MLC complexity metrics in clinical online adapted IMRT plans delivered with a double-stacked MLC
Niels Christian Momsen,
Denmark
OC-0938
Abstract
MLC complexity metrics in clinical online adapted IMRT plans delivered with a double-stacked MLC
Authors: Patrik Sibolt1, Niels C.R. Momsen1, Lina M Åström1,2, Ulf Bjelkengren1, David Sjöström1, Claus P Behrens1
1Copenhagen University Hospital - Herlev and Gentofte, Dept of Oncology, Copenhagen, Denmark; 2Technical University of Denmark, Dept of Health Technology, Roskilde, Denmark
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Purpose or Objective
Complexity
of intensity-modulated radiotherapy (IMRT) plans depends on e.g. the applied
optimization procedure, and a high degree of multi-leaf collimator (MLC) modulation
is known to challenge the accuracy in both dose calculation and treatment
delivery. In automated treatment planning for online adaptive radiotherapy
(oART) plan quality evaluation relies on calculation-based approaches, and the
use of MLC complexity metrics could act as a valuable supplement to independent
dose calculations. This study aimed at evaluating two different MLC complexity
metrics in comparison with the more commonly used MU/Gy for clinically
generated oART plans on a linear accelerator with a double-stacked MLC.
Material and Methods
A total of 57
clinical IMRT plans for seven patients treated for urinary bladder cancer were exported
from Ethos (Varian Medical Systems); a CBCT-based and artificial
intelligence-driven oART platform with a double-stacked MLC. The MLC complexity
metrics, edge penalty [1] and one minus the modulation complexity score (1-MCS)
[2], were calculated from the control points in the DICOM files, and information
on the MU/Gy was collected for each plan. Phantom-based measurements were
carried out using the Delta4+ phantom (Scandidos) on the corresponding plans
and the resulting gamma passing rates (3%/2mm, local, 20% cut-off) were
compared to the complexity scores. The correlations between the gamma passing
rates and the various metrics were evaluated.
Results
The Pearson’s
linear correlation coefficients between the gamma passing rates and the edge
penalty, 1-MCS, and MU/Gy were r=-0.83, r=-0.80, and r=-0.74, respectively. All
metrics demonstrated a negative correlation with the gamma passing rate, with
slightly stronger correlations for the MLC complexity metrics than with MU/Gy. Furthermore,
the presence of an outlier in the data for MU/Gy (Figure 1C, patient 6) indicates
a potential risk of false negatives when evaluating plan quality using only
this metric. Such outliers were not observed with the MLC complexity metrics (Figure
1A and 1B), indicating a potential clinical value of defining cut-off thresholds
for plan quality using these metrics.
Conclusion
The gamma
passing rates from the phantom-based measurements has superior correlation with
the MLC complexity metrics edge penalty and 1-MCS compared to the more commonly used method of
evaluating the MU/Gy, as a measure for plan quality. The 1-MCS and edge penalty
complexity metrics could therefore potentially serve as a valuable supplement
to calculation-based QA of online adaptive IMRT plans, where a phantom-based
measurement is not an option.
[1] Younge KC et al.
Penalization of aperture complexity in inversely planned volumetric modulated
arc therapy. Med Phys. 2012;39(11):7160-70.
[2] McNiven AL et al. A
new metric for assessing IMRT modulation complexity and plan deliverability. Med
Phys. 2010;37(2):505-15.