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Zum virologischen Nachweis einer akuten Influenza und zur Überprüfung des Immunstatus steht eine Vielzahl von Untersuchungsmethoden zur Verfügung. Bei Verdacht auf eine Influenzavirusinfektion liefert der Rachenabstrich das geeignete Untersuchungsmaterial. Das tiefe Nasopharynxaspirat ist etwas sensitiver, Sputum etwas weniger ergiebig. Die RT-PCR ermöglicht in 1–2 h nach Materialeingang ein sensitives und spezifisches Ergebnis. Typen, Subtypen und Driftvarianten lassen sich durch geeignete Primersonden, die kommerziell zur Verfügung stehen, einwandfrei identifizieren. Demgegenüber ist die Zellkultur-gestützte Virusisolierung zeitaufwendiger und stärker abhängig von einer sachgerechten Materialgewinnung und –überbringung (Kühlkette). PCR und Virusanzüchtung ermöglichen die geno- bzw. phänotypische Testung auf Therapieresistenzen. Der Antigentest ist eine einfache (bed-side) Schnellmethode. Seine Spezifität ist gut, die Sensitivität limitiert; daher kann der Antigentest nicht zur individuellen Ausschlussdiagnose eingesetzt werden. Influenzavirusspezifische Antikörper erscheinen im Blut erst in der zweiten Krankheitswoche. Die Serodiagnostik erfolgt typenspezifisch mit Komplementbindungsreaktion (KBR), IFT und ELISA über eine signifikante Titerbewegung oder den Nachweis von IgA-Antikörpern. IgG-spezifische IFT und ELISA Methoden geben Auskunft über die Influenzavirus-typspezifische Durchseuchung. Die klinisch relevantere subtypen- und variantenspezifische Influenzavirusimmunität wird mit dem HHT oder NT gemessen.
Die 1990 eingeführten ersten kommerziellen HCV-Antikörper-Screening Tests wurden im Laufe der Jahre bezüglich ihrer Sensitivität und Spezifität erheblich verbessert. Inzwischen sind auch standardisierte Verfahren zum qualitativen und quantitativen HCV-RNA-Nachweis verfügbar, die Dank der Einführung eines internationalen Standards miteinander vergleichbar sind. Aber auch mittels Antigen-ELISA ist es möglich, die im Patientenblut zirkulierende Virusmenge zu quantifizieren. Einer der Hauptübertragungswege – Bluttransfusion und Blutprodukte – der HCV-Infektion wurde durch die Verbesserung der virologischen Diagnostik nahezu eliminiert. Inzwischen sind i. v.-Drogenabhängige die Hauptrisikogruppe für eine HCV-Infektion. Bislang nur zu Forschungszwecken etablierte Methoden zur Messung der zellulären Immunität oder auch die Messung neutralisierender Antikörper könnten zum Beispiel im Rahmen einer Impfstoffentwicklung an Bedeutung gewinnen.
Dual-energy CT (DECT) has emerged into clinical routine as an imaging technique with unique postprocessing utilities that improve the evaluation of different body areas. The virtual non-calcium (VNCa) reconstruction algorithm has shown beneficial effects on the depiction of bone marrow pathologies such as bone marrow edema. Its main advantage is the ability to substantially increase the image contrast of structures that are usually covered with calcium mineral, such as calcified vessels or bone marrow, and to depict a large number of traumatic, inflammatory, infiltrative, and degenerative disorders affecting either the spine or the appendicular skeleton. Therefore, VNCa imaging represents another step forward for DECT to image conditions and disorders that usually require the use of more expensive and time-consuming techniques such as magnetic resonance imaging, positron emission tomography/CT, or bone scintigraphy. The aim of this review article is to explain the technical background of VNCa imaging, showcase its applicability in the different body regions, and provide an updated outlook on the clinical impact of this technique, which goes beyond the sole improvement in image quality.
