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This article reports the first available human retrieval data following the use of a new fixation system for tumor prostheses. The compliant prestress (CPS) fixation system obviates the need for long intramedullary stems. The CPS was designed to provide a stable, high-pressure, motion-free bone-implant interface that would prevent aseptic loosening and allow osseointegration at the bone-implant interface. At 1 0 months, the fourth patient in the human trial required amputation. Backscatter electron microscopy revealed a buttress of new bone had formed along 70% of the bone-metal interface, with excellent bony ingrowth (average: 42%) into the transverse, porous-coated titanium interface.

After surgery at a HVC, the volume of adjuvant radiation therapy center was not significantly associated with overall survival. Significant predictors of survival included age, subsite, T stage, and extracapsular extension.

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Information generated by sensors that collect a patient's vital signals are continuous and unlimited data sequences. Traditionally, this information requires special equipment and programs to monitor them. These programs process and react to the continuous entry of data from different origins. Thus, the purpose of this study is to analyze the data produced by these biomedical devices, in this case the electrocardiogram (ECG). Processing uses a neural classifier, Kohonen competitive neural networks, detecting if the ECG shows any cardiac arrhythmia. In fact, it is possible to classify an ECG signal and thereby detect if it is exhibiting or not any alteration, according to normality.