Multidetector computed tomography angiography for assessment of in-stent restenosis: meta-analysis of diagnostic performance

<p>Abstract</p> <p>Background</p> <p>Multi-detector computed tomography angiography (MDCTA)of the coronary arteries after stenting has been evaluated in multiple studies.</p> <p>The purpose of this study was to perform a structured review and meta-analysis of the diagnostic performance of MDCTA for the detection of in-stent restenosis in the coronary arteries.</p> <p>Methods</p> <p>A Pubmed and manual search of the literature on in-stent restenosis (ISR) detected on MDCTA compared with conventional coronary angiography (CA) was performed. Bivariate summary receiver operating curve (SROC) analysis, with calculation of summary estimates was done on a stent and patient basis. In addition, the influence of study characteristics on diagnostic performance and number of non-assessable segments (NAP) was investigated with logistic meta-regression.</p> <p>Results</p> <p>Fourteen studies were included. On a stent basis, Pooled sensitivity and specificity were 0.82(0.72–0.89) and 0.91 (0.83–0.96). Pooled negative likelihood ratio and positive likelihood ratio were 0.20 (0.13–0.32) and 9.34 (4.68–18.62) respectively. The exclusion of non-assessable stents and the strut thickness of the stents had an influence on the diagnostic performance. The proportion of non-assessable stents was influenced by the number of detectors, stent diameter, strut thickness and the use of an edge-enhancing kernel.</p> <p>Conclusion</p> <p>The sensitivity of MDTCA for the detection of in-stent stenosis is insufficient to use this test to select patients for further invasive testing as with this strategy around 20% of the patients with in-stent stenosis would be missed. Further improvement of scanner technology is needed before it can be recommended as a triage instrument in practice. In addition, the number of non-assessable stents is also high.</p

Registrierung und Visualisierung von 3D U/S und CT Datensätzen der Prostata

Brachytherapie ist eine Strahlentherapie, welche u. a. mit Hochenergie-Strahlenquellen in Hohlnadeln, die in den Körper des Patienten eingestochen werden, durchgeführt wird. Die präzise Konturierung des zu bestrahlenden Gewebes, sowie die genaue Plazierung der Hohlnadeln an den Positionen, welche durch das "Pre-Planing" vorgegeben werden, sind hierbei wichtige Arbeitsschritte. Bisher basiert die Behandlung des Prostatakarzionoms mittels Brachytherapie vornehmlich auf CT Aufnahmen, welche aber keine Echtzeit-Visualisierung während der Implantation der Katheter zulassen. Sind sowohl CT als auch 3D U/S Aufnahmen vorhanden, können diese registriert und fusioniert werden, um somit die Vorteile beider Modalitäten zu nutzen. Im folgenden werden die Untersuchungen zur Registrierung sowie Möglichkeiten zur Evaluierung dargestellt

RAMTaB : robust alignment of multi-tag bioimages

For the discovery of protein complexes and of functional protein networks within a cell, alignment of the tag images in a multi-tag fluorescence image stack is a key pre-processing step. The proposed framework is shown to produce accurate alignment results on both real and synthetic data. Our future work will use the aligned multi-channel fluorescence image data for normal and diseased tissue specimens to analyze molecular co-expression patterns and functional protein networks