The Central Anatomical Question: Treatment of Lymphoma Within Border-Zone Anatomical Sites Adjacent to the Central Nervous System
Bibliographic record
Abstract
Lymphomas involving the central nervous system (CNS) have worse outcomes, including both primary and secondary CNS lymphomas, which are associated with poorer overall survival outcomes. The World Health Organization classifies CNS lymphoma as arising from the brain, leptomeninges, and spinal cord, but this simplified CNS anatomical definition fails to incorporate areas of ambiguity that can be clinically relevant for treatment decision making. In this article, we review the anatomical boundaries of CNS lymphoma within select border-zone biological structures located at the CNS borders in order to gain a consensus working definition of CNS disease boundaries. We review anatomical localizations with border-zone CNS boundaries, including the dura, cavernous sinus, circumventricular organs, pituitary gland, and cranial nerves. Though some portions of the eye would be considered CNS and others extra-CNS, recommendations for this structure are outside the scope of this review. Through this review, we examine the impact of lymphomatous invasion on select CNS-bordering anatomical structures, aiming to better define treatment categorization as CNS or extra-CNS, with a focus on B cell lymphoma types.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".