Deep Learning Body Region Classification of MRI and CT Examinations.

This study demonstrates the high performance of deep learning in identification of body regions covering the entire human body from magnetic resonance (MR) and computed tomography (CT) axial images across diverse acquisition protocols and modality manufacturers. Pixel-based analysis of anatomy contained in image sets can provide accurate anatomic labeling. For this purpose, a convolutional neural network (CNN)-based classifier was developed to identify body regions in CT and MRI studies.

Infrapatellar bursitis in children with juvenile idiopathic arthritis: a case series.

Children with juvenile idiopathic arthritis (JIA) may infrequently present with localized anterior knee pain or swelling, in addition to generalize knee pain induced by JIA. We report five cases of deep infrapatellar bursitis in children with JIA. The clinical features, radiological findings, management, and outcome of five children with JIA and deep infrapatellar bursitis are reviewed.

Cystic bone lesions in a boy with Darier disease: a magnetic resonance imaging assessment.

We describe asymptomatic bone cysts in the right humerus of a 17-year-old boy with Darier disease. The cysts were found when a radiographic skeletal survey was performed to monitor for adverse effects of oral retinoid therapy. Magnetic resonance imaging was used to confirm that the lesions were cystic and to delineate their extent.