Literature DB >> 29575378

Recent use of medical infrared thermography in skin neoplasms.

C Magalhaes1, R Vardasca2, J Mendes2.   

Abstract

BACKGROUND: Infrared thermal imaging captures the infrared radiation emitted by the skin surface. The thermograms contain valuable information, since the temperature distribution can be used to characterize physiological anomalies. Thus, the use of infrared thermal imaging (IRT) has been studied as a possible medical tool to aid in the diagnosis of skin oncological lesions. The aim of this review is to assess the current state of the applications of IRT in skin neoplasm identification and characterization.
METHODS: A literature survey was conducted using the reference bibliographic databases: Scopus, PubMed and ISI Web of Science. Keywords (thermography, infrared imaging, thermal imaging and skin cancer) were combined and its presence was verified at the title and abstract of the article or as a main topic. Only articles published after 2013 were considered during this search.
RESULTS: In total, 55 articles were encountered, resulting in 14 publications for revision after applying the exclusion criteria. It was denoted that IRT have been used to characterize and distinguish between malignant and benign neoplasms and different skin cancer types. IRT has also been successfully applied in the treatment evaluation of these types of lesions.
CONCLUSION: Trends and future challenges have been established to improve the application of IRT in this field, disclosing that dynamic thermography is a promising tool for early identification of oncological skin conditions.
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  dynamic thermal imaging; medical diagnostic information; skin cancer; steady-state thermal imaging

Mesh:

Year:  2018        PMID: 29575378     DOI: 10.1111/srt.12469

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.365


  6 in total

1.  Low-cost thermal imaging with machine learning for non-invasive diagnosis and therapeutic monitoring of pneumonia.

Authors:  Yingjie Qu; Yuquan Meng; Hua Fan; Ronald X Xu
Journal:  Infrared Phys Technol       Date:  2022-05-14       Impact factor: 2.997

Review 2.  Skin Cancer Detection Using Infrared Thermography: Measurement Setup, Procedure and Equipment.

Authors:  Jan Verstockt; Simon Verspeek; Filip Thiessen; Wiebren A Tjalma; Lieve Brochez; Gunther Steenackers
Journal:  Sensors (Basel)       Date:  2022-04-26       Impact factor: 3.847

3.  Evaluation of the temperature of posterior lower limbs skin during the whole body vibration measured by infrared thermography: Cross-sectional study analysis using linear mixed effect model.

Authors:  Eloá Moreira-Marconi; Marcia Cristina Moura-Fernandes; Patrícia Lopes-Souza; Ygor Teixeira-Silva; Aline Reis-Silva; Renata Marques Marchon; Eliane de Oliveira Guedes-Aguiar; Laisa Liane Paineiras-Domingos; Danúbia da Cunha de Sá-Caputo; Danielle Soares Morel; Carla Fontoura Dionello; Sérgio Oliveira De-Carvalho; Mario José Dos Santos Pereira; Arlete Francisca-Santos; Gefferson Silva-Costa; Marcio Olímpio-Souza; Tânia Regina Lemos-Santos; Nasser Ribeiro Asad; Vinicius Layter Xavier; Redha Taiar; Anelise Sonza; Adérito Seixas; Darryl J Cochrane; Mario Bernardo-Filho
Journal:  PLoS One       Date:  2019-03-13       Impact factor: 3.240

4.  Deep transcranial magnetic stimulation in combination with skin thermography in obesity: a window on sympathetic nervous system.

Authors:  Anna Ferrulli; Sara Gandini; Giulio Cammarata; Veronica Redaelli; Stefano Massarini; Concetta Macrì; Ileana Terruzzi; Daniele Cannavaro; Fabio Luzi; Livio Luzi
Journal:  Acta Diabetol       Date:  2022-02-17       Impact factor: 4.087

5.  Differential Screening of Herniated Lumbar Discs Based on Bag of Visual Words Image Classification Using Digital Infrared Thermographic Images.

Authors:  Gi Nam Kim; Ho Yeol Zhang; Yong Eun Cho; Seung Jun Ryu
Journal:  Healthcare (Basel)       Date:  2022-06-13

6.  Thermography in ergonomic assessment: a study of wood processing industry workers.

Authors:  Denise Ransolin Soranso; Luciano José Minette; Marcio Marçal; João Carlos Bouzas Marins; Stanley Schettino; Roldão Carlos A Lima; Michel Oliveira
Journal:  PeerJ       Date:  2022-09-20       Impact factor: 3.061

  6 in total

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