Uses of infrared thermography in acute illness: a systematic review.

Autor: Stanley SA; Lancaster Medical School, University of Lancaster, Lancaster, United Kingdom.; Department of Anaesthesia, The Royal Oldham Hospital, Oldham, United Kingdom., Divall P; University Hospitals of Leicester NHS Trust, Leicester, United Kingdom., Thompson JP; University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.; Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom., Charlton M; University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.; Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom.
Jazyk: angličtina
Zdroj: Frontiers in medicine [Front Med (Lausanne)] 2024 Jun 24; Vol. 11, pp. 1412854. Date of Electronic Publication: 2024 Jun 24 (Print Publication: 2024).
DOI: 10.3389/fmed.2024.1412854
Abstrakt: Introduction: Infrared thermography (IRT) is a non-contact, non-ionising imaging modality, providing a visual representation of temperature distribution across a surface.
Methods: We conducted a systematic search of indexed and grey literature for studies investigating IRT applications involving patients in acute care settings. Studies were categorised and described along themes identified iteratively using narrative synthesis. Quality appraisal of included studies was performed using the Quality Assessment tool for Diagnostic Accuracy Studies.
Results: Of 1,060 unique records, 30 studies were included. These were conducted in emergency departments and intensive care units involving adult, paediatric and neonatal patients. IRT was studied for the diagnosis, monitoring or risk stratification of a wide range of individual conditions. IRT was predominantly used to display thermal change associated with localised inflammation or microcirculatory dysfunction. Existing research is largely at an early developmental stage.
Discussion: We recommend that high quality diagnostic validation studies are now required for some clinical applications. IRT has the potential to be a valuable tool in the acute care setting and represents an important area for future research particularly when combined with advances in machine learning technology.
Systematic Review Registration: CRD 42022327619 (https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=327619).
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2024 Stanley, Divall, Thompson and Charlton.)
Databáze: MEDLINE