General Nuclear Medicine Track
The general nuclear medicine track features a wide-ranging scope of sessions developed and led by experts from SNMMI's specialty councils and centers of excellence. These sessions are designed to expand your knowledge on the latest clinical applications and best practices in the field advancing precision medicine.
Full Session Continuing Education Details | How to Earn CE Credits
For Faculty and Planner Financial Disclosure Information, please click here.
Sunday, January 31
8:45–9:45 am ET
Special Session. Investing in Inclusion: Why and How
Sponsored by the SNMMI Diversity, Equity and Inclusion Task Force
Organizer: Amy Vavere, PhD
Moderators: Amy Vavere, PhD; Thomas Ng, MD; and Paige Bennett, MD
In this session Dr. David McIntosh will tell his story about how he came to be a VP and Chief Inclusion and Diversity Officer and use that in his introduction. He will provide a unique perspective from a university that attempted diversity without the all-important inclusion and will help people see how futile these efforts can be if we don’t all feel like we belong. In addition, Dr. Daniel Chonde will provide details on how he has led the diversity week efforts at his institution and provide details on how to setup your own local diversity, equity and inclusion efforts.
- Understand the value investing in inclusion brings to the Nuclear Medicine & Molecular Imaging Department and the facility in general.
- Determine the steps to take to set-up a local Diversity, Equity and Inclusion effort.
- Connect what is happening in society at large with the changes in the workplace
- Why Should We Invest in Inclusion?
David McIntosh, PhD
- How to Initiate Inclusion Within your Department/Institution
Daniel Burje Chonde, MD, PhD and Anand Narayan, MD/PhD
10:00–11:30 am ET
Hot Topics in Nuclear Cardiology 2020: Case-Based Review
Sponsored by the SNMMI Cardiovascular Council
Organizer: Edward J. Miller, MD, PhD
Moderator: Brett W. Sperry, MD; Marie A. Gueratty, MD, PhD
Nuclear cardiology has evolved rapidly. Practitioners need to be familiar with new tracers, disease processes, and technology. This clinically oriented session for nuclear cardiology readers will utilize a practical, case-based review strategy for interpreting Tc99m PYP imaging for cardiac amyloidosis, FDG-PET for cardiac sarcoidosis, CZT and SPECT/CT cases and artifacts, and myocardial blood flow quantification from cardiac PET.
- Discuss the optimal methods to acquire and interpret Tc99m PYP imaging for cardiac amyloidosis, including artifacts
- Gain expertise in the use of hybrid imaging systems and optimal approaches for the interpretation of FDG-PET for cardiac sarcoidosis
- Develop understanding of artifacts specific to dedicated cardiac CZT SPECT c cameras and SPECT/CT c cameras in the interpretation of nuclear cardiology studies
- Examine practical applications and pitfalls in the interpretation and reporting of myocardial blood flow quantification from PET
- Optimal Performance and Interpretation of Tc99m PYP Imaging for Cardiac amyloidosis: Perils, Pearls, and Pitfalls
Shivda Pandey, MD
- The Use of Hybrid PET/CT Imaging in the Interpretation of FDG PET for Cardiac Sarcoidosis
Edward J. Miller, MD, PhD
- How to Interpret and Integrate PET Myocardial Blood Flow into Clinical Reporting and Practice
Timothy Bateman, MD
11:45 AM–1:15 pm ET
COVID-19: Effects on Clinical Care and Education
Sponsored by the SNMMI Academic Council; SNMMI General Clinical Nuclear Medicine Council
Organizers: Twyla Bartel, DO, MBA, FACNM, & Lionel Zuckier, MD, MBA, FRCPC
Moderators: Erica Cohen, DO, FACNM, & Lionel Zuckier, MD, MBA, FRCPC
The COVID-19 pandemic has affected nearly all aspects of medicine. It has affected how we teach and learn via social distancing. It has also changed the physical layout of our departments, the way we interact with patients, colleagues, and trainees, and even the way we do some ex aminations. In addition, as a new disease, COVID-19 results in several new clinical manifestations that may be noted on nuclear medicine ex aminations.
The course will begin with a review of alternative and/or the best teaching methods for learning and retention, especially those that can be adapted to a remote situation, and followed by a discussion of data collected on which teaching methods have had the most positive impact during this COVID-19. We will then review multiple clinical aspects of the COVID-19 pandemic, in terms of its effects on medical care and “clinical” knowledge, and the business of medicine. We hope to present both best practices regarding COVID-19 and up-to-date clinical information. This should be of value to nuclear medicine technologists, trainees and practicing physicians, both in primarily educational and non-educational settings
- Review and explain different teaching methods and which work best for learning retention.
