التفاصيل البيبلوغرافية
العنوان: |
Research progress in ultrasound use for the diagnosis and treatment of cerebrovascular diseases |
المؤلفون: |
Li Yan, Xiaodong Zhou, Yu Zheng, Wen Luo, Junle Yang, Yin Zhou, Yang He |
المصدر: |
Clinics, Vol 74, Iss 0 (2019) |
بيانات النشر: |
Elsevier España, 2019. |
سنة النشر: |
2019 |
المجموعة: |
LCC:Medicine (General) |
مصطلحات موضوعية: |
Ultrasound, Vascular Imaging, Cerebrovascular Event, Carotid Artery, Ultrasound Contrast, Thrombolysis, Medicine (General), R5-920 |
الوصف: |
Cerebrovascular diseases pose a serious threat to human survival and quality of life and represent a major cause of human death and disability. Recently, the incidence of cerebrovascular diseases has increased yearly. Rapid and accurate diagnosis and evaluation of cerebrovascular diseases are of great importance to reduce the incidence, morbidity and mortality of cerebrovascular diseases. With the rapid development of medical ultrasound, the clinical relationship between ultrasound imaging technology and the diagnosis and treatment of cerebrovascular diseases has become increasingly close. Ultrasound techniques such as transcranial acoustic angiography, doppler energy imaging, three-dimensional craniocerebral imaging and ultrasound thrombolysis are novel and valuable techniques in the study of cerebrovascular diseases. In this review, we introduce some of the new ultrasound techniques from both published studies and ongoing trials that have been confirmed to be convenient and effective methods. However, additional evidence from future studies will be required before some of these techniques can be widely applied or recommended as alternatives. |
نوع الوثيقة: |
article |
وصف الملف: |
electronic resource |
اللغة: |
English |
تدمد: |
1980-5322 |
Relation: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1807-59322019000100302&lng=en&tlng=en; https://doaj.org/toc/1980-5322 |
DOI: |
10.6061/clinics/2019/e715 |
URL الوصول: |
https://doaj.org/article/ab27bd2f939b48c4a148c81e7dd308e8 |
رقم الانضمام: |
edsdoj.b27bd2f939b48c4a148c81e7dd308e8 |
قاعدة البيانات: |
Directory of Open Access Journals |