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      Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Highlights

          • Autoplan can produce clinically better VMAT radiotherapy plans for H&N cancer.

          • Autoplan plans have similar target coverage with significant sparing of OAR.

          • With a template the TPS can automatically create better plans than manually created plans.

          Abstract

          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 Pinnacle 3 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.

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          Most cited references18

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          Critical impact of radiotherapy protocol compliance and quality in the treatment of advanced head and neck cancer: results from TROG 02.02.

          To report the impact of radiotherapy quality on outcome in a large international phase III trial evaluating radiotherapy with concurrent cisplatin plus tirapazamine for advanced head and neck cancer. The protocol required interventional review of radiotherapy plans by the Quality Assurance Review Center (QARC). All plans and radiotherapy documentation underwent post-treatment review by the Trial Management Committee (TMC) for protocol compliance. Secondary review of noncompliant plans for predicted impact on tumor control was performed. Factors associated with poor protocol compliance were studied, and outcome data were analyzed in relation to protocol compliance and radiotherapy quality. At TMC review, 25.4% of the patients had noncompliant plans but none in which QARC-recommended changes had been made. At secondary review, 47% of noncompliant plans (12% overall) had deficiencies with a predicted major adverse impact on tumor control. Major deficiencies were unrelated to tumor subsite or to T or N stage (if N+), but were highly correlated with number of patients enrolled at the treatment center ( or = 20 patients, 5.4%; P < .001). In patients who received at least 60 Gy, those with major deficiencies in their treatment plans (n = 87) had a markedly inferior outcome compared with those whose treatment was initially protocol compliant (n = 502): -2 years overall survival, 50% v 70%; hazard ratio (HR), 1.99; P < .001; and 2 years freedom from locoregional failure, 54% v 78%; HR, 2.37; P < .001, respectively. These results demonstrate the critical importance of radiotherapy quality on outcome of chemoradiotherapy in head and neck cancer. Centers treating only a few patients are the major source of quality problems.
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            Evaluation of a knowledge-based planning solution for head and neck cancer.

            Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new patients and uses those models for setting optimization objectives. We benchmarked RapidPlan versus clinical plans for 2 patient groups, using 3 different libraries.
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              On the pre-clinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate cancer.

              To evaluate the performance of a model-based optimisation process for volumetric modulated arc therapy applied to advanced lung cancer and to low risk prostate carcinoma patients.
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                Author and article information

                Contributors
                Journal
                Clin Transl Radiat Oncol
                Clin Transl Radiat Oncol
                Clinical and Translational Radiation Oncology
                Elsevier
                2405-6308
                19 September 2016
                December 2016
                19 September 2016
                : 1
                : 2-8
                Affiliations
                [a ]Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark
                [b ]Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
                [c ]Department of Oncology, Odense University Hospital, Odense, Denmark
                Author notes
                [* ]Corresponding author at: Odense University Hospital, Sdr. Boulevard 29, 5000 Odense, Denmark.Odense University HospitalSdr. Boulevard 295000 OdenseDenmark Christian.Roenn@ 123456rsyd.dk
                Article
                S2405-6308(16)30004-0
                10.1016/j.ctro.2016.08.001
                5893480
                29657987
                f63b4468-9579-4718-8cbc-532fea6e7b8d
                © 2016 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                Article

                automatic,treatment planning,head and neck,vmat,pinnacle
                automatic, treatment planning, head and neck, vmat, pinnacle

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