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The efficacy of Rhodiola Rosea based on DTI image Segmentation Algorithm for patients with delayed Encephalopathy caused by CO poisoning.

Authors :
Gao Y
Cui H
Ren W
Han B
Source :
Pakistan journal of medical sciences [Pak J Med Sci] 2021; Vol. 37 (6), pp. 1558-1563.
Publication Year :
2021

Abstract

Objectives: By using DTI image segmentation algorithm investigate the effect of large plants Rhodiola injection on myocardial injury in patients with acute severe CO poisoning (ACOP), and to explore the clinical and CT delayed encephalopathy after ACOP.<br />Methods: Seventy-two ACOP patients were randomly divided into control and observation group, 36 cases in each group from December 2015 - December 2017. The control group received hyperbaric oxygen, mannitol, dexamethasone, citicoline injection, gangliosides, dracone; observation group were large strain Rhodiola injection treatment group based on the once daily for two weeks of continuous treatment. The head CT, head MRI results were analyzed retrospectively.<br />Results: (1) hsCRP and ET-1 in the observation group were significantly lower than those in the control group, and VEGF was significantly higher than that in the control group (P<0.01). No, NOS, and iNOS were significantly lower than those of the control group (P<0.01); (2) CT images of 16 cases showed bilateral symmetrical fusion lesions with blurred edges, low density, and oval center around the ventricle; (3) MRI showed that the lesion was located in the cerebral cortex, white matter lateral ventricle and/or basal ganglia in 12 cases.<br />Conclusion: Rhodiola can reduce myocardial vascular endothelial cell injury, improve cardiac function, and protect the damaged myocardium. Meanwhile, after acute CO poisoning delayed encephalopathy early for CT and MRI examination facilitate analysis and prognosis of the disease.<br /> (Copyright: © Pakistan Journal of Medical Sciences.)

Details

Language :
English
ISSN :
1682-024X
Volume :
37
Issue :
6
Database :
MEDLINE
Journal :
Pakistan journal of medical sciences
Publication Type :
Academic Journal
Accession number :
34712282
Full Text :
https://doi.org/10.12669/pjms.37.6-WIT.4830