A Recap of UCSF Radiology at RSNA 2019!
Faculty, staff and trainees at the UC San Francisco Department of Radiology and Biomedical Imaging have just returned from Chicago where they attended the Radiology Society of North America (RSNA)’s 105th Scientific Assembly and Annual Meeting. As always, it was a great conference with faculty members leading courses, research presented by faculty, scientists and trainees, and the opportunity to reconnect with UCSF Radiology alumni throughout the week. There were quite a few department highlights from last week’s event. Here are just a few:
Jae Ho Sohn, MD, MS Received the Alexander R. Margulis Award for Scientific Excellence
Jae Ho Sohn, MD, MS, resident and T32 scholar, received the annual Alexander R. Margulis Award for Scientific Excellence. Named for the esteemed late Dr. Margulis, former long-time UCSF Radiology chair, this annual award recognizes the best original scientific article published in Radiology for a given year. The Margulis Award Nominating Committee and the Margulis Award Selection Committee review published manuscripts based on their novelty, quality, importance, and potential scientific and clinical impacts. His article, "A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain," published online in November 2018, shows the significant potential of artificial intelligence (AI) as a diagnostic tool in Alzheimer's disease (AD).
Yi Li, MD Received an RSNA Research Scholar Grant
Yi Li, MD, assistant professor, received an RSNA Research Scholar Grant for her work on “MRI and Short-term Outcomes from the Neonatal Seizure Registry (NSR-MRI).” The Foundation’s premier career development grant transitions junior faculty to independent investigators. Funding protects research time to conduct complex projects under the guidance of a mentor and scientific advisor in preparation for NIH funding. The Research Scholar Grant is a two-year grant of $150,000.
Kirti Magudia, MD Received an RSNA Research Resident/Fellow Grant
Kirti Magudia, MD, PhD, clinical fellow and T32 scholar, received an RSNA Research Resident/Fellow Grant for her work on “Prediction of Clinically Significant Prostate Cancer from Only T2 Weighted Imaging Using Machine Learning.” This grant provides investigators a chance to explore powerful ideas. Working alongside an experienced advisor, trainees gain insight in research methods and techniques; it is a catalyst to pursue research at a critical point in a radiologist’s career. One-year grant of $30,000/$50,000.
Yixin Chen Received the RSNA Trainee Research Prize, Medical Student
Yixin Chen, currently a student at the University of Michigan at Ann Arbor, worked with Jae Ho Sohn, MD, MS on a study, "Prediction of Future Healthcare Expenses from Chest Radiographs Using Deep Learning.” She presented the results of the study at RSNA. Each year at RSNA, subcommittees can offer up to three prizes. Judgement is based on the scientific content of the paper or poster as presented in an extended abstract. Chen’s work was award in the informatics category.
Benjamin Yeh’s Work on Dual Energy CT (DECT) Highlighted by RSNA
Benjamin Yeh, MD, professor of Abdominal Imaging, was profiled in RSNA’s Daily Bulletin for his work on the use of dual-energy CT (DECT). Dr. Yeh was also interviewed on the new applications of DECT which can be see below.
Additionally, Dr. Yeh was co-author of two presentations that were winners of RSNA Certificates of Merit. The first was titled “Recognizing Artifacts and Pitfalls of Multi-Energy CT” and the second was titled “Dual-Energy CT Colonography: Increasing Reader Performance and Confidence in a Spectral Colon Phantom.”
Marc Kohli, MD Recognized as 2019 Honored Educator
Each year, RSNA congratulates Honored Educator award recipients for their dedication to furthering educational scholarship in the field of radiology. This year, Marc Kohli, MD, associate professor and director of Clinical Informatics, was a recipient.
Zhen Jane Wang, MD and Peder Larson, PhD Honored as Distinguished Investigators
Earlier this year, we announced that Zhen Jane Wang, MD and Peder Larson, PhD were been selected to receive the Academy for Radiology & Biomedical Imaging Research’s 2019 Distinguished Investigator Award. This prestigious honor recognizes individuals for their accomplishments in the field of medical imaging. Drs. Wang and Larson and the other 35 researchers were inducted into the Academy’s Council of Distinguished Investigators during a ceremony at RSNA.
UCSF Radiology Part of a “Lunch and Learn” Panel with Kheiron Medical Technologies
This fall, UCSF announced the launch the Center for Intelligent Imaging (ci2) to accelerate the application of artificial intelligence (AI) technology to radiology. Kheiron Medical Technologies, Ltd. works with the UCSF Breast Imaging group to ensure that its MiaTM breast cancer screening software can be safely and feasibly deployed in ethnically diverse populations. Christopher Hess, MD, PhD, Bonnie Joe, MD, PhD, Sharmila Majumdar, PhD and Tatiana Kelil, MD joined Peter D. Kecskemethy, PhD from Kheiron Medical to discuss a framework for selecting and deploying safe and impactful AI into screening programs.