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基于稀疏重建算法的右美托咪定静脉麻醉对颅脑损伤患者磁共振成像术后躁动的效果评价。

Effect Evaluation of Dexmedetomidine Intravenous Anesthesia on Postoperative Agitation in Patients with Craniocerebral Injury by Magnetic Resonance Imaging Based on Sparse Reconstruction Algorithm.

机构信息

Department of Anesthesia Surgery, First Affiliated Hospital, Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, Heilongjiang, China.

Department of Outpatient, Harbin Red Cross Central Hospital, Harbin 150076, Heilongjiang, China.

出版信息

Contrast Media Mol Imaging. 2022 Jun 23;2022:5161703. doi: 10.1155/2022/5161703. eCollection 2022.

DOI:10.1155/2022/5161703
PMID:35833071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9246591/
Abstract

The effect of dexmedetomidine on postoperative agitation of patients with craniocerebral injury was investigated based on magnetic resonance imaging (MRI) with the sparse reconstruction algorithm. Sixty patients with craniocerebral injury who underwent tracheal intubation and craniotomy hematoma removal under general anesthesia in hospital were selected as the research objects. Patients were randomly and averagely divided into the normal saline group (group A) and the dexmedetomidine (DEX) group (group B). DEX was added to patients in group A during anesthesia. Other operations in group B were the same as those in group A, where DEX needed to be used was replaced by an equal amount of the normal saline. All patients received the MRI examination, and the images were processed by using the sparse reconstruction algorithm. After the surgery, some indexes, such as hemodynamics (mean arterial pressure (MAP) and hear rate (HR)), the Riker sedation agitation score, the Ramsay sedation score, and the visual analogue scale (VAS) score were recorded and compared. The results showed that the MRI image quality processed by sparse reconstruction algorithm was observably improved. After reconstruction, the sharpness of the image was significantly improved, and the distinction between lesions and tissues was also increased. The Riker sedation agitation score and the incidence of agitation in group A were greatly lower than those in group B (16% VS 76%,  < 0.05). The Ramsay sedation score of group A was manifestly higher than that of group B. The cases of postoperative nausea, vomiting, chills, delirium, and bradycardia in group A were 2, 1, 1, 0, and 1, respectively. The cases of postoperative nausea, vomiting, chills, delirium, and bradycardia in group B were 3, 9, 6, 5, and 0, respectively. The cases of chills and delirium in group A were observably less than those in group B ( < 0.05). In conclusion, based on the sparse reconstruction algorithm, the MRI technology and DEX had high adoption value in preventing postoperative agitation of patients with craniocerebral injury. Compared with group B, the hemodynamics of patients in group A was more stable.

摘要

基于磁共振成像(MRI)稀疏重建算法,研究右美托咪定对颅脑损伤患者术后躁动的影响。选取在我院行全身麻醉气管插管及开颅血肿清除术的颅脑损伤患者 60 例作为研究对象,采用随机数字表法将患者平均分为生理盐水组(A 组)和右美托咪定组(B 组)。麻醉时 A 组患者给予生理盐水,B 组患者给予等剂量的右美托咪定,其他操作与 A 组相同。所有患者均接受 MRI 检查,采用稀疏重建算法对图像进行处理。术后记录并比较患者血流动力学[平均动脉压(MAP)、心率(HR)]、Riker 镇静躁动评分、Ramsay 镇静评分、视觉模拟评分(VAS)等指标。结果显示,稀疏重建算法处理后的 MRI 图像质量明显提高,重建后图像清晰度明显提高,病变与组织的区分度也有所增加。A 组患者的 Riker 镇静躁动评分和躁动发生率均明显低于 B 组(16%比 76%,<0.05),A 组患者的 Ramsay 镇静评分明显高于 B 组。A 组患者术后恶心、呕吐、寒战、谵妄、心动过缓的例数分别为 2、1、1、0、1 例,B 组分别为 3、9、6、5、0 例,A 组寒战和谵妄的例数明显少于 B 组(<0.05)。结论:基于稀疏重建算法,MRI 技术与右美托咪定联合应用对预防颅脑损伤患者术后躁动具有较高的应用价值,与 B 组比较,A 组患者的血流动力学更加稳定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/c872380fe54a/CMMI2022-5161703.009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/7ffac47876c2/CMMI2022-5161703.006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/229f8301b75e/CMMI2022-5161703.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/c872380fe54a/CMMI2022-5161703.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/6a13c8222956/CMMI2022-5161703.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/767ffc458a06/CMMI2022-5161703.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/e78e13bb1d3e/CMMI2022-5161703.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/73406727b940/CMMI2022-5161703.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/b630a57bd07d/CMMI2022-5161703.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/7ffac47876c2/CMMI2022-5161703.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/bbef4d61fba6/CMMI2022-5161703.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/229f8301b75e/CMMI2022-5161703.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a6a/9246591/c872380fe54a/CMMI2022-5161703.009.jpg

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