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Evaluation of Oral Mucosal Lesions Using the IllumiScan ® Fluorescence Visualisation Device: Distinguishing Squamous Cell Carcinoma

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  • Yuki Taguchi

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Shigeaki Toratani

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Kensaku Matsui

    (Department of Dentistry and Oral Surgery, Hiroshima Prefectural Hospital, Hiroshima 734-8530, Japan)

  • Seiya Hayashi

    (Department of Dentistry and Oral Surgery, JA Onomichi General Hospital, Onomichi 722-8508, Japan)

  • Natsuki Eboshida

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Atsuko Hamada

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Nanako Ito

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Fumitaka Obayashi

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Naohiro Kimura

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

  • Souichi Yanamoto

    (Department of Oral Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi Minami-ku, Hiroshima 734-8551, Japan)

Abstract

We evaluated whether fluorescence intensity (FI) and its coefficient of variation (CV) can be used to diagnose squamous cell carcinoma (SCC) through IllumiScan ® , an oral mucosa fluorescence visualisation (FV) device. Overall, 190 patients with oral mucosal lesions (OMLs; SCC, 59; non-SCC OMLs, 131) and 49 patients with normal oral mucosa (NOM) were enrolled between January 2019 and March 2021. The FI of the images was analysed using image analysis software. After establishing regions of interest for SCC, non-SCC, and NOM, the average FI, standard deviation (SD), and CV were compared. There was a significant difference in the average FI for all pairs of comparisons. The SD was not significantly different between the SCC and NOM groups ( p = 0.07). The CV differed significantly for NOM ( p < 0.001) and non-SCC groups ( p < 0.001) relative to the SCC group but was not different between NOM and non-SCC groups ( p = 0.15). Univariate analysis of SCC and non-SCC groups showed significant differences for all factors, except age. However, multivariate analysis showed a significant intergroup difference only in the CV ( p = 0.038). Therefore, analysing the CV in FV images of OML may be useful for the diagnosis of oral cancer.

Suggested Citation

  • Yuki Taguchi & Shigeaki Toratani & Kensaku Matsui & Seiya Hayashi & Natsuki Eboshida & Atsuko Hamada & Nanako Ito & Fumitaka Obayashi & Naohiro Kimura & Souichi Yanamoto, 2022. "Evaluation of Oral Mucosal Lesions Using the IllumiScan ® Fluorescence Visualisation Device: Distinguishing Squamous Cell Carcinoma," IJERPH, MDPI, vol. 19(16), pages 1-10, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10414-:d:893917
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    References listed on IDEAS

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    1. Silvio Abati & Chiara Bramati & Stefano Bondi & Alessandra Lissoni & Matteo Trimarchi, 2020. "Oral Cancer and Precancer: A Narrative Review on the Relevance of Early Diagnosis," IJERPH, MDPI, vol. 17(24), pages 1-14, December.
    2. Marta Mazur & Artnora Ndokaj & Divyambika Catakapatri Venugopal & Michela Roberto & Cristina Albu & Maciej Jedliński & Silverio Tomao & Iole Vozza & Grzegorz Trybek & Livia Ottolenghi & Fabrizio Guerr, 2021. "In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
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