Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning.

Accurate glioma grading before surgery is of the utmost importance in treatment planning and prognosis prediction. But previous studies on magnetic resonance imaging (MRI) images were not effective enough. According to the remarkable performance of convolutional neural network (CNN) in medical domain, we hypothesized that a deep learning algorithm can achieve high accuracy in distinguishing the World Health Organization (WHO) low grade and high grade gliomas.

Protein A immunoadsorption therapy in the highly sensitized kidney transplant candidates.

Background: Sensitization in transplant candidates increases risk of irreversible immunologic injury of graft in the early period postoperatively. Elimination of anti-human leukocyte antigen (HLA) antibodies using protein A immunoadsorption (IA) might benefit these patients.

Methods: Protein A IA was used in 21 patients with high panel reactive antibody (PRA).