Vendelbo Wright (menpastry46)

We studied 21 patients who underwent radical ameloblastoma excision followed by immediate reconstruction. Comorbidities, consumption of alcohol and/or tobacco and BMI status did not contribute to an unfavorable outcome. Giant ameloblastoma (≥5 cm) and/or tumor involving bony curvatures increased surgical complexity, the incidence of complications and hospital stay. Functional (psychogenic) dyskinesias in patients with Parkinson's disease (PD) are exceedingly rare. Herein we report three patients with PD who presented with functional dyskinesias in the first 3 months after subthalamic nucleus deep brain stimulation (DBS). All patients presented with chorea mimicking levodopa or stimulation-induced dyskinesias in the first 24 hours following stimulation adjustment. Two patients had generalized chorea and one, hemichorea. In all patients the abnormal movements could be induced or resolved with placebo/nocebo changes to the stimulation parameters. Following the diagnosis of a functional movement disorder (FMD), all patients improved with appropriate management. Functional chorea following DBS might mimic organic dyskinesias in PD but can be accurately diagnosed using suggestibility and placebo responses to sham stimulation adjustments. Avexitide nmr Recognizing the presence of FMD following DBS is important for proper management of these patients. Functional chorea following DBS might mimic organic dyskinesias in PD but can be accurately diagnosed using suggestibility and placebo responses to sham stimulation adjustments. Recognizing the presence of FMD following DBS is important for proper management of these patients.Purpose The mean linear intercept (MLI) score is a common metric for quantification of injury in lung histopathology images. The automated estimation of the MLI score is a challenging task because it requires accurate segmentation of different biological components of the lung tissue. Therefore, the most widely used approaches for MLI quantification are based on manual/semi-automated assessment of lung histopathology images, which can be expensive and time-consuming. We describe a fully automated pipeline for MLI estimation, which is capable of producing results comparable to human raters. Approach We use a convolutional neural network based on U-Net architecture to segment the diagnostically relevant tissue segments in the whole slide images (WSI) of the mouse lung tissue. The proposed method extracts multiple field-of-view (FOV) images from the tissue segments and screen the FOV images, rejecting images based on presence of certain biological structures (i.e., blood vessels and bronchi). We used color slicing and region growing for segmentation of different biological structures in each FOV image. Results The proposed method was tested on ten WSIs from mice and compared against the scores provided by three human raters. In segmenting the relevant tissue segments, our method obtained a mean accuracy, Dice coefficient, and Hausdorff distance of 98.34%, 98.22%, and 109.68 μ m , respectively. Our proposed method yields a mean precision, recall, and F 1 -score of 93.37%, 83.47%, and 87.87%, respectively, in screening of FOV images. There was substantial agreement found between the proposed method and the manual scores (Fleiss Kappa score of 0.76). The mean difference between the calculated MLI score between the automated method and average rater's score was 2.33 ± 4.13 ( 4.25 % ± 5.67 % ). Conclusion The proposed pipeline for automated calculation of the MLI score demonstrates high consistency and accuracy with human raters and can be a potential replacement for manual/semi-automated approaches in the field.Purpose We present a markerless vision-based method for on-the-fly three-dimensional (3D) pose estimation of a fiberscope instrument to target pathologic areas in the endoscopic view during exploration. Approach A 2.5-mm-diameter fiberscope is inserted through the endoscope'