High-resolution ultrasonography and electrophysiological studies in lower extremity nerve decompression for diabetic peripheral neuropathy
Bibliographic record
Abstract
Objective To evaluate the clinical value of high - resolution ultrasound and electrophysiology in the low extremity nerve decompression for diabetic peripheral neuropathy.Method In this study,560 diabetic peripheral neuropathy (DPN) patients were treated with Dellon surgical nerve decompression.Before and 1.5 years after surgery,the tests of Toronto clinical scoring system (TCSS),High- resolution ultrasound,quantitative sensory testing (QST) and nerve conduction velocity (NCV) were performed in all cases,and these data were compared to the normal control.Results Ultrasonographic images revealed an apparently normal proximal nerve marked swelling,enlarged and hypoechogeneity with loss fascicular pattern.The cross - sectional - area,anteroposterior dimension and transverse diameter were measured by preoperative and preoperative,and the differences had statistical significance( P ＜ 0.01 ).NCV- positive cases amounted to 74.9％ DPN patients in this study,and QST - positive cases amounted to 90.9％.There were significant differences between NCV and QST results ( P ＜0.05),therefore,QST was more sensitive to early stage diabetic peripheral neuropathy patients than NCV.Postoperative NCV significantly increased ( P ＜ 0.05 ) compared with that before surgery.Postoperative cold perception threshold (CPT) significantly increased compared with the preoperative value ( P ＜ 0.05 ).Postoperative warm perception threshold (WPT) was significantly lower than the preoperative value (P ＜0.01).Postoperative vibration perception threshold (VPT) was significantly lower than the preoperative value ( P ＜ 0.05 ).NCV was positively correlated with CPT,and negatively correlated with WPT and VPT.The preoperative TCSS score was 19 points for all the cases,and 420 cases (75％) improved to 10 ～ 13 points ( P ＜ 0.01 ).Conclusion Ultrasonography can be capable of depicting these nerves morphological imformation,with respect to exact location,course,extent.QST is suitable for early diagnosis of DPN.Abnormal QST is an indication of lower extremity nerve decompression for DPN.The joint use of QST and NCV testing helps surgeons to grasp the timing of surgery.High- resolution ultrasound,QST and NCV testing can also be used as an outcome index for surgical treatment. Key words: Peripheral neuropathy, diabetes mellitus ; High -resolution ultrasound ; Quantitative sensory testing ; Nerve conduction velocity ; Toronto clinical scoring system ;
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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) | 0.001 | 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".