Does 7 T MRI offer an added value in drug resistant temporal lobe epilepsy?
Bibliographic record
Abstract
PURPOSE: To evaluate the added value of 7 Tesla (T) magnetic resonance imaging (MRI) in the presurgical assessment of patients with temporal lobe epilepsy (TLE), considering its overall impact on clinical decision-making, including both MRI-positive and MRI-negative cases, and its timing during the evaluation process. METHODS: Sixty-one patients with drug-resistant TLE, enrolled in this study underwent both 3 T and 7 T MRI, along with other diagnostic assessments (video electroencephalography, positron emission tomography, stereo electroencephalography). Patients were categorized into three phases of the presurgical evaluation: basic, intermediate, and advanced. The added value of 7 T MRI was assessed based on its ability to confirm, exclude, or detect new epileptogenic lesions, as well as its influence on surgical decision-making. RESULTS: 7 T MRI provided added clinical value in 51 % of cases, improving lesion detection and contributing to clinical decisions, particularly in patients with unclear or ambiguous findings. In some instances, it confirmed previously suspected lesions or revealed previously undetected lesions, leading to surgical interventions. It also helped exclude possible lesions, influencing decisions to avoid unnecessary surgery. Notably, hippocampal malrotation (HIMAL) was identified in several patients, warranting further investigation regarding its potential epileptogenic role. CONCLUSION: 7 T MRI enhances the presurgical evaluation of TLE by improving lesion detection, clarifying ambiguous findings, and aiding clinical decision-making. Its use should be considered at various stages of the evaluation process, as it offers valuable diagnostic information for both MRI-positive and MRI-negative patients. Further research is needed to explore the possible epileptogenic significance of HIMAL.
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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 | 0.000 |
| 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".