Development and validation of an algorithm to determine the minimal factors needed for non-invasive measurement of the in vivo primary stability of cementless hip implants.

Aseptic loosening is a frequent cause for revision of endoprosthesis. X-ray examinations like Radio-Stereometry-Analysis (RSA) are among the most widely used in vivo methods for its detection. Nevertheless, this method is not used routinely because of bone marker and related radiation exposure. This work aims at creating a new in vivo concept to detect implant stability measuring micromotions without x-ray and to develop a corresponding algorithm. Based on the assumption of contactless measurement, the input parameters for the algorithm are the distances of each ultrasound sensor to the object (prosthesis and bone) and its position. First, the number of parameters necessary for a precise reconstruction and measurement of micromotions between objects had to be defined. Therefore, the algorithm has been tested with simulations of these parameters. Two experimental measurements, either using contact sensors or ultrasound, were used to prove the accuracy of the algorithm. Simulations indicate a high accuracy with three distances as initial parameters for each object. Contact measurements show precise representation of micromotion, and the contactless measurements show the possibility of detecting various materials with a high resolution. This work lays the foundations for non-invasive detection of micromotions between the implant-bone interface.

ZEB1 induces N-cadherin expression in human glioblastoma and may alter patient survival.

The present study investigated the expression of epithelial-mesenchymal transition (EMT)-related factors zinc finger E-box-binding homeobox 1 (ZEB1), cadherin-1 (CDH1), cadherin-2 (CDH2) and the cell cycle modulating kinase cyclin-dependent kinase 1 (CDK1) in human glioblastoma (GBM) compared to normal brain tissue, as well as whether the levels of expression were associated with the overall and progression-free survival of the GBM patients. In 44 GBM and five normal brain tissue specimens, the expression levels of ZEB1, CDH1, CDH2 and CDK1 were evaluated by real-time PCR and immunostaining, and the results were correlated with clinical data. The expression levels of all investigated genes as detected by immunostaining were significantly higher in the GBM when compared to the normal brain tissues. There was no influence on survival. A linear correlation between ZEB1 and CDH2 and CDK1 expression was observed in GBM. Moreover, ZEB1 was involved in EMT (e.g., signaling in human GBM) and high ZEB1 levels were linked to an aberrant cell cycle processing, marked by CDK1 overexpression.