[key words] Cerebral infarction; Magnetic resonance diffusion imaging; DTT technology; NIHSS score

[Abstract] Objective: To observe and analyze the value of mris combined with DTT in disease evaluation of senile cerebral infarction patients. Methods: Select our hospital treatment in nearly a year of 45 patients with cerebral infarction in elderly, each patient were performed before nuclear magnetic resonance diffusion imaging and DTT technology, according to the white matter fiber tracts (CST) and the relative position of cerebral infarction area (adjacent, across, through), 45 patients were divided into three groups (adjacent 13 people, through the 14 people, partly through 17 people), and each group of patients with functional outcome prediction for recovery, paralysis and partial recovery; Patients admitted to hospital with NIHSS score scale is used to evaluate the severity of cerebral infarction, according to the severity (less than 6 minutes, 6 to 16 points, more than 16 points) 45 patients were divided into 3 groups (less than 6 points of 9 people, 6 to 16 points of 15 people, more than 16 points and 21), the functional outcome prediction for recovery, recovery and paralysis. The two predicted values were compared with the actual values, and the relationship between the predicted values and the actual value ratio was analyzed. Results: Among the predicted values of NIHSS, 4 out of 9 people recovered, accounting for 44.44%. Of the 15 partially recovered, 6 partially recovered, accounting for 40.00%. Of the 21 people paralyzed, 10 were paralyzed, accounting for 47.62%. The difference between the three groups was statistically significant (P<0.05). In the three groups of patients predicted by the location of CST and cerebral infarction, 12 of the 13 patients recovered, accounting for 92.31%. Of the 17 partially recovered persons, 15 partially recovered, accounting for 88.24%. Thirteen of the 14 people paralyzed, or 92.86 percent, were paralyzed. Compared with the actual situation, the difference was not statistically significant (P>0.05). Comparing the coincidence rate between the predicted value and the actual value of the two methods, the general difference was statistically significant (P<0.05). Conclusion: Compared with the NIHSS score predicts patients disease assessment, through magnetic resonance diffusion imaging and DTT technology evaluation in patients with disease, the accuracy is higher, so the magnetic resonance diffusion imaging joint DTT disease in elderly patients with cerebral infarction assessment has more clinical value.

Acknowledgements

Compared with the NIHSS score predicts patients disease assessment, through magnetic resonance diffusion imaging and DTT technology evaluation in patients with disease, the accuracy is higher, so the magnetic resonance diffusion imaging joint DTT disease in elderly patients with cerebral infarction assessment has more clinical value.

References

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