Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study-Reference-Cited by-同舟云学术

Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study

Published:2020-04-29 Issue:9 Volume:30 Page:5170-5182
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Chen Guozhong,Lu Mengjie,Shi Zhao,Xia Shuang,Ren Yuan,Liu Zhen,Liu Xiuxian,Li Zhiyong,Mao Li,Li Xiu Li,Zhang Bo,Zhang Long Jiang,Lu Guang Ming

Funder

The National Key Research and Development Program of China

The National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-06886-7.pdf

Reference33 articles.

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2. Vlak MH, Algra A, Brandenburg R, Rinkel GJ (2011) Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis. Lancet Neurol 10:626–636

3. Rinkel GJ, Algra A (2011) Long-term outcomes of patients with aneurysmal subarachnoid haemorrhage. Lancet Neurol 10:349–356

4. Naggara ON, White PM, Guilbert F, Roy D, Weill A, Raymond J (2010) Endovascular treatment of intracranial unruptured aneurysms: systematic review and meta-analysis of the literature on safety and efficacy. Radiology 256:887–897

5. Thompson BG, Brown RD Jr, Amin-Hanjani S et al (2015) Guidelines for the management of patients with unruptured intracranial aneurysms: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 46:2368–2400

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