Brain parenchyma involvement as isolated central nervous system relapse of systemic non-Hodgkin lymphoma: an International Primary CNS Lymphoma Collaborative Group report
Bibliographic record
Abstract
Isolated central nervous system (CNS) relapse involving the brain parenchyma is a rare complication of systemic non-Hodgkin lymphoma. We retrospectively analyzed patient characteristics, management, and outcomes of this complication. After complete response to initial non-Hodgkin lymphoma treatment, patients with isolated CNS relapse with the brain parenchyma as initial relapse site were eligible. Patients with isolated CNS relapse involving only the cerebrospinal fluid were not eligible. Information on 113 patients was assembled from 13 investigators; 94 (83%) had diffuse large B-cell lymphoma. Median time to brain relapse was 1.8 years (range, 0.25-15.9 years). Brain relapse was identified by neuroimaging in all patients; in 54 (48%), diagnostic brain tumor specimen was obtained. Median overall survival from date of brain relapse was 1.6 years (95% confidence interval, 0.9-2.6 years); 26 (23%) have survived 3 years or more. Median time to progression was 1.0 year (95% confidence interval, 0.7-1.7 years). Age less than 60 years (P = .006) at relapse and methotrexate use (P = .008) as front-line treatment for brain relapse were significantly associated with longer survival in a multivariate model. Our results suggest systemic methotrexate is the optimal treatment for isolated CNS relapse involving the brain parenchyma. Long-term survival is possible in some patients.
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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 | 0.005 |
| 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) | 0.001 | 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".