Clinical-Radiomics Nomogram Model Based on CT Angiography for Prediction of Intracranial Aneurysm Rupture: A Multicenter Study

Authors

Chuan-Ting Li
Yunjun Yang (ORCID: https://orcid.org/0000-0003-2080-2417)
Yongchun Chen
Chao Chen (ORCID: https://orcid.org/0000-0002-5114-2282)
Jinjin Liu (ORCID: https://orcid.org/0000-0002-3838-6012)
Xiufen Jia (ORCID: https://orcid.org/0000-0001-5472-3069)
Dongqin Zhu
Kuikui Zheng

Institutions

Shandong University (CN)
Wenzhou Medical University (CN)
First Affiliated Hospital of Wenzhou Medical University (CN)
Shandong Provincial Hospital (CN)

Publication Details

Journal: Journal of Multidisciplinary Healthcare
Published: 2024-12-01
DOI: https://doi.org/10.2147/jmdh.s491697
Citations: 3
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 1.21

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article

Clinical-Radiomics Nomogram Model Based on CT Angiography for Prediction of Intracranial Aneurysm Rupture: A Multicenter Study

Chuan-Ting Li, Yunjun Yang, Yongchun Chen, Chao Chen et al.

Dec 1, 2024

3 citations

Journal of Multidisciplinary Healthcare

Radiomics and Machine Learning in Medical Imaging

1.21

article

Clinical-Radiomics Nomogram Model Based on CT Angiography for Prediction of Intracranial Aneurysm Rupture: A Multicenter Study

Chuan-Ting Li, Yunjun Yang, Yongchun Chen, Chao Chen, Jinjin Liu, Xiufen Jia, Dongqin Zhu, Kuikui Zheng

December 1, 2024article en

3 citations

Abstract

No abstract available for this paper.

Journal of Multidisciplinary HealthcareVol. Volume 17

Shandong University (CN), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Shandong Provincial Hospital (CN)

Good health and well-being

Openalex Percentile: Top 19%

Radiomics and Machine Learning in Medical Imaging

1.21

DOI Open Access PDF OpenAlex

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