Impact of CBCT-based patient positioning uncertainty due to the ROI/DOF selection for proton therapy
PD-0402
Abstract
Impact of CBCT-based patient positioning uncertainty due to the ROI/DOF selection for proton therapy
Authors: Mengya Guo1,2,3, Estelle Batin1, Alessandra Bolsi1, Sairos Safai1, Damien Weber1,4,5, Antony Lomax1,6, Zhiling Chen2, Ye Zhang1
1Paul Scherrer Institute, Center for Proton Therapy, Villigen-PSI, Switzerland; 2Chinese Academy of Sciences, Shanghai Institute of Applied Physics, Shanghai, China; 3University of Chinese Academy of Sciences, Nuclear Technology and Application, Beijing, China; 4University Hospital Zurich, Department of Radiation Oncology, Zurich, Switzerland; 5University Hospital Bern, Department of Radiation Oncology, Bern, Switzerland; 6ETH Zurich, Department of Physics, Zurich, Switzerland
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Purpose or Objective
When rigidly registering daily Cone Beam CT (CBCT) to
the planning CT (pCT), the derived positioning offsets will be dependent on the Region of Interest (ROI) and/or Degree of Freedom (DOF)
selected. We aim to investigate the
geometric and dosimetric impact of ROI/DOF selection for proton treatments of
skull-based and Head-and-Neck (H&N) tumours.
Material and Methods
For 7 different ROIs
(Fig.1(a)) and for both 3D and 6D DOF corrections (3DOF: only translation;
6DOF: translation and rotation), pCT was rigidly registered (in Eclipse) to the CBCTs from fx1 and fx30 for 4 skull-base and 4 H&N cancer patients
respectively. To quantify positioning
accuracy, Mutual information (MI) and Normalized Cross Correlation (NCC)
between pCT and each transformed CBCT (trCBCT) were calculated. Three bony
landmarks were defined by a radio-oncologist, and their Euclidean distances
between pCT and trCBCT were computed. To estimate dosimetric consequences of
residual positioning errors, the initial plan parameters, including isocenter,
field direction and structures were transformed to the CBCT coordinate, based
on the inversed transformation of the averaged
registration results from all scenarios. The pCT was transformed to the CBCT
coordinate as well, but based on individual inversed rigid registration of each ROI/DOF scenarios. Using MatRad,
daily dose distributions were then re-calculated on each inversed transformed
pCT by considering each derived positioning offset. Finally, dose variations
due to the ROI/DOF induced rigid registration differences were quantified as
DVH uncertainty bands and voxel-wise max-min dose difference distributions
(Fig.1(d-g)).
Results
Positioning
errors from 6DOF are generally smaller than 3DOF corrections for all patients, whereas
variations between MI and NCC are less than 0.5% for all 16 cases (8 patients x
2 CBCTs) (Fig.1(b)). The image similarities between pCT and CBCT2(fx30) are slightly lower
than pCT and CBCT1(fx1) due to the larger anatomy changes during therapy. The mean residual landmark distances (Fig.1(c)) are 1.1±0.4/1.5±0.6 mm for 6/3 DOF scenarios
respectively, with variations being more pronounced for 3DOFs among both
patients and ROI scenarios. Moreover, among all patients (Fig.2(a)(b)), the
dosimetric differences on PTV-D95 are less than 2%, except for one case (3DOF
of patient 4 CBCT2). However, noticeable uncertainties in DVHs were observed
for small OAR’s (e.g. mean/max dose of 1.4/5% for brainstem). Highest dose variations were more
often observed in the high dose gradient region (Fig.2(e)).
Conclusion
We have developed a
framework to evaluate the impact of ROI/DOF definitions on CBCT based patient
positioning from image, geometric and dosimetric aspects. The results indicated
that ROI selection only marginally influences the dosimetric result for proton
treatment of skull-based and H&N tumours. However, enabling the 6DOF daily
positioning offset calculation is important to reduce residual position
uncertainties.