Endobronchial Cancer Detection Using an Integrated Bronchoscopy System for Simultaneous Imaging and Noncontact Spectral Measurement
Bibliographic record
Abstract
INTRODUCTION: Quantitative spectroscopy has been proposed as a means of improving the specificity of autofluorescence bronchoscopy by discriminating between true malignancy and suspicious but benign lesions before biopsy. This study investigated the potential discrimination ability of microvascular tissue-related parameters and relative intensity of autofluorescence, as estimated by noncontact spectroscopy. METHODS: Patients undergoing bronchoscopy for suspicion of lung cancer were enrolled from 4 sites (Canada, Russia, Slovenia, and the United Kingdom). In lesions selected for biopsy, light from a special fiberoptic bronchoscope was diverted to a spectrophotometer to obtain spectral measurements. The mucosa blood volume fraction and oxygen saturation were estimated from the computer model and, along with the autofluorescence intensity, were analyzed for discrimination potential for severe dysplasia or worse against lower histology grades. RESULTS: A total of 485 patients were enrolled, from whom 352 suspicious, adequate biopsy specimens were collected. Of these, 8 specimens were severe dysplasia or carcinoma in situ, and 66 were cancer. All measures were found to be significantly altered (receiver operating characteristic curve area: 0.83, 0.74, and 0.80 for autofluorescence intensity, the blood volume fraction, and oxygen saturation, respectively) in lesions found by biopsy to have severe dysplasia or higher grade present. In addition, the estimated volume fraction of desaturated blood was found to be significantly more discriminatory than that of oxygen-saturated blood (receiver operating characteristic curve area: 0.83 vs. 0.63). Study center differences were evident and suggest that results may depend on study population or bronchoscopist experience. CONCLUSIONS: Noncontact measurement and estimation of the above microvascular-related parameters, obtained during regular bronchoscope examination, may have potential for improving discrimination of severe dysplasia and cancer in lesions suspicious under white light bronchoscopy/autofluorescence bronchoscopy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".