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Evaluation of a Cone-beam CT Scanner for Image Guided Radiotherapy

Evaluation of a Cone-beam CT Scanner for Image Guided Radiotherapy (CONFIGURE)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05524454
Acronym
CONFIGURE
Enrollment
41
Registered
2022-09-01
Start date
2023-03-20
Completion date
2023-08-18
Last updated
2026-01-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Abdominal Cancer, Breast Cancer, Head and Neck Cancer, Lung Cancer, Pelvic Cancer

Brief summary

This is a feasibility study investigating the image quality of a new, high-performance cone beam CT (CBCT) used for on-couch imaging during radiotherapy treatments.

Detailed description

This study will examine the image quality generated by a new cone-beam CT (CBCT) imaging system integrated into an external beam radiation treatment delivery platform. Normally, CBCT images are acquired at the start of a daily radiation delivery treatment to align the patient with the images that were used to generate their radiation treatment plan. This alignment increases the precision of radiation delivery. This study will assess whether the improvements in image quality expected from the novel CBCT imaging system are sufficient for the images to be used for more than just patient alignment. The study will enroll patients who will be treated with external beam radiation therapy for the following conditions: head and neck cancers, stage I lung cancer, stage II to IV lung cancer, cancer in the left breast, tumors in the abdomen, and tumors in the pelvic region. Each patient will undergo one additional imaging session with the novel CBCT imaging system during which 1 or 2 CBCT images will be acquired. The number of novel CBCT images acquired depends on the location and type of the patient's tumor. The additional imaging session will occur on the same day as one of the patient's scheduled treatment delivery sessions to minimize impact on the patient's schedule. The patient's cancer treatment will not be affected by participation in this study. The methodology for the subject's treatment setup, CT simulation, treatment planning, image guidance and treatment delivery will be determined by the subject's treatment team. The images acquired by the novel CBCT imaging system will be compared to standard CBCT images acquired as part of the patient's treatment and to the CT simulation images used to define the patient's radiation treatment plan.

Interventions

DEVICENovel CBCT Imaging

One or two CBCT images are acquired on the novel CBCT imaging system.

Sponsors

Varian, a Siemens Healthineers Company
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Intervention model description

This is a single-site study designed to generate data describing the quality and applicability of a novel on-couch CBCT imaging system for anatomy visualization and radiation treatment dosimetry planning.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* The patient will be treated with external beam photon radiotherapy at Maastro for head-and-neck cancer, stage I lung cancer, stage II-IV lung cancer, left breast cancer, or tumours in the abdominal or pelvic region. * Age ≥ 18 years * Ability to understand the requirements of the study and to give written informed consent, as determined by the treating physician * Provision of written informed consent

Exclusion criteria

* Patient is pregnant

Design outcomes

Primary

MeasureTime frameDescription
Image QualityWithin 1 month from the start of treatmentFor this objective, the image noise level was evaluated in regions of interest representing different tissue types (muscle and fat) in both CT simulation images and HyperSight CBCT images. Image noise is the variation in image intensity, which is measured in Hounsfield Units (HU), in a region that should have uniform intensity without the presence of noise. Image noise is measured as the standard deviation of HU within the defined regions of interest. Higher noise values indicate poorer image quality. HyperSight images can be reconstructed from raw data using different reconstruction algorithms. For this analysis, both the standard Feldkamp-Davis-Kress (FDK) algorithm and an iterative metal artifact reduction (MAR) algorithm were evaluated.

Secondary

MeasureTime frameDescription
Accuracy of Radiation Dose Calculation on HyperSight CBCTWithin 1 month from the start of treatmentThe accuracy of dose calculation on HyperSight CBCT was evaluated by re-calculating a participant's clinical treatment plan on one of their HyperSight images and comparing the doses delivered to target structures and organs at risk (OARs). The lower the difference in dose metrics between a HyperSight CBCT-based plan and a CT simulation-based plan, the more accurate the dose calculation on HyperSight CBCT. Both the maximum dose delivered to OARs and the mean dose delivered to OARs were compared between HyperSight-based plans and CT simulation-based plans. We report the worst overall accuracy, i.e. maximum difference in dose metrics across all OARs from across all patients. Similarly, the maximum dose delivered to the target, the mean dose delivered to the target and the minimum dose delivered to 95% of the target were compared between HyperSight CBCT-based plans and CT simulation-based plans. We report here the maximum difference across all dose metrics from across all patients.
Qualitative Assessment of Novel CBCT Images for Contouring Organs at RiskWithin 1 month from the start of treatmentCT simulation images and HyperSight CBCTs from subjects were randomly presented to expert reviewers, who were blinded to the type of image they were looking at and who were asked to rate their confidence level for contouring organs at risk (OARs) on the images using a 5-point Likert scale (very high, high, moderate, low, very low). The percentage of times that a reviewer rated their confidence level for contouring OARs on HyperSight CBCT as moderate, high, or very high was recorded. A higher percentage means a more favorable assessment for OAR contouring on HyperSight CBCT. The percentage of times the reviewer's confidence level for contouring on a HyperSight CBCT was equal to or higher than their confidence level on the corresponding CT simulation image was also recorded, where again a higher percentage means a better assessment for OAR contouring on HyperSight CBCT. The HyperSight iterative metal artifact reconstruction (MAR) algorithm was used in this analysis.

