Long-Term Outcomes of Endoscopic Third Ventricle Colloid Cyst Resection: Case Series With a Proposed Grading System
Bibliographic record
Abstract
BACKGROUND: Endoscopic resection of colloid cysts has gained recent widespread practice. However, reported complication and recurrence rates are variable, possibly, in part, because of a lack of consistency with reporting of the extent of cyst capsule removal. OBJECTIVE: To present the long-term outcomes of endoscopic resection of third ventricle colloid cysts without complete capsule removal and propose a grading system to allow consistent description of surgical outcomes. METHODS: A retrospective review of 74 patients who underwent endoscopic resection of symptomatic third ventricle colloid cysts between 1995 and 2018 was performed. Kaplan-Meier analyses were used to assess recurrence-free survival rates. RESULTS: Median patient age and cyst diameter were 48.0 (13.0-80.0) yr and 12.0 (5.0-27.0) mm, respectively. Complete emptying of cyst contents with capsule coagulation was achieved in 73 (98.6%) patients. All patients improved or remained stable postoperatively, with a median follow-up duration of 10.3 (0.3-23.7) yr. Radiographic recurrence occurred in 6 (8.1%) patients after their initial surgery, 5 (6.8%) of whom underwent redo endoscopic resection. No major complications or mortality was encountered at primary or recurrence surgery. CONCLUSION: Endoscopic resection of third ventricle colloid cysts without emphasizing complete capsule removal is a viable option for successfully treating colloid cysts of the third ventricle. Long-term follow-up demonstrates that it is associated with low risks of complications, morbidity, mortality, and recurrence. The proposed extent of the resection grading scheme will permit comparison between the different surgical approaches and facilitate the establishment of treatment guidelines for colloid cysts.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".