Indocyanine green-assisted endoscopic endonasal resection of an olfactory groove meningioma with vascular involvement
Bibliographic record
Abstract
Background: Olfactory groove meningiomas are complex anterior skull base tumors representing approximately 10% of intracranial meningiomas. These tumors may involve critical structures, including the frontal lobes, optic nerves, and anterior cerebral arteries. The endoscopic endonasal approach offers direct access to the tumor, enabling early devascularization and optic canal decompression while minimizing brain retraction. However, lateral extension into the optic canals and vascular involvement remain major challenges requiring careful intraoperative management. Intraoperative indocyanine green (ICG) angiography is a valuable adjunct to safely navigate tumors involving vascular structures. Case Description: We present the case of a 52-year-old female with a large olfactory groove meningioma causing anosmia, blurred vision in the right eye, memory loss, apathy, and personality changes. The lesion was associated with extensive bifrontal vasogenic edema and involved cortical branches of the A2 segment of the anterior cerebral arteries. The endonasal endoscopic approach was selected to allow early optic canal decompression, early tumor devascularization, and potential complete resection. In the immediate postoperative period, the patient experienced transient worsening of the right eye vision without other complications. A lumbar drain was maintained for 3 days, and the patient was discharged on postoperative day 5. At 3-month follow-up, visual function improved, and cognitive and memory functions recovered significantly. Postoperative magnetic resonance imaging demonstrated gross-total resection except for a small remnant of infiltrated dura near the right optic canal. Pathology confirmed a World Health Organization grade I meningioma. Conclusion: The integration of microsurgical techniques with ICG angiography proved beneficial, improving vascular visualization and guiding surgical decision-making.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".