Automated grading of enlarged perivascular spaces in clinical imaging data of an acute stroke cohort using an interpretable, 3D deep learning framework.

Enlarged perivascular spaces (EPVS), specifically in stroke patients, has been shown to strongly correlate with other measures of small vessel disease and cognitive impairment at 1 year follow-up. Typical grading of EPVS is often challenging and time consuming and is usually based on a subjective visual rating scale. The purpose of the current study was to develop an interpretable, 3D neural network for grading enlarged perivascular spaces (EPVS) severity at the level of the basal ganglia using clinical-grade imaging in a heterogenous acute stroke cohort, in the context of total cerebral small vessel disease (CSVD) burden.

Recover Wisely From COVID-19: Responsible Resumption of Nonurgent Radiology Services.

Rationale And Objectives: Following state and institutional guidelines, our Radiology department launched the "Recover Wisely" for all nonurgent radiology care on May 4, 2020. Our objective is to report our practice implementation and experience of COVID-19 recovery during the resumption of routine imaging at a tertiary academic medical center.

Materials And Methods: We used the SQUIRE 2.

Peering Into Peer Review: Neuroradiology Reviewers Discuss Their Approaches to Assessing a Manuscript.

This article provides comments from a small group of highly qualified reviewers of the () regarding their approach to assessing manuscripts. The objective is to educate authors about the issues to which reviewers particularly attend and about errors that will decrease the likelihood of publication. By following the advice provided in this article, authors should be able to compose better manuscripts and reviewers should be able to generate better reviews.

Diagnostic accuracy of MRI texture analysis for grading gliomas.

Purpose: Texture analysis (TA) can quantify variations in surface intensity or patterns, including some that are imperceptible to the human visual system. The purpose of this study was to determine the diagnostic accuracy of radiomic based filtration-histogram TA to differentiate high-grade from low-grade gliomas by assessing tumor heterogeneity.

Methods: Patients with a histopathological diagnosis of glioma and preoperative 3T MRI imaging were included in this retrospective study.

Neoplastic and Paraneoplastic Involvement of the Spinal Cord.

Neoplasia of the spinal cord, including both primary and metastatic tumors, is relatively rare, representing 4%-10% of all central nervous system tumors, and can present a diagnostic challenge to the radiologist. More than 90% of primary spinal cord neoplasms are derived from the glial cell lineage, including the 2 most common tumors ependymoma and astrocytoma. However, less common spinal cord tumors, including metastatic disease, as well as nonneoplastic and paraneoplastic processes should be considered in the diagnosis of intramedullary spinal cord lesions.

MR spectroscopy of intracranial tuberculomas: A singlet peak at 3.8 ppm as potential marker to differentiate them from malignant tumors.

Purpose: The diagnosis of intracranial tuberculomas is often challenging. Our purpose is to describe the most common metabolic patterns of tuberculomas by MR spectroscopy (MRS) with emphasis on potential specific markers.

Methods: Single-voxel MRS short echo time was performed in 13 cases of tuberculomas proven by histology and/or response to anti-mycobacterial therapy.

Cumulative total effective whole-body radiation dose in critically ill patients.

Background: Uncertainty exists about a safe dose limit to minimize radiation-induced cancer. Maximum occupational exposure is 20 mSv/y averaged over 5 years with no more than 50 mSv in any single year. Radiation exposure to the general population is less, but the average dose in the United States has doubled in the past 30 years, largely from medical radiation exposure.

Imaging of cerebral venous thrombosis: current techniques, spectrum of findings, and diagnostic pitfalls.

Cerebral venous thrombosis is a relatively uncommon but serious neurologic disorder that is potentially reversible with prompt diagnosis and appropriate medical care. Because the possible causal factors and clinical manifestations of this disorder are many and varied, imaging plays a primary role in the diagnosis. Magnetic resonance (MR) imaging, un-enhanced computed tomography (CT), unenhanced time-of-flight MR venography, and contrast material-enhanced MR venography and CT venography are particularly useful techniques for detecting cerebral venous and brain parenchymal changes that may be related to thrombosis.