Selection of FDG Positron Emission Tomography–Based Bioparametric Matrixes for Tumor Dose Response Mapping and Adaptive Dose Painting by Number

Author(s):  
D. Yan ◽  
S. Chen ◽  
D.J. Krauss ◽  
P.Y. Chen ◽  
J. Zhu ◽  
...  
2019 ◽  
Vol 92 (1099) ◽  
pp. 20180901 ◽  
Author(s):  
Robert Kosztyla ◽  
Srinivas Raman ◽  
Vitali Moiseenko ◽  
Stefan A Reinsberg ◽  
Brian Toyota ◽  
...  

Objective: To determine whether dose painting with volumetric modulated arc therapy for high-grade gliomas using 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-FDOPA) positron emission tomography (PET) could achieve dose-escalated coverage of biological target volumes (BTVs) without increasing the dose to cranial organs at risk (OARs). Methods: 10 patients with high-grade gliomas underwent CT, MRI, and 18F-FDOPA PET/CT images for post-operative radiation therapy planning. Two volumetric modulated arc therapy plans were retrospectively generated for each patient: a conventional plan with 60 Gy in 30 fractions to the planning target volume delineated on MRI and a dose-escalated plan with a maximum dose of 80 Gy in 30 fractions to BTVs. BTVs were created by thresholding 18F-FDOPA PET/CT uptake using a linear quadratic model that assumed tracer uptake was linearly related to tumour cell density. The maximum doses and equivalent uniform doses of OARs were compared. Results: The median volume of the planning target volume receiving at least 95% of the prescribed dose (V 95%) was 99.6% with and 99.5% without dose painting. The median V 95% was >99.2% for BTVs. The maximum doses and equivalent uniform doses to the OARs did not differ significantly between the conventional and dose-painted plans. Conclusion: Using commercially available treatment planning software, dose painting for high-grade gliomas was feasible with good BTV coverage and no significant change in the dose to OARs. Advances in knowledge: A novel treatment planning strategy was used to achieve dose painting for gliomas with BTVs obtained from 18F-FDOPA PET/CT using a radiobiological model.


2009 ◽  
Vol 10 (4) ◽  
pp. 244-248 ◽  
Author(s):  
Brad E. Wilcox ◽  
Rathan M. Subramaniam ◽  
Patrick J. Peller ◽  
Gregory L. Aughenbaugh ◽  
Francis C. Nichols ◽  
...  

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