Nerve Ultrasound of Multifocal Motor Neuropathy and Motor and Typical Chronic Inflammatory Demyelinating Neuropathy
Bibliographic record
Abstract
ABSTRACT Objective: Both multifocal motor neuropathy (MMN) and chronic inflammatory demyelinating polyneuropathy (CIDP) are chronic progressive immune-mediated peripheral neuropathies without sensory loss. We aimed to explore the different features of ultrasonographic and electrophysiological changes among MMN, motor CIDP and typical CIDP patients. Methods: Nerve ultrasonographic studies were performed in 19 patients with MMN, 15 patients with motor CIDP and 117 patients with typical CIDP. Cross-sectional areas (CSAs) were measured on the bilateral median and ulnar nerves and brachial plexus. Nerve conduction studies (NCSs) were performed on the median and ulnar nerves. Results: In patients with MMN and typical CIDP, the percentage enlargement in the brachial plexus (MMN 45.7%, typical CIDP 78%) was similar to that in the arm (MMN 42.9%, typical CIDP 76.8%) and forearm (MMN 42.9%, typical CIDP 79.4%). However, in patients with motor CIDP, the percentage enlargement in the brachial plexus (74.1%) was more pronounced than in the arm (65.5%) and forearm (58.6%). The CMAPerb/CMAPaxilla in MMN was significantly higher than in motor CIDP (median nerve, 0.82 ± 0.28 for MMN and 0.60 ± 0.37 for motor CIDP, P = 0.017). The CSA decreased in the order of typical CIDP, motor predominant CIDP (MPred-CIDP), pure motor CIDP (PM-CIDP) and MMN. The motor nerve conduction velocity increased in the order of typical CIDP, MPred-CIDP, PM-CIDP and MMN. A total of 3/6 PM-CIDP and 3/3 MPred-CIDP patients responded to steroid treatment. Conclusion: Treatment response, nerve ultrasonography and NCS in MMN, PM-CIDP, MPred-CIDP and typical CIDP constitute a spectrum.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".