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In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis

Author

Listed:
  • Marta Mazur

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

  • Artnora Ndokaj

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

  • Divyambika Catakapatri Venugopal

    (Department of Oral Medicine and Radiology, Faculty of Dental Sciences, Sri Ramachandra Institute of Higher Education and Research, Chennai 600116, India)

  • Michela Roberto

    (Medical Oncology Unit, Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University, 00161 Rome, Italy)

  • Cristina Albu

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

  • Maciej Jedliński

    (Department of Interdisciplinary Dentistry, Pomeranian Medical University in Szczecin, 70111 Szczecin, Poland)

  • Silverio Tomao

    (Medical Oncology Unit, Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University, 00161 Rome, Italy)

  • Iole Vozza

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

  • Grzegorz Trybek

    (Department of Oral Surgery, Pomeranian Medical University in Szczecin, 70111 Szczecin, Poland)

  • Livia Ottolenghi

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

  • Fabrizio Guerra

    (Department of Oral and Maxillo-Facial Sciences, Sapienza University, 00161 Rome, Italy)

Abstract

Objectives: Oral potentially malignant disorders (OPMDs) are lesions that may undergo malignant transformation to oral cancer. The early diagnosis and surveillance of OPMDs reduce the morbidity and mortality of patients. Diagnostic techniques based on medical images analysis have been developed to diagnose clinical conditions. This systematic review and meta-analysis aimed to evaluate the efficacy of imaging-based techniques compared to the gold standard of histopathology to assess their ability to correctly identify the presence of OPMDs. Design: Literature searches of free text and MeSH terms were performed using MedLine (PubMed), Scopus, Google Scholar, and the Cochrane Library (from 2000 to 30 June 2020). The keywords used in the search strategy were: (“oral screening devices” or “autofluorescence” or “chemiluminescence” or “optical imaging” or “imaging technique”) and (“oral dysplasia” or “oral malignant lesions” or “oral precancerosis”). Results: The search strategy identified 1282 potential articles. After analyzing the results and applying the eligibility criteria, the remaining 43 papers were included in the qualitative synthesis, and 34 of these were included in the meta-analysis. Conclusions: None of the analyzed techniques based on assessing oral images can replace the biopsy. Further studies are needed to explore the role of techniques-based imaging analysis to identify an early noninvasive screening method.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:22:p:11775-:d:675672
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    References listed on IDEAS

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    1. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
    2. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
    3. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
    4. Gianna Maria Nardi & Francesca Cesarano & Giulio Papa & Lorella Chiavistelli & Roman Ardan & Maciej Jedlinski & Marta Mazur & Roberta Grassi & Felice Roberto Grassi, 2020. "Evaluation of Salivary Matrix Metalloproteinase (MMP-8) in Periodontal Patients Undergoing Non-Surgical Periodontal Therapy and Mouthwash Based on Ozonated Olive Oil: A Randomized Clinical Trial," IJERPH, MDPI, vol. 17(18), pages 1-10, September.
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    1. 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.

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