In Richtung "Komplexe PTBS": die deutsche Version des Trauma Symptom Inventory (TSI) zur Erfassung komplexer Traumafolgen.

Die Studie überprüfte die deutsche Übersetzung des Trauma Symptom Inventory (TSI) von Briere [1], das die Komplexe PTB-Symptomatik erfassen soll. Das TSI war Teil einer Testbatterie, welche weiter den Childhood Trauma Questionnaire, Short Screening Scale, Short Form Health Survey, Geriatrische Depressionsskala und das Mini International Neuropsychiatric Interview enthielt. Untersucht wurde eine Stichprobe von N=116 älteren Personen (Altersbereich: 59-98 Jahre; 40,5% Frauen) mit einer Häufung potentiell traumatischer Erfahrungen in der Kindheit. Die deutsche Version des TSI zeigte eine adäquate interne Konsistenz, überwiegend gute Trennschärfen und Schwierigkeitsindizes sowie eine gute Kriteriums- und Konstruktvalidität. Hinsichtlich faktorieller Validität konnte ein Validierungsmodell [2] aus dem europäischen Raum tendenziell besser repliziert werden, als das amerikanische Originalmodell von Briere. Das TSI erwies sich als reliables, ökonomisches und teilweise valides Instrument zur Erfassung der Komplexen PTB-Symptomatik.

Validation of statistical shape model based reconstruction of the proximal femur - A morphology study

Seventeen bones (sixteen cadaveric bones and one plastic bone) were used to validate a method for reconstructing a surface model of the proximal femur from 2D X-ray radiographs and a statistical shape model that was constructed from thirty training surface models. Unlike previously introduced validation studies, where surface-based distance errors were used to evaluate the reconstruction accuracy, here we propose to use errors measured based on clinically relevant morphometric parameters. For this purpose, a program was developed to robustly extract those morphometric parameters from the thirty training surface models (training population), from the seventeen surface models reconstructed from X-ray radiographs, and from the seventeen ground truth surface models obtained either by a CT-scan reconstruction method or by a laser-scan reconstruction method. A statistical analysis was then performed to classify the seventeen test bones into two categories: normal cases and outliers. This classification step depends on the measured parameters of the particular test bone. In case all parameters of a test bone were covered by the training population's parameter ranges, this bone is classified as normal bone, otherwise as outlier bone. Our experimental results showed that statistically there was no significant difference between the morphometric parameters extracted from the reconstructed surface models of the normal cases and those extracted from the reconstructed surface models of the outliers. Therefore, our statistical shape model based reconstruction technique can be used to reconstruct not only the surface model of a normal bone but also that of an outlier bone.

A virtual source model for kilo-voltage cone beam CT: source characteristics and model validation

The purpose of this investigation was to study the source characteristics of a clinical kilo-voltage cone beam CT unit and to develop and validate a virtual source model that could be used for treatment planning purposes.

Validation of a statistical shape model-based 2D/3D reconstruction method for determination of cup orientation after THA

The aim of this study was to validate the accuracy and reproducibility of a statistical shape model-based 2D/3D reconstruction method for determining cup orientation after total hip arthroplasty. With a statistical shape model, this method allows reconstructing a patient-specific 3D-model of the pelvis from a standard AP X-ray radiograph. Cup orientation (inclination and anteversion) is then calculated with respect to the anterior pelvic plane that is derived from the reconstructed model.

Validation of a novel robotic-assisted partial nephrectomy surgical training model

What's known on the subject? and What does the study add? One area of particular growth for robotic surgery has been partial nephrectomy. Despite a perceived notion that robotic-assisted partial nephrectomy is more easily adaptable compared to laparoscopic partial nephrectomy, there is nonetheless an associated learning curve. Validated training models with a corresponding assessment method for robotic-assisted partial nephrectomy were previously unavailable. We have designed and validated a RAPN surgical model appropriate for resident and fellow training.