Volumetric modulated craniospinal irradiation workflow optimization through quantitative analytics: a
Steven M Nguyen1, Julius K Weng2, Julian Sison3
1University of Central Florida College of Medicine, Orlando, FL, USA.
Journal of Radiation Oncology
|August 29, 2025
Summary
Quantitative analytics revealed that pediatric patients undergoing volumetric modulated arc therapy (VMAT) craniospinal irradiation (CSI) had shorter radiation treatment times than adults. Workflow analysis identified factors influencing treatment duration, aiding efficiency improvements.
Area of Science:
- Radiation Oncology
- Medical Physics
- Pediatric Oncology
Background:
- Volumetric Modulated Arc Therapy (VMAT) is a sophisticated radiation technique.
- Craniospinal Irradiation (CSI) is a complex treatment regimen often used in pediatric oncology.
- Assessing clinical workflow efficiency is crucial for optimizing patient care and resource allocation in radiation therapy.
Purpose of the Study:
- To evaluate the efficiency of clinical workflow for radiation therapy delivery in pediatric and adult patients.
- To analyze treatment times for VMAT CSI using quantitative analytics.
- To identify predictors of total radiation time (TRT) and potential causes for prolonged treatment sessions.
Main Methods:
- Retrospective collection of clinical and treatment data for VMAT CSI sessions from June 2013 to November 2018.
- Inclusion of 41 pediatric and 6 adult patients across two hospitals.
- Descriptive statistics and multiple linear regression modeling to predict TRT; outlier detection for quality assurance.
Main Results:
- Median pediatric TRT was 21.07 min, significantly shorter than adult TRT of 37.23 min.
- Pediatric patient height, fraction number, and isocenter count predicted TRT (p < 0.01).
- Factors like anxiety, setup challenges, and IGRT review contributed to prolonged TRT, particularly in pediatric cases.
Conclusions:
- Descriptive statistics and regression modeling effectively assess workflow efficiency and estimate radiation treatment times.
- Modeling VMAT CSI delivery times helps set expectations for image-guided radiation therapy (IGRT) and beam delivery.
- Workflow analytics can pinpoint inefficiencies and guide care coordination improvements.


