Expanded Endoscopic Endonasal Approach for Resection of Intradural Chordoma: Surgical and Anatomic Nuances: 2-Dimensional Operative Video
Bibliographic record
Abstract
The expanded endoscopic endonasal approach (EEA) has been growing as a surgical alternative for the treatment of clival chordomas because of their frequent midline location and bone erosion. The endoscopic transclival approach provides with a safer and more direct anatomic route for tumors located predominantly in the midline contributing to minimize postoperative comorbidities. In this video, we demonstrate the step-by-step technique for resection of such challenging clival pathology. This is an operative video of an extended endoscopic resection of a clival chordoma with stepwise description of the surgical technique. We present the case of a 49-yr-old man in whom, incidentally in the context of low testosterone level, a clival lesion with purely midline location with intradural extension into the ventral brainstem and occupation of the left cerebellopontine angle was discovered. The patient was submitted to an expanded endoscopic transclival approach and a macroscopic gross total resection was successfully achieved. The final pathology was compatible with a conventional chordoma. This video details the surgical anatomy of the clival region to facilitate the identification of surgical landmarks and anatomic boundaries with the goal of avoiding injury to the neurovascular structures involved in this approach. Extended endoscopic transclival surgery is a useful and safer option for the management of midline chordomas because it provides with a dissection corridor free of major neurovascular structures. Endoscopic techniques are associated with good outcomes in terms of macroscopic gross total resection and low surgical risks in these selected tumors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 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".