Nomogram based on clinical and brain computed tomography characteristics for predicting more than 5 cerebral microbleeds in the hypertensive population.

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Bibliographic Details
Title:	Nomogram based on clinical and brain computed tomography characteristics for predicting more than 5 cerebral microbleeds in the hypertensive population.
Authors:	Wang XB; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Dong H; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Qiu YG; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Lou CC; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Huang DY; Department of Cardiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Zhang J; Department of Cardiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Chen DH; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Feng H; Department of Radiology, Xiaoshan Affiliated Hospital of Wenzhou Medical University, The First People's Hospital of Xiaoshan District, Hangzhou, China., Fang X; Department of Radiology, Changhai Hospital, Shanghai, China.
Source:	Frontiers in neurology [Front Neurol] 2022 Sep 27; Vol. 13, pp. 955378. Date of Electronic Publication: 2022 Sep 27 (Print Publication: 2022).
Publication Type:	Journal Article
Journal Info:	Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101546899 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2295 (Print) Linking ISSN: 16642295 NLM ISO Abbreviation: Front Neurol Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1664-2295
DOI:	10.3389/fneur.2022.955378