Usefulness of Magnetic Resonance Spectroscopy in the Assessment of Brain Chagas Disease: A Case Report
Bibliographic record
Abstract
Chagas disease, or American trypanosomiasis, is a parasitic infection caused by the flagellate protozoan Trypanosoma cruzi, an organism that is endemic to Latin America. While Chagas disease is primarily a vector-borne illness, new cases are emerging in non-endemic areas due to globalization of immigration and non-vectorial transmission routes. Once the infection has started, the main target organs are the heart, the alimentary tract, and the nervous system. However in immunosupressed patients, focal encephalitis due to T. cruzi infection may occur which tends to acquire a necrotizing feature with mass effect, perilesional edema, and pseudotumoral form (CTLAT, “cerebral tumor-like American trypanosomiasis”). In recent years, a few reports have described HIV-positive patients with central nervous system lesions due to Chagas disease. Here we report the clinical, neuroimaging, and histopathological findings of a patient with CTLAT and acquired immunodeficiency syndrome. To our knowledge, this is the first report in literature of the metabolite pattern assessed by magnetic resonance spectroscopy in these lesions. doi: http://dx.doi.org/10.4021/jnr237w
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.006 |
| 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".