SIR 2025
Interventional Oncology
Traditional Poster
Neel Nirgudkar, MD
Resident
Interventional Radiology, United States
Jackie Brenner, BS (she/her/hers)
Medical Student
University of Miami, United States
Marisela Neff (she/her/hers)
Medical Student
University of Miami, United States
Nikita Bansal, BS
Medical Student
University of Miami, United States
John Cacciatore, BS
Medical Student
University of Miami, United States
Kenneth Richardson, MD
Resident
Department of Radiology, University of South Florida, Tampa, United States
Bradford J. Wood, MD, FSIR
United States
Joseph Zikria, MD
Assistant Professor of Clinical Radiology
University of Miami, United States
Jessica Kumar, MD
Attending
University of Miami, United States
Usman Shahid, MD
Attending
University of Miami, United States
Shree Venkat, MD
Attending
University of Miami, United States
Francisco Alessandrino, MD
Attending
University of Miami, United States
Lorraine Portelance, MD
Attending
University of Miami, United States
Benjamin Spieler, MD
Attending
University of Miami, United States
Lindsay Thornton, MD
APD
University of Miami Miller School of Medicine, United States
Combining voxel-based dosimetry with advanced imaging modalities like cone-beam CT, VPP, and SPECT may offer a more comprehensive solution. CBCT VPP enables real-time mapping of hepatic perfusion, identifying underdosed regions and optimizing catheter positioning during Y90 delivery. Post-treatment SPECT verifies microsphere distribution, correlating delivered dose with clinical outcomes (5,7,8).
Specifically, comparison metrics will be assessed with Dice & Hausdorf coefficients comparing paired volumes of any two different modalities (pre-CT, SPECT, procedure CBCT, post CT), and correlating these metrics with survival and local failure. This study aims to integrate voxel-based dosimetry, CBCT VPP, and SPECT to assess dose distribution and its link to tumor recurrence after Y90 TARE, guiding adaptive strategies for improved tumor control.
Conclusion and/or Teaching Points: The combination of these technologies may represent a significant advancement in personalized dosimetry, potentially improving precision, standardization, and predictive models in patients undergoing Y90 therapy. Predicting tissue at risk for underdosing could enable closed-loop procedures, allowing for real-time adjustments and more effective, tailored combination therapies. This would optimize precise, personalized, and dose-specific TARE, ensuring the appropriate dose is delivered to the target tissue and patient at the optimal time.