Robert Kosztyla
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Robert Kosztyla has a total of 71 co-authors. Here are the top co-authors by number of shared publications:
- Vitali Moiseenko
Department of Medical Physics, BC Cancer Agency, Vancouver, British Columbia, Canada
6 shared publications Vitali Moiseenko
Department of Radiation Medicine and Applied Sciences, University of California San Diego , La Jolla, California , US
4 shared publications- Alan Nichol
Department of Radiation Oncology, BC Cancer, Vancouver, British Columbia, Canada; University of British Columbia, Vancouver, British Columbia, Canada
3 shared publications Brian Toyota
Division of Neurosurgery, University of British Columbia , Vancouver, British Columbia , Canada
3 shared publicationsCatherine Crumley
British Columbia Cancer Agency
2 shared publicationsEmily Vollans
British Columbia Cancer Agency
2 shared publications
Latest Publications
- 28 May 2021
- Published by Taylor & Francis
- p. 549-561
SBRT for Metastatic Disease to the Sacrum
The sacrum is an anatomically complex region composed of five progressively smaller vertebrae, S1 to S5. Unlike the rest of the ‘mobile’ spine (cervical, thoracic, and lumbar regions) where vertebral bodies are separated by intervertebral disc structures, each sacral vertebra is separated by the remnants of previous intervertebral spaces represented as transverse lines of fibrocartilage on complete fusion on the ventral aspect of the sacrum (1–3). In addition to affording the spine flexibility, the intervertebral disc structures are also thought to prevent direct metastatic spread between vertebrae due to factors such as avascularization and high intra-disc pressure. Given the contiguous nature of the sacral vertebrae, it is unlikely the sacrum benefits from similar mechanical or biochemical factors to prevent spread, though there is scant information in the literature on this area (4–7).
- 28 May 2021
- Published by Taylor & Francis
- p. 549-561
SBRT for Metastatic Disease to the Sacrum
The sacrum is an anatomically complex region composed of five progressively smaller vertebrae, S1 to S5. Unlike the rest of the ‘mobile’ spine (cervical, thoracic, and lumbar regions) where vertebral bodies are separated by intervertebral disc structures, each sacral vertebra is separated by the remnants of previous intervertebral spaces represented as transverse lines of fibrocartilage on complete fusion on the ventral aspect of the sacrum (1–3). In addition to affording the spine flexibility, the intervertebral disc structures are also thought to prevent direct metastatic spread between vertebrae due to factors such as avascularization and high intra-disc pressure. Given the contiguous nature of the sacral vertebrae, it is unlikely the sacrum benefits from similar mechanical or biochemical factors to prevent spread, though there is scant information in the literature on this area (4–7).
- 14 May 2019
- Published by Oxford University Press (OUP) in British Journal of Radiology
- Vol. 92 (1099) , 20180901
Dose-painted volumetric modulated arc therapy of high-grade glioma using 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine positron emission tomography
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.
- 14 May 2019
- Published by Oxford University Press (OUP) in British Journal of Radiology
- Vol. 92 (1099) , 20180901
Dose-painted volumetric modulated arc therapy of high-grade glioma using 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine positron emission tomography
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.
