Biventricular Strain Imaging with Cardiac MRI in Genotyped and Histology Validated Amyloid Cardiomyopathy.

Unlabelled: Cardiac amyloidosis (CA) is a common and potentially fatal infiltrative cardiomyopathy. Contrast-enhanced cardiac MRI (CMR) is used as a diagnostic tool. However, utility of CMR for the comprehensive analysis of biventricular strains and strain rates is not reported as extensively as echocardiography.

Necrotizing Enterocolitis Following Pediatric Living Donor Liver Transplant.

Necrotizing enterocolitis is one of the most common and worrying diseases in neonates, commonly shown in premature neonates, and is associated with significant mortality and morbidity. Necrotizing enterocolitis is characterized by intestinal mucosal injury that can progress to transmural bowel necrosis, and radiologically it can present with either pneumatosis intestinalis or portal venous gas. It is postulated to develop in an immunocompromised host in the setting of bacterial colonization, usually after administration of non-breast milk feed.

Patient-specific 3D-printed coronary models based on coronary computed tomography angiography volumes to investigate flow conditions in coronary artery disease.

Background: 3D printed patient-specific coronary models have the ability to enable repeatable benchtop experiments under controlled blood flow conditions. This approach can be applied to CT-derived patient geometries to emulate coronary flow and related parameters such as Fractional Flow Reserve (FFR).

Methods: This study uses 3D printing to compare such benchtop FFR results with a non-invasive CT-FFR research software algorithm and catheter based invasive FFR (I-FFR) measurements.

Moxifloxacin induced encephalopathy in disseminated tuberculosis: A case report.

Moxifloxacin is a third-generation fluoroquinolone antibiotic with broad spectrum activity and also used as component of anti-tubercular therapy (ATT). Though frequently prescribed, moxifloxacin induced encephalopathy is uncommonly seen. Here we describe a forty four year old male, with features of disseminated tuberculosis (TB) and suspected case of multi-drug resistance (MDR), who developed acute encephalopathy.

Initial evaluation of a convolutional neural network used for noninvasive assessment of coronary artery disease severity from coronary computed tomography angiography data.

Purpose: Coronary computed tomography angiography (CTA) has one of the highest diagnostic sensitivities for detection of the significance of coronary artery disease (CAD); however, sensitivity is moderate and may result in increased catheterization rates. We performed an efficacy study to determine whether a trained machine learning algorithm that uses coronary CTA data may improve CAD diagnosis accuracy.

Methods: Sixty-four-patient image datasets based on coronary CTA were retrospectively collected to generate eight views considering 45° increments around the coronary artery centerline.

Mixed primary prostatic carcinoma with acinar, neuroendocrine and ductal components.

Mixed tumors in the prostate gland have been described; they are primarily originate in the gland or are the product of metastatic compromise. Mixed primary epithelial carcinomas of the prostate are very rare; here we report the case of a 72-years-old man with histopathologic findings of a primary prostate mixed carcinoma, showing characteristics of acinar, ductal and neuroendocrine adenocarcinoma. We also discuss the clinical, diagnostic, and therapeutic aspects of these uncommon mixed neoplasms.

Reliability of nine programs of topological predictions and their application to integral membrane channel and carrier proteins.

We evaluated topological predictions for nine different programs, HMMTOP, TMHMM, SVMTOP, DAS, SOSUI, TOPCONS, PHOBIUS, MEMSAT-SVM (hereinafter referred to as MEMSAT), and SPOCTOPUS. These programs were first evaluated using four large topologically well-defined families of secondary transporters, and the three best programs were further evaluated using topologically more diverse families of channels and carriers. In the initial studies, the order of accuracy was: SPOCTOPUS > MEMSAT > HMMTOP > TOPCONS > PHOBIUS > TMHMM > SVMTOP > DAS > SOSUI.