An International Radiosurgery Research Foundation Multicenter Retrospective Study of Gamma Ventral Capsulotomy for Obsessive Compulsive Disorder
Bibliographic record
Abstract
BACKGROUND: Obsessive compulsive disorder (OCD) across its full spectrum of severity is a psychiatric illness affecting ∼2% to 3% of the general population and results in significant functional impairment. There are few large patient series regarding Gamma ventral capsulotomy (GVC). OBJECTIVE: To evaluate clinical outcomes of severe medically refractory OCD treated with GVC. METHODS: This is an international, multicenter, retrospective cohort study. Forty patients with pre-GVC Yale-Brown Obsessive Compulsive Scale (Y-BOCS) scores ≥ 24 (indicating severe OCD) were included. GVC was performed with 1 or 2 isocenters with a median maximum dose of 135 Gy (range, 120-180 Gy). Patients were deemed "responders" to GVC if there was ≥35% reduction of follow-up Y-BOCS scores, and considered in remission if their Y-BOCS scores were ≤16. The median follow-up was 36 mo (range, 6-96 mo). RESULTS: The median pre-SRS Y-BOCS score was 35 (range, 24-40). Eighteen patients (45%) were considered "responders," and 16 (40%) of them were in remission at their last follow-up. Nineteen patients (47.5%) remained stable with Y-BOCS of 33 (range, 26-36) following GVC, whereas 3 patients (7.5%) experienced worsening in Y-BOCS scores. Patients treated with 2 isocenters were more likely to have improvement in Y-BOCS score at 3 and 5 yr (P < .0005). Ten patients (25%) experienced post-GVC mood disturbance and neurological complications in 3 patients (7.5%). One patient developed radiation necrosis with edema that improved with steroids. CONCLUSION: GVC serves as a reasonable treatment strategy for severe medical refractory OCD. Patients treated with 2 isocenters were more likely to have substantial improvement in OCD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".