AFI manual planning versus HyperArc auto‐planning: A head‐to‐head comparison of SRS plan quality

Introduction HyperArc (HA) auto‐planning offers simplicity for the end user and consistently high‐quality SRS plans. The “Ask For It” (AFI) optimization strategy offers a manual planning technique that, when coupled with R50%Analytic, can be guided to deliver a plan with an intermediate dose spill “...

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Veröffentlicht in:Journal of applied clinical medical physics 2024-11, Vol.25 (11), p.e14503-n/a
Hauptverfasser: Desai, Dharmin D., Cordrey, Ivan L., Johnson, E. Lee, Oldland, Thomas A.
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Sprache:eng
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Zusammenfassung:Introduction HyperArc (HA) auto‐planning offers simplicity for the end user and consistently high‐quality SRS plans. The “Ask For It” (AFI) optimization strategy offers a manual planning technique that, when coupled with R50%Analytic, can be guided to deliver a plan with an intermediate dose spill “as low as reasonably achievable” and high target dose conformity. A direct comparison of SRS plan quality obtained using the manual planning AFI strategy and HA has been performed. Methods Using a CT data set available from the Radiosurgery Society, 54 PTVs were created and used to generate 19 individual SRS/SRT cases. Case complexity ranged from single PTV plans to multiple PTV plans with a single isocenter. PTV locations ranged from relative isolation from critical structures to lesions within 1.5 mm of the optic apparatus and abutting the brainstem. All cases were planned using both the AFI and HA optimization strategies as implemented in the Varian Medical Systems Eclipse Treatment Planning System. A range of treatment plan quality metrics were obtained including Intermediate Dose Spill (R50%), Conformity Indices CIRTOG and CIPaddick, PTV Dose Coverage (Dn%), PTV Mean Dose, and Modulation Factor. The Wilcoxon Signed Rank Sum non‐parametric statistical method was utilized to compare the obtained plan quality metrics. Results Statistically significant improvements were found for the AFI strategy for metrics R50%, CIRTOG, CIPaddick, and PTV Mean Dose (p 
ISSN:1526-9914
1526-9914
DOI:10.1002/acm2.14503