Background: Computerized virtual patients (VP) have spread into many areas of healthcare delivery and medical education. They provide various advantages like flexibility in pace and space of learning, a high degree of teaching reproducibility and a cost effectiveness. However, the educational benefit of VP as an additive or also as an alternative to traditional teaching formats remains unclear. Moreover, there are no randomized-controlled studies that investigated the use of VP in a dental curriculum. Therefore, this study investigates VP as an alternative to lecturer-led small-group teaching in a curricular, randomized and controlled setting.
Methods: Randomized and controlled cohort study. Four VP cases were created according to previously published design principles and compared with lecturer-led small group teaching (SGT) within the Oral and Maxillofacial Surgery clerkship for dental students at the Department for Cranio-, Oral and Maxillofacial Plastic Surgery, Goethe University, Frankfurt, Germany. Clinical competence was measured prior (T0), directly (T1) and 6 weeks (T2) after the intervention using theoretical tests and a self-assessment questionnaire. Furthermore, VP design was evaluated using a validated toolkit.
Results: Fifty-seven students (VP = 32; SGT = 25) agreed to participate in the study. No competence differences were found at T0 (p = 0.56). The VP group outperformed (p < .0001) the SGT group at T1. At T2 there was no difference between both groups (p = 0.55). Both interventions led to a significant growth in self-assessed competence. The VP group felt better prepared to diagnose and treat real patients and regarded VP cases as a rewarding learning experience.
Conclusions: VP cases are an effective alternative to lecture-led SGT in terms of learning efficacy in the short and long-term as well as self-assessed competence growth and student satisfaction. Furthermore, integrating VP cases within a curricular Oral and Maxillofacial Surgery Clerkship is feasible and leads to substantial growth of clinical competence in undergraduate dental students.
Background: Standardized neuropsychological testing serves to quantify cognitive impairment in multiple sclerosis (MS) patients. However, the exact mechanism underlying the translation of cognitive dysfunction into difficulties in everyday tasks has remained unclear. To answer this question, we tested if MS patients with intact vs. impaired information processing speed measured by the Symbol Digit Modalities Test (SDMT) differ in their visual search behavior during ecologically valid tasks reflecting everyday activities.
Methods: Forty-three patients with relapsing-remitting MS enrolled in an eye-tracking experiment consisting of a visual search task with naturalistic images. Patients were grouped into “impaired” and “unimpaired” according to their SDMT performance. Reaction time, accuracy and eye-tracking parameters were measured.
Results: The groups did not differ regarding age, gender, and visual acuity. Patients with impaired SDMT (cut-off SDMT-z-score < −1.5) performance needed more time to find and fixate the target (q = 0.006). They spent less time fixating the target (q = 0.042). Impaired patients had slower reaction times and were less accurate (both q = 0.0495) even after controlling for patients' upper extremity function. Exploratory analysis revealed that unimpaired patients had higher accuracy than impaired patients particularly when the announced target was in unexpected location (p = 0.037). Correlational analysis suggested that SDMT performance is inversely linked to the time to first fixation of the target only if the announced target was in its expected location (r = −0.498, p = 0.003 vs. r = −0.212, p = 0.229).
Conclusion: Dysfunctional visual search behavior may be one of the mechanisms translating cognitive deficits into difficulties in everyday tasks in MS patients. Our results suggest that cognitively impaired patients search their visual environment less efficiently and this is particularly evident when top-down processes have to be employed.
Aims: Understanding the orientation of fracture lines and mechanisms is the essential key to sufficient surgical therapy, but there is still a lack of visualization and teaching methods in traumatology and fracture theory. 3D-printed models offer easy approach to those fractures. This paper explains the use of the teaching possibility with 3-dimensional models of transitional fractures of the ankle.
