Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

542
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
542
Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

568
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
568

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Role of Perfusion Parameters on Outcomes and Safety of Endovascular Therapy in Posterior Cerebral Artery Stroke.

Stroke·2026
Same author

MAD-MT Score: A Tool to Optimize Patient Selection for Mechanical Thrombectomy in Distal Vessel Occlusions.

Stroke·2026
Same author

A multimodal deepsurv approach: integrating radiomics and clinical factors for brain metastasis survival prediction.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026
Same author

Stroke Severity and Functional Benefit of Thrombectomy in Acute M2 Middle Cerebral Artery Occlusion: A Multicenter Cohort Study.

Neurology·2026
Same author

Perfusion imaging abnormalities in acute cerebral venous sinus thrombosis: A case series.

The neuroradiology journal·2026
Same author

ABIM Pilot Pathway E in Context: A Competency-Based Certification Model for International Medical Graduates.

Journal of general internal medicine·2026

相关实验视频

Updated: May 6, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.1K

利用成像参数来预测急性缺血性中风的功能性结果:一项机器学习研究.

Burak B Ozkara1, Mert Karabacak2, Meisam Hoseinyazdi3

  • 1Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
|March 2, 2024
PubMed
概括

仅使用成像参数的机器学习模型准确地预测了急性缺血性中风患者的大血管封闭的功能结果. 多相CT血管学附带评分是最重要的预测因素.

关键词:
急性缺血性中风是急性缺血性中风.计算机断层扫描 血管图谱计算机断层扫描输液输液机器学习是机器学习.预后 预后 预后

更多相关视频

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.0K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.3K

相关实验视频

Last Updated: May 6, 2026

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.1K
Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
10:25

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

48.0K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

1.3K

科学领域:

  • 神经成像是一种神经成像.
  • 机器学习在医学中的应用
  • 脑卒中研究 脑卒中研究

背景情况:

  • 带有前部循环大血管封闭 (LVOs) 的急性缺血性中风是一个重大的临床挑战.
  • 预测功能结果对于指导治疗决策至关重要.

研究的目的:

  • 开发和评估机器学习模型,用于预测急性缺血性中风患者的功能结果.
  • 为了评估仅仅对成像参数的预测值,无论治疗或中风的严重程度如何.

主要方法:

  • 一项对180名前部循环LVO的成年患者进行的回顾性研究,这些患者接受了CT血管造影 (CTA) 和CT输液.
  • 机器学习算法 (CatBoost,XGBoost,随机森林) 仅使用成像参数进行训练.
  • 模型性能使用AUROC,AUPRC,准确度,布里尔得分,回忆和精度进行评估,以SHapley添加式解释为特征的重要性.

主要成果:

  • XGBoost模型实现了最高的预测性能,AUROC为0.91.
  • 关键性能指标包括精度 (0.72),回忆 (0.81),AUPRC (0.83) 和准确性 (0.78).
  • 多相CTA附带评分成为预测结果的最重要的成像特征.

结论:

  • 仅使用成像参数的机器学习模型可以有效地预测LVO急性缺血性中风的功能结果.
  • 高预测精度 (AUROC 0.91) 表明成像参数与传统预测器可比.
  • 多相CTA附带评分是预测中风恢复的关键成像生物标志物.