeth with clinical attachment loss. Fractal analysis can be used as a method for evaluating the complexity of trabecular bone structures. The aim of this study was to evaluate the trabecular bone changes in periapical radiographs of patients with different stages of periodontitis using fractal analysis. Methods. This comparative cross-sectional study was performed on patients with and without clinical attachment loss in mandibular first molars. Teeth with clinical attachment loss were divided into mild, moderate, and severe periodontitis groups. Digital periapical radiographs were obtained from the mandibular first molars using the same exposure parameters. DICOM file of the radiographs was exported to ImageJ software for fractal analysis. Three regions of interest (ROIs) were considered in each radiograph: two proximal ROIs mesial and distal to the mandibular first molar and one apical ROI. Fractal dimension (FD) values were calculated using the fractal box counting approach. Statistical analysis was performed using the chi-square test, Mann–Whitney test, intraclass correlation coefficient, and ANOVA (α = 0.05). Results. FD values were significantly different between moderate and severe periodontitis and healthy periodontal bone ( P < 0.05 ), except for the distal ROI for moderate periodontitis cases ( P = 0.280 ). However, FD values of the supporting bone in periodontally healthy teeth and teeth with mild periodontitis did not show a statistically significant difference ( P > 0.05 ). Conclusion. Fractal analysis is a useful tool for evaluation of bone alterations in moderate and severe periodontitis, but was not able to detect the most initial radiographic bone signs of mild periodontitis.

scholarly journals FRACTAL ANALYSIS OF TRABECULAR BONE: A STANDARDISED METHODOLOGY

2011 ◽  
Vol 19 (1) ◽  
pp. 45 ◽  
Author(s):  
Ian Parkinson ◽  
Nick Fazzalari
Keyword(s):  
Fractal Dimension ◽  
Trabecular Bone ◽  
Fractal Analysis ◽  
Fractal Dimensions ◽  
Box Counting ◽  
Cell Tissue ◽  
Image Analyser ◽  
Model Independent ◽  
Box Counting Method ◽  
Image Orientation

A standardised methodology for the fractal analysis of histological sections of trabecular bone has been established. A modified box counting method has been developed for use on a PC based image analyser (Quantimet 500MC, Leica Cambridge). The effect of image analyser settings, magnification, image orientation and threshold levels, was determined. Also, the range of scale over which trabecular bone is effectively fractal was determined and a method formulated to objectively calculate more than one fractal dimension from the modified Richardson plot. The results show that magnification, image orientation and threshold settings have little effect on the estimate of fractal dimension. Trabecular bone has a lower limit below which it is not fractal (λ<25 μm) and the upper limit is 4250 μm. There are three distinct fractal dimensions for trabecular bone (sectional fractals), with magnitudes greater than 1.0 and less than 2.0. It has been shown that trabecular bone is effectively fractal over a defined range of scale. Also, within this range, there is more than 1 fractal dimension, describing spatial structural entities. Fractal analysis is a model independent method for describing a complex multifaceted structure, which can be adapted for the study of other biological systems. This may be at the cell, tissue or organ level and compliments conventional histomorphometric and stereological techniques.

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