- Open Access
- 5 October 2016
- Published by Springer Nature in Cureus
- Vol. 8 (10) , e817
Interhemispheric Difference Images from Postoperative Diffusion Tensor Imaging of Gliomas
Introduction Determining the full extent of gliomas during radiotherapy planning can be challenging with conventional T1 and T2 magnetic resonance imaging (MRI). The purpose of this study was to develop a method to automatically calculate differences in the fractional anisotropy (FA) and mean diffusivity (MD) values in target volumes obtained with diffusion tensor imaging (DTI) by comparing with values from anatomically homologous voxels on the contralateral side of the brain. Methods Seven patients with a histologically confirmed glioma underwent postoperative radiotherapy planning with 1.5 T MRI and computed tomography. DTI was acquired using echo planar imaging for 20 noncolinear directions with b = 1000 s/mm2 and one additional image with b = 0, repeated four times for signal averaging. The distribution of FA and MD was calculated in the gross tumor volume (GTV), shells 0-5 mm, 5-10 mm, 10-15 mm, 15-20 mm, and 20-25 mm outside the GTV, and the GTV mirrored in the left-right direction (mirGTV). All images were aligned to a template image, and FA and MD interhemispheric difference images were calculated. The difference in mean FA and MD between the regions of interest was statistically tested using two-sided paired t-tests with α = 0.05. Results The mean FA in mirGTV was 0.20 ± 0.04, which was larger than the FA in the GTV (0.12 ± 0.03) and shells 0-5 mm (0.15 ± 0.03) and 5-10 mm (0.17 ± 0.03) outside the GTV. The mean MD (×10-3 mm2/s) in mirGTV was 0.93 ± 0.09, which was smaller than the MD in the GTV (1.48 ± 0.19) and the peritumoral shells. The distribution of FA and MD interhemispheric differences followed the same trends as FA and MD values. Conclusions This study successfully implemented a method for calculation of FA and MD differences by comparison of voxel values with anatomically homologous voxels on the contralateral side of the brain. Further research is warranted to determine if radiotherapy planning using these images can be used to improve target delineation.
- 5 October 2016
- Published by Springer Nature in Cureus
- Vol. 8 (10) , e817
Open AccessInterhemispheric Difference Images from Postoperative Diffusion Tensor Imaging of Gliomas
Introduction Determining the full extent of gliomas during radiotherapy planning can be challenging with conventional T1 and T2 magnetic resonance imaging (MRI). The purpose of this study was to develop a method to automatically calculate differences in the fractional anisotropy (FA) and mean diffusivity (MD) values in target volumes obtained with diffusion tensor imaging (DTI) by comparing with values from anatomically homologous voxels on the contralateral side of the brain. Methods Seven patients with a histologically confirmed glioma underwent postoperative radiotherapy planning with 1.5 T MRI and computed tomography. DTI was acquired using echo planar imaging for 20 noncolinear directions with b = 1000 s/mm2 and one additional image with b = 0, repeated four times for signal averaging. The distribution of FA and MD was calculated in the gross tumor volume (GTV), shells 0-5 mm, 5-10 mm, 10-15 mm, 15-20 mm, and 20-25 mm outside the GTV, and the GTV mirrored in the left-right direction (mirGTV). All images were aligned to a template image, and FA and MD interhemispheric difference images were calculated. The difference in mean FA and MD between the regions of interest was statistically tested using two-sided paired t-tests with α = 0.05. Results The mean FA in mirGTV was 0.20 ± 0.04, which was larger than the FA in the GTV (0.12 ± 0.03) and shells 0-5 mm (0.15 ± 0.03) and 5-10 mm (0.17 ± 0.03) outside the GTV. The mean MD (×10-3 mm2/s) in mirGTV was 0.93 ± 0.09, which was smaller than the MD in the GTV (1.48 ± 0.19) and the peritumoral shells. The distribution of FA and MD interhemispheric differences followed the same trends as FA and MD values. Conclusions This study successfully implemented a method for calculation of FA and MD differences by comparison of voxel values with anatomically homologous voxels on the contralateral side of the brain. Further research is warranted to determine if radiotherapy planning using these images can be used to improve target delineation.