Countries

Netherlands

Participant flow

Participants by arm

ArmCount
Novel CBCT Imaging
All subjects undergo one additional imaging session with the novel CBCT imaging system.
40
Total40

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyWithdrawal by Subject1

Baseline characteristics

CharacteristicNovel CBCT Imaging
Age, Continuous67 years
Body Mass Index (BMI)26.4 kg/m^2
Race and Ethnicity Not Collected— Participants
Sex: Female, Male
Female
22 Participants
Sex: Female, Male
Male
18 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 40
other
Total, other adverse events
0 / 40
serious
Total, serious adverse events
0 / 40

Outcome results

Primary

Image Quality

For this objective, the image noise level was evaluated in regions of interest representing different tissue types (muscle and fat) in both CT simulation images and HyperSight CBCT images. Image noise is the variation in image intensity, which is measured in Hounsfield Units (HU), in a region that should have uniform intensity without the presence of noise. Image noise is measured as the standard deviation of HU within the defined regions of interest. Higher noise values indicate poorer image quality. HyperSight images can be reconstructed from raw data using different reconstruction algorithms. For this analysis, both the standard Feldkamp-Davis-Kress (FDK) algorithm and an iterative metal artifact reduction (MAR) algorithm were evaluated.

Time frame: Within 1 month from the start of treatment

Population: Images were analyzed according to the anatomical region being imaged. As of the last date of publication to ClinicalTrials.gov, only data for the 7 Head/Neck participants were available.

ArmMeasureGroupValue (MEDIAN)
Head/Neck ImagingImage QualityNoise in muscle for planning CT6.6 standard deviation of HU values
Head/Neck ImagingImage QualityNoise in muscle for HyperSight MAR9.8 standard deviation of HU values
Head/Neck ImagingImage QualityNoise in muscle for HyperSight FDK11.2 standard deviation of HU values
Head/Neck ImagingImage QualityNoise in fat for planning CT8.9 standard deviation of HU values
Head/Neck ImagingImage QualityNoise in fat for HyperSight MAR7.1 standard deviation of HU values
Head/Neck ImagingImage QualityNoise in fat for HyperSight FDK7.6 standard deviation of HU values
Secondary

Accuracy of Radiation Dose Calculation on HyperSight CBCT

The accuracy of dose calculation on HyperSight CBCT was evaluated by re-calculating a participant's clinical treatment plan on one of their HyperSight images and comparing the doses delivered to target structures and organs at risk (OARs). The lower the difference in dose metrics between a HyperSight CBCT-based plan and a CT simulation-based plan, the more accurate the dose calculation on HyperSight CBCT. Both the maximum dose delivered to OARs and the mean dose delivered to OARs were compared between HyperSight-based plans and CT simulation-based plans. We report the worst overall accuracy, i.e. maximum difference in dose metrics across all OARs from across all patients. Similarly, the maximum dose delivered to the target, the mean dose delivered to the target and the minimum dose delivered to 95% of the target were compared between HyperSight CBCT-based plans and CT simulation-based plans. We report here the maximum difference across all dose metrics from across all patients.

Time frame: Within 1 month from the start of treatment

Population: Dose calculation accuracy was analyzed according to the anatomical region being imaged. As of the last date of publication to ClinicalTrials.gov, only data for the 7 Head/Neck participants were available.

ArmMeasureGroupValue (NUMBER)
Head/Neck ImagingAccuracy of Radiation Dose Calculation on HyperSight CBCTMax difference in OAR DVH metrics between HyperSight MAR and CT simulation across all subjects.1.1 Gy
Head/Neck ImagingAccuracy of Radiation Dose Calculation on HyperSight CBCTMax difference in target DVH metrics between HyperSight MAR and CT simulation across all subjects.6.5 Gy
Secondary

Qualitative Assessment of Novel CBCT Images for Contouring Organs at Risk

CT simulation images and HyperSight CBCTs from subjects were randomly presented to expert reviewers, who were blinded to the type of image they were looking at and who were asked to rate their confidence level for contouring organs at risk (OARs) on the images using a 5-point Likert scale (very high, high, moderate, low, very low). The percentage of times that a reviewer rated their confidence level for contouring OARs on HyperSight CBCT as moderate, high, or very high was recorded. A higher percentage means a more favorable assessment for OAR contouring on HyperSight CBCT. The percentage of times the reviewer's confidence level for contouring on a HyperSight CBCT was equal to or higher than their confidence level on the corresponding CT simulation image was also recorded, where again a higher percentage means a better assessment for OAR contouring on HyperSight CBCT. The HyperSight iterative metal artifact reconstruction (MAR) algorithm was used in this analysis.

Time frame: Within 1 month from the start of treatment

Population: Images were assessed according to the anatomical region being imaged. As of the last date of publication to ClinicalTrials.gov, only data for the 7 Head/Neck participants were available. Seven observers evaluated two image series - CT simulation images and HyperSight CBCT - from each study participant.

ArmMeasureGroupValue (NUMBER)
Head/Neck ImagingQualitative Assessment of Novel CBCT Images for Contouring Organs at Risk% evaluations OAR contouring confidence on HyperSight MAR was equal or higher than on CT simulation47 % evaluations
Head/Neck ImagingQualitative Assessment of Novel CBCT Images for Contouring Organs at RiskPercentage of moderate, high, or very high confidence in contouring OARs on HyperSight70 % evaluations

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026