Intravascular Lymphoma with Conus Medullaris Syndrome Followed by Encephalopathy
Bibliographic record
Abstract
BACKGROUND: Intravascular large cell lymphoma (ILCL) is a diagnostic challenge, with neurological, cutaneous and constitutional symptoms. The natural history is usually an evolution to a comatose state. As invasive procedures are usually required for diagnosis, recognizing the typical clinical pattern is critical since an effective treatment is available. METHOD: After an extensive literature review of the subject, we report a case of ILCL, analyzing clinical, laboratory, radiological and pathological data. We will also give a special attention to the clinical picture of a conus medullaris (CM) lesion with subsequent encephalopathy in the same patient, RESULTS: We report here a 61-year-old woman with a paraplegia caused by a CM lesion, evolving about one year latter to encephalopathy and eventual coma, with the diagnosis of ILCL confirmed by autopsy. The present case is similar to eight other cases in literature who had CM lesion associated with ILCL, knowing that 80-90% of these patients will eventually evolve to encephalopathy without treatment. CONCLUSIONS: ILCL is a recognized but rare cause of coma. Diagnosing it is tremendously important since it is fatal if left untreated. We propose that this specific picture (conus medullaris lesion, eventually evolving to encephalopathy) is quite characteristic and will directly result in better outcome if recognized.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".