UT Southwestern Medical Center
Dallas, Texas, 75390, United States
NCT Number: NCT04686500
A more recent competing technology for implementing the DIBH technique is real-time surface photogrammetry using the AlignRT system (Vision RT Ltd., London, UK). AlignRT system use non-ionization near infrared light to track patient surface motion. The system has one projector projecting near infrared optical pattern on patient surface. The optical pattern is imaged by optical cameras (two per pod) at ~25 Hz. The user selects a region-of-interest (ROI) on the surface and the software calculates and displays the real-time position in six degrees (3 translations and 3 rotations) in real-time. Once the patient has matched the pre-determined DIBH position (within threshold accuracy), the radiation beam is enabled to be turned on for treatment.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Dallas, Texas, 75390, United States
VRT-DIBH has already applied to left breast radiotherapy to spare lung and heart. Compared to ABC-DIBH, VRT-DIBH has several potential advantages:
In this study, we renovate the established DIBH motion management strategy by adopting AlignRT system. The purpose of this study is to develop, validate, and prove the feasibility of VRT-DIBH technique for lung and liver SBRT.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
3.1 A female of child-bearing potential is any woman (regardless of sexual orientation, marital status, having undergone a tubal ligation, or remaining celibate by choice) who meets the following criteria:
3.2 Patients must be compliant to all required pretreatment evaluations
Exclusion criteria
The SOC DIBH CT scan will be transferred to Eclipse treatment planning system for treatment planning. Tidal volume measured by spirometer and DIBH surface from CT image will be used as a reference surface for patient treatment initial setup. CBCT will be acquired before each fractional treatment for the patient alignment before beam delivery.
Time frame: 1 month
VRT-DIBH (VisionRT-based deep inspiration breath-hold) feasibility will be evaluated using descriptive statistics to explore the geometry accuracy and to characterize tumor motion/surface stability and repeatability during treatment. CT images of the treatment site, as well as kV projections and VRT surface images, will be taken and analyzed for this purpose. The trajectory data and kV projection data were analyzed in Matlab. In the kV images, the diaphragm was segmented and used for tracking of the BH position. This was done using several steps including: derivatives, polynomial curve fitting and high pass filtering. The correlation was then measured using a Pearson correlation. Correlation of each breath hold was taken and averaged.
Time frame: 1 month
To assess the necessary margin for a target, the amount of surface and diaphragm motion was analyzed. For each x-ray image the diaphragm motion and corresponding surface motion were recorded. These motions were then categorized based on their size and researchers counted how often these movements fell within the specified motion ranges.
University of Texas Southwestern Medical Center
Other
VisionRT-based Deep Inspiration Breath-hold (DIBH) Respiratory Motion Management Strategy, A Pilot Study for Thoracic and Abdominal Tumors Stereotactic Body Radiotherapy
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