Thales Thermography Triage (3T) - Pilot Project

NHS Greater Clyde and Glasgow

Status

Unknown

Conditions

Fever

Treatments

Device: Thermography

Device: Forehead Thermometer

Device: 62 Max + Infra-red thermometer

Device: Tympanic Thermometer

Study type

Observational

Funder types

Other

Identifiers

NCT04792450

287901

Details and patient eligibility

About

COVID Related Study.

This study will compare the Thales High Temperature Detection (HTD) system with the two routinely used temperature measurement systems (tympanic and forehead) in patients and staff in the Emergency Department.

The aims of the study are:

To determine the diagnostic accuracy of HTD for the measurement of fever, using an equivalence comparison with the maximum temperature recorded with two routinely used temperature measurements (tympanic and forehead), margin ±0.2°C.
To determine if skin tone is an independent confounding factor in the measurement of fever using HTD
To establish performance of internal calibration of Thales device
To power for a definitive Clinical Investigation to determine clinical efficacy and safety cut off with HTD If results are encouraging the aim would then be to undertake a clinical investigation in order to get CE marking for use in a clinical setting.

Full description

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.Fever is a key symptom of covid-19. One of the major limitations of existing systems is thermographic accuracy. Most current thermographic camera systems offer an accuracy of ± 0.5°C. This can be reduced to ±0.3°C with the inclusion of a "Black Body" calibration source, although this limits the portability of the system. Using their unique knowledge and expertise in high resolution and precision thermal imaging and thermal image processing, Thales aims to develop a fever screening system with an accuracy of ± 0.1°C to enable more effective identification and triage of people with fever.

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.

In a pilot study conducted in the Emergency Department, Queen Elizabeth University Hospital (20/NS/0064), the Thales High Temperature Detection (HTD) system was found to be more accurate than a tympanic thermometer which captures Infrared radiation emitted by the tympanic membrane in the ear or forehead thermometer. Tympanic temperature measurements are typically used in the hospital setting in Scotland whereas forehead IR measurement is common in transportation and workplace settings.

The HTD has been redesigned in response to three key findings from the pilot study:

The relative temperature of some facial features correlated more strongly with tympanic temperature than others.
Having an external Black Body (BB) calibration source in the scene at all times was impractical in a clinical environment
Camera systems require to be compact and portable to be useful to clinical staff.

As a result, the HTD is now significantly reduced in size, including peripheral devices. A novel calibration solution has been designed (and patented) that not only removes the need for the black body source but allows for a more accurate temperature evaluation. In addition, facial feature detection has been integrated into the software to allow it to automatically locate the patient's head and in the near future, automatically determine the temperatures of individual facial features. This development will capture facial feature detection - not facial recognition.

Enrollment

200 patients

Sex

All

Ages

16+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

Patients ≥ 16 years old with no upper age limit
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 QEUH ED staff

Exclusion criteria