SIR 2024
Interventional Oncology
David J. Schaub, BS
Medical Student
University of Arizona
Financial relationships: Full list of relationships is listed on the CME information page.
Jacob Ref, BS
Medical Student
University of Arizona
Financial relationships: Full list of relationships is listed on the CME information page.
Troy Weinstein, BS
Medical Student
University of Arizona College of Medicine - Tucson
Financial relationships: Full list of relationships is listed on the CME information page.
Brandon Nguyen, BS, MS
Medical Student
University of Arizona College of Medicine - Tucson
Disclosure information not submitted.
Daniel Goldberg, MD
Assistant Professor
University of Arizona - Tucson
Disclosure information not submitted.
Jack Hannallah, MD, MBA, MPH
Assistant Professor
University of Arizona
Disclosure information not submitted.
Shamar Young, MD
Associate professor and Chief of Interventional Radiology
University of Arizona
Financial relationships: Full list of relationships is listed on the CME information page.
Gregory J. Woodhead, MD, PhD
Assistant Professor, Interventional Radiology
University of Arizona
Disclosure information not submitted.
Lucas C. Struycken, MD
Fellow
Banner University Medical Center Tucson
Disclosure information not submitted.
(1) To understand the types of information made publicly available by the Surveillance, Epidemiology, and End Results (SEER) and National Cancer Database (NCDB) in the context of Interventional Oncology (IO) observational research. (2) Review techniques for navigating and extracting relevant data from SEER and NCDB. (3) Recognize the advantages and disadvantages of using these databases for IO research.
Background:
Observational research in the field of IO using massive, publicly available datasets such as SEER and NCDB can provide valuable insights into treatment outcomes, patient demographics, and historical as well as emerging trends in cancer treatment. This educational exhibit delves into the capabilities and limitations of the SEER and National Cancer Database, two robust sources of oncological data, which can enable IO researchers to supplement and bolster existing research as well as offer new insight and perspective.
Clinical Findings/Procedure Details: This exhibit will provide an overview of the framework and contents of SEER and NCBD, including the types of data available and the historical timeframes they encompass. Tips and techniques for data extraction will be reviewed, including step-by-step details for querying, and extracting relevant and specific information from these databases. The applications for use in observational IO research will be highlighted, such as treatment efficacy assessments, survival analyses, and patient outcomes evaluation. Lastly, the unique limitations and pitfalls of observational research using these databases will be addressed, including potential biases and data quality issues inherent in large-scale databases.
Conclusion and/or Teaching Points:
Upon reviewing the exhibit, participants will have better understanding for the applications, advantages, and disadvantages of using SEER and NCDB for observational research in the field of IO. Additionally, viewers will be provided with step-by-step instructions on how to access and navigate these datasets.