Literature DB >> 16007593

A simple non invasive computerized method for the assessment of bone repair within osteoconductive porous bioceramic grafts.

Francesco Beltrame1, Ranieri Cancedda, Barbara Canesi, Antonio Crovace, Maddalena Mastrogiacomo, Rodolfo Quarto, Silvia Scaglione, Carmela Valastro, Federica Viti.   

Abstract

Single energy X-ray imaging, due to its low cost and flexibility, is one of the most used and common technique to assess bone state and bone remodeling over time. Standardized X-ray images are needed to compare sets of radiographs for semi-quantitative analyses of tissue remodeling. However, useful mathematical modeling for the analysis of high level radiographic images are not easily available. In order to propose a useful evaluation tool to a wide clinical scenario, we present an innovative calibration algorithm for a semi-quantitative analysis of non-standardized digitized X-ray images. For calibration on a unique standardization scale, three time invariant regions (ROI) of radiographs were selected and analyzed. The accuracy of the normalization method for X-ray films was successfully validated by using an aluminum step wedge for routine X-ray exposures as tool to standardize serial radiographs (Pearson correlation test: R(2) = 0.96). This method was applied to investigate the progression of the new bone deposition within ceramic scaffolds used as osteoconductive substitute in large bone defects taking advantage of a large animal model. This innovative image-processing algorithm allowed the identification and semi-quantification of the bone matrix deposited within the implant. The osteo-integration at the bone-implant interface was also investigated. A progressively increasing bone tissue deposition within the porous bioceramic implant and a progressive osteo-integration was observed during the 12 months of the trial. Copyright 2005 Wiley Periodicals, Inc.

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Year:  2005        PMID: 16007593     DOI: 10.1002/bit.20591

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

1.  Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study.

Authors:  Federica Viti; Ivan Merelli; Mieke Timmermans; Michael den Bakker; Francesco Beltrame; Peter Riegman; Luciano Milanesi
Journal:  BMC Bioinformatics       Date:  2010-11-18       Impact factor: 3.169

2.  Guidelines for managing data and processes in bone and cartilage tissue engineering.

Authors:  Federica Viti; Silvia Scaglione; Alessandro Orro; Luciano Milanesi
Journal:  BMC Bioinformatics       Date:  2014-01-10       Impact factor: 3.169

3.  Assessment of Effects of Si-Ca-P Biphasic Ceramic on the Osteogenic Differentiation of a Population of Multipotent Adult Human Stem Cells.

Authors:  Patricia Ros-Tárraga; Rubén Rabadan-Ros; Angel Murciano; Luis Meseguer-Olmo; Piedad N De Aza
Journal:  Materials (Basel)       Date:  2016-11-29       Impact factor: 3.623

4.  Morphological and Structural Study of a Novel Porous Nurse's A Ceramic with Osteoconductive Properties for Tissue Engineering.

Authors:  Ruben Rabadan-Ros; Pablo A Velásquez; Luis Meseguer-Olmo; Piedad N De Aza
Journal:  Materials (Basel)       Date:  2016-06-15       Impact factor: 3.623

  4 in total

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