Diffuse reflectance spectroscopy: diagnostic accuracy of a non-invasive screening technique for early detection of malignant changes in the oral cavity
| Autor: | S Manju, Kamalasanan Vijayakumary Baiju, Narayanan Subhash, G U Nisha, VT Beena, Jayaraj L. Jayanthi, Panniyammakal Jeemon, E K Philip |
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| Rok vydání: | 2011 |
| Předmět: |
oral lesions classification
medicine.medical_specialty Pathology Diffuse reflectance infrared fourier transform Dentistry and Oral Medicine ROC curves hepatobiliary tumours 01 natural sciences 010309 optics 03 medical and health sciences 0302 clinical medicine diagnostic performance discriminant scores 0103 physical sciences Biopsy Diffuse reflectance spectroscopy lipid disorders medicine principal components cardiac epidemiology Receiver operating characteristic medicine.diagnostic_test business.industry Research diabetes and endocrinology General Medicine Gold standard (test) Hyperplasia Linear discriminant analysis medicine.disease 3. Good health Dysplasia 030220 oncology & carcinogenesis adult oncology epidemiology Histopathology business Nuclear medicine |
| Zdroj: | BMJ Open |
| ISSN: | 2044-6055 |
| Popis: | Background Strong 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. Methods Diffuse 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. Results DR 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. Conclusion DR 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. Article summary Article focus Diffuse reflectance spectroscopy in early detection of oral cancer. Discriminatory capacity of diffuse reflectance spectral data to differentiate normal tissue from pre-malignant and malignant tissues. Key messages Diffuse reflectance spectral data efficiently discriminate healthy tissue from oral premalignant and malignant lesions. Linear discriminant analysis using leave-one-out method of cross validation on the principal components of spectral data provides improved diagnostic accuracies. The study results highlight the potential use of this method for oral cancer screening in routine clinical practice. Strengths and limitations of this study Non-invasive technique for oral cancer screening with relatively good sensitivity and specificity. Real-time data aid in quick decision making and no requirement for massive additional resources and specialised staff for screening. This study is limited to buccal lesions. An independent study covering all sites on a larger population is useful for utilisation of this technique for mass screening applications. |
| Databáze: | OpenAIRE |
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