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相关概念视频

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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相关实验视频

Updated: Sep 9, 2025

Quantitative Micro-CT Analysis of Aortopathy in a Mouse Model of β-aminopropionitrile-induced Aortic Aneurysm and Dissection
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一个创新的双模计算机断层数据驱动的深度学习模型用于预测大动脉剖析:多中心研究

Ziqian Li1, Lintao Chen1, Shengxuming Zhang2

  • 1Department of Radiology, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Quantitative imaging in medicine and surgery
|September 2, 2025
PubMed
概括

一个新的双模深度学习模型使用非对比CT和CTA扫描准确诊断大动脉剖析 (AD). 这种框架提高了这种致命紧急情况的诊断效率,

关键词:
大动脉大动脉切割 (AD)计算机断层扫描 (CT)深度学习 (DL)

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Time-Resolved, Dynamic Computed Tomography Angiography for Characterization of Aortic Endoleaks and Treatment Guidance via 2D-3D Fusion-Imaging
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相关实验视频

Last Updated: Sep 9, 2025

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科学领域:

  • 医学成像
  • 人工智能
  • 心血管疾病

背景情况:

  • 大动脉解剖是一种危及生命的疾病,需要快速诊断.
  • 由于对比剂,目前的计算机断层扫描血管学 (CTA) 诊断是耗时的.
  • 现有的深度学习 (DL) 模型仅限于单模输入 (非对比CT或CTA).

研究的目的:

  • 开发一种双模深度学习 (DL) 框架,以改善主动脉解剖 (AD) 诊断.
  • 允许独立处理非对比CT和CTA数据以检测双路径.
  • 提高阿尔茨海默病诊断的效率.

主要方法:

  • 一项回顾性研究包括在2016年2月至2021年9月期间接受非对比CT和CTA的患者.
  • 开发了一种两阶段的DL模型:主动脉检测网络 (AoDN),其次是主动脉剖析诊断网络 (ADDiN).
  • 用于对大动脉检测和诊断的接收器操作特征曲线 (AUC) 下面的面积的交叉点平均精度为0.5 (AP@0.5) 来评估性能.

主要成果:

  • 在甲状腺检测方面,AoDN的性能很高,非对比CT的AP@0.5为99.14%和CTA的99.34%.
  • ADDiN显示出优异的诊断准确性,非对比CT的AUC为0. 98和CTA的AUC为0. 99.
  • 该模型在三个机构中得到了验证.

结论:

  • 拟议的双模CT数据驱动的DL模型可以准确地诊断AD.
  • 这一框架有助于迅速诊断和治疗阿尔茨海默病患者.
  • 这项研究突显了多式联动器在改善心血管紧急诊断方面的潜力.