Combined Application of CT Perfusion Imaging and CT Angiography in Imaging Diagnosis of Acute Cerebrovascular Diseases

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Abstract

The incidence rate of cerebrovascular diseases is increasing year by year, but the accuracy of clinical diagnosis is not high enough to cause disease. Many patients cannot effectively diagnose and treat the disease at the early stage. CT perfusion imaging (CTP) and CT angiography (CTA) were used to diagnose cerebrovascular diseases. In this paper, 26 cases of patients with acute cerebrovascular disease in our hospital from June to August 2020 were selected as the research objects. According to the diagnosis method voluntarily chosen by patients, 6 cases were only detected by CT perfusion imaging, 8 cases were only detected by CT angiography, and the remaining 12 cases were diagnosed by CT perfusion imaging and CT angiography. Then, according to the diagnosis results of the CT image of the patients with cerebrovascular disease, these samples were followed up after 3 months, 6 months, and 9 months, and more accurate diagnosis results were obtained. The study showed that, after 3 months of CT detection, the sensitivity of patients with CTP detection was 67%, that of patients with CTA detection was 72%, and that of patients with combined detection was 83%. After 6 months of CT detection, the sensitivity of patients with CTP detection was 75%, that of patients with CTA detection was 79%, and that of patients with combined detection was 93%. After 9 months of CT detection, the sensitivity of patients with CTP detection was 86%, that of patients with CTA detection was 89%, and that of patients with combined detection was 99%. Therefore, the use of CTA combined with CTP joint detection of acute cerebrovascular disease imaging technology can effectively improve the diagnostic accuracy of patients.

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APA

Li, Y., Liu, Z., Wu, B., Zhang, J., & Li, C. (2021). Combined Application of CT Perfusion Imaging and CT Angiography in Imaging Diagnosis of Acute Cerebrovascular Diseases. Journal of Healthcare Engineering. Hindawi Limited. https://doi.org/10.1155/2021/4825285

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