Date Approved
8-10-2025
Graduate Degree Type
Project
Degree Name
Medical Dosimetry (M.S.)
Degree Program
Allied Health Sciences
First Advisor
Emilie Soisson
Academic Year
2024/2025
Abstract
This study aimed to evaluate the dosimetric impact of Hybrid Arc Palliative Radiation Therapy (HART) versus conventional anterior-posterior/posterior-anterior (APPA) beam arrangements for thoracic spine metastases. The primary objective was to assess differences in conformity, homogeneity, and organ-at-risk (OAR) sparing between the two techniques. A retrospective plan comparison was conducted using anonymized datasets from twenty patients previously treated with HART. Each case was replanned using a standard APPA technique, normalized to match the target coverage of the original HART plan within 0.1%. All plans were prescribed 20 Gy in 5 fractions. Plan quality was evaluated using conformity index (CI), homogeneity index (HI), and predefined dose-volume metrics. Plans using the HART technique demonstrated significantly improved dose conformity (median CI 1.16 vs. 2.63, P = .0004) and homogeneity (median HI 1.12 vs. 1.25, P < .0001) compared to APPA plans. The APPA technique delivered higher doses to critical structures, including the spinal cord, esophagus, heart, stomach, and small bowel. HART increased low-dose exposure to the liver, kidneys, lungs minus clinical target volume (CTV), and small bowel, although all values remained within clinically acceptable limits. Compared to APPA, HART provided superior target conformality and homogeneity while reducing high-dose exposure to critical thoracic structures. These findings support HART as a promising approach for palliative thoracic spine radiation, with potential to improve patient comfort and reduce treatment-related toxicity.
ScholarWorks Citation
VanEaton, Alaina, "Optimizing Palliative Spine Radiation: A Dosimetric Comparison of Hybrid Arc Therapy and Conventional APPA Techniques" (2025). Culminating Experience Projects. 633.
https://scholarworks.gvsu.edu/gradprojects/633

