Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography-Reference-Cited by-同舟云学术

Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography

Published:2023-11-20 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Pisu Francesco,Chen Hui,Jiang Bin,Zhu Guangming,Usai Marco Virgilio,Austermann Martin,Shehada Yousef,Johansson Elias,Suri Jasjit,Lanzino Giuseppe,Benson John,Nardi Valentina,Lerman Amir,Wintermark Max,Saba Luca^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10347-2.pdf

Reference22 articles.

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2. Kleindorfer DO, Towfighi A, Chaturvedi S et al (2021) 2021 guideline for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline from the American heart association/American stroke association. Stroke 52:e364–e467. https://doi.org/10.1161/STR.0000000000000375

3. Saba L, Saam T, Jäger HR et al (2019) Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications. Lancet Neurol 18:559–572. https://doi.org/10.1016/S1474-4422(19)30035-3

4. Fisher M, Martin A, Cosgrove M, Norris JW (1993) The NASCET-ACAS plaque project. North American Symptomatic Carotid Endarterectomy Trial. Asymptomatic Carotid Atherosclerosis Study. Stroke 24:I24-5 (discussion I31-2)

5. Waksman R, Torguson R (2021) The vulnerable plaque detected: time to consider treatment. Lancet 397:943–945. https://doi.org/10.1016/S0140-6736(21)00504-3

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1. Correction: Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography;European Radiology;2024-06-18