- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04686500
VisionRT-based Deep Inspiration Breath-hold (DIBH) Respiratory Motion Management Strategy, A Pilot Study for Thoracic and Abdominal Tumors
VisionRT-based Deep Inspiration Breath-hold (DIBH) Respiratory Motion Management Strategy, A Pilot Study for Thoracic and Abdominal Tumors Stereotactic Body Radiotherapy
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
VRT-DIBH has already applied to left breast radiotherapy to spare lung and heart. Compared to ABC-DIBH, VRT-DIBH has several potential advantages:
- VRT monitors patient (surface) position in addition to DIBH signal, while ABC only check the tidal volume, which can remain the same even if the patient shifts slightly on the couch;
- VRT is more cost effective, as patient tubing needs to be replaced daily for ABC;
- VRT potentially has advantage on patient compliance, as with ABC breath is forced impeded while with VRT breath-hold is voluntary.
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Texas
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Dallas, Texas, United States, 75390
- UT Southwestern Medical Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Patients must be willing and capable to provide informed consent to participate in the protocol.
- Patient with presumed pulmonary function capable of holding breath for at least 30 seconds - later to be confirmed.
- All men, as well as women of child-bearing potential must agree to use adequate contraception (hormonal or barrier method of birth control; abstinence) prior to study entry, and until study imaging is complete. Should a woman become pregnant or suspect she is pregnant while participating in this study, she should inform her treating physician immediately.
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:
- Has not undergone a hysterectomy or bilateral oophorectomy; or
- Has not been naturally postmenopausal for at least 12 consecutive months (i.e., has had menses at any time in the preceding 12 consecutive months).
3.2 Patients must be compliant to all required pretreatment evaluations
Exclusion Criteria:
- Pregnant or lactating women, as treatment involves unforeseeable risks to the embryo or fetus
- Patients are not compliant to all required pretreatment evaluations
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Deep Inspiration Breath-hold (DIBH) Respiratory Motion
DIBH qualified patient will experience one high-resolution CT scan as SOC and additional 3 low resolution/lower dose CT scans to further investigate inter-DIBH patient surface and tumor position stability and repeatability
|
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation Between Kilovoltages X-ray Images of the Diaphragm and the Surface Guided Motion Analyzed With Matlab
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.
|
1 month
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Target Margin Contingency Table Based on Surface and Diaphragm Motion
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.
|
1 month
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: David Parsons, PHD, UT Southwestern Medical Center
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 022017-075
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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