COVID-19 Thales Thermography Triage : Thermal Camera Feasibility Study (COVID3T)

May 20, 2020 updated by: David Lowe, NHS Greater Clyde and Glasgow

COVID-19 Response - Thermography Based Fever Detection for Triaging of Patients - A Feasibility Study

This study will refine and pilot the feasibility of introducing a thermal imaging test to detect fever in 100 patients being triaged within the Emergency Department. The only additional research requirement for the patient is to have a thermal image of their face taken. Other triage tests will be routine.

The aims of the feasibility study are to:

  • Understand the acceptability of introducing the intervention within the Emergency Department setting
  • Establish indicative patient recruitment numbers per week
  • Determine the likely proportion of patients recruited from this group who have a high temperature
  • Provide preliminary evidence that the technology can identify a high temperature in this diverse group of patients
  • Provide preliminary data for machine learning training to support classification of patients as being with or without fever

The feasibility study will then inform the design and size of larger study to further develop and validate the the thermal imaging screening test to provide a 'with/ without' fever result.

Study Overview

Status

Unknown

Conditions

Detailed Description

Justification for research and project plan Background In the fifty years since the emergence of thermal imaging technology, Thales in Glasgow has built up a world leading capability in the design, manufacture and supply of Thermal Imaging cameras. In addition to the cameras, Thales in Glasgow has a particular expertise in developing image processing algorithms (conventional and artificial intelligence based) to allow the cameras to perform critical user tasks beyond mere imaging.

COVID-19 [SARS-COV-2] has placed a huge challenge on the world. In response to the crisis, Thales is engaged in a number of initiatives, including one aimed at the possible application of thermal imaging cameras to detect people with a fever and hence those who may be suffering from COVID-19. This initiative has received encouraging feedback from prospective users around the world who are looking, not only at the immediate issue in the hospitals, but also forward to a time beyond the current lockdowns, when cost effective techniques for surveying groups of people for potential COVID-19 sufferers will be required. This surveillance, for example, could be in hospitals, at airport gates, in buildings or outside in streets. As part of the initiative Thales Glasgow has been performing analysis and experiments using cameras looking at faces to confirm what temperature differences can be measured.

What Thales lacks is real world thermal images of patients suffering fever and access to clinicians who can advise on the medical aspects of the work. This research would fill these two voids.

Benefit and Rationale Existing thermal camera based fever detection systems suffer from two main issues that restrict their current application: Cost and Sensitivity.In order to achieve the required sensitivity, existing systems often require Black Body (BB) calibration sources to be visible in the scene. These BB sources are often more expensive than the cameras (circa one to two orders of magnitude more expensive). Thales believe they can achieve the required sensitivity without the need for BB sources by using advanced thermal camera correction algorithms.

The variability in skin emissivity makes conversions from irradiance as measured by a thermal camera, to absolute skin temperature inaccurate. Previous work place the emissivity of human skin between 0.990 and 0.999, however earlier research suggests that the value is 0.971 ± 0.005(SD). Typically in existing systems, this inaccurate, absolute temperature is used along with a simple threshold algorithm to find skin above a certain temperature leading to both false positives and false negatives.

Significant statistical correlation between the temperature of multiple facial features and measured human temperature has been observed. Their research found that for most facial features there was a correlation between multiple aspects of the facial view and recorded oral and tympanic temperature, with correlations of 0.5 or greater observed for multiple aspects of both the front and side of the face, with the ear offering the greatest statistical correlation.

Study Type

Observational

Enrollment (Anticipated)

100

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

      • Glasgow, United Kingdom, G52 4TF
        • Queen Elizabeth University Hospital

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

16 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

All patients attending Queen Elizabeth University Hospital Emergency Department requiring triage

Description

Inclusion Criteria:

  • Patients ≥ 16 years old
  • Patients able to read and understand English
  • Patients able to give informed consent
  • Patients being triaged through ED for any complaint (not necessarily COVID-19)

Exclusion Criteria:

  • Patients not meeting the inclusion criteria
  • Patients who do not have capacity to consent
  • Patients attending ED who are fast-tracked without triage

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
ED Patients
Patients Presenting in Emergency Department
Measure Temperature using Thermal Camera
Measure Temperature using Tympanic Temperature

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Temperature
Time Frame: During Emergency Department Stay (first 4 hours of hospitalisation)
Measurement of temperature
During Emergency Department Stay (first 4 hours of hospitalisation)

Collaborators and Investigators

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

Investigators

  • Principal Investigator: David J Lowe, MBChB, NHS Greater Glasgow and Clyde

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 (Anticipated)

May 20, 2020

Primary Completion (Anticipated)

June 3, 2020

Study Completion (Anticipated)

July 1, 2020

Study Registration Dates

First Submitted

May 16, 2020

First Submitted That Met QC Criteria

May 19, 2020

First Posted (Actual)

May 21, 2020

Study Record Updates

Last Update Posted (Actual)

May 22, 2020

Last Update Submitted That Met QC Criteria

May 20, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • INGC20AE209

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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