Curve Fitting Algorithm-Based Contrast-Enhanced Ultrasound Image for Evaluating the Effect of Dexmedetomidine on Neurological Function in Patients Undergoing Brain Tumor Surgery
Bibliographic record
Abstract
Objective. The study aimed to explore the influence of dexmedetomidine (Dex) guided by ultrasonic contrast on postoperative cognitive function, serum nerve injury factors, inflammatory response, and blood glucose in patients undergoing intracerebral tumor resection through curve fitting algorithm. Methods. 80 patients who underwent tumor resection were selected and randomly rolled into control (Ctrl) group and Dex group, with 40 in each. Then, patients in the Dex group received 0.4 μg/kg⋅h Dex, and patients in Ctrl received the same amount of normal saline. Both groups were diagnosed with benign or malignant tumors by contrast-enhanced ultrasound (CEUS) based on time-intensity curve (TIC) before surgery. Cognitive Capacity Screening Examination (CCSE) and Montreal Cognitive Assessment (MoCA) were used to assess the cognitive function 1 day before and 3 days after the operation, and the ELISA method was used to detect levels of nerve damage-related factors and inflammation factor. Finally, the fasting blood glucose (FBG) levels were detected at the same time. Results. In contrast with benign lesions, the AUC, MTT, and PI of malignant lesions were obviously reduced ( P < 0.05 ), while TP was obviously increased ( P < 0.05 ). The postoperative CCSE and MoCA scores of the Dex group were obviously higher than Ctrl ( P < 0.05 ). In contrast with the Ctrl, the CCSE and MoCA scores in the Dex group increased obviously after 3 days ( P < 0.05 ). In addition, the incidence of postoperative cognitive dysfunction (POCD) in the Dex group was obviously reduced ( P < 0.05 ). Besides, levels of S100β, NSE, and GFAP were obviously reduced in the Dex group 1 day after surgery ( P < 0.05 ), while levels of IL-6 and TNF-α were obviously reduced ( P < 0.05 ), and returned to the level of Ctrl 3 days after surgery. There was no obvious difference in FBG at each time point between the two. Conclusion. CEUS based on curve fitting algorithm is effective on nursing treatment of intracranial tumors. Dex can obviously improve POCD and reduce levels of serum nerve injury factors and inflammatory factors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".