- Discuss data gathered on teaching methods during COVID which have had a positive impact on learning while physically distancing.
- Ensure the safe practice of nuclear medicine.
- Recognize findings on nuclear medicine studies in patients affected by COVID-19.
- Best Evidence-Based Teaching Methods for Learning Retention and which Can Work Well Remotely
Twyla Bartel, DO, MBA, FACNM
- What Our Data Analysis Shows on Which Methods During COIVD Have Most had a Positive Impact on Learning
Shana Elman, MD
- Effect of COVID-19 on Nuclear Medicine Operations Including Cardiovascular Manifestations
Vasken Dilsizian, MD, FSNMMI
- Non-Cardiac Manifestation of COVID-19 in the Nuclear Medicine Suite Including Safe Pulmonary Scintigraphy
Lionel Zuckier, MD, MBA, FRCPC
2:15–3:45 pm ET
Artificial Intelligence in Nuclear Medicine
Sponsored by the SNMMI Physics, Instrumentation and Data Sciences Council
Organizers: Joyita Dutta
This session will focus on the fundamentals of artificial intelligence (AI) and highlight recent advances in deep learning in the context of nuclear medicine imaging. Deep learning is particularly well-suited for the analysis of large and complex datasets including images. Unlike classical machine learning approaches, which rely on predetermined handcrafted features, deep learning algorithms learn features that are most meaningful for a given task. In this session, we aim to provide both a foundational overview of AI methodology and discuss major applications of AI in nuclear medicine. The session is intended to provide the attendees with an in-depth understanding of AI tools that have the potential to significantly improve diagnosis, prognosis, and treatment response assessment, and to take a significant step toward realization of precision (personalized) medicine.
- Describe the framework of a deep learning algorithm and how this differs from classical machine learning.
- Examine motivations for applying machine learning and deep learning methods to radiological images, and how these may significantly improve diagnosis, prognosis, and treatment response assessment.
- Recognize the pitfalls and challenges of, as well as solutions towards, the translation of deep learning methods to routine clinical practice
- Deep Learning and its Applications to Medical Imaging
Joyita Dutta, PhD
- Artificial Intelligence for Precision Medicine
Robert Jeraj, PhD
4:15–5:45 pm ET
Molecular Brain Imaging and the ATN Framework
Sponsored by the SNMMI Brain Imaging Council
Organizer/Moderator: Karina Mosci, MD
Dementia is multifactorial and presents a challenge both for diagnosis and treatment. The purpose of the session is to review the paper of Molecular Imaging in the NIA-AA research framework that defines AD biologically, by neuropathologic change or biomarkers, and treats cognitive impairment as a symptom/sign of the disease rather than the definition of the disease. The session will address ATN concepts while reviewing the actual clinical applications for amyloid, Tau and FDG PET in brain imaging. The session aims to improve the skills of training and already trained professionals.
- Examine the concept of ATN framework
- Interpret amyloid, Tau and FDG-PET in AD
- Discuss the potential of Molecular Imaging for personalized medicine by coding pathologic change
- Amyloid PET
Jonathan McConathy, MD, PhD
- Tau PET
Victor Villenmagne, MD
- Neurodegeneration/ FDG-PET
Satoshi Minoshima, MD, PhD
6:00–7:30 pm ET
Pediatric Nuclear Medicine Applications: Common to Obscure
Sponsored by the SNMMI Pediatric Imaging Council
Organizers: Victor Seghers, MD, PhD
Moderators: Victor Seghers, MD, PhD; Reza Vali, MD
This session will cover basic clinical pediatric nuclear medicine techniques in the areas of GU-Cystography, GI, and Epilepsy. It will also cover more obscure clinical ex aminations such as Lymphangiography and CSF-scintigraphy. The intended audience is general nuclear medicine physicians and technologist who are interested in or perform some pediatric cases. This course supports general “Nuts and Bolts” themes and are targeted for typical attendees of Mid-Winter Meetings.
- Discuss common pediatric nuclear medicine applications
- Gain insight into less common nuclear medicine applications
- Learn about best practices (technique, imaging protocol, radiation dose) of various pediatric nuclear medicine exams
- Pediatric GU Cystography
Tejal Mody, MD
- Pediatric GI Applications in Nuclear Medicine
Zvi Bar-Sever, MD
- Pediatric Epilepsy: Interesting Cases
Neha Kwatra, MD
- Pediatric Lymphangiography
Marguerite T. Parisi, MD, MS Ed
- Pediatric CSF-Scintigraphy
Hedieh Khalatbari, MD