000286386 001__ 286386 000286386 005__ 20240229155126.0 000286386 0247_ $$2doi$$a10.1002/acm2.14249 000286386 0247_ $$2pmid$$apmid:38128056 000286386 037__ $$aDKFZ-2023-02789 000286386 041__ $$aEnglish 000286386 082__ $$a530 000286386 1001_ $$aQubala, Abdallah$$b0 000286386 245__ $$aCharacteristics of breathing-adapted gating using surface guidance for use in particle therapy: A phantom-based end-to-end test from CT simulation to dose delivery. 000286386 260__ $$aReston, Va.$$bACMP$$c2024 000286386 3367_ $$2DRIVER$$aarticle 000286386 3367_ $$2DataCite$$aOutput Types/Journal article 000286386 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1705659989_22127 000286386 3367_ $$2BibTeX$$aARTICLE 000286386 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000286386 3367_ $$00$$2EndNote$$aJournal Article 000286386 500__ $$a#LA:E040# / 2024 Jan;25(1):e14249 000286386 520__ $$aTo account for intra-fractional tumor motion during dose delivery in radiotherapy, various treatment strategies are clinically implemented such as breathing-adapted gating and irradiating the tumor during specific breathing phases. In this work, we present a comprehensive phantom-based end-to-end test of breathing-adapted gating utilizing surface guidance for use in particle therapy. A commercial dynamic thorax phantom was used to reproduce regular and irregular breathing patterns recorded by the GateRT respiratory monitoring system. The amplitudes and periods of recorded breathing patterns were analysed and compared to planned patterns (ground-truth). In addition, the mean absolute deviations (MAD) and Pearson correlation coefficients (PCC) between the measurements and ground-truth were assessed. Measurements of gated and non-gated irradiations were also analysed with respect to dosimetry and geometry, and compared to treatment planning system (TPS). Further, the latency time of beam on/off was evaluated. Compared to the ground-truth, measurements performed with GateRT showed amplitude differences between 0.03 ± 0.02 mm and 0.26 ± 0.03 mm for regular and irregular breathing patterns, whilst periods of both breathing patterns ranged with a standard deviation between 10 and 190 ms. Furthermore, the GateRT software precisely acquired breathing patterns with a maximum MAD of 0.30 ± 0.23 mm. The PCC constantly ranged between 0.998 and 1.000. Comparisons between TPS and measured dose profiles indicated absolute mean dose deviations within institutional tolerances of ±5%. Geometrical beam characteristics also varied within our institutional tolerances of 1.5 mm. The overall time delays were <60 ms and thus within both recommended tolerances published by ESTRO and AAPM of 200 and 100 ms, respectively. In this study, a non-invasive optical surface-guided workflow including image acquisition, treatment planning, patient positioning and gated irradiation at an ion-beam gantry was investigated, and shown to be clinically viable. Based on phantom measurements, our results show a clinically-appropriate spatial, temporal, and dosimetric accuracy when using surface guidance in the clinical setting, and the results comply with international and institutional guidelines and tolerances. 000286386 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0 000286386 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de 000286386 650_7 $$2Other$$abreathing-adapted gating 000286386 650_7 $$2Other$$acommissioning 000286386 650_7 $$2Other$$aend-to-end testing 000286386 650_7 $$2Other$$aion beam therapy 000286386 650_7 $$2Other$$aparticle therapy 000286386 650_7 $$2Other$$asurface-guided radiotherapy 000286386 7001_ $$aShafee, Jehad$$b1 000286386 7001_ $$aTessonnier, Thomas$$b2 000286386 7001_ $$aHorn, Julian$$b3 000286386 7001_ $$aWinter, Marcus$$b4 000286386 7001_ $$aNaumann, Jakob$$b5 000286386 7001_ $$0P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aJäkel, Oliver$$b6$$eLast author$$udkfz 000286386 773__ $$0PERI:(DE-600)2010347-5$$a10.1002/acm2.14249$$gp. e14249$$n1$$pe14249$$tJournal of applied clinical medical physics$$v25$$x1526-9914$$y2024 000286386 909CO $$ooai:inrepo02.dkfz.de:286386$$pVDB 000286386 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aDeutsches Krebsforschungszentrum$$b6$$kDKFZ 000286386 9131_ $$0G:(DE-HGF)POF4-315$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vBildgebung und Radioonkologie$$x0 000286386 9141_ $$y2023 000286386 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ APPL CLIN MED PHYS : 2022$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2023-01-03T20:18:43Z 000286386 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2023-01-03T20:18:43Z 000286386 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Double anonymous peer review$$d2023-01-03T20:18:43Z 000286386 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2023-01-03T20:18:43Z 000286386 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-10-22 000286386 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-10-22 000286386 9202_ $$0I:(DE-He78)E040-20160331$$kE040$$lE040 Med. 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