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      Recent advanced in Surface Guided Radiation Therapy

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          Abstract

          The growing acceptance and recognition of Surface Guided Radiation Therapy (SGRT) as a promising imaging technique has supported its recent spread in a large number of radiation oncology facilities. Although this technology is not new, many aspects of it have only recently been exploited. This review focuses on the latest SGRT developments, both in the field of general clinical applications and special techniques.

          SGRT has a wide range of applications, including patient positioning with real-time feedback, patient monitoring throughout the treatment fraction, and motion management (as beam-gating in free-breathing or deep-inspiration breath-hold). Special radiotherapy modalities such as accelerated partial breast irradiation, particle radiotherapy, and pediatrics are the most recent SGRT developments.

          The fact that SGRT is nowadays used at various body sites has resulted in the need to adapt SGRT workflows to each body site. Current SGRT applications range from traditional breast irradiation, to thoracic, abdominal, or pelvic tumor sites, and include intracranial localizations.

          Following the latest SGRT applications and their specifications/requirements, a stricter quality assurance program needs to be ensured. Recent publications highlight the need to adapt quality assurance to the radiotherapy equipment type, SGRT technology, anatomic treatment sites, and clinical workflows, which results in a complex and extensive set of tests.

          Moreover, this review gives an outlook on the leading research trends. In particular, the potential to use deformable surfaces as motion surrogates, to use SGRT to detect anatomical variations along the treatment course, and to help in the establishment of personalized patient treatment (optimized margins and motion management strategies) are increasingly important research topics. SGRT is also emerging in the field of patient safety and integrates measures to reduce common radiotherapeutic risk events (e.g. facial and treatment accessories recognition).

          This review covers the latest clinical practices of SGRT and provides an outlook on potential applications of this imaging technique. It is intended to provide guidance for new users during the implementation, while triggering experienced users to further explore SGRT applications.

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          Most cited references121

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          Risk of Ischemic Heart Disease in Women after Radiotherapy for Breast Cancer

          New England Journal of Medicine, 368(11), 987-998
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            Deep Inspiration Breath Hold-Based Radiation Therapy: A Clinical Review.

            Several recent developments in linear accelerator-based radiation therapy (RT) such as fast multileaf collimators, accelerated intensity modulation paradigms like volumeric modulated arc therapy and flattening filter-free (FFF) high-dose-rate therapy have dramatically shortened the duration of treatment fractions. Deliverable photon dose distributions have approached physical complexity limits as a consequence of precise dose calculation algorithms and online 3-dimensional image guided patient positioning (image guided RT). Simultaneously, beam quality and treatment speed have continuously been improved in particle beam therapy, especially for scanned particle beams. Applying complex treatment plans with steep dose gradients requires strategies to mitigate and compensate for motion effects in general, particularly breathing motion. Intrafractional breathing-related motion results in uncertainties in dose delivery and thus in target coverage. As a consequence, generous margins have been used, which, in turn, increases exposure to organs at risk. Particle therapy, particularly with scanned beams, poses additional problems such as interplay effects and range uncertainties. Among advanced strategies to compensate breathing motion such as beam gating and tracking, deep inspiration breath hold (DIBH) gating is particularly advantageous in several respects, not only for hypofractionated, high single-dose stereotactic body RT of lung, liver, and upper abdominal lesions but also for normofractionated treatment of thoracic tumors such as lung cancer, mediastinal lymphomas, and breast cancer. This review provides an in-depth discussion of the rationale and technical implementation of DIBH gating for hypofractionated and normofractionated RT of intrathoracic and upper abdominal tumors in photon and proton RT.
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              Linac-based VMAT radiosurgery for multiple brain lesions: comparison between a conventional multi-isocenter approach and a new dedicated mono-isocenter technique

