Fractionated Stereotactic Radiation for Central Nervous System Lymphoma: Retrospective Analysis of Initial Cases
Bibliographic record
Abstract
Primary central nervous system lymphoma (PCNSL) is primarily treated with combination chemotherapy, while whole-brain radiotherapy (WBRT) can be used as consolidative treatment or as a salvage option for central nervous system (CNS) relapse. We investigated whether fractionated stereotactic radiosurgery (fSRS) could replace WBRT in cases where patients had poor performance status or minimal disease at the time of consolidation, to spare patients the adverse effects of WBRT. We retrospectively identified 10 patients who completed 14 courses of fSRS for PCNSL or for CNS relapse of systemic lymphoma. Of 14 fSRS treatments, there were 10 distant brain recurrences among 6 patients, occurring on average 13.6 months after fSRS. A total of 4 of the 10 recurrences were treated with further fSRS, and 4 were treated with WBRT. There was one late in-field recurrence after both fSRS and WBRT, which occurred 27 months after fSRS. The median survival after fSRS was 36 months, and side effects after fSRS were minimal. This case series represents a potential treatment option for patients with CNS lymphoma, for whom WBRT is indicated but where the toxic effects of this treatment would be prohibitive.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".