Indocyanin Green Videoangiography Study of Hemangioblastomas
Bibliographic record
Abstract
OBJECTIVE: We present herein the intraoperative indocyanin green videoangiography (ICGVAG) findings for three cases of cerebellar hemangioblastoma (HB). CASES: Cerebellar HB was detected in three patients presenting with symptoms of vertigo and/or headaches and diagnosed on the basis of preoperative magnetic resonance imaging (MRI) and cerebral angiographic findings. Preoperative embolization of the tumor feeding artery was not performed in any of the patients. None of the patients underwent any procedure prior to ICGVAG that would affect the ICG findings, such as perilesional hemostatic coagulation or ablation. In each patient, it was possible to judge the approximate location of the tumor in relation to the brain surface and to distinguish the feeding and draining vessels. Following resection of the tumor, ICGVAG images confirmed that the mural nodule had been eliminated. None of the patients required blood transfusion, either during or after the surgery. For each patient, the lesion was pathologically confirmed as HB, postoperative contrast-enhanced MRI confirmed the absence of residual tumor, and diffusion-weighted MRI revealed no ischemic changes. RESULTS: Differentiation of feeding and draining vessels in the region of the lesion is particularly important for successful surgical removal of HB. In the present three patients, ICGVAG findings enabled easy vascular differentiation and were also useful for confirming that there was no residual tumor. Indocyanin green videoangiography was concluded to be useful for safe resection of HB.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".