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10.1120/jacmp.v11i1.3142 http://scihub22266oqcxt.onion/10.1120/jacmp.v11i1.3142 C5719782/?report=reader!5719782!20160699     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Appl+Clin+Med+Phys 2010 ; 11 (1): 170-5 Nephropedia Template TP {{tp|p=20160699|t=2010. Clinical implications of adopting Monte Carlo treatment planning for CyberKnife |pdf=|usr=}}{{20160699}} gab.com Text Clinical implications of adopting Monte Carlo treatment planning for CyberKnife JO: J Appl Clin Med Phys http://www.kidney.de/pget.php?&tw=1&pmid=20160699 #FOAvip It is documented that well?modeled Monte Carlo dose calculation algorithms are more accurate than traditional correction?based algorithms or convolution algorithms at predicting dose distributions delivered to heterogeneous volumes. This increased accuracy has clinical implications for CyberKnife, particularly when comparing dose distributions between the ray?tracing and Monte Carlo algorithms. Differences between ray?tracing and Monte Carlo calculations are exacerbated for highly heterogeneous volumes and small field sizes. In this study, the anthropomorphic thorax phantom from the Radiological Physics Center was used to validate the accuracy of the CyberKnife Monte Carlo dose calculation algorithm. Retrospective comparisons of dose distributions calculated by ray?tracing and Monte Carlo were made for a selection of CyberKnife treatment plans; comparisons were based on target coverage and conformality. For highly heterogeneous cases, such as those involving the lungs, the ray?tracing algorithm consistently overestimated the target dose and coverage. In our sample of lung treatment plans, the average target coverage for ray?tracing calculations was 97.7%, while for Monte Carlo, the average coverage dropped to 69.2%. In each plan comparison, the same beam orientations and monitor units were used for both calculations. Significant changes in conformality were also observed. Isodose prescription lines and subsequent target coverage selected for treatment plans calculated with the ray?tracing algorithm may be different from comparable treatment plans calculated with Monte Carlo, and as such, may have clinical implications for dose prescriptions.PACS number: 87.53.Wz Twit Text FOAVip Clinical implications of adopting Monte Carlo treatment planning for CyberKnife ????J Appl Clin Med Phys http://www.kidney.de/pget.php?&tw=1&pmid=20160699 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=20160699 #FOAvip English Wikipedia <ref>{{Cite pmid|20160699}}</ref> Clinical implications of adopting Monte Carlo treatment planning for CyberKnife #MMPMID20160699 Sharma SC; Ott JT; Williams JB; Dickow D J Appl Clin Med Phys 2010[Win]; 11 (1): 170-5 PMID20160699show ga It is documented that well?modeled Monte Carlo dose calculation algorithms are more accurate than traditional correction?based algorithms or convolution algorithms at predicting dose distributions delivered to heterogeneous volumes. This increased accuracy has clinical implications for CyberKnife, particularly when comparing dose distributions between the ray?tracing and Monte Carlo algorithms. Differences between ray?tracing and Monte Carlo calculations are exacerbated for highly heterogeneous volumes and small field sizes. In this study, the anthropomorphic thorax phantom from the Radiological Physics Center was used to validate the accuracy of the CyberKnife Monte Carlo dose calculation algorithm. Retrospective comparisons of dose distributions calculated by ray?tracing and Monte Carlo were made for a selection of CyberKnife treatment plans; comparisons were based on target coverage and conformality. For highly heterogeneous cases, such as those involving the lungs, the ray?tracing algorithm consistently overestimated the target dose and coverage. In our sample of lung treatment plans, the average target coverage for ray?tracing calculations was 97.7%, while for Monte Carlo, the average coverage dropped to 69.2%. In each plan comparison, the same beam orientations and monitor units were used for both calculations. Significant changes in conformality were also observed. Isodose prescription lines and subsequent target coverage selected for treatment plans calculated with the ray?tracing algorithm may be different from comparable treatment plans calculated with Monte Carlo, and as such, may have clinical implications for dose prescriptions.PACS number: 87.53.Wz äClinical implications of adopting Monte Carlo treatment planning for C(epmc).pdf DeepDyve Pubget Overpricing