DIPG-56. BRAINSTEM TUMOR BIOPSY: A SINGLE INSTITUTE EXPERIENCE OF SAFETY AND FEASIBILITY IN A LOW-MIDDLE INCOME COUNTRY (LMIC)
Bibliographic record
Abstract
Abstract BACKGROUND Brainstem tumors account for 10-15% of all pediatric central nervous system tumors and carry a dismal prognosis. These include a wide spectrum of histological diagnosis therefore, in most specialized centers stereotactic biopsies for brainstem tumors are considered safe and standard practice. However, this approach continues to pose a challenge in LMIC’s. METHODS We retrospectively reviewed data of patients presenting with brainstem tumors at Aga Khan University Hospital, Pakistan, between 2014 and 2023. In addition to histopathological analysis, whole-genome sequencing and RNA sequencing were also performed on 6 tumors. RESULTS We identified 39 patients with brainstem tumors; amongst these 56.4% were females. Median age at diagnosis was 9 years (IQR: 5.1-11). Most cases presented with walking difficulty (74%) and cranial nerve palsies (46%). Median duration of symptoms was 30 days (IQR: 20-60). On imaging large proportion were intrinsic pontine tumors (53.8%) followed by brainstem (30.8%) and cerebellopontine angle (15.4%). 21 patients underwent stereotactic biopsy with 86% performed after 2016. 43% were intrinsic pontine tumors. Histopathology analysis showed a wide spectrum with diffuse midline glioma in 28% of cases, pilocytic astrocytoma, anaplastic astrocytoma and ganglioglioma in 33%, 14% and 9% of cases respectively. Rare entities identified included embryonal tumor with multilayered rosettes, atypical teratoid rhabdoid tumor and schwannoma (5%). Biopsies were uneventful in 81% of cases. Complication of biopsy in 2 patients included cranial nerve palsy and subdural hemorrhage. No patient died due to complications of biopsy. Surgical and medical management was altered in 9 patients due to availability of histological diagnosis. CONCLUSIONS We present the first study demonstrating safety and feasibility of stereotactic biopsy for brainstem tumors in LMIC. These biopsies should be considered for atypical brainstem tumors and should be performed in well-equipped tertiary neurosurgical facilities by trained neurosurgeons in LMIC.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".