The role of complexity metrics in a multi-institutional dosimetry audit of XXXX .

@entity7319 @entity34
OBJECTIVE: To demonstrate the benefit of complexity metrics such as the @entity7319 ( @entity7319 ) and monitor units (MUs) in multi-institutional audits of @entity34 ( @entity34 ) delivery. METHODS: 39 @entity34 treatment plans were analysed using @entity7319 and MU. A virtual phantom planning exercise was planned and independently measured using the PTW Octavius(  ) phantom and seven29(  ) 2D array (PTW-Freiburg GmbH, Freiburg, Germany). @entity7319 and MU were compared with the median gamma index pass rates (2%/2 and 3%/3   mm) and plan quality. The treatment planning systems (TPS) were grouped by @entity34 modelling being specifically designed for the linear accelerator manufacturer's own treatment delivery system (Type 1) or independent of vendor for @entity34 delivery (Type 2). Differences in plan complexity ( @entity7319 and MU) between TPS types were compared. RESULTS: For Varian(  ) linear accelerators (Varian(  ) Medical Systems, Inc., Palo Alto, CA), @entity7319 and MU were significantly correlated with gamma pass rates. Type 2 TPS created poorer quality, more complex plans with significantly higher MUs and @entity7319 than Type 1 TPS. Plan quality was significantly correlated with MU for Type 2 plans. A statistically significant correlation was observed between MU and @entity7319 for all plans (R   =   -0.84, p   <   0.01). CONCLUSION: MU and @entity7319 have a role in assessing plan complexity in audits along with plan quality metrics. Plan complexity metrics give some indication of plan deliverability but should be analysed with plan quality. Advances in knowledge: Complexity metrics were investigated for a national rotational audit involving 34 institutions and they showed value. The metrics found that more complex plans were created for planning systems which were independent of vendor for @entity34 delivery.
