Monique H.P. Smitsmans

The influence of a dietary protocol on cone beam CT-guided radiotherapy for prostate cancer patients.

PURPOSE To evaluate the influence of a dietary protocol on cone beam computed tomography (CBCT) image quality, which is an indirect indicator for short-term (intrafraction) prostate motion, and on interfraction motion. Image quality is affected by motion (e.g., moving gas) during imaging and influences the performance of automatic prostate localization on CBCT scans. METHODS AND MATERIALS Twenty-six patients (336 CBCT scans) followed the dietary protocol and 23 patients (240 CBCT scans) did not. Prostates were automatically localized by using three dimensional (3D) gray-value registration (GR). Feces and (moving) gas occurrence in the CBCT scans, the success rate of 3D-GR, and the statistics of prostate motion data were assessed. RESULTS Feces, gas, and moving gas significantly decreased from 55%, 61%, and 43% of scans in the nondiet group to 31%, 47%, and 28% in the diet group (all p < 0.001). Since there is a known relation between gas and short-term prostate motion, intrafraction prostate motion probably also decreased. The success rate of 3D-GR improved from 83% to 94% (p < 0.001). A decrease in random interfraction prostate motion also was found, which was not significant after Bonferronis correction. Significant deviations from planning CT position for rotations around the left-right axis were found in both groups. CONCLUSIONS The dietary protocol significantly decreased the incidence of feces and (moving) gas. As a result, CBCT image quality and the success rate of 3D-GR significantly increased. A trend exists that random interfraction prostate motion decreases. Using a dietary protocol therefore is advisable, also without CBCT-based image guidance.

Leaf trajectory verification during dynamic intensity modulated radiotherapy using an amorphous silicon flat panel imager

An independent verification of the leaf trajectories during each treatment fraction improves the safety of IMRT delivery. In order to verify dynamic IMRT with an electronic portal imaging device (EPID), the EPID response should be accurate and fast such that the effect of motion blurring on the detected moving field edge position is limited. In the past, it was shown that the errors in the detected position of a moving field edge determined by a scanning liquid-filled ionization chamber (SLIC) EPID are negligible in clinical practice. Furthermore, a method for leaf trajectory verification during dynamic IMRT was successfully applied using such an EPID. EPIDs based on amorphous silicon (a-Si) arrays are now widely available. Such a-Si flat panel imagers (FPIs) produce portal images with superior image quality compared to other portal imaging systems, but they have not yet been used for leaf trajectory verification during dynamic IMRT. The aim of this study is to quantify the effect of motion distortion and motion blurring on the detection accuracy of a moving field edge for an Elekta iViewGT a-Si FPI and to investigate its applicability for the leaf trajectory verification during dynamic IMRT. We found that the detection error for a moving field edge to be smaller than 0.025 cm at a speed of 0.8 cm/s. Hence, the effect of motion blurring on the detection accuracy of a moving field edge is negligible in clinical practice. Furthermore, the a-Si FPI was successfully applied for the verification of dynamic IMRT. The verification method revealed a delay in the control system of the experimental DMLC that was also found using a SLIC EPID, resulting in leaf positional errors of 0.7 cm at a leaf speed of 0.8 cm/s.

A method for geometrical verification of dynamic intensity modulated radiotherapy using a scanning electronic portal imaging device.

In order to guarantee the safe delivery of dynamic intensity modulated radiotherapy (IMRT), verification of the leaf trajectories during the treatment is necessary. Our aim in this study is to develop a method for on-line verification of leaf trajectories using an electronic portal imaging device with scanning read-out, independent of the multileaf collimator. Examples of such scanning imagers are electronic portal imaging devices (EPIDs) based on liquid-filled ionization chambers and those based on amorphous silicon. Portal images were acquired continuously with a liquid-filled ionization chamber EPID during the delivery, together with the signal of treatment progress that is generated by the accelerator. For each portal image, the prescribed leaf and diaphragm positions were computed from the dynamic prescription and the progress information. Motion distortion effects of the leaves are corrected based on the treatment progress that is recorded for each image row. The aperture formed by the prescribed leaves and diaphragms is used as the reference field edge, while the actual field edge is found using a maximum-gradient edge detector. The errors in leaf and diaphragm position are found from the deviations between the reference field edge and the detected field edge. Earlier measurements of the dynamic EPID response show that the accuracy of the detected field edge is better than 1 mm. To ensure that the verification is independent of inaccuracies in the acquired progress signal, the signal was checked with diode measurements beforehand. The method was tested on three different dynamic prescriptions. Using the described method, we correctly reproduced the distorted field edges. Verifying a single portal image took 0.1 s on an 866 MHz personal computer. Two flaws in the control system of our experimental dynamic multileaf collimator were correctly revealed with our method. First, the errors in leaf position increase with leaf speed, indicating a delay of approximately 0.8 s in the control system. Second, the accuracy of the leaves and diaphragms depends on the direction of motion. In conclusion, the described verification method is suitable for detailed verification of leaf trajectories during dynamic IMRT.

