P-247INTRAOPERATIVE NEAR-INFRARED IMAGING CAN DISTINGUISH TUMOUR IN ANTERIOR MEDIASTINUM FROM NORMAL TISSUE
Bibliographic record
Abstract
Objectives: For anterior mediastinum tumours such as thymoma and thymic carcinoma, the completeness of resection is the most important predictor of outcome. The margin of the tumour and small seeding metastasis lesions can be obscure in conventional white light thoracoscopic surgeries. The purpose of this study was to evaluate the feasibility and safety of near-infrared (NIR) imaging technology in identifying the tumour margins and metastasis nodules of anterior mediastinum tumours. Methods: Six patients with masses in the anterior mediastinum were injected intravenously with 4 or 5 mg/kg indocyanine green (ICG) 18-26 hours prior to surgery. Two NIR thoracoscopic platforms, PinPoint technology (Novadaq, Canada) and D-light P thoracoscope (KARL STORZ GmbH & Co, Germany) were used to detect near-infrared fluorescent light during surgery. NIR thoracoscopes were used to identify the tumour margin and to thoroughly explore the thoracic cavity for seeding metastasis lesions. Images and videos were retrieved. The ImageJ software was used to objectively evaluate the fluorescence intensity. Results: The median tumour size was 6.56 cm (range 5.0–8.0 cm) on preoperative imaging. All patients underwent video-assisted thoracoscopic tumour resection except one biopsy. The pathology diagnosis were type B1 thymoma for two patients, thymic carcinoma for two patients, one type AB thymoma, and one mature teratoma. All the tumours were fluorescent under laser excitation, with a mean signal-to-background ratio of 6.27. The tumours were clearly distinguished from non-tumour tissue in all patients. In addition, two metastasis nodules of one thymic carcinoma on the pulmonary pleura and pleural effusion of teratoma were also fluorescent. No ICG related complication was observed. Conclusion: NIR imaging with prior injection of ICG can safely provide excellent tissue contrast and distinguish tumour in anterior mediastinum from normal tissues, which facilitates the completely resection of tumours. Disclosure: No significant relationships.
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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 | 0.001 |
| 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 | 0.000 |
| 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".