Zerebrale und spinale MRT-Untersuchung bei Patienten mit klinisch isoliertem Syndrom oder gesicherter Multipler Sklerose
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Magnetic resonance imaging (MRI) has become a valuable tool for diagnosing and monitoring multiple sclerosis (MS). The high sensitivity for the detection of hyperintense lesions in T 2-weighted scans contributes substantially to diagnosis. The initial lesion number or lesion volume stands for an increased probability of further accumulation of lesion burden, an earlier conversion to clinically definite MS and progression of disability in the next 5 - 15 years. This diagnostic and prognostic information gained from MRI early in the disease course lead in 2001 to a revision of the diagnostic criteria. MATERIALS AND METHODS: For the first time MRI criteria were defined in addition to the clinical and paraclinical criteria using the clinical terms for dissemination with respect to space and time. In particular, the defined MRI criteria are based on lesion number and location, the appearance of new lesions and lesion enhancement using contrast agent. RESULTS: Reliable detection and description of older and new lesions in the disease course by MRI represents subclinical disease activity which can substitute the clinical confirmation of a relapse leading to an earlier diagnosis. This places importance on the assessment of the subclinical disease activity in sequential MR scans requiring a standardized and reproducible approach to minimize variability despite different MR scanners. CONCLUSION: This review provides an updated proposal for the approach and management of cranial and spinal MR scans in patients with MS. We describe the influence of variables which cannot be standardized (scanner, field strength, manufacturer and software) and outline potential pitfalls of clinical MR imaging in MS resulting from a non-standardized approach. This updated proposal for slice positioning, sequences and documentation is a result of a consensus process targeting systematic and standardized use in clinical MR evaluations of MS.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.007 | 0.006 |
| Meta-epidemiology (broad) | 0.011 | 0.006 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.012 |
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 it