Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution
Background and purpose: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Physics and Imaging in Radiation Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405631621000592 |
| _version_ | 1828897325946241024 |
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| author | Laura M. O'Connor Kate Skehan Jae H. Choi John Simpson Jarad Martin Helen Warren-Forward Jason Dowling Peter Greer |
| author_facet | Laura M. O'Connor Kate Skehan Jae H. Choi John Simpson Jarad Martin Helen Warren-Forward Jason Dowling Peter Greer |
| author_sort | Laura M. O'Connor |
| collection | DOAJ |
| description | Background and purpose: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-only radiotherapy planning of male and female pelvic cancers. The secondary aim of this study was to improve dose agreement by applying a derived relative electron and mass density (RED) curve to the sCT. Method and materials: Computed tomography (CT) and MRI scans of forty patients with pelvic neoplasms were used in the study. Treatment plans were copied from the CT scan to the sCT scan for dose comparison. Dose difference at reference point, 3D gamma comparison and dose volume histogram analysis was used to validate the dose impact of the sCT. The RED values were optimised to improve dose agreement by using a linear plot. Results: The average percentage dose difference at isocentre was 1.2% and the mean 3D gamma comparison with a criteria of 1%/1 mm was 84.0% ± 9.7%. The results indicate an inherent systematic difference in the dosimetry of the sCT plans, deriving from the tissue densities. With the adapted REDmod table, the average percentage dose difference was reduced to −0.1% and the mean 3D gamma analysis improved to 92.9% ± 5.7% at 1%/1 mm. Conclusions: CT generation software is a viable solution for MRI-only radiotherapy planning. The option makes it relatively easy for departments to implement a MRI-only planning workflow for cancers of male and female pelvic anatomy. |
| first_indexed | 2024-12-13T14:55:42Z |
| format | Article |
| id | doaj.art-fc54d33fa4854daaae78b993e23eb0ac |
| institution | Directory Open Access Journal |
| issn | 2405-6316 |
| language | English |
| last_indexed | 2024-12-13T14:55:42Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Physics and Imaging in Radiation Oncology |
| spelling | doaj.art-fc54d33fa4854daaae78b993e23eb0ac2022-12-21T23:41:15ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162021-10-01203439Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solutionLaura M. O'Connor0Kate Skehan1Jae H. Choi2John Simpson3Jarad Martin4Helen Warren-Forward5Jason Dowling6Peter Greer7Department of Radiation Oncology, Calvary Mater Hospital, Newcastle, NSW, Australia; School of Health Sciences, University of Newcastle, Newcastle, NSW, Australia; Corresponding author at: Department of Radiation Oncology, Calvary Mater Hospital, Cnr Edith & Platt St, Waratah, Newcastle, NSW 2298, Australia.Department of Radiation Oncology, Calvary Mater Hospital, Newcastle, NSW, AustraliaSchool of Medicine and Public Health, University of Newcastle, Newcastle, NSW, AustraliaDepartment of Radiation Oncology, Calvary Mater Hospital, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, AustraliaDepartment of Radiation Oncology, Calvary Mater Hospital, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, AustraliaSchool of Health Sciences, University of Newcastle, Newcastle, NSW, AustraliaSchool of Mathematical and Physical Sciences, University of Newcastle, Newcastle, NSW, Australia; Australian E-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Herston, QLD, AustraliaDepartment of Radiation Oncology, Calvary Mater Hospital, Newcastle, NSW, Australia; School of Medicine and Public Health, University of Newcastle, Newcastle, NSW, AustraliaBackground and purpose: Magnetic resonance imaging (MRI)-only treatment planning is gaining in popularity in radiation oncology, with various methods available to generate a synthetic computed tomography (sCT) for this purpose. The aim of this study was to validate a sCT generation software for MRI-only radiotherapy planning of male and female pelvic cancers. The secondary aim of this study was to improve dose agreement by applying a derived relative electron and mass density (RED) curve to the sCT. Method and materials: Computed tomography (CT) and MRI scans of forty patients with pelvic neoplasms were used in the study. Treatment plans were copied from the CT scan to the sCT scan for dose comparison. Dose difference at reference point, 3D gamma comparison and dose volume histogram analysis was used to validate the dose impact of the sCT. The RED values were optimised to improve dose agreement by using a linear plot. Results: The average percentage dose difference at isocentre was 1.2% and the mean 3D gamma comparison with a criteria of 1%/1 mm was 84.0% ± 9.7%. The results indicate an inherent systematic difference in the dosimetry of the sCT plans, deriving from the tissue densities. With the adapted REDmod table, the average percentage dose difference was reduced to −0.1% and the mean 3D gamma analysis improved to 92.9% ± 5.7% at 1%/1 mm. Conclusions: CT generation software is a viable solution for MRI-only radiotherapy planning. The option makes it relatively easy for departments to implement a MRI-only planning workflow for cancers of male and female pelvic anatomy.http://www.sciencedirect.com/science/article/pii/S2405631621000592MRI only radiation therapySynthetic CTRadiotherapyRadiation therapy treatment planningProstate cancerRectal cancer |
| spellingShingle | Laura M. O'Connor Kate Skehan Jae H. Choi John Simpson Jarad Martin Helen Warren-Forward Jason Dowling Peter Greer Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution Physics and Imaging in Radiation Oncology MRI only radiation therapy Synthetic CT Radiotherapy Radiation therapy treatment planning Prostate cancer Rectal cancer |
| title | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
| title_full | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
| title_fullStr | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
| title_full_unstemmed | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
| title_short | Optimisation and validation of an integrated magnetic resonance imaging-only radiotherapy planning solution |
| title_sort | optimisation and validation of an integrated magnetic resonance imaging only radiotherapy planning solution |
| topic | MRI only radiation therapy Synthetic CT Radiotherapy Radiation therapy treatment planning Prostate cancer Rectal cancer |
| url | http://www.sciencedirect.com/science/article/pii/S2405631621000592 |
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