Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

Journal: Clinical neurology and neurosurgery

Published Date: Aug 15, 2019

Abstract

OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in predicting early enlargement of spontaneous intracerebral hemorrhage (SICH).

Authors

Hui Li

Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Yuanliang Xie

Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Xiang Wang

Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Faxiang Chen

Department of Radiology, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province 430014, China.
Jianqing Sun

Philips Healthcare, Shanghai 510530, China.
Xiaoli Jiang

Department of Radiology, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province 430014, China.

Keywords

Aged Algorithms Cerebral Hemorrhage Disease Progression Female Hematoma Humans Image Processing, Computer-Assisted Machine Learning Male Middle Aged Prognosis Support Vector Machine Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (31470362)

Radiomics features on non-contrast computed tomography predict early enlargement of spontaneous intracerebral hemorrhage.

Abstract

Authors

Keywords

External Resources

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