MR Imaging and Proton MR Spectroscopy of the Brain in Behçet's Disease
Bibliographic record
Abstract
Cerebral MR imaging (MR) and proton-MR spectroscopy (H-MRS) data are lacking in neurologically asymptomatic patients with Behçet's disease (BD). Aim of the following work was to assess MR and H-MRS characteristics of brain involvement over time in patients with BD without clinical neurological involvement. Forty cerebral MR and 12 H-MRS examinations obtained over a one to nine year follow-up in 17 patients with (group A n=9) or without (group B n=8) neurological involvement were retrospectively reviewed. Four group-B patients had a normal first MR examination whereas all group-A and four group-B patients showed single (n?3) or multiple (n=10) subcortical white matter foci of signal change. Large midbrain, basal ganglia or subcortical white matter lesions were depicted in six group-A patients. Comparison between initial and last MR examinations revealed 28 new small-to-medium size lesions. Over the course of the study, lesion enhancement was seen in five patients all belonging to group A. NAA/Cr and Cho/Cr ratios of supraventricular white matter did not show significant differences between patients and healthy controls or between group-A and group-B patients. Clinically silent cerebral involvement in the form of small-to-medium size subcortical lesions may be present at MR examination in BD patients. Large brainstem and basal ganglia lesions associated with overt neurological symptoms are characteristic of the disease. H-MRS of cerebral normal-appearing white matter does not show any significant metabolic change in BD.
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 | 0.000 | 0.001 |
| 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".