Functional-guided radiotherapy using knowledge-based planning.
Publication/Presentation Date
12-1-2018
Abstract
BACKGROUND AND PURPOSE: There are two significant challenges when implementing functional-guided radiotherapy using 4DCT-ventilation imaging: (1) lack of knowledge of realistic patient specific dosimetric goals for functional lung and (2) ensuring consistent plan quality across multiple planners. Knowledge-based planning (KBP) is positioned to address both concerns.
MATERIAL AND METHODS: A KBP model was created from 30 previously planned functional-guided lung patients. Standard organs at risk (OAR) in lung radiotherapy and a ventilation contour delineating areas of high ventilation were included. Model validation compared dose-metrics to standard OARs and functional dose-metrics from 20 independent cases that were planned with and without KBP.
RESULTS: A significant improvement was observed for KBP optimized plans in V20Gy and mean dose to functional lung (p = 0.005 and 0.001, respectively), V20Gy and mean dose to total lung minus GTV (p = 0.002 and 0.01, respectively), and mean doses to esophagus (p = 0.005).
CONCLUSION: The current work developed a KBP model for functional-guided radiotherapy. Modest, but statistically significant, improvements were observed in functional lung and total lung doses.
Volume
129
Issue
3
First Page
494
Last Page
498
ISSN
1879-0887
Published In/Presented At
Faught, A. M., Olsen, L., Schubert, L., Rusthoven, C., Castillo, E., Castillo, R., Zhang, J., Guerrero, T., Miften, M., & Vinogradskiy, Y. (2018). Functional-guided radiotherapy using knowledge-based planning. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 129(3), 494–498. https://doi.org/10.1016/j.radonc.2018.03.025
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
29628292
Department(s)
Administration and Leadership
Document Type
Article