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Feasibility of Multi-Energy Digital Radiography Detector for Lung Lesions Detection

Feasibility of Single Exposure Dual Energy Subtraction With a Multi-Energy Digital Radiography Detector for Lung Lesions Detection

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03528733
Enrollment
30
Registered
2018-05-18
Start date
2018-10-22
Completion date
2021-06-01
Last updated
2020-01-10

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

Conditions

Lung Tumor, Solitary Pulmonary Nodule

Brief summary

A single-centre, industry sponsored, pilot study to assess the feasibility of Single Exposure Dual Energy Subtraction with a Multi-Energy digital radiography detector as an imaging platform for lung lesion detection.

Detailed description

A feasibility study is proposed to investigate the imaging characteristics captured by a Single Exposure Dual-Energy Subtraction digital radiography with KA Imaging's Multi-energy detector. The acquisition of Dual-Energy Subtraction radiography will consist of using the Multi-Energy detector integrated into the X-ray system in Grand River Hospital. Patient will receive a Multi-Energy Chest radiography exam on the same day as their routine chest CT exam. Each Multi-Energy radiography exam will consist of one Chest PA image and one Chest LAT image. Duration of each procedure is 60 minutes. The Multi-Energy Detector will generate a General Radiography Image and Dual-Energy Subtracted Images. Visualization of lung lesions by Multi-Energy detector will be compared to corresponding CT exam and general radiography results. Imaging data will be evaluated qualitatively by radiologists on data collection form to describe the findings on the images. Further comparison between general radiography, Dual-Energy Subtraction radiography and CT will be analyzed to determine the differences of imaging characteristics such as description of image quality and visibility of relevant anatomical structures and anomalies.

Interventions

DEVICEMulti-Energy Digital Radiography Detector System

A Multi-energy digital flat panel detector for Single Exposure Dual-Energy Subtraction radiography is developed to capture x-ray images with improved tissue differentiation. Tissue-selective images can be produced at various tissue levels such as bone and soft tissue to visualize obscured anomalies that are not apparent to General Radiography.

Sponsors

Grand River Hospital
CollaboratorOTHER
KA Imaging Inc.
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

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

Inclusion criteria

* Age 18 years and older. * Patients with previously diagnosed carcinoma with lung metastases, or patients with previously detected lung nodule * Subject is able to provide informed consent * Study participant is scheduled to have a chest CT exam as part of their routine care. * Study participant is able to stand and be still during the exams.

Exclusion criteria

* Not able or willing to provide Informed Consent, or consent is withdrawn. * Study participant is pregnant * Study participant is unable to perform standard radiography exam and CT exam

Design outcomes

Primary

MeasureTime frameDescription
Multi-Energy images will be compared to baseline Chest CT images for visualizing lung lesions.3 monthsMulti-Energy images will be compared to baseline Chest CT images for visualizing lung lesions, as determined. Expert readers will qualitatively evaluate the imaging differences (e.g. motion artifacts, technical defects, ease of anomalies identification, etc) with an evaluation form with a questionnaire grading system (i.e. 1 (severe defect), 2 (moderate defect) to 5 (no defect)).

Secondary

MeasureTime frameDescription
Multi-Energy images will be compared to standard radiography images for visualizing lung lesions.3 monthsMulti-Energy images will be compared to standard radiography images for visualizing lung lesions, as determined. Expert readers will qualitatively evaluate the imaging differences (e.g. motion artifacts, technical defects, ease of anomalies identification, etc) with an evaluation form with a questionnaire grading system (i.e. 1 (severe defect), 2 (moderate defect) to 5 (no defect)).

Countries

Canada

Contacts

Primary ContactTracy Nelson
Tracy.Nelson@grhosp.on.ca(519) 749-4370

Outcome results

None listed

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