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Sep 30
Education

EDU 59 - Imaging Biomarkers in Radiotherapy: Enhancing Precision and Personalization

05:15pm - 06:15pm PT
Digital Health Innovation and Informatics
Radiation and Cancer Physics

MODERATOR(S)

Dandan Zheng, PhD - University of Rochester

Anil Sethi, PhD, FAAPM - Loyola University Medical Center

session DESCRIPTION

This session explores the evolving role of imaging biomarkers in radiotherapy, focusing on their capacity to improve target delineation, systemically predict and monitor treatment responses, and inform personalized clinical decision making on adaptive platforms. Advances in MRI, PET, and CT/CBCT modalities, coupled with quantitative imaging analyses and AI-driven analytics, are transforming cancer treatment by enabling greater personalization. Current key trends include leveraging functional and multiparametric imaging to reveal underlying tumor biology beyond structural morphology, the evolution of adaptive radiotherapy platforms that generate high quality, longitudinal imaging data, the growing integration of AI and radiomics to enhance prediction precision, and emerging use of molecular imaging probes to target tumor-specific pathways related to radiotherapy. Through a series of expert-led talks, attendees will learn how these innovations in personalized treatment strategies are translating into improved patient outcomes with reduced toxicities. This session will also address potential challenges such as lack of standardization, validation and equitable access to cutting-edge technologies while fostering discussions on inclusive solutions in clinical and research settings.

learning objectives

  1. Examine the utility and untapped potential of imaging biomarkers across MRI, PET and CT in radiotherapy.
  2. Discuss the role of adaptive platforms and AI in enhancing treatment precision.
  3. Understand the application of imaging biomarkers across different cancer disease sites.

Credits

AMA PRA Category 1 Credits: 1.00

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