Safety of Cerebral Intra-Arterial Chemotherapy for the Treatment of Malignant Brain Tumours
Bibliographic record
Abstract
Background: Cerebral intra-arterial chemotherapy (CIAC) has been demonstrated to achieve tumoricidal concentrations in cerebral tumour cells that are otherwise unachievable due to the presence of the blood–brain barrier. In this study, we sought to analyze the safety of CIAC in a cohort of patients treated at the Centre intégré universitaire de santé et de services sociaux de l’Estrie—Centre hospitalier universitaire de Sherbrooke (CIUSSS-CHUS). Methods: Treatments consisted of monthly CIAC. A neurological examination and neuroimaging study (MRI) were performed before every treatment. The files of patients enrolled in our CIAC programme were reviewed. Adverse events were analyzed and categorized. Results: Overall, 2991 CIAC procedures were performed in 642 patients. Pathologies were as follows: malignant gliomas (68.7%), cerebral metastasis (17.6%), and cerebral lymphomas (13.7%). Perfusion vessels were as follows: 80% internal carotid artery and 20% vertebral artery. The chemotherapeutic agents used were carboplatin (86.4%), methotrexate (28.5%), melphalan (28.6%), and liposomal doxorubicin (2.8%). Osmotic blood–brain barrier disruption (BBBD) was induced in 30.5% of treatments. Symptomatic vascular adverse events occurred during 27 procedures (0.9%) in 26 patients (4%). Namely, 23 strokes, one carotid artery occlusion (responsible for one of the strokes), and two intratumoral and one subdural hemorrhage. The absolute risk of stroke was 1.3% and 0.5% for CIAC with or without BBBD, respectively. The use of the vertebral artery significantly increased the risk of stroke. Drug infusion-related seizures occurred in 2.5% of patients; 83.8% were associated with methotrexate and 16.2% with carboplatin. Conclusions: CIAC is a safe procedure with a 0.9% overall rate of symptomatic complications (stroke, carotid occlusion, subdural hemorrhage or intratumoral bleeding—n = 27/2991) on a treatment basis, mainly consisting of strokes (85%, n = 23), with a modified NIH Stroke Scale score of 4.1 ± 3.3.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".