Discriminant analysis of autofluorescence spectra for classification of oral lesions in vivo

Jayanthi, J.L.; Mallia, Rupananda J.; Shiny, Sara Thomas; Baiju, Kamalsanan V.; Mathews, Anitha; Kumar, Rejnish; Stolzmann, Paul; Madhavan, Jayaprakash; Aparna, G.N.; Subhash, Narayanan

doi:10.1002/lsm.20771

Cited by 40 publications

(32 citation statements)

References 25 publications

(37 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In parallel, optical methods were introduced to improve the differentiation between precancerous and cancerous lesions and normal tissues . Clinical studies have been performed using macroscopic fluorescence imaging from endogenously and exogenously induced fluorophores or using spectroscopic methods . Over the last decade, confocal microscopy has been adapted to the in vivo imaging of suspicious tissues at the cellular level with probe‐based confocal laser endomicroscopy (pCLE) .…”

Section: Introductionmentioning

confidence: 99%

Red and far‐red fluorescent dyes for the characterization of head and neck cancer at the cellular level

Abbaci

Casiraghi

Temam

et al. 2015

J Oral Pathology Medicine

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Red and far‐red fluorescent dyes for the characterization of head and neck cancer at the cellular level

Abbaci

Casiraghi

Temam

et al. 2015

J Oral Pathology Medicine

View full text Add to dashboard Cite

show abstract

“…DR spectra were preprocessed to minimise interpatient variation by normalising each spectrum to its peak spectral intensity 16. A PCA was performed on the normalised spectral data of all subjects for dimensional reduction without losing much information provided by the original normalised spectral data set.…”

Section: Methodsmentioning

confidence: 99%

Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity

et al. 2011

View full text Add to dashboard Cite

BackgroundStrong proof-of-principle for utilisation of diffuse reflectance spectroscopy, a non-invasive tool for early detection of malignant changes, has emerged recently. The potential of this technique in distinguishing normal tissue from hyperplastic and dysplastic tissues was explored.MethodsDiffuse reflectance (DR) spectra in the 400–700 nm region were obtained from the buccal mucosa of 96 patients and 34 healthy volunteers. The DR spectral data were compared against the gold standard biopsy and histopathology results. A principal-component analysis was performed for dimensional reduction in the normalised spectral data with linear discriminant analysis as the classifying technique. The receiver operator characteristic curve technique was employed for evaluating the performance of the diagnostic test.ResultsDR spectral features for different lesions, such as normal/healthy, hyperplastic, dysplastic and squamous cell carcinoma (SCC), varied significantly according to the intensity of oxygenated haemoglobin absorption. While the classification based on discriminant scores provided an overall sensitivity of 98.5% and specificity of 96.0% for distinguishing SCC from dysplasia, they were 100.0% and 95.0%, respectively, for distinguishing dysplasia from hyperplasia. Similarly, the analysis yielded a sensitivity of 95.0% and specificity of 100.0% for distinguishing hyperplasia from healthy tissue. The areas under the receiver operator characteristic curves were 0.98 (95% CI 0.95 to 1.00) and 0.95 (95% CI 0.90 to 1.00) for distinguishing dysplasia from SCC and hyperplasia from dysplasia, respectively.ConclusionDR spectral data efficiently discriminate healthy tissue from oral malignant lesions. Diagnostic accuracies obtained in this study highlight the potential use of this method for routine clinical practice.

show abstract

“…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].…”

Section: Résultatsunclassified

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

View full text Add to dashboard Cite

Discriminant analysis of autofluorescence spectra for classification of oral lesions in vivo

Abstract: The application of LDA-LOO method on the autofluorescence spectra recorded during a clinical trial in patients was found suitable to discriminate oral mucosal alterations during tissue transformation towards malignancy with improved diagnostic accuracies.

Cited by 40 publications

References 25 publications

Red and far‐red fluorescent dyes for the characterization of head and neck cancer at the cellular level

Red and far‐red fluorescent dyes for the characterization of head and neck cancer at the cellular level

Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity

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

Contact Info

Product

Resources

About