History and future perspectives for the use of fluorescence visualization to detect oral squamous cell carcinoma and oral potentially malignant disorders

Tomo, Saygo; Miyahara, Glauco Issamu; Simonato, Luciana Estevam

doi:10.1016/j.pdpdt.2019.10.005

Cited by 23 publications

(10 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is a key point of criticism because the use of VelScope now is “targeted”, usually applied on “high-risk” patients with OPMDs/OSCC and/or entrusted to trained clinicians [ 20 ]. Therefore, the high values of sensitivity and specificity reported have not been tested in the general dentistry field; for this reason, VelScope is not supported by robust evidence for its use in primary care, but only in selected specialist clinics where trained physicians may discriminate among OPMDs [ 21 ]. However, an effective screening system must be applicable in the context of primary care by all the physicians who take care of oral health (general/specialist dentists, otorhinolaryngologists, general physicians, maxillofacial surgeons).…”

Section: Discussionmentioning

confidence: 99%

May VelScope Be Deemed an Opportunistic Oral Cancer Screening by General Dentists? A Pilot Study

Leuci

Coppola

Turkina

et al. 2020

JCM

View full text Add to dashboard Cite

Early diagnosis of oral cancer through visual inspection followed by histopathological confirmation is a pivotal step for reducing rates of morbidity and mortality. There are several auxiliary devices used to improve oral examination. The purpose of this cross-sectional pilot study is to evaluate the sensitivity and specificity of the Visually Enhance Lesion Scope (VelScope) system when it is used by the general dentist after a yearly oral medicine training. Thirty-five patients with oral lesions were evaluated with clinical and VelScope examination by two general dentists, one of which trained with a specific course. A comparison of the histopathological results, clinical examination, and VelScope made by both dentists was performed through statistical analysis. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for detecting oral potentially malignant disorders (OPMDs) are 53.3%, 65%, 53.3%, 76.5% for unskilled dentist, 73.3%, 65%, 61.1%, 76.5% for skilled clinician. When both examiners use VelScope the values are 53.3%, 70%, 57.1%, 66.7% for unskilled general dentist (u-GD), 86.7%, 90%, 86.7%, 90% for skilled general dentist (s-GD). Improvement of a skilled general dentist for detecting malignancies is higher than inexperienced examiner when using VelScope. VelScope alone is unable to improve the general dentist’s ability to detect malignancies, but it could be a useful adjunctive device for clinicians when a focused training program is performed.

show abstract

Section: Discussionmentioning

confidence: 99%

May VelScope Be Deemed an Opportunistic Oral Cancer Screening by General Dentists? A Pilot Study

Leuci

Coppola

Turkina

et al. 2020

JCM

View full text Add to dashboard Cite

show abstract

“…Yet, overall, existing guidelines do not recommend for community screeners or dentists the use of currently available imaging-based adjuncts such as autofluorescence imaging (Macey et al 2015; Lingen et al 2017), in part due to low accuracy in distinguishing OPSCC/OPMLs from benign confounders, as well as challenges in interpreting images. However, other recent works have validated the use of autofluorescence within the context of population screening and recommend it as an adjunct method to conventional oral examination to detect OPMLs and OPSCC (Simonato et al 2017; Farah et al 2019; Simonato et al 2019; Tiwari et al 2019; Tomo et al 2019).…”

Section: Imaging Oral and Oropharyngeal Squamous Cell Carcinomamentioning

confidence: 99%

Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence

2020

View full text Add to dashboard Cite

Early diagnosis is the most important determinant of oral and oropharyngeal squamous cell carcinoma (OPSCC) outcomes, yet most of these cancers are detected late, when outcomes are poor. Typically, nonspecialists such as dentists screen for oral cancer risk, and then they refer high-risk patients to specialists for biopsy-based diagnosis. Because the clinical appearance of oral mucosal lesions is not an adequate indicator of their diagnosis, status, or risk level, this initial triage process is inaccurate, with poor sensitivity and specificity. The objective of this study is to provide an overview of emerging optical imaging modalities and novel artificial intelligence–based approaches, as well as to evaluate their individual and combined utility and implications for improving oral cancer detection and outcomes. The principles of image-based approaches to detecting oral cancer are placed within the context of clinical needs and parameters. A brief overview of artificial intelligence approaches and algorithms is presented, and studies that use these 2 approaches singly and together are cited and evaluated. In recent years, a range of novel imaging modalities has been investigated for their applicability to improving oral cancer outcomes, yet none of them have found widespread adoption or significantly affected clinical practice or outcomes. Artificial intelligence approaches are beginning to have considerable impact in improving diagnostic accuracy in some fields of medicine, but to date, only limited studies apply to oral cancer. These studies demonstrate that artificial intelligence approaches combined with imaging can have considerable impact on oral cancer outcomes, with applications ranging from low-cost screening with smartphone-based probes to algorithm-guided detection of oral lesion heterogeneity and margins using optical coherence tomography. Combined imaging and artificial intelligence approaches can improve oral cancer outcomes through improved detection and diagnosis.

show abstract

“…At present, the diagnosis is based on a thorough clinical exploration—the latter forming part of any routine medical consultation, affording high discriminating capacity and taking little time to complete in the clinic [ 2 , 3 , 4 , 5 ]. Several recent studies have evaluated the use of autofluorescence in the context of population screening interventions, and recommend it as an adjunct to conventional oral examination for the assessment of oral potentially malignant disorders (OPMDs), with oral biopsy remaining the diagnostic gold standard in all cases [ 10 , 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review

García-Pola

Pons-Fuster

Suárez-Fernández

et al. 2021

Cancers

View full text Add to dashboard Cite

The early diagnosis of cancer can facilitate subsequent clinical patient management. Artificial intelligence (AI) has been found to be promising for improving the diagnostic process. The aim of the present study is to increase the evidence on the application of AI to the early diagnosis of oral cancer through a scoping review. A search was performed in the PubMed, Web of Science, Embase and Google Scholar databases during the period from January 2000 to December 2020, referring to the early non-invasive diagnosis of oral cancer based on AI applied to screening. Only accessible full-text articles were considered. Thirty-six studies were included on the early detection of oral cancer based on images (photographs (optical imaging and enhancement technology) and cytology) with the application of AI models. These studies were characterized by their heterogeneous nature. Each publication involved a different algorithm with potential training data bias and few comparative data for AI interpretation. Artificial intelligence may play an important role in precisely predicting the development of oral cancer, though several methodological issues need to be addressed in parallel to the advances in AI techniques, in order to allow large-scale transfer of the latter to population-based detection protocols.

show abstract

History and future perspectives for the use of fluorescence visualization to detect oral squamous cell carcinoma and oral potentially malignant disorders

Cited by 23 publications

References 65 publications

May VelScope Be Deemed an Opportunistic Oral Cancer Screening by General Dentists? A Pilot Study

May VelScope Be Deemed an Opportunistic Oral Cancer Screening by General Dentists? A Pilot Study

Improving Oral Cancer Outcomes with Imaging and Artificial Intelligence

Role of Artificial Intelligence in the Early Diagnosis of Oral Cancer. A Scoping Review

Contact Info

Product

Resources

About