              Background Linac-based stereotactic radiosurgery or fractionated stereotactic radiotherapy (SRS/FSRT) of multiple brain lesions using volumetric modulated arc therapy (VMAT) is typically performed by a multiple-isocenter approach, i.e. one isocenter per lesion, which is time-demanding for the need of independent setup verifications of each isocenter. Here, we present our initial experience with a new dedicated mono-isocenter technique with multiple non-coplanar arcs (HyperArc™, Varian Inc.) in terms of a plan comparison with a multiple-isocenter VMAT approach. Methods From August 2017 to October 2017, 20 patients with multiple brain metastases (mean 5, range 2–10) have been treated by HyperArc in 1–3 fractions. The prescribed doses (Dp) were 18–25 Gy in single-fraction, and 21–27 Gy in three-fractions. Planning Target Volume (PTV), defined by a 2 mm isotropic margin from each lesion, had mean dimension of 9.6 cm3 (range 0.5–27.9 cm3). Mono-isocenter HyperArc VMAT plans (HA) with 5 non-coplanar 180°-arcs (couch at 0°, ±45°, ±90°) were generated and compared to multiple-isocenter VMAT plans (RA) with 2 coplanar 360°-arcs per isocenter. A dose normalization of 100%Dp at 98%PTV was adopted, while D2%(PTV) < 150%Dp was accepted. All plans had to respect the constraints on maximum dose to the brainstem (D0.5cm3 < 18 Gy) as well as to the optical nerves/chiasm, eyes and lenses (D0.5cm3 < 15 Gy). HA and RA plans were compared in terms of dose-volume metrics, by Paddick conformity (CI) and gradient (GI) index and by V12 and mean dose to the brain-minus-PTV, and in terms of MU and overall treatment time (OTT) per fraction. OTT was measured for HA treatments, whereas for RA plans OTT was estimated by assuming 3 min. For initial patient setup plus 5 min. For each CBCT-guided setup correction per isocenter. Results Significant variations in favour of HA plans were computed for both target dose indexes, CI (p < .01) and GI (p < .01). The lower GI in HA plans was the likely cause of the significant reduction in V12 to the brain-minus-PTV (p = .023). Although at low doses, below 2–5 Gy, the sparing of the brain-minus-PTV was in favour of RA plans, no significant difference in terms of mean doses to the brain-minus-PTV was observed between the two groups (p = .31). Finally, both MU (p < .01) and OTT (p < .01) were significantly reduced by HyperArc plans. Conclusions For linac-based SRS/FSRT of multiple brain lesions, HyperArc plans assured a higher CI and a lower GI than standard multiple-isocenter VMAT plans. This is consistent with the computed reduction in V12 to the brain-minus-PTV. Finally, HyperArc treatments were completed within a typical 20 min. time slot, with a significant time reduction with respect to the expected duration of multiple-isocenters VMAT.
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                Author and article information

                Contributors
                philipp.freislederer@med.uni-muenchen.de
                malin.kugele@skane.se
                michel.oellers@maastro.nl
                ans.swinnen@maastro.nl
                tim-oliver.sauer@uk-erlangen.de
                christoph.bert@uk-erlangen.de
                dgiantsoudi@mgh.harvard.edu
                stefanie.corradini@med.uni-muenchen.de
                vania.santosbatista@med.uni-heidelberg.de
                Journal
                Radiat Oncol
                Radiat Oncol
                Radiation Oncology (London, England)
                BioMed Central (London )
                1748-717X
                31 July 2020
                31 July 2020
                2020
                : 15
                : 187
                Affiliations
                [1 ]Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
                [2 ]GRID grid.411843.b, ISNI 0000 0004 0623 9987, Department of Hematology, Oncology and Radiation Physics, , Skåne University Hospital, ; Lund, Sweden
                [3 ]GRID grid.4514.4, ISNI 0000 0001 0930 2361, Medical Radiation Physics, Department of Clinical Sciences, , Lund University, ; Lund, Sweden
                [4 ]GRID grid.426577.5, ISNI 0000 0004 0466 0129, Maastricht Radiation Oncology (MAASTRO), ; Maastricht, the Netherlands
                [5 ]Department of Radiation Oncology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
                [6 ]GRID grid.32224.35, ISNI 0000 0004 0386 9924, Department of Radiation Oncology, , Massachusetts General Hospital and Harvard Medical School, ; Boston, USA
                [7 ]GRID grid.5253.1, ISNI 0000 0001 0328 4908, Department of Radiation Oncology, , Heidelberg University Hospital, ; Heidelberg, Germany
                [8 ]GRID grid.488831.e, Heidelberg Institute of Radiation Oncology (HIRO), ; Heidelberg, Germany
                [9 ]GRID grid.5253.1, ISNI 0000 0001 0328 4908, National Center for Tumor diseases (NCT), ; Heidelberg, Germany
                Author information
                http://orcid.org/0000-0002-1845-8074
                Article
                1629
                10.1186/s13014-020-01629-w
                7393906
                32736570
                3c7b756c-9854-42d0-afc6-90a30ace5d75
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 May 2020
                : 21 July 2020
                Categories
                Review
                Custom metadata
                © The Author(s) 2020

                Oncology & Radiotherapy
                surface guided radiation therapy,sgrt,patient positioning,motion management,deep-inspiration breath-hold,intra-fractional motion mitigation,patient safety

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