Clinical grading of oral mucosa by curve‐fitting of corrected autofluorescence using diffuse reflectance spectra

Mallia, Rupananda J.; Subhash, Narayanan; Mathews, Anitha; Kumar, Rejnish; Thomas, Shiny Sara; Stolzmann, Paul; Madhavan, Jayaprakash

doi:10.1002/hed.21251

Cited by 23 publications

(26 citation statements)

References 52 publications

(66 reference statements)

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“…A laptop computer working with the SOLIS program (Andor Technology, UK) controlled the image acquisition parameters, recorded the images sequentially at 545 and 575 nm and computed the ratio image (R545/R575) arithmetically. The spatial distribution of the image ratio R545/R575 of the lesion was displayed as a Pseudo Color Map (PCM) according to the ratio value of each pixel in the image and based on cut-off values derived from our previous studies [11-14] with a point monitoring system. Thus, PCM classified the oral lesion into blue (healthy tissue), red (dysplastic/ pre-malignant) and yellow (malignant tissue) colors, thereby providing a visual discerning capacity to the eye in differentiating oral lesions [19] and identifying regions with maximum potential to show dysplastic characteristics and invasion.…”

Section: Methodsmentioning

confidence: 99%

“…Diffusely reflected (DR) white light spectra were also studied by various groups [8,9] for tissue differentiation in oral cavity. Several multi-centric clinical studies established the effectiveness of optical spectroscopy techniques for non-invasive detection of oral malignancies with good diagnostic accuracies [10-14]. However, they are point monitoring systems that analyse the tissue characteristics at a particular point in the entire area of an oral lesion.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic accuracy of diffuse reflectance imaging for early detection of pre-malignant and malignant changes in the oral cavity: a feasibility study

et al. 2013

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BackgroundDiffusely reflected light is influenced by cytologic and morphologic changes that take place during tissue transformation, such as, nuclear changes, extracellular matrix structure and composition as well as blood flow. Albeit with varying degree of sensitivity and specificity, the properties of diffusely reflected light in discriminating a variety of oral lesions have been demonstrated by our group in multiple studies using point monitoring systems. However, the point monitoring system could not identify the region with the most malignant potential in a single sitting.MethodsIn order to scan the entire lesion, we developed a multi-spectral imaging camera system that records diffuse reflectance (DR) images of the oral lesion at 545 and 575 nm with white light illumination. The diagnostic accuracy of the system for 2-dimensional DR imaging of pre-malignant and malignant changes in the oral cavity was evaluated through a clinical study in 55 patients and 23 healthy volunteers. The DR imaging data were compared with gold standard tissue biopsy and histopathology results.ResultsIn total 106- normal/clinically healthy sites, 20- pre-malignant and 29- malignant (SCC) sites were compared. While the median pixel value of the R545/R575 image ratio for normal/clinically healthy tissue was 0.87 (IQR = 0.82-0.94), they were 1.35 (IQR = 1.13-1.67) and 2.44 (IQR = 1.78-3.80) for pre-malignant and malignant lesions, respectively. Area under the ROC curve to differentiate malignant from normal/clinically healthy [AUC = 0.99 (95% CI: 0.99-1.00)], pre-malignant from normal/clinically healthy [AUC = 0.94 (95% CI: 0.86-1.00)], malignant from pre-malignant [AUC = 0.84 (95% CI: 0.73-0.95)] and pre-malignant and malignant from normal/clinically healthy [AUC = 0.97 (95% CI: 0.94-1.00)] lesions were desirable.ConclusionWe find DR imaging to be very effective as a screening tool in locating the potentially malignant areas of oral lesions with relatively good diagnostic accuracy while comparing it to the gold standard histopathology.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnostic accuracy of diffuse reflectance imaging for early detection of pre-malignant and malignant changes in the oral cavity: a feasibility study

et al. 2013

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“…New research utilizing imaging characteristics of endoscopically acquired images may play a future role in detecting nasal pathology. Preliminary data utilizing hue and textural parameters have been shown to identify patients with chronic laryngitis [14][15][16]. It is postulated that similar technology may be able to discern sinonasal mucosal disease in the future.…”

Section: Future Developmentsmentioning

confidence: 97%

Role of Rhinopharyngoscopy in Diagnosis of Rhinopathies

Tajudeen

Suh

2015

Curr Allergy Asthma Rep

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Rhinopathies, or diseases of the sinonasal cavity, are a heterogeneous group of disorders ranging from benign entities to malignant processes. Proper evaluation and treatment of rhinopathies are dependent on accurate visualization and characterization of the disease processes. Prior methods of evaluation of the sinonasal cavity were dependent largely on anterior rhinoscopy, which unfortunately provides poor visualization of the superior, posterior, and lateral extent of the sinonasal cavity. With the advent of high-definition flexible and rigid endoscopes, rhinopharyngoscopy has proven to be a critical component in the evaluation of the sinonasal cavity. Here, we discuss rhinopharyngoscopy with emphasis on technique and evaluation of common rhinopathies and future developments.

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“…L'AF a été visualisée par spectroscopie [1][2][3][4][5][6][7][8][9][10][11][12] ou directement (à l'oeil nu) [13][14][15][16][17][18][19][20][21][22][23].…”

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L’autofluorescence pour le diagnostic des cancers et lésions potentiellement malignes de la muqueuse buccale

Fricain

2011

Revue de Stomatologie et de Chirurgie Maxillo-faciale

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Clinical grading of oral mucosa by curve‐fitting of corrected autofluorescence using diffuse reflectance spectra

Abstract: The LIAF/DR technique, in conjunction with curve-fitting, differentiates different grades of dysplasia and SCC in this clinical trial and proves its potential for early detection of oral cavity cancer and tissue grading.

Cited by 23 publications

References 52 publications

Diagnostic accuracy of diffuse reflectance imaging for early detection of pre-malignant and malignant changes in the oral cavity: a feasibility study

Diagnostic accuracy of diffuse reflectance imaging for early detection of pre-malignant and malignant changes in the oral cavity: a feasibility study

Role of Rhinopharyngoscopy in Diagnosis of Rhinopathies

L’autofluorescence pour le diagnostic des cancers et lésions potentiellement malignes de la muqueuse buccale

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