Radiomics Analysis of CTO Plaques for Predicting Successful Guidewire Crossing Within 30 Minutes of PCI
CTO characteristics revealed by radiomics analysis can be used as effective imaging biomarkers for predicting guidewire success. However, the performance of the radiomics model depends on anatomic and operator factors.
Authors
- Fu Xu (ORCID: https://orcid.org/0000-0001-7658-4952)
- Xiantao Song (ORCID: https://orcid.org/0000-0003-0980-7014)
- Mingduo Zhang (ORCID: https://orcid.org/0000-0003-0111-4088)
- Haoran Xing (ORCID: https://orcid.org/0000-0003-1426-1984)
- Ouya Lin
- Chuang Li (ORCID: https://orcid.org/0000-0002-8500-5577)
- Yang Liu (ORCID: https://orcid.org/0000-0002-6872-6815)
- Jiangang Liu (ORCID: https://orcid.org/0000-0001-7715-2393)
- M. Zhang (ORCID: https://orcid.org/0000-0001-8659-5727)
- Dongfeng Zhang (ORCID: https://orcid.org/0000-0002-3373-5906)
- Li Xu (ORCID: https://orcid.org/0000-0001-6406-9806)
- Feng Xu (ORCID: https://orcid.org/0000-0002-5838-9974)
- Lanxin Feng (ORCID: https://orcid.org/0009-0009-2520-197X)
- Hongjia Zhang (ORCID: https://orcid.org/0000-0002-1314-6733)
- Qiang Wang (ORCID: https://orcid.org/0000-0002-6357-3688)
- Yi He (ORCID: https://orcid.org/0000-0003-3014-5211)
- Yuan Fu (ORCID: https://orcid.org/0000-0002-5352-0961)
- Yuan Zhou (ORCID: https://orcid.org/0009-0008-3650-3861)
- Zhenyu Liu (ORCID: https://orcid.org/0000-0001-7559-8519)
- Zhenchao Tang (ORCID: https://orcid.org/0009-0004-2860-3900)
- Lijun Zhang (ORCID: https://orcid.org/0000-0003-4974-2745)
Institutions
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Xerox (France) (FR)
- National Cancer Center (US)
- Shandong Institute of Automation (CN)
- ZTE (China) (CN)
- Beijing Xuanwu Traditional Chinese Medicine Hospital (CN)
- Beijing Anzhen Hospital (CN)
- Beijing Friendship Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- Circulation Cardiovascular Imaging
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1161/circimaging.123.016117
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02