Residual seminal vesicle displacement in marker-based image-guided radiotherapy for prostate cancer and the impact on margin design.

PURPOSE The objectives of this study were to quantify residual interfraction displacement of seminal vesicles (SV) and investigate the efficacy of rotation correction on SV displacement in marker-based prostate image-guided radiotherapy (IGRT). We also determined the effect of marker registration on the measured SV displacement and its impact on margin design. METHODS AND MATERIALS SV displacement was determined relative to marker registration by using 296 cone beam computed tomography scans of 13 prostate cancer patients with implanted markers. SV were individually registered in the transverse plane, based on gray-value information. The target registration error (TRE) for the SV due to marker registration inaccuracies was estimated. Correlations between prostate gland rotations and SV displacement and between individual SV displacements were determined. RESULTS The SV registration success rate was 99%. Displacement amounts of both SVs were comparable. Systematic and random residual SV displacements were 1.6 mm and 2.0 mm in the left-right direction, respectively, and 2.8 mm and 3.1 mm in the anteroposterior (AP) direction, respectively. Rotation correction did not reduce residual SV displacement. Prostate gland rotation around the left-right axis correlated with SV AP displacement (R(2) = 42%); a correlation existed between both SVs for AP displacement (R(2) = 62%); considerable correlation existed between random errors of SV displacement and TRE (R(2) = 34%). CONCLUSIONS Considerable residual SV displacement exists in marker-based IGRT. Rotation correction barely reduced SV displacement, rather, a larger SV displacement was shown relative to the prostate gland that was not captured by the marker position. Marker registration error partly explains SV displacement when correcting for rotations. Correcting for rotations, therefore, is not advisable when SV are part of the target volume. Margin design for SVs should take these uncertainties into account.

Accurate measurement of the dynamic response of a scanning electronic portal imaging device.

An important condition for the safe introduction of dynamic intensity modulated radiotherapy (IMRT) using a multileaf collimator (MLC) is the ability to verify the leaf trajectories. In order to verify IMRT using an electronic portal imaging device (EPID), the EPID response should be accurate and fast. Noninstantaneous dynamic response causes motion blurring. The aim of this study is to develop a measurement method to determine the magnitude of the geometrical error as a result of motion blurring for imagers with scanning readout. The response of a liquid-filled ionization chamber EPID, as an example of a scanning imager, on a moving beam is compared with the response of a diode placed at the surface of the EPID. The signals are compared under the assumption that all EPID rows measure the same dose rate when a straight moving field edge is imaged. The measurements are performed at several levels of attenuation to investigate the influence of dose rate on the response of the detector. The accuracy of the measurement method is better than 0.25 mm. We found that the liquid-filled ionization chamber EPID does not suffer from significant motion blurring under clinical circumstances. Using a maximum gradient edge detector to determine the field edge in an image obtained by a liquid-filled ionization chamber EPID, errors smaller than 1 mm are found at a dose rate of 105 MU/min and a field edge speed of 1.1 cm/s. The errors reduce at higher dose rates. The presented method is capable of quantifying the geometrical errors in determining the position of the edge of a moving field with subpixel accuracy. The errors in field edge position determined by a liquid-filled ionization chamber EPID are negligible in clinical practice. Consequently, these EPIDs are suitable for geometric IMRT verification, as far as dynamic response is concerned.

SU-FF-J-68: First Clinical Results of An Adaptive Off-Line Radiation Scheme Using Cone-Beam CT Scans for Treatment of Prostate Cancer

Purpose: We developed an adaptive scheme for prostate cancerradiotherapy based on kV cone‐beam‐CT (CBCT)images that are obtained on the machine during the first six treatment days. The aim of this scheme is to improve knowledge of the average prostate position and average rectum shape and safely reduce the PTV margin. Method and Materials: CBCT‐scans, acquired our on Elekta Synergy systems, were first matched on the planning CT scan using the pelvic bones. Automatic grey‐value matching was then used to match the prostates of the CBCT‐scans to the prostate of the planning CT scan. The mean of the obtained translations and rotations was used to move the prostate of the planning CT scan to its average position. Subsequently, the rectal wall was delineated in the CBCT‐scans, and coordinates of corresponding points of the 7 rectums were averaged to obtain the average rectal wall. Based on average prostate and rectum a new IMRTtreatment plan was made with a reduced PTV margin of 7 mm. Weekly CBCT‐scans were made to verify that the new PTV encompasses the prostate. Results: So far, 16 patients were successfully treated with our adaptive treatment scheme. For 85% of the CBCT‐scans a successful grey‐value match was obtained, the other scans were discarded. For 88 out of 89 verification scans the prostate was inside the PTV. The mean dose received by the rectum reduced on average by 7.6%, and the equivalent uniform dose (a=12) by 1.5%. Conclusion: This is the first routine clinical application of soft tissue image guidance for the prostate using kV CBCT. Contrary to adaptive schemes that use implanted markers, our method is non‐invasive and improves localization of both prostate and rectum. Conflict of Interest: Elekta, Inc financially supported part of this study.