P.108 Diffuse large B-cell Lymphoma secondary to iatrogenic immunosuppression with unusual MRI findings and literature review
Bibliographic record
Abstract
Background: Immunosuppressive therapy is a risk factor for lymphoproliferative disorders. We present a case of primary CNS B-cell lymphoma in the setting of iatrogenic immunosuppression from azathioprine usage. A literature review is provided. Methods: Case report Results: 64-year-old male presents with several weeks of cognitive decline, impaired speech, and headache with a history of ulcerative colitis (on azathioprine and 5-ASA) with no radiological evidence of systemic malignancy. MR showed left frontal extra-axial mass (4.0 x 2.4 x 4.0 cm) with heterogeneous enhancement of a solid component with local dural thickening. The enhancing mass had solid and cystic components. Radiological differential included dural metastasis, atypical meningioma or unusual intra-axial mass including GBM with some dural involvement. He underwent surgical resection, which showed a primary CNS lymphoma, diffuse large B-cell, CD 20 + and EBV +. Post-operatively his cognition improved. Azathioprine was stopped and 5-ASA was increased. He proceeded with MPVC (methotrexate, procarbazine, vincristine, and cytarabine) chemotherapy. Conclusions: Our case shows isolated extra-nodal CNS manifestation of lymphoma in the context of immunosuppressive medications with strikingly atypical MR findings leading to a pre-operative diagnostic dilemma. Treatment is challenging and needs to be individually tailored due to a need for stopping immunosuppressive agents in conjunction with CNS lymphoma treatment.
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 | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".