Progressive Left Ventricular Hypertrophy after Heart Transplantation: Insights and Mechanisms Suggested by Multimodal Images

Immunosuppression is the typical measure to prevent rejection after heart transplantation. Although rejection is the usual cause of cardiac hypertrophy, numerous other factors warrant consideration. Calcineurin inhibitors rarely cause hypertrophic cardiomyopathy; the few relevant reports have described children after orthotopic kidney or liver transplantation. We present the case of a 73-year-old woman, an asymptomatic orthotopic heart transplantation patient, in whom chronic immunosuppression with prednisone and cyclosporine apparently caused a phenotype of hypertrophic cardiomyopathy. The natural course of her midapical hypertrophy was revealed by single-photon-emission computed tomography, positron-emission tomography, and 2-dimensional echocardiography. Clinicians and radiographers should be alert to progressive left ventricular hypertrophy and various perfusion patterns in heart transplantation patients even in the absence of underlying coronary artery disease. Toward this end, we recommend that advanced imaging methods be used to their fullest extent

Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection

Remote sensing object detection plays a major role in satellite imaging and is required in various scenarios such as transportation, forestry, and the ocean. Deep learning techniques provide efficient performance in remote sensing object detection. The existing techniques have the limitations of data imbalance, overfitting, and lower efficiency in detecting small objects. This research proposes the spiral search grasshopper (SSG) optimization technique to increase the exploitation in feature selection. Augmentation is applied in input images to generate more images, and this helps to train the model and reduces data imbalance problems. The VGG-19 and ResNet50 model is applied for feature extraction, and this helps to extract deep features to represent objects. The SSG feature selection technique increases the exploitation and select unique features for object detection that helps to overcome the data imbalance and overfitting problem. The SSG feature selection model helps to balance the exploration and exploitation that escape from the local optima trap. The SSG model has 82.45% mAP, the SSD model has 52.6% mAP, and the MPFP-Net model has 80.43% mAP

Vertebral Artery Interventions: A comprehensive updated review

Patients with posterior circulation ischemia due to vertebral artery stenosis account for 20 to 25% of ischemic strokes and have an increased risk of recurrent stroke. In patients treated with medical therapy alone, the risk of recurrence is particularly increased in the first few weeks after symptoms occur with an annual stroke rate of 10 to 15%. Additionally, obstructive disease of the vertebrobasilar system carries a worse prognosis, with a 30% mortality at 2-years if managed medically without additional surgical or endovascular intervention. Percutaneous transluminal angioplasty and stenting of symptomatic vertebral artery stenosis is a promising option that is widely used in clinical practice with good technical results; however, improved clinical outcome has been examined in various clinical trials without sufficient sample size to conclusively determine whether stenting is better than medical therapy. Surgical revascularization is an alternative approach for the treatment of symptomatic vertebral artery stenosis that carries a 10-20% mortality rate. Despite the advances in medical therapy and endovascular and surgical options, symptomatic vertebral artery stenosis continues to impose a high risk of stroke recurrence with associated high morbidity and mortality. The aim of this review is to provide a focused update on percutaneous treatment of vertebral artery stenosis, its appropriate diagnostic approach and advances in medical therapies

Laparoscopic sleeve gastrectomy in obese patients with ventricular assist devices: a data note

OBJECTIVES: Patients with end-stage heart failure (ESHF) treated with ventricular assist devices (VADs) tend to gain weight after implantation, which is associated with higher complication rates and is a contraindication for heart transplantation (HT). The objective was to analyze the outcomes of obese patients with ESHF and VADs who underwent laparoscopic sleeve gastrectomy (LSG) at Ochsner Medical Center in New Orleans, which is the only program performing VADs and HT in the State of Louisiana, and also one of the largest VAD centers in the USA. DATA DESCRIPTION: This dataset contains detailed baseline, perioperative, and long-term data of patients with VADs undergoing LSG. These variables were collected retrospectively from electronic medical records. Patients who achieved ≥ 50% excess BMI loss, BMI ≤ 35\ua0kg/m2, listing for HT, HT, or myocardial recovery were identified and the timing to each of these milestones was documented. These data can be used alone or in combination with other datasets to achieve a larger sample size with more power for further analysis of these variables, which include the most important, standard, and objective bariatric and ESHF outcomes of patients with VADs undergoing LSG. Elaboration of composite outcomes\ua0is feasible