End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI.

Purpose: To develop an end-to-end DL model for automated classification of affected territory in DWI of stroke patients.

Materials And Methods: In this retrospective multicenter study, brain DWI studies from January 2017 to April 2020 from Center 1, from June 2020 to December 2020 from Center 2, and from November 2019 to April 2020 from Center 3 were included. Four radiologists labeled images into five classes: anterior cerebral artery (ACA), middle cerebral artery (MCA), posterior circulation (PC), and watershed (WS) regions, as well as normal images.

Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations.

Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI using AI to facilitate fast triage of stroke to a dedicated stroke center. A retrospective collection of DWI images of 271 and 122 consecutive acute ischemic stroke patients from two centers was carried out. Pretrained MobileNetV2 and EfficientNetB0 architectures were used to classify territorial subtypes as middle cerebral artery, posterior circulation, or watershed infarcts along with normal slices.

Percutaneous Metallic Stents in Malignant Biliary Obstruction: Comparison of Nitinol and Wall Stents.

Introduction: Palliation of malign biliary obstruction is important which is commonly carried out by percutaneous biliary stenting. Our primary aim with this study was assessment of performance of wall stents, and nitinol stents for the palliation of malign biliary obstruction.

Methods: The medical records of 157 patients who underwent biliary stenting in our department between January 1, 1995, and December 31, 2005, were retrospectively analyzed.

Artificial Intelligence in Stroke Imaging: A Comprehensive Review.

The aging population challenges the health-care system with chronic diseases. Cerebrovascular diseases are important components of these chronic conditions. Stroke is the acute cessation of blood in the brain, which can lead to rapid tissue loss.

Voxel level dense prediction of acute stroke territory in DWI using deep learning segmentation models and image enhancement strategies.

Purpose: To build a stroke territory classifier model in DWI by designing the problem as a multiclass segmentation task by defining each stroke territory as distinct segmentation targets and leveraging the guidance of voxel wise dense predictions.

Materials And Methods: Retrospective analysis of DWI images of 218 consecutive acute anterior or posterior ischemic stroke patients examined between January 2017 to April 2020 in a single center was carried out. Each stroke area was defined as distinct segmentation target with different class labels.

Radiomics in differential diagnosis of Wilms tumor and neuroblastoma with adrenal location in children.

Objectives: Machine learning methods can be applied successfully to various medical imaging tasks. Our aim with this study was to build a robust classifier using radiomics and clinical data for preoperative diagnosis of Wilms tumor (WT) or neuroblastoma (NB) in pediatric abdominal CT.

Material And Methods: This is a single-center retrospective study approved by the Institutional Ethical Board.

Rarer Components of a Rare Disease: Accessory Hemidiaphragm and Horseshoe Lung with Scimitar Syndrome; Two Case Reports.

Introduction: Scimitar syndrome is a rare developmental anomaly with an incidence of 2/100.000 births. Major components of this disease are partial anomalous pulmonary venous drainage, pulmonary hypoplasia, systemic arterialization of the right basal lung, and dextroposition of the heart.

Evaluation of development of subclinical atherosclerosis in children with uveitis.

Uveitis is a chronic inflammatory disease. Chronic inflammation has been shown to have a role in pathogenesis of atherosclerosis. Atherosclerosis is the most important risk factor of cardiovascular diseases and is shown to start as early as childhood.