Abstract PR-05: Alterations in tissue autofluorescence using spectroscopy in high-risk oral lesions
Notice bibliographique
Résumé
Abstract High-risk oral lesions can be sometimes difficult to discriminate from reactive oral lesions, which are commonly seen within community settings. New tools need to be developed to aid in screening and early detection of high-risk lesions. The assessment of alteration in tissue autofluorescence using spectroscopy has demonstrated promising results in distinguishing cancerous from normal tissue at many organs and sites; however, there is limited information on its usage to distinguish reactive lesions (as seen by both white-light and autofluoescence imaging) from cancerous/precancerous lesions. Objectives of this study are: 1) to collect autofluorescence spectra from normal mucosa, mucosa with high-risk histological change and those with chronic inflammation under different excitation wavelengths of light, and 2) to compare the change in tissue autofluorescence in different exciting wavelengths among these oral mucosal lesions. Methods: Patients with high-risk oral lesions and inflammatory conditions were recruited from the Dysplasia Clinics of the BC Oral Cancer Prevention Program. Spectroscopic measurements were taken using a fiber optic probe of a Remiscope (Remicalm, LLC; Houston, TX). Three excitation wavelengths were used: 436 nm, 405 nm, and 355 nm. Percent loss of peak emission intensity (%PEI) was measured by comparing the PEI of the lesional and contralateral normal areas. Differences in %PEI between groups were compared using unpaired t-test. Results: From June to September 2009, 102 spectroscopic measurements were recorded from 17 patients (cancer, 5; dysplasia, 6; inflammation, 6). Among these, loss of tissue autofluorescence under 436 nm, 405 nm, and 355 nm was observed in all cases. When comparing the %PEI between cancer and dysplasia groups, increased loss was seen in the cancer group at all three excitation wavelengths, especially under 355 nm and 405 nm excitations (P = 0.023 and 0.045 respectively). When comparing to the inflammation group, there is almost the same degree of loss observed between cancer and inflammation groups in all 3 excitation wavelengths. Interestingly, there is a significant difference in %PEI observed between dysplasia and inflammation group under 436 nm and 355 nm excitations (P = 0.005 and 0.022 respectively) but no statistical difference under 405 nm excitation. Conclusions: This is the first study to use 3 different excitation wavelengths of light to examine the spectra of oral cancerous, precancerous, and specifically inflammatory oral lesions (as seen by both white-light and autofluoescence imaging). This device has shown its potential to provide an objective, sensitive approach to distinguish precancers from those commonly seen within community settings caused by chronic inflammation. (Supported by grant R01 DE17013 from the National Institute of Dental and Craniofacial Research and grant CCSRI-20336 from Canadian Cancer Society Research Institute. CFP is supported by a Clinician Scientist Award from the Canadian Institutes of Health Research and a Scholar Award from the Michael Smith Foundation for Health Research). Citation Information: Cancer Prev Res 2010;3(1 Suppl):PR-05.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».