Abstract PR-05: Alterations in tissue autofluorescence using spectroscopy in high-risk oral lesions
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".