SURG-23. INTRAPARENCHYMAL MUCOSA-ASSOCIATED LYMPHOID TISSUE (MALT) LYMPHOMA: A NOVEL DISEASE PRESENTATION
Bibliographic record
Abstract
Abstract INTRODUCTION Low grade B-cell lymphomas arising from the marginal zone of secondary lymphatic follicles constitute less than 10% of lymphomas. This condition was initially described in the stomach and the nasopharynx. However, there have been several reports of isolated dural-based intracranial lesions. METHODS A review of the literature using the EMBASE and MEDLINE databases yielded 12 previous cases of dural MALT lymphomas but none that were entirely intra-parenchymal. RESULTS Here, we present the case of a 67 year male who was found to have a convexity meningioma; and another, intra-parenchymal, lesion with radiologic features consistent with a low grade glial tumor. Upon resection of both lesions, the intra-axial tumor was found to be a mucosa-associated lymphoid tissue lymphoma. He has subsequently been referred for initiation of needing adjuvant therapies. CONCLUSIONS In addition to posing challenges for radiologic diagnosis, this case presents questions regarding the oncologic management of MALT lesions in the brain.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".