Characterization and Magnetic Resonance Imaging of a Rat Model of Human B-Cell Central Nervous System Lymphoma
Bibliographic record
Abstract
PURPOSE: The incidence of primary central nervous system lymphoma (PCNSL) is increasing. Therapeutic approaches remain controversial. An animal model that mimics the clinical situation would be useful for evaluating PCNSL biology and treatment. EXPERIMENTAL DESIGN: Nude rats received intracerebral (caudate nucleus, n = 49) or intraventricular (n = 4) inoculation of human B-lymphoma cell line MC116. Two to five weeks after tumor inoculation, magnetic resonance imaging (MRI) was done (n = 24), and rat brains were assessed for pathology. Five rats each received whole-brain radiotherapy (WBRT, 20 Gy) or high-dose i.v. methotrexate (3 g/m2). RESULTS: Intracerebral tumors developed in 84% of evaluable animals with no pretreatment, 79% of rats pretreated with 4 Gy total body irradiation, and 92% of rats pretreated with cyclophosphamide (300 mg/m2). MRI showed abnormal T2 signal and gadolinium enhancement on T1-weighted images, consistent with tumor growth 19 to 24 days after inoculation. Tumor cells staining positively for B-lymphoma markers infiltrated within the inoculated hemisphere, along fiber tracks to the contralateral hemisphere, and along the subarachnoid space and ventricles. Tumors showed reactive gliosis. Intraventricular tumor cell injection resulted in periventricular parenchymal infiltration in both hemispheres. Radiation and methotrexate were effective in vitro, but only WBRT was clearly effective after 1 week in the intracerebral model. CONCLUSION: This model closely mimics human PCNSL in terms of imaging, histology, and treatment sensitivity and will be useful for the development of future therapeutic strategies for PCNSL.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".