In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis
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 d...
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MDPI AG
2021
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oai:doaj.org-article:4e038454bda4420fb41db66c01c141b12021-11-25T17:48:16ZIn Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis10.3390/ijerph1822117751660-46011661-7827https://doaj.org/article/4e038454bda4420fb41db66c01c141b12021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11775https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Objectives: 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.Marta MazurArtnora NdokajDivyambika Catakapatri VenugopalMichela RobertoCristina AlbuMaciej JedlińskiSilverio TomaoIole VozzaGrzegorz TrybekLivia OttolenghiFabrizio GuerraMDPI AGarticleimaging-based techniquespotentially malignant oral lesionsOPMDdiagnosisMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11775, p 11775 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
imaging-based techniques potentially malignant oral lesions OPMD diagnosis Medicine R |
| spellingShingle |
imaging-based techniques potentially malignant oral lesions OPMD diagnosis Medicine R Marta Mazur Artnora Ndokaj Divyambika Catakapatri Venugopal Michela Roberto Cristina Albu Maciej Jedliński Silverio Tomao Iole Vozza Grzegorz Trybek Livia Ottolenghi Fabrizio Guerra In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| description |
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. |
| format |
article |
| author |
Marta Mazur Artnora Ndokaj Divyambika Catakapatri Venugopal Michela Roberto Cristina Albu Maciej Jedliński Silverio Tomao Iole Vozza Grzegorz Trybek Livia Ottolenghi Fabrizio Guerra |
| author_facet |
Marta Mazur Artnora Ndokaj Divyambika Catakapatri Venugopal Michela Roberto Cristina Albu Maciej Jedliński Silverio Tomao Iole Vozza Grzegorz Trybek Livia Ottolenghi Fabrizio Guerra |
| author_sort |
Marta Mazur |
| title |
In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| title_short |
In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| title_full |
In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| title_fullStr |
In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| title_full_unstemmed |
In Vivo Imaging-Based Techniques for Early Diagnosis of Oral Potentially Malignant Disorders—Systematic Review and Meta-Analysis |
| title_sort |
in vivo imaging-based techniques for early diagnosis of oral potentially malignant disorders—systematic review and meta-analysis |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/4e038454bda4420fb41db66c01c141b1 |
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| _version_ |
1718411982517829632 |