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

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

749
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
749
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

516
Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
516

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

The effects of repetitive transcranial magnetic stimulation on sleep in individuals with substance use disorders: A systematic review.

Journal of psychiatric research·2026
Same author

Educating nursing students to meet the mental health needs of vulnerable populations: a narrative review.

Frontiers in public health·2026
Same author

Selection into Advanced Training in Rheumatology in Australia: towards a programmatic and theory-informed model.

Internal medicine journal·2026
Same author

Multidimensional self-reported sleep health, cognitive decline, and risk of all-cause dementia: A population-based multi-cohort study.

Journal of Alzheimer's disease : JAD·2026
Same author

Management of tenosynovial giant cell tumor: approved and investigational therapies.

Expert review of anticancer therapy·2026
Same author

Digital markers and phenotypes of rest-activity rhythms in people with advanced dementia using real-time location data.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Reply to "Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities".

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Correlates and predictors of self-efficacy among dementia caregivers: D-CARE findings.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

What should convince a clinician of disease modification in Alzheimer's disease clinical trials?

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Primary cilia-extracellular vesicle crosstalk in Alzheimer's disease: Emerging mechanisms and biomarker potential.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

生物标志物 生物标志物

Erin Gibson1, Joel Ramirez1, Lauren Abby Woods1

  • 1Dr. Sandra E. Black Centre for Brain Resilience and Recovery, LC Campbell Cognitive Neurology, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 26, 2025
PubMed
概括
此摘要是机器生成的。

一个名为segcsvdPVS的新工具在脑成像中准确量化了扩大的周血管空间 (PVS). 这种自动化方法显示出高灵敏度和稳定性,推动了脑小血管疾病 (CSVD) 的研究.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

相关实验视频

Last Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

科学领域:

  • 神经成像是一种神经成像.
  • 人工智能在医学中的应用
  • 大脑小血管疾病 (CSVD)

背景情况:

  • 扩大周血管空间 (PVS) 是CSVD的关键成像生物标志物,与衰老和神经退行有关.
  • 在T1加权MRI上精确量化PVS是具有挑战性的,因为成像的变化和低对比度.
  • 使用卷积神经网络 (CNN) 的现有自动化方法在性能和通用性方面存在局限性.

研究的目的:

  • 介绍segcsvdPVS,这是一个基于CNN的新型工具,用于在T1加权MRI上自动化PVS细分.
  • 评估segcsvdPVS在各种数据集和成像条件中的性能,稳定性和临床相关性.

主要方法:

  • 开发 segcsvdPVS,使用具有解剖学信息和强大的训练策略的等级CNN框架.
  • 在大型队列 (n=1351) 上使用半自动化的基于RORPO的地面真相数据训练和验证该工具.
  • 评估了性能指标,对图像质量变化的稳定性和与年龄相关的PVS负担相关性,与既定方法相比.

主要成果:

  • SegcsvdPVS对基底质PVS表现出高灵敏度 (0.81±0.13) 并检测出与人类标记物相比显著更大的体积.
  • 该工具在三个不同的数据集 (r ≈ 0.41) 中显示了与PVS体积的强烈与年龄相关的相关性.
  • SegcsvdPVS对图像对比度和噪声变化表现出优越的稳定性,对与年龄相关的相关性影响最小.

结论:

  • SegcsvdPVS是PVS细分的可靠工具,特别是在基底腺区域,提供增强的灵敏度和稳定性.
  • 该工具有效地检测出与PVS负担有关的生物相关的与年龄相关的关联.
  • SegcsvdPVS适用于大规模研究和临床研究,以提高对CSVD和痴呆症PVS的理解.