Abdominal Cancer, Thoracic Cancer
Conditions
Brief summary
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.
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: 1. 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; 2. VRT is more cost effective, as patient tubing needs to be replaced daily for ABC; 3. 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.
Interventions
DEVICETidal volume measured by spirometer and DIBH surface from CT image
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.
Sponsors
Vision RT Limited
University of Texas Southwestern Medical Center
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DEVICE_FEASIBILITY
Masking
NONE
Intervention model description
Prospective study with retrospective data analysis
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Patients must be willing and capable to provide informed consent to participate in the protocol. 2. Patient with presumed pulmonary function capable of holding breath for at least 30 seconds - later to be confirmed. 3. 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
1. Pregnant or lactating women, as treatment involves unforeseeable risks to the embryo or fetus 2. Patients are not compliant to all required pretreatment evaluations
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation Between Kilovoltages X-ray Images of the Diaphragm and the Surface Guided Motion Analyzed With Matlab | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Target Margin Contingency Table Based on Surface and Diaphragm Motion | 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. |
Countries
United States
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| 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
Tidal volume measured by spirometer and DIBH surface from CT image: 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. | 10 |
| Total | 10 |
Baseline characteristics
| Characteristic | Deep Inspiration Breath-hold (DIBH) Respiratory Motion |
|---|---|
| Age, Categorical <=18 years | 0 Participants |
| Age, Categorical >=65 years | 3 Participants |
| Age, Categorical Between 18 and 65 years | 7 Participants |
| Ethnicity (NIH/OMB) Hispanic or Latino | 3 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 7 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants |
| Race (NIH/OMB) Asian | 1 Participants |
| Race (NIH/OMB) Black or African American | 3 Participants |
| Race (NIH/OMB) More than one race | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants |
| Race (NIH/OMB) White | 6 Participants |
| Sex: Female, Male Female | 2 Participants |
| Sex: Female, Male Male | 8 Participants |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 0 |
| other Total, other adverse events | 0 / 0 |
| serious Total, serious adverse events | 0 / 0 |
Outcome results
Primary
Correlation Between Kilovoltages X-ray Images of the Diaphragm and the Surface Guided Motion Analyzed With Matlab
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
| Arm | Measure | Group | Value (MEAN) |
|---|---|---|---|
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Correlation Between Kilovoltages X-ray Images of the Diaphragm and the Surface Guided Motion Analyzed With Matlab | Vertical | 0.01 correlation coefficient |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Correlation Between Kilovoltages X-ray Images of the Diaphragm and the Surface Guided Motion Analyzed With Matlab | Longitudinal | 0.07 correlation coefficient |
Secondary
Target Margin Contingency Table Based on Surface and Diaphragm Motion
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.
Time frame: 1 month
Population: Outcomes for secondary objectives have been combined in this contingency table between motion range of kV and motion of superior-inferior and anterior-posterior surfaces.
| Arm | Measure | Group | Value (NUMBER) |
|---|---|---|---|
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 3844 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 493 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 97 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 216 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 506 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 181 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 19344 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 1082 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 38 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 22143 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 19 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 304 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 192 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 16172 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 22143 sample points (number of movements) |
| Deep Inspiration Breath-hold (DIBH) Respiratory Motion | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 1798 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 2846 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 54 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 106 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 3365 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 12 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 741 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 3365 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 257 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 105 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 288 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 44 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 21 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 52 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 2161 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 5 sample points (number of movements) |
| Bin [1 2)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 38 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 11 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 248 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 829 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 428 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 829 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 711 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 13 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 3 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 102 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 59 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 3 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 24 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 28 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 7 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 18 sample points (number of movements) |
| Bin [2 3)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 3 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 50 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 26 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 92 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 183 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 9 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 2 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 5 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 3 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 1 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 183 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 157 sample points (number of movements) |
| Bin [3 4)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 21 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 48 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 1 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 4 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 12 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 1 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 4 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 53 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 26 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 53 sample points (number of movements) |
| Bin [4 5)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 10 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 9 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 34 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 14 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 7 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 2 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 2 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 34 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 28 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 3 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 3 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Bin [5 10)mm kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 0 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Anterior-Posterior Motion) | 626 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Anterior-Posterior Motion) | 2173 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [2 3)mm (Superior-Inferior Motion) | 1486 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Anterior-Posterior Motion) | 274 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Anterior-Posterior Motion) | 23134 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Superior-Inferior Motion) | 26607 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [15 20)mm (Superior-Inferior Motion) | 1 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Superior-Inferior Motion) | 27 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [5 10)mm (Superior-Inferior Motion) | 372 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Total (Anterior-Posterior Motion) | 26607 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [10 15)mm (Anterior-Posterior Motion) | 53 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Superior-Inferior Motion) | 276 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [1 2)mm (Superior-Inferior Motion) | 4902 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [0 1)mm (Superior-Inferior Motion) | 18893 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Superior-Inferior Motion) | 650 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [4 5)mm (Anterior-Posterior Motion) | 121 sample points (number of movements) |
| Total kV | Target Margin Contingency Table Based on Surface and Diaphragm Motion | Bin [3 4)mm (Anterior-Posterior Motion) | 226 sample points (number of movements) |