GCT-24. ISOLATED PITUITARY STALK THICKENING
Bibliographic record
Abstract
Abstract BACKGROUND Few studies have examined predictive factors and outcome of isolated pituitary stalk thickening (iPST) in children. We aim to describe our institutional cohort to determine predictors of future proliferative disease. METHODS A search of the radiology, endocrinology and neuro-oncology databases was performed to identify patients with iPST diagnosed between January 2000 and June 2019. Clinical data was collected along with detailed radiology review of MRIs in a blinded fashion. RESULTS Forty-seven patients were identified, with 40 meeting criteria for inclusion. Median age of baseline MRI was 9.6 years (range 0.9-17.5). Twenty-five (63%) were female. Median follow up time was 5.2 years (range 0.3-18.6). Indication for MRI was symptoms of diabetes insipidus (DI) in 29 patients followed by concerns for anterior endocrine disturbance (6), headache (1) or visual impairment (1). Thirty-four (85%) subjects had pituitary dysfunction, including 31 with DI however DI was not predictive of future development of proliferative disease (69% with presumed hypophysitis vs 93% with proliferative disease, p=0.12). Fourteen (35%) patients developed proliferative disease, with germinoma (8), Langerhans cell histiocytosis (5) and lymphoma (1) at median of 1.3 years (range 0.3-4.0), 2.2 years (range 0.3-9.4) and 1.1 years after initial MRI respectively. Lumbar puncture was performed in 24 patients with elevated white blood cell count (>5 x 106/L) found in 6 (75%) patients with germinoma, 1 (100%) patient with lymphoma, 0 patients with LCH and 3 of 11 (27%) patients with presumed hypophysitis (p=0.015). Thickening of the entire stalk at time of diagnosis and radiographic progression were more likely to be seen in those that developed proliferative disease. CONCLUSION In this cohort 35% of children with PST were eventually diagnosed with a proliferative disease. Importantly, central DI was not associated with risk of proliferative disease. Several radiographic features and elevated CSF WBC were predictive of this outcome.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".