Is thermography an effective screening tool for differentiating benign and malignant skin lesions in the head and neck? A systematic review.
Diego Filipe Bezerra SilvaRamon Targino FirminoAna Paula Piovezan FugolinSaulo Leonardo Sousa MeloMarina Tavares Costa NóbregaDaniela Pita de MeloPublished in: Archives of dermatological research (2024)
The aim of this study was to assess, through a systematic review, the status of infrared thermography (IRT) as a diagnostic tool for skin neoplasms of the head and neck region and in order to validate its effectiveness in differentiating benign and malignant lesions. A search was carried out in the LILACS, PubMed/MEDLINE, SCOPUS, Web of Science and EMBASE databases including studies published between 2004 and 2024, written in the Latin-Roman alphabet. Accuracy studies with patients aged 18 years or over presenting benign and malignant lesions in the head and neck region that evaluated the performance of IRT in differentiating these lesions were included. Lesions of mesenchymal origin and studies that did not mention histopathological diagnosis were excluded. The systematic review protocol was registered in the PROSPERO database (CRD42023416079). Reviewers independently analyzed titles, abstracts, and full-texts. After extracting data, the risk of bias of the selected studies was assessed using the QUADAS - 2 tool. Results were narratively synthesized and the certainty of evidence was measured using the GRADE approach. The search resulted in 1,587 records and three studies were included. Only one of the assessed studies used static IRT, while the other two studies used cold thermal stress. All studies had an uncertain risk of bias. In general, studies have shown wide variation in the accuracy of IRT for differentiating between malignant and benign lesions, with a low level of certainty in the evidence for both specificity and sensitivity.
Keyphrases
- systematic review
- case control
- randomized controlled trial
- emergency department
- bone marrow
- end stage renal disease
- newly diagnosed
- magnetic resonance
- big data
- computed tomography
- deep learning
- contrast enhanced
- ejection fraction
- machine learning
- peritoneal dialysis
- prognostic factors
- artificial intelligence
- case report
- data analysis
- heat stress