SU-E-T-632: Stereotactic Radiosurgery for Multiple Brain Metastases Using Flattening Filter-Free Beam and Comparison Study with the Regular 6MV

2011 ◽  
Vol 38 (6Part20) ◽  
pp. 3635-3635
Author(s):  
J Wang ◽  
K Murphy ◽  
R Rice ◽  
T Pawlicki
2021 ◽  
pp. 20210473
Author(s):  
Esther Decabooter ◽  
Ans CC Swinnen ◽  
Michel C Öllers ◽  
Fabian Göpfert ◽  
Frank Verhaegen

Objectives: The aim of this work was to evaluate the operation of the 1600SRS detector and to develop a calibration procedure for verifying the dose delivered by a single isocenter stereotactic radiosurgery (SRS) treatment of small multiple brain metastases (BM). Methods: 14 clinical treatment cases were selected with the number of BM ranging from 2 to 11. The dosimetric agreement was investigated between the calculated and the measured dose by an OCTAVIUS 1600SRS array detector in an OCTAVIUS 4D phantom equipped with dedicated SRS top. The cross-calibration procedure deviated from the manufacturer’s as it applied field sizes and dose rates corresponding to the volumetric modulated arc therapy segments in each plan. Results: Measurements with a plan specific cross-calibration showed mean ± standard deviation (SD) agreement scores for cut-off values 50%, 80%, 95%, of 98.6 ± 1.7%, 96.5 ± 4.6%, 97.3 ± 4.4% for the 6 MV plans respectively, and 98.6 ± 1.5%, 96.6 ± 4.0% 96.4 ± 6.3%, for the 6 MV flattening filter free (FFF) plans respectively. Using the default calibration procedure instead of the plan specific calibration could lead to a combined systematic dose offset of 4.1% for our treatment plans. Conclusion: The 1600SRS detector array with the 4D phantom offers an accurate solution to perform routine quality assurance measurements of single isocenter SRS treatments of multiple BM. This work points out the necessity of an adapted cross-calibration procedure. Advances in knowledge: A dedicated calibration procedure enables accurate dosimetry with the 1600SRS detector for small field single isocenter SRS treatment of multiple brain metastases for a large amount of BM.


2020 ◽  
Vol 45 (4) ◽  
pp. 363-367 ◽  
Author(s):  
Samir Laoui ◽  
Dante E. Roa ◽  
Jeffrey Kuo ◽  
Maxim Baldytchev ◽  
Jonathan Gonzales ◽  
...  

Author(s):  
Glenn Whitten ◽  
Ursula Daly ◽  
Candice D. McCallum ◽  
Jackie Harney ◽  
David Conkey ◽  
...  

Abstract Introduction: Stereotactic radiosurgery (SRS) has proven itself as an effective tool in the treatment of intracranial lesions. Image-guided high dose single fraction treatments have the potential to deliver ablative doses to tumours; however, treatment times can be long. Flattening filter free (FFF) beams are available on most modern linacs and offer a higher dose rate compared to conventional flattened beams which should reduce treatment times. This study aimed to compare 6 MV FFF and 10 MV FFF to a 6 MV flattened beam for single fraction dynamic conformal arc SRS for a Varian Truebeam linac. Materials and methods: In total, 21 individual clinical treatment plans for 21 brain metastases treated with 6 MV were retrospectively replanned using both 6 MV FFF and 10 MV FFF. Plan quality and efficiency metrics were evaluated by analysing dose coverage, dose conformity, dose gradients, dose to normal brain, beam-on-time (BOT), treatment time and monitor units. Results: FFF resulted in a significant reduction in median BOT for both 6 MV FFF (57·9%; p < 0·001) and 10 MV FFF (76·3%; p < 0·001) which led to reductions in treatment times of 16·8 and 21·5% respectively. However, 6 MV FFF showed superior normal brain dose sparing (p < 0·001) and dose gradient (p < 0·001) compared to 10 MV FFF. No differences were observed for conformity. Conclusion: 6 MV FFF offers a significant reduction in average treatment time compared to 6 MV (3·7 minutes; p = 0·002) while maintaining plan quality.


Author(s):  
Allison N Palmiero ◽  
Denise Fabian ◽  
William St Clair ◽  
Marcus Randall ◽  
Damodar Pokhrel

2018 ◽  
Vol 20 (suppl_5) ◽  
pp. v354-v354
Author(s):  
Paul Sanghera ◽  
Richard Fox ◽  
Helen Benghiat ◽  
Sara Meade ◽  
Andrew Hartley ◽  
...  

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