Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans
Background: Treatment plans for head and neck (H&N) cancer are highly complex due to multiple dose prescription levels and numerous organs at risk (OARs) close to the target. The plan quality is inter-planner dependent since it is dependent on the skills and experience of the dosimetrist. This s...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016-12-01
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| Series: | Clinical and Translational Radiation Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405630816300040 |
| _version_ | 1819200034738012160 |
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| author | Christian Rønn Hansen Anders Bertelsen Irene Hazell Ruta Zukauskaite Niels Gyldenkerne Jørgen Johansen Jesper G. Eriksen Carsten Brink |
| author_facet | Christian Rønn Hansen Anders Bertelsen Irene Hazell Ruta Zukauskaite Niels Gyldenkerne Jørgen Johansen Jesper G. Eriksen Carsten Brink |
| author_sort | Christian Rønn Hansen |
| collection | DOAJ |
| description | Background: Treatment plans for head and neck (H&N) cancer are highly complex due to multiple dose prescription levels and numerous organs at risk (OARs) close to the target. The plan quality is inter-planner dependent since it is dependent on the skills and experience of the dosimetrist. This study presents a blinded prospective clinical comparison of automatic (AU) and manually (MA) generated H&N VMAT plans made for clinical use.
Methods: MA and AU plans were generated for 30 consecutive patients in Pinnacle3 using the IMRT optimisation module and the new Autoplan module, respectively. The plan quality was blindedly compared by three senior oncologists and the best plan was selected for treatment of the patient. Planning time was measured as the active operator time used. The plan quality was analysed with DVH metrics and the dose delivery accuracy validated on the ArcCheck phantom.
Results: For twenty-nine out of the thirty patients the AU plan was chosen for treatment. Target doses were more homogenous with the AU plans and the OAR doses were significantly reduced, between 0.5 and 6.5 Gy. The average operator time spent on creating a manual plan was 64 min which was halved by Autoplan. The AU plans were more modulated as illustrated by an increase in MUs, which might cause the slightly lower pass rate of 97.7% in the ArcCheck measurements.
Conclusions: Target doses were similar between MA and AU plan, while AU plans spared all OAR considerably better than the MA plans. |
| first_indexed | 2024-12-23T03:25:49Z |
| format | Article |
| id | doaj.art-5d86df2a87d444b1aed00ceee694a2a8 |
| institution | Directory Open Access Journal |
| issn | 2405-6308 |
| language | English |
| last_indexed | 2024-12-23T03:25:49Z |
| publishDate | 2016-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Clinical and Translational Radiation Oncology |
| spelling | doaj.art-5d86df2a87d444b1aed00ceee694a2a82022-12-21T18:01:51ZengElsevierClinical and Translational Radiation Oncology2405-63082016-12-011C2810.1016/j.ctro.2016.08.001Automatic treatment planning improves the clinical quality of head and neck cancer treatment plansChristian Rønn Hansen0Anders Bertelsen1Irene Hazell2Ruta Zukauskaite3Niels Gyldenkerne4Jørgen Johansen5Jesper G. Eriksen6Carsten Brink7Laboratory of Radiation Physics, Odense University Hospital, Odense, DenmarkLaboratory of Radiation Physics, Odense University Hospital, Odense, DenmarkLaboratory of Radiation Physics, Odense University Hospital, Odense, DenmarkInstitute of Clinical Research, University of Southern Denmark, Odense, DenmarkDepartment of Oncology, Odense University Hospital, Odense, DenmarkInstitute of Clinical Research, University of Southern Denmark, Odense, DenmarkInstitute of Clinical Research, University of Southern Denmark, Odense, DenmarkLaboratory of Radiation Physics, Odense University Hospital, Odense, DenmarkBackground: Treatment plans for head and neck (H&N) cancer are highly complex due to multiple dose prescription levels and numerous organs at risk (OARs) close to the target. The plan quality is inter-planner dependent since it is dependent on the skills and experience of the dosimetrist. This study presents a blinded prospective clinical comparison of automatic (AU) and manually (MA) generated H&N VMAT plans made for clinical use. Methods: MA and AU plans were generated for 30 consecutive patients in Pinnacle3 using the IMRT optimisation module and the new Autoplan module, respectively. The plan quality was blindedly compared by three senior oncologists and the best plan was selected for treatment of the patient. Planning time was measured as the active operator time used. The plan quality was analysed with DVH metrics and the dose delivery accuracy validated on the ArcCheck phantom. Results: For twenty-nine out of the thirty patients the AU plan was chosen for treatment. Target doses were more homogenous with the AU plans and the OAR doses were significantly reduced, between 0.5 and 6.5 Gy. The average operator time spent on creating a manual plan was 64 min which was halved by Autoplan. The AU plans were more modulated as illustrated by an increase in MUs, which might cause the slightly lower pass rate of 97.7% in the ArcCheck measurements. Conclusions: Target doses were similar between MA and AU plan, while AU plans spared all OAR considerably better than the MA plans.http://www.sciencedirect.com/science/article/pii/S2405630816300040AutomaticTreatment planningHead and neckVMATPinnacle |
| spellingShingle | Christian Rønn Hansen Anders Bertelsen Irene Hazell Ruta Zukauskaite Niels Gyldenkerne Jørgen Johansen Jesper G. Eriksen Carsten Brink Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans Clinical and Translational Radiation Oncology Automatic Treatment planning Head and neck VMAT Pinnacle |
| title | Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| title_full | Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| title_fullStr | Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| title_full_unstemmed | Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| title_short | Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| title_sort | automatic treatment planning improves the clinical quality of head and neck cancer treatment plans |
| topic | Automatic Treatment planning Head and neck VMAT Pinnacle |
| url | http://www.sciencedirect.com/science/article/pii/S2405630816300040 |
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