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S901
ESTRO 36
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Conclusion
This work shows that the dosimetric effect of weight loss
does not cause any clinically significant changes in the
presence of a magnetic field, as the difference between
pCT and rCT for 0T and 1.5T are similar. Therefore,
current off-line strategies for adaptive planning for head
and neck patients are valid for use on the MR-Linac.
EP-1659 Quantitative triggering of plan adaptation:
monitoring plan quality by recalculation on CBCT scans
R. Canters
1
, M. Wendling
1
, M. Kusters
1
, R. Monshouwer
1
1
Radboud University Medical Center, Radiation oncology,
Nijmegen, The Netherlands
Purpose or Objective
Since the introduction of 3D imaging on the linac,
anatomical changes observed on CBCT scans regularly lead
to plan adaptation. However, adaptation is often triggered
by qualitatively assessing anatomical changes between
CBCT and planning CT. This regularly leads to unnecessary
replanning, disrupting the regular workflow in the clinic.
In this study, we created an automated evaluation tool,
that recalculates the treatment plan on recorded CBCT
scans to indicate if a replanning may be necessary. The
aim of this work is to assess its potential for regular
clinical use.
Material and Methods
The recalculation tool imports planning CT a nd CBCT
scan, after which the treatment plan is transferred to the
CBCT scan. Subsequently, the plan is recalculated on the
CBCT using Pinnacle, and DVH’s are compared (Figure 1).
The CT-CBCT match is derived from the CBCT match at the
linac. Since Hounsfield units (HU) of the CBCT are not
calibrated, a CT to CBCT HU conversion table was created
to obtain a reliable CBCT based dose calculation. To
validate this approach, we evaluated 11 CT-CBCT
registrations of the head with no visible deformations, and
compared plan calculations on both scans. To assess the
potential to monitor planned dose on the CBCT, 22
patients receiving postoperative head and neck irradiation
with 2 or 3 dose levels were evaluated retrospectively for
a total of 265 CBCT scans. 5 Patients received a new CT
and a replanning during the treatment course. All dose
distributions were evaluated on V95% of the PTV, mean
dose on parotid glands, mandible, oral cavity, larynx,
maximum dose on myelum, and low dose volume (<5Gy).
Results
Validation on 11 patients of the dose calculation showed
an average deviation between planning CT and CBCT scans
of less than 1% on all evaluated dose metrics (Figure 2a).
Evaluation of 22 patients shows deviations of <5% in PTV
coverage in 20 patients over the course of the treatment
(Figure 2b). Two patients showed a higher deviation.
Patient 14 showed anatomical variation that was not
detected during treatment. Patient 18 had a relevant
reduction in PTV coverage during treatment course due to
weight loss and received a new plan. Four other patients
received a replanning because of other considerations,
e.g. a deteriorating condition or treatment side effects.
In the evaluated OAR’s, variations in evaluated metrics of
<5% were observed.
Conclusion
The automated evaluation tool in this study provides a
reliable prediction of delivered dose for the daily patient
anatomy. Evaluation of a series of fractions shows that it
is can detect dose deviations and trigger plan adaptation,
with an action level of approximately 5% deviation in
V95%. Inclusion of deformable image registration is
expected to further increase the reliability of the DVH
predictions.