Efficacy of light based detection systems for early detection of oral cancer and oral potentially malignant disorders: Systematic review

Nagi, Ravleen; Reddy-Kantharaj, Yashoda-Bhoomi; Rakesh, N; Janardhan-Reddy, Sujatha; Sahu, Shashikant

doi:10.4317/medoral.21104

Cited by 63 publications

(81 citation statements)

References 28 publications

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“…16,18,27,[32][33][34][35] A handheld device, the VELscope, was proposed for clinicians to noninvasively direct the fluorescence images of oral cavity tissues. 16,33,35,[37][38][39][40][41][42][43][44][45][46][47] Some studies observed the spectra of autofluorescence on different anatomical sites and found some characteristics between different sites. The results indicated that quantitative autofluorescence imaging can provide a noninvasive and objective method for detecting oral neoplasia.…”

Section: Introductionmentioning

confidence: 99%

Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis

et al. 2017

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Oral cancer is a serious and growing problem in many developing and developed countries. To improve the cancer screening procedure, we developed a portable light-emitting-diode (LED)-induced autofluorescence (LIAF) imager that contains two wavelength LED excitation light sources and multiple filters to capture ex vivo oral tissue autofluorescence images. Compared with conventional means of oral cancer diagnosis, the LIAF imager is a handier, faster, and more highly reliable solution. The compact design with a tiny probe allows clinicians to easily observe autofluorescence images of hidden areas located in concave deep oral cavities. The ex vivo trials conducted in Taiwan present the design and prototype of the portable LIAF imager used for analyzing 31 patients with 221 measurement points. Using the normalized factor of normal tissues under the excitation source with 365 nm of the central wavelength and without the bandpass filter, the results revealed that the sensitivity was larger than 84%, the specificity was not smaller than over 76%, the accuracy was about 80%, and the area under curve of the receiver operating characteristic (ROC) was achieved at about 87%, respectively. The fact shows the LIAF spectroscopy has the possibilities of ex vivo diagnosis and noninvasive examinations for oral cancer.

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Section: Introductionmentioning

confidence: 99%

Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis

et al. 2017

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“…We present example RCM images and video-mosaics, obtained in healthy volunteer subjects and patients from both clinical and surgical settings (Figs. [3][4][5][6][7][8][9]). The feasibility of video-mosaicking is demonstrated at two key clinically relevant depths.…”

Section: Resultsmentioning

confidence: 99%

“…Figures [3][4][5][6][7] show example cases of RCM imaging and video-mosaicking in normal mucosa on volunteers in the clinical setting. In the epithelium and at the epithelial junction, we observe honeycomb pattern of cells with cobblestone pattern of nuclei.…”

Section: Normal Tissuementioning

confidence: 99%

“…To address this unmet need, a number of optical imaging and spectroscopic techniques are being developed for noninvasive detection of oral premalignancies and malignancies, which may serve as an adjunct for conventional oral examination [4][5][6][7][8][9][10][11]. The pace of development has been remarkably rapid; we present only a quick summary while referring the reader to the vast literature for the current state of translation and clinical testing.…”

Section: Introductionmentioning

confidence: 99%

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Feasibility of a Video‐Mosaicking Approach to Extend the Field‐of‐View For Reflectance Confocal Microscopy in the Oral Cavity In Vivo

et al. 2019

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Background Reflectance confocal microscopy (RCM) is a developing approach for noninvasive detection of oral lesions with label‐free contrast and cellular‐level resolution. For access into the oral cavity, confocal microscopes are being configured with small‐diameter telescopic probes and small objective lenses. However, a small probe and objective lens allows for a rather small field‐of‐view relative to the large areas of tissue that must be examined for diagnosis. To extend the field‐of‐view for intraoral RCM imaging, we are investigating a video‐mosaicking approach. Methods A relay telescope and objective lens were adapted to an existing confocal microscope for access into the oral cavity. Imaging was performed using metal three‐dimensional‐printed objective lens front‐end caps with coverslip windows to contact and stabilize the tissue and set depth. Four healthy volunteers (normal oral mucosa), one patient (with an amalgam tattoo) in a clinical setting, and 20 anesthetized patients (with oral squamous cell carcinoma [OSCC]) in a surgical setting were imaged. Instead of the usual still RCM images, videos were recorded and then processed into video‐mosaics. Thirty video‐mosaics were read and qualitatively assessed by an expert reader of RCM images of the oral mucosa. Results Whereas the objective lens’ native field‐of‐view is 0.75 mm × 0.75 mm, the video‐mosaics display larger areas, ranging from 2 mm × 2 mm to 4 mm × 2 mm, with resolution, morphologic detail, and image quality that is preserved relative to that observed in the original videos (individual images). Video‐mosaics in healthy volunteers’ and the patients’ images showed cellular morphologic patterns in the lower epithelium and at the epithelial junction, and connective tissue along with capillary loops and blood flow in the deeper lamina propria. In OSCC, tumor nests could be observed along with normal looking mucosa in margin areas. Conclusions Video‐mosaicking is a reasonably quick and efficient approach for extending the field‐of‐view of RCM imaging, which can, to some extent, overcome the inherent limitation of an intraoral probe's small field‐of‐view. Reading video‐mosaics can mimic the procedure for examining pathology: initial visualization of the spatial cellular and morphologic patterns of the tumor and the spread of tumor margins over larger areas of the lesion, followed by digitally zooming (magnifying) for closer inspection of suspicious areas. However, faster processing of videos into video‐mosaics will be necessary, to allow examination of video‐mosaics in real‐time at the bedside. Lasers Surg. Med. 51:439–451, 2019. © 2019 Wiley Periodicals, Inc.

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“…Currently the group is currently finalizing data from a multicenter, phase 3 trial to validate their results [28] . While the laboratory results of examining tissue autofluorescence have shown significant promise in the discrimination of malignant tissues, actual application in clinical trials has been extremely variable in terms of specificity [29,72] .…”

Section: Tissue Auto Fluorescencementioning

confidence: 99%

How Close Are We to Real Time Optical Margin Control in Head and Neck Oncologic Surgery?

Miles

2016

Cancer Cell Microenviron

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The quest for negative margins during head and neck oncologic surgery continues to challenge surgeons worldwide. Current technological advances offer significant promise to advance the field and improve operative margin detection. This review focuses on current optical technology, which has been evaluated for intraoperative margin control in head and neck oncologic surgery. Many of the current systems have technical limitations and there is no current standard technology being applied in the field of head and neck oncology to enhance intraoperative margin control. Surgeons continue to rely on intraoperative frozen section analysis, however many optical systems have shown high rates of sensitivity and specificity when discriminating benign from malignant tissue. These technologies shows significant promise for intraoperative margin control and may be enhanced by targeted molecular imaging, or spectral analysis, in the future. Translational trials are rare and are the key to the path of independence from frozen section analysis.

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Efficacy of light based detection systems for early detection of oral cancer and oral potentially malignant disorders: Systematic review

Cited by 63 publications

References 28 publications

Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis

Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis

Feasibility of a Video‐Mosaicking Approach to Extend the Field‐of‐View For Reflectance Confocal Microscopy in the Oral Cavity In Vivo

How Close Are We to Real Time Optical Margin Control in Head and Neck Oncologic Surgery?

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