Design and Evaluation of Mobile X-ray for Rapid and Accurate Diagnosis of Thoracic Disease

October 23, 2018 updated by: University Health Network, Toronto

Design and Evaluation of Innovative Mobile X-Ray Technology for Rapid and Accurate Diagnosis of Thoracic Disease in Critically Ill Patients

Computed tomography (CT) is the most accurate test for evaluating patients with thoracic disease. However, access to CT is limited due to long wait times and for the sickest patients in Hospital who cannot be transported from the ward to the CT scanner. The investigators propose to modify a standard X-ray unit to provide more detailed information of the chest such that a CT scan is not required for all patients.

Study Overview

Status

Terminated

Conditions

Detailed Description

Dual-energy (DE) imaging consists of acquiring paired "low" and "high"-energy x-ray images. The use of DE to improve radiological contrast was first described by Jacobson et al in 1958; followed by Mistretta et al and Alvarez and Macovski in the mid-1970s. With the advent of new digital X-ray detectors that provide high dose efficiency and rapid readout of digital X-ray projections, there has been renewed interest in using DE x-ray imaging for lung nodule detection. More recently, portable x-ray detectors have made bedside DE imaging possible. Jabri et. al. presented a portable DE system with novel respiratory and cardiac gating, and Hoggarth et. al. investigated the potential for DE subtraction in improving the visualization of lung tumors while performing image-guided radiotherapy.

The investigators group is experienced in investigating DE for lung nodule detection, this theoretical framework was instrumental in optimizing a clinical prototype for high-performance DE chest X-ray. It identified optimal DE image acquisition and decomposition techniques, and validated the approach in comparison to human observer performance. The analysis further demonstrated that - given a high-performance flat plate detector, optimal acquisition and decomposition - DE chest X-ray is possible at the same dose as conventional computer radiography (CR) and digital radiography (DR) chest X-ray, while significantly improving conspicuity of subtle lung nodules by the reduction of overlying background noise. The DE work undertaken by our group is unique in terms of providing a clear theoretical framework for optimizing a clinical prototype for best performance in terms of image quality and patient exposure to ionizing radiation.

Study Type

Interventional

Enrollment (Actual)

34

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M5G 2N2
        • Toronto General Hospital, Department of Medical Imaging

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

19 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • the presence of lung disease (nodules, masses, consolidation and collapse), pleural disease (effusion, thickening), mediastinal and hilar lymph node enlargement, on thoracic CT

Exclusion Criteria:

  • unable to consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Single Group Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: Digital Tomosynthesis
Patient will get tomosynthesis scan
Other: Dual energy
Patient will get dual energy scan

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Improved detection of maliganancy with modified x-ray
Time Frame: 6 months
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Narinder Paul, MD, UHN

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2015

Primary Completion (Actual)

December 1, 2016

Study Completion (Actual)

December 1, 2016

Study Registration Dates

First Submitted

March 12, 2015

First Submitted That Met QC Criteria

March 17, 2015

First Posted (Estimate)

March 18, 2015

Study Record Updates

Last Update Posted (Actual)

October 25, 2018

Last Update Submitted That Met QC Criteria

October 23, 2018

Last Verified

October 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 14-7549-CE

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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