Research

Enabling Precise and Individualized Cancer Treatment with Biomarkers

In Dr. Sabrina Ronen’s lab, researchers are focusing on developing new, non-invasive imaging biomarker indicators to address multiple types of cancers–from breast cancer, prostate cancer and higher-grade aggressive glioblastoma brain tumors to lower-grade, somewhat less aggressive tumors of the brain.

Using Advanced MRI to Detect and Accurately Target Disease

In this video, Dr. Vigneron describes his work and how it’s helping tens of thousands of patients with prostate cancer and brain tumors by more accurately identifying the location of cancers, monitoring whether those cancers are responding to treatment, and, as needed, adjusting the treatment to more specifically target the disease.

Research Interest Groups at UCSF: Connecting Faculty, Creating Legacy

The UCSF Research Interest Groups (RIGs) are a success story for many reasons. In this post, hear from Dr. Vigneron and other members of the Research Interest Group to understand what makes RIGs work:

Using Augmented Reality Applications to Visualize 3D Radiology Images

Dr. Jesse Courtier is currently working with Bencin Studios to develop an imaging application for Microsoft HoloLens, the first self-contained holographic computer, enabling users to engage with digital content and interact with holograms in the surrounding real world.

Alzheimer’s Disease Research: Links to Abnormal Vocal Behavior, Epileptiform Activity

Medical researchers, like UCSF Imaging’s Srikantan Nagarajan, PhD, are working to put an end to Alzheimer’s. But first, scientific communities must have a full understanding of the complexities associated with this neurodegenerative disease.

Radiology’s Role in Cross-Department Collaboration

From oncology to cardiology, Alzheimer’s disease to stroke, imaging faculty have an impact on nearly all the conditions that have research or clinical relevance to the UCSF campus.

Targeting and Measuring with Hyperpolarized MRI

Hyperpolarized MRI allows us to pinpoint cancers that could not be detected very well anatomically, and monitor their rate of progression. We can also learn if therapies have hit their target and measure quantitatively whether they did what was intended.

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