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Title Assessing agreement between magnetic resonance imaging and histology: An evaluation of their image qualities and quantitative results
Date 30.06.2017
Number 51922
Abstract One consequence of demographic change is the increasing demand for biocompatible materials for use in implants and prostheses. This is accompanied by a growing number of experimental animals because the interactions between new biomaterials and its host tissue have to be investigated. To evaluate novel materials and engineered tissues the use of non-destructive imaging modalities have been identified as a strategic priority. This provides the opportunity for studying interactions repeatedly with individual animals, along with the advantages of reduced biological variability and decreased number of laboratory animals. However, histological techniques are still the golden standard in preclinical biomaterial research. The present article demonstrates a detailed method comparison between histology and magnetic resonance imaging. This includes the presentation of their image qualities as well as the detailed statistical analysis for assessing agreement between quantitative measures. Exemplarily, the bony ingrowth of tissue engineered bone substitutes for treatment of a cleft-like maxillary bone defect has been evaluated. By using a graphical concordance analysis the mean difference between MRI results and histomorphometrical measures has been examined. The analysis revealed a slightly but significant bias in the case of the bone volume and a clearly significant deviation for the remaining defect width But the study although showed a considerable effect of the analyzed section position to the quantitative result. It could be proven, that the bias of the data sets was less originated due to the imaging modalities, but mainly on the evaluation of different slice positions. The article demonstrated that method comparisons not always need the use of an independent animal study, additionally
URL http://dx.doi.org/10.1371/journal.pone.0179249
Publisher PLoS ONE
Identifier 0
Citation PLoS ONE 12 (2017) IDe0179249
DOI http://dx.doi.org/10.1371/journal.pone.0179249
Authors Elschner, C. ; Korn, P. ; Hauptstock, M. ; Schulz, M. C. ; Range, U. ; Jünger, D. ; Scheler, U.
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