Neuroradiology

A recent paper showed percutaneous fibrin glue injections can be an effective treatment for spinal CSF-venous fistulas. Authors included Mark Mamlouk, MD and William Dillon, MD.

A team of radiologists and surgeons from the UCSF Departments of Radiology and Surgery - Division of Plastic and Reconstructive Surgery, CU Radiology and the Oregon Health Sciences University Department of Radiology (OHSU Radiology) recently collaborated on an article that describes the radiologist’s role in an important aspect of the care of gender diverse patients, namely preoperative FFS planning. 

A new study from investigators at UCSF Radiology reviewed the current literature on neuroradiological findings in SARS-CoV-2 patients to identify latent patterns and trends that could be useful in guiding clinical management of these patients.

The UC San Francisco Department of Radiology and Biomedical Imaging offers eight clinical fellowships, including neuroradiology. Nine ACGME neuroradiology fellowship positions are offered each year.

A new study from scientists at UCSF Radiology and Biomedical Imaging uses artificial intelligence (AI) to predict the presence of specific genetic alterations in individual patient's tumors using only non-invasive brain MRI. 

A team of scientists set out to assess whole brain and regional patterns of cerebrovascular reactivity (CVR) abnormalities in HIV-infected women using quantitative whole brain arterial spin labeling (ASL).

Myriam Chaumeil PhD's lab is working to develop better and faster ways to image the brain and the way it works using hyperpolarized carbon-13 MR imaging technology.

A team of scientists led by the UCSF Radiology Neuroradiology Section evaluated the rate of findings in patients who received serial head CTs in the emergency department.

The UC San Francisco Department of Radiology and Biomedical Imaging had a strong presence at the recent American Society of Functional Neuroradiology (ASFNR) Annual Meeting held November 3-5, 2019 in San Francisco, CA.

Richly annotated training data vastly improves deep learning algorithm's accuracy.