Methods and results: For generating 3D printable models, already obtained CT data were used and segmented into its different tissues, especially parts concerning the fracture. After the segmentation process, the models were produced with FFF (fused filament fabrication) printing technology. The fracture models then were used for hands-on teaching courses in AO course (Arbeitsgemeinschaft für Osteosynthesefragen) of pediatric traumatology in 2020 in Frankfurt. In the course fracture anatomy with typical fracture lines, approaches, and screw placement could be shown, discussed and practiced.
Conclusion: The study shows the use of 3D-printed teaching models and helps to understand complicated fractures, in this case, transitional fractures of the ankle. The teaching method can be adapted to numerous other use cases.
The evaluation of pharmacological data using machine learning requires high data quality. Therefore, data preprocessing, that is, cleaning analytical laboratory errors, replacing missing values or outliers, and transforming data adequately before actual data analysis, is crucial. Because current tools available for this purpose often require programming skills, preprocessing tools with graphical user interfaces that can be used interactively are needed. In collaboration between data scientists and experts in bioanalytical diagnostics, a graphical software package for data preprocessing called pguIMP is proposed, which contains a fixed sequence of preprocessing steps to enable reproducible interactive data preprocessing. As an R-based package, it also allows direct integration into this data science environment without requiring any programming knowledge. The implementation of contemporary data processing methods, including machine-learning-based imputation techniques, ensures the generation of corrected and cleaned bioanalytical data sets that preserve data structures such as clusters better than is possible with classical methods. This was evaluated on bioanalytical data sets from lipidomics and drug research using k-nearest-neighbors-based imputation followed by k-means clustering and density-based spatial clustering of applications with noise. The R package provides a Shiny-based web interface designed to be easy to use for non–data analysis experts. It is demonstrated that the spectrum of methods provided is suitable as a standard pipeline for preprocessing bioanalytical data in biomedical research domains. The R package pguIMP is freely available at the comprehensive R archive network (https://cran.r-project.org/web/packages/pguIMP/index.html).
Bis einschließlich 10. Januar 2006 infizierten sich in Asien rund 150 Menschen mit dem Erreger der Vogelgrippe H5N1. In sechs Ländern (Kambodscha, China, Indonesien, Thailand, Vietnam und Türkei) verstarben an der “Hühnergrippe” rund 80 Patienten. Eine Übertragung von Mensch zu Mensch scheint in Einzelfällen möglich. Eine Pandemie hat der Erreger bisher nicht ausgelöst: Er wurde nicht (effektiv) von Mensch zu Mensch übertragen.
Aktuell erscheint aber eine Ausweitung der Hühnergrippe auch in Europa denkbar. Meldungen aus Rumänien im Oktober 2005 lassen eine Ausbreitung des H5N1-Erregers bei Wasservögeln vermuten. Jetzt (Stand Januar 2006) wurden auch aus der Türkei mehrere Infektionen des Menschen, davon drei Todesfälle, bekannt.
Sorge bereitet Experten die Möglichkeit eines genetischen “Reassortment” durch eine gleichzeitige Doppel-Infektion eines Wirtes (Mensch, Schwein) mit humanen und aviären Influenza-A-Viren-Erregern. Der neue Subtyp könnte bei passender Adaption an die menschlichen Zellen zu einer neuen Pandemie führen.
The thickness of the cerebral cortex can provide valuable information about normal and abnormal neuroanatomy. High resolution MRI together with powerful image processing techniques has made it possible to perform these measurements automatically over the whole brain. Here we present a method for automatically generating voxel-based cortical thickness (VBCT) maps. This technique results in maps where each voxel in the grey matter is assigned a thickness value. Sub-voxel measurements of thickness are possible using sub-sampling and interpolation of the image information. The method is applied to repeated MRI scans of a single subject from two MRI scanners to demonstrate its robustness and reproducibility. A simulated data set is used to show that small focal differences in thickness between two groups of subjects can be detected. We propose that the analysis of VBCT maps can provide results that are complementary to other anatomical analyses such as voxel-based morphometry.