- Open Access
- 1 September 2016
- Published by Elsevier in Radiotherapy and Oncology
- Vol. 120, S18
45: Volumetric Modulated ARC Therapy of High-Grade Gliomas using 18F-FDOPA Positron Emission Tomography for Dose Painting
- 1 September 2016
- Published by Elsevier in Radiotherapy and Oncology
- Vol. 120, S18
Open Access45: Volumetric Modulated ARC Therapy of High-Grade Gliomas using 18F-FDOPA Positron Emission Tomography for Dose Painting
- 14 April 2015
- Published by Springer Nature in Journal of Radiation Oncology
- Vol. 4 (2) , 177-184
Liver dosimetric evaluation in biologically based stereotactic body radiotherapy for large inoperable hepatocellular carcinoma
- 14 April 2015
- Published by Springer Nature in Journal of Radiation Oncology
- Vol. 4 (2) , 177-184
Liver dosimetric evaluation in biologically based stereotactic body radiotherapy for large inoperable hepatocellular carcinoma
- 1 November 2014
- Published by Elsevier in Practical Radiation Oncology
- Vol. 4 (6) , 372-377
Liver toxicity prediction with stereotactic body radiation therapy: The impact of accounting for fraction size
- 1 November 2014
- Published by Elsevier in Practical Radiation Oncology
- Vol. 4 (6) , 372-377
Liver toxicity prediction with stereotactic body radiation therapy: The impact of accounting for fraction size
- 1 December 2013
- Published by Elsevier in International Journal of Radiation Oncology - Biology - Physics (IJROBP)
- Vol. 87 (5) , 1100-1106
High-Grade Glioma Radiation Therapy Target Volumes and Patterns of Failure Obtained From Magnetic Resonance Imaging and 18F-FDOPA Positron Emission Tomography Delineations From Multiple Observers
- 1 December 2013
- Published by Elsevier in International Journal of Radiation Oncology - Biology - Physics (IJROBP)
- Vol. 87 (5) , 1100-1106
High-Grade Glioma Radiation Therapy Target Volumes and Patterns of Failure Obtained From Magnetic Resonance Imaging and 18F-FDOPA Positron Emission Tomography Delineations From Multiple Observers
- 20 September 2013
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 58 (20) , 7107-7116
Monte Carlo calculation of dose distributions in oligometastatic patients planned for spine stereotactic ablative radiotherapy
Dosimetric consequences of plans optimized using the analytical anisotropic algorithm (AAA) implemented in the Varian Eclipse treatment planning system for spine stereotactic body radiotherapy were evaluated by re-calculating with BEAMnrc/DOSXYZnrc Monte Carlo. Six patients with spinal vertebral metastases were planned using volumetric modulated arc therapy. The planning goal was to cover at least 80% of the planning target volume with a prescribed dose of 35 Gy in five fractions. Tissue heterogeneity-corrected AAA dose distributions for the planning target volume and spinal canal planning organ-at-risk volume were compared against those obtained from Monte Carlo. The results showed that the AAA overestimated planning target volume coverage with the prescribed dose by up to 13.5% (mean 8.3% +/− 3.2%) when compared to Monte Carlo simulations. Maximum dose to spinal canal planning organ-at-risk volume calculated with Monte Carlo was consistently smaller than calculated with the treatment planning system and remained under spinal cord dose tolerance. Differences in dose distribution appear to be related to the dosimetric effects of accounting for body composition in Monte Carlo simulations. In contrast, the treatment planning system assumes that all tissues are water-equivalent in their composition and only differ in their electron density.
- 20 September 2013
- Published by IOP Publishing in Physics in Medicine & Biology
- Vol. 58 (20) , 7107-7116
Monte Carlo calculation of dose distributions in oligometastatic patients planned for spine stereotactic ablative radiotherapy
Dosimetric consequences of plans optimized using the analytical anisotropic algorithm (AAA) implemented in the Varian Eclipse treatment planning system for spine stereotactic body radiotherapy were evaluated by re-calculating with BEAMnrc/DOSXYZnrc Monte Carlo. Six patients with spinal vertebral metastases were planned using volumetric modulated arc therapy. The planning goal was to cover at least 80% of the planning target volume with a prescribed dose of 35 Gy in five fractions. Tissue heterogeneity-corrected AAA dose distributions for the planning target volume and spinal canal planning organ-at-risk volume were compared against those obtained from Monte Carlo. The results showed that the AAA overestimated planning target volume coverage with the prescribed dose by up to 13.5% (mean 8.3% +/− 3.2%) when compared to Monte Carlo simulations. Maximum dose to spinal canal planning organ-at-risk volume calculated with Monte Carlo was consistently smaller than calculated with the treatment planning system and remained under spinal cord dose tolerance. Differences in dose distribution appear to be related to the dosimetric effects of accounting for body composition in Monte Carlo simulations. In contrast, the treatment planning system assumes that all tissues are water-equivalent in their composition and only differ in their electron density.