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      Clinical rationale for in vivo portal dosimetry in magnetic resonance guided online adaptive radiotherapy

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          Highlights

          • In vivo EPID dosimetry can be used in magnetic resonance guided online therapy to detect both patient related deviations and workflow incidents.

          • In vivo EPID dosimetry deviations were detected in 5 prostate (out of 245) and in 17 (out of 145) rectal plans.

          • Most alerts were explained by discrepancies between the patient model used for online plan adaptation and the actual anatomy of the patient during delivery.

          Abstract

          Background and purpose

          In magnetic resonance guided online adaptive radiotherapy, the patient model used for plan adaptation and dose calculation is created online under stringent time constraints. This study investigated the ability of in vivo portal dosimetry to detect deviations between the online patient model used for plan adaptation and the actual anatomy of the patient during delivery.

          Materials and methods

          Portal images acquired during treatment were used to reconstruct the delivered dose corresponding to online adapted plans of 42 prostate and 20 rectal cancer patients. The reconstructed dose distributions were compared with the dose distributions calculated online by the treatment planning system by γ-analysis and by the difference in median dose to the high-dose volume.

          Results

          Out of 245 prostate and 145 rectal cancer adapted plans, deviations were detected in 5 prostate and in 17 rectal adapted plans corresponding to 3 prostate and 6 rectal patients, respectively. For all but one of the alerts, deviations were explained due to discrepancies observed between the patient model used for plan adaptation and online magnetic resonance images. A single workflow incident in which the supporting arm of the anterior receive coil was accidentally moved in the treatment field was also detected.

          Conclusion

          There is need for independent end-to-end checks in magnetic resonance guided online adaptive workflows including the verification of the online patient model. In vivo portal dosimetry can be used for such purpose as it can detect both patient related deviations and workflow incidents.

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          Most cited references30

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          Adaptive radiotherapy: The Elekta Unity MR-linac concept

          Highlights • The Elekta Unity MR-linac adaptive radiotherapy concept is explained. • The adapt to shape and adapt to position workflows are compared. • Different methods for dose re-calculation and optimization are discussed. • Full online re-planning is the most robust adaptive planning method for the Unity. • Faster methods are available, but should be dosimetrically explored per use case.
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            First patients treated with a 1.5 T MRI-Linac: clinical proof of concept of a high-precision, high-field MRI guided radiotherapy treatment

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              Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept.

              At the UMC Utrecht, The Netherlands, we have constructed a prototype MRI accelerator. The prototype is a modified 6 MV Elekta (Crawley, UK) accelerator next to a modified 1.5 T Philips Achieva (Best, The Netherlands) MRI system. From the initial design onwards, modifications to both systems were aimed to yield simultaneous and unhampered operation of the MRI and the accelerator. Indeed, the simultaneous operation is shown by performing diagnostic quality 1.5 T MRI with the radiation beam on. No degradation of the performance of either system was found. The integrated 1.5 T MRI system and radiotherapy accelerator allow simultaneous irradiation and MR imaging. The full diagnostic imaging capacities of the MRI can be used; dedicated sequences for MRI-guided radiotherapy treatments will be developed. This proof of concept opens the door towards a clinical prototype to start testing MRI-guided radiation therapy (MRIgRT) in the clinic.
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                Author and article information

                Contributors
                Journal
                Phys Imaging Radiat Oncol
                Phys Imaging Radiat Oncol
                Physics and Imaging in Radiation Oncology
                Elsevier
                2405-6316
                11 June 2022
                July 2022
                11 June 2022
                : 23
                : 16-23
                Affiliations
                Department of Radiation Oncology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
                Author notes
                [* ]Corresponding author. b.vivas@ 123456nki.nl
                [1]

                Begoña Vivas-Maiques and Igor Olaciregui-Ruiz share first authorship.

                Article
                S2405-6316(22)00053-7
                10.1016/j.phro.2022.06.005
                9207286
                35734264
                15e93331-bcff-4875-9233-d4b60663a6f6
                © 2022 The Author(s)

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

                History
                : 22 December 2021
                : 7 June 2022
                : 8 June 2022
                Categories
                Original Research Article

                in vivo dosimetry,epid,mr-linac,unity,online adaptation,verification

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