More research is needed to better understand the risk of CKD post-nephrectomy, to develop and validate predictive scores for risk-stratification, and to optimize patient management.”
“Neuroblastomas are the most common, non-central nervous system tumor of childhood. Similar to pheochromocytomas, they are derived from neural crest cells and therefore retain the potential to synthesize catecholamines. Unlike pheochromocytomas, however, perioperative issues related to blood pressure instability with hypertension are uncommon. We report details of a 3-year-old

child with a neuroblastoma who developed severe hypertension and Ipatasertib PI3K/Akt/mTOR inhibitor end-organ effects after induction of anesthesia. The association of such problems with neuroblastoma is reviewed and options for perioperative care presented.”
“In this paper, we propose a new prostate computed tomography (CT) segmentation method for image guided radiation therapy. The main contributions of our method lie in the following aspects. 1) Instead of using voxel intensity information alone, patch-based representation in the discriminative feature space with logistic sparse LASSO is used as anatomical signature to deal with low contrast problem in prostate CT images. 2) Based on the proposed patch-based signature, a new multi-atlases Momelotinib inhibitor label fusion method formulated under sparse representation framework is designed to segment

prostate in the new treatment images, with guidance from the previous segmented AZD2171 chemical structure images of the same patient. This method estimates the prostate likelihood of each voxel in the new treatment image from its nearby candidate voxels in the previous segmented images, based on the nonlocal mean principle and sparsity constraint. 3) A hierarchical labeling strategy is further designed to perform label fusion, where voxels

with high confidence are first labeled for providing useful context information in the same image for aiding the labeling of the remaining voxels. 4) An online update mechanism is finally adopted to progressively collect more patient-specific information from newly segmented treatment images of the same patient, for adaptive and more accurate segmentation. The proposed method has been extensively evaluated on a prostate CT image database consisting of 24 patients where each patient has more than 10 treatment images, and further compared with several state-of-the-art prostate CT segmentation algorithms using various evaluation metrics. Experimental results demonstrate that the proposed method consistently achieves higher segmentation accuracy than any other methods under comparison.”
“Objective: To evaluate the effect of pre-pregnancy body mass index (BMI) on the risk of developing gestational diabetes mellitus (GDM) in a large unselected population. Methods: We performed a case control study using data collected in The Consortium on Safe Labor database.