To evaluate the performance of radiomic features extracted from high-resolution computed tomography (HRCT) for the differentiation between cholesteatoma and middle ear inflammation (MEI), and to investigate the impact of post-reconstruction harmonization and data resampling. One hundred patients were included in this retrospective dual-center study 48 with histology-proven cholesteatoma (center A 23; center B 25) and 52 with MEI (A 27; B 25). Radiomic features (co-occurrence and run-length matrix, absolute gradient, autoregressive model, Haar wavelet transform) were extracted from manually defined 2D-ROIs. The ten best features for lesion differentiation were selected using probability of error and average correlation coefficients. A multi-layer perceptron feed-forward artificial neural network (MLP-ANN) was used for radiomics-based classification, with histopathology serving as the reference standard (70% of cases for training, 30% for validation). The analysis was performed five times each on (a) unmodiasets does not appear meaningful without further post-processing. • When using multi-centric CT data obtained with differences in acquisition parameters, post-reconstruction harmonization and data resampling clearly improve radiomics-based soft-tissue differentiation.• Unenhanced high-resolution CT coupled with radiomics analysis may be useful for the differentiation between cholesteatoma and middle ear inflammation. • Pooling of data extracted from inhomogeneous CT datasets does not appear meaningful without further post-processing. • When using multi-centric CT data obtained with differences in acquisition parameters, post-reconstruction harmonization and data resampling clearly improve radiomics-based soft-tissue differentiation. Quantification of myocardial deformation by feature tracking is of growing interest in cardiovascular magnetic resonance. It allows the assessment of regional myocardial function based on cine images. However, image acquisition, post-processing, and interpretation are not standardized. We aimed to assess the influence of segmentation procedure such as slice selection and different types of analysis software on values and quantification of myocardial strain in healthy adults. Healthy volunteers were retrospectively analyzed. Post-processing was performed using CVI and TomTec. Longitudinal and radial strain were quantified using 4-chamber-view, 3-chamber-view, and 2-chamber-view. Circumferential and radial strain were assessed in basal, midventricular, and apical short-axis views and using full coverage. Global and segmental strain values were compared to each other regarding their post-processing approach and analysis software package. We screened healthy volunteers studied at 1.5 or 3.0T and inclupost-processing using CMR feature tracking is essential. Bile duct cannulation using conventional techniques fails in up to 16% of endoscopic retrograde cholangiopancreatography (ERCP) procedures. Advanced techniques to gain biliary access include ERCP-based maneuvers, and newer endoscopic ultrasound (EUS)-guided interventions. In this article, we review the evidence supporting the use of various ERCP and EUS techniques for biliary access, as well as studies comparing these different techniques. In comparative studies, biliary access after failed conventional cannulation was more successful with EUS-rendezvous compared to precut papillotomy. EUS-guided drainage compares favorably with percutaneous drainage with respect to clinical success, safety profile, and cost-efficiency. Recent randomized trials comparing EUS to ERCP drainage in malignant obstruction have found similar success rates between these techniques. EUS-guided techniques compare favorably to ERCP-based methods for biliary access and drainage. The advent of newer technologies to facilitate interventional EUS may further change current treatment approaches.In comparative studies, biliary access after failed conventional cannulation was more successful with EUS-rendezvous compared to precut papillotomy. EUS-guided drainage compares favorably with percutaneous drainage with respect to clinical success, safety profile, and cost-efficiency. Recent randomized trials comparing EUS to ERCP drainage in malignant obstruction have found similar success rates between these techniques. EUS-guided techniques compare favorably to ERCP-based methods for biliary access and drainage. The advent of newer technologies to facilitate interventional EUS may further change current treatment approaches. Gastric cancer patients generally have a poor outcome, particularly those with advanced-stage disease which is defined by the increased invasion of cancer locally and is associated with higher metastatic potential. This study aimed to identify genes that were functional in the most fundamental hallmark of cancer, namely invasion. find protocol We then wanted to assess their value as biomarkers of gastric cancer progression and recurrence. Data from a cohort of patients profiled on cDNA expression arrays was interrogated using K-means analysis. This genomic approach classified the data based on patterns of gene expression allowing the identification of the genes most correlated with the invasion of GC. We evaluated the functional role of a key protein from this analysis in invasion and as a biomarker of recurrence after curative resection. Expression of secreted frizzled-related protein 4 (SFRP4) was identified as directly proportional to gastric cancer invasion. This finding was validated in multiple, independent datasets and its functional role in invasion was also confirmed using invasion assays. A change in serum levels of SFRP4 after curative resection, when coupled with AJCC stage, can accurately predict the risk of disease recurrence after curative therapy in an assay we termed PredictR. This simple ELISA-based assay can help predict recurrence of disease after curative gastric cancer surgery irrespective of adjuvant therapy. The results require further evaluation in a prospective trial but would help in the rational prescription of cancer therapies and surveillance to prevent under or over treatment of patients after curative resection.This simple ELISA-based assay can help predict recurrence of disease after curative gastric cancer surgery irrespective of adjuvant therapy. The results require further evaluation in a prospective trial but would help in the rational prescription of cancer therapies and surveillance to prevent under or over treatment of patients after curative resection.