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相关概念视频

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

116
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
116
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

154
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
154

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相关实验视频

Updated: Jul 24, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

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在间歇性肺病中探索基于计算机的成像分析:机遇和挑战.

Federico N Felder1, Simon L F Walsh1

  • 1National Heart and Lung Institute, Imperial College London, London, UK.

ERJ open research
|July 5, 2023
PubMed
概括

定量计算断层扫描 (QCT) 和人工智能 (AI) 为研究间歇性肺部疾病提供了精确,可重复的方法. 这些先进的工具改善了诊断和预后,克服了旧技术的局限性.

科学领域:

  • 肺部医学 肺部医学
  • 放射学 放射学是一门学科.
  • 医学成像分析 医学成像分析

背景情况:

  • 传统的半定量方法研究间歇性肺部疾病受到人为错误和复制性差的限制.
  • 定量计算断层扫描 (QCT) 和人工智能 (AI) 为高分辨率CT数据提供了先进的分析能力.

研究的目的:

  • 突出QCT和AI在间歇性肺部疾病研究中的革命性影响.
  • 讨论这些定量方法的诊断,预后和预测能力.
  • 确定QCT和AI临床实施的挑战和未来方向.

主要方法:

  • 使用高分辨率计算机断层扫描数据.
  • 应用定量计算断层扫描 (QCT) 分析.
  • 整合人工智能 (AI) 算法用于疾病评估.

主要成果:

  • 比半定量方法,QCT和AI提供了更准确和更精确的结果.
  • 通过QCT和AI开发的数字生物标志物有助于诊断,预测和预测疾病行为.
  • 这些工具为临床决策提供客观和可重复的预后信息.

结论:

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Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
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  • QCT和AI已经改变了对间歇性肺部疾病的研究,包括异常性肺纤维化和其他纤维性肺部疾病.
  • 在数据管理,共享和隐私方面仍然存在挑战.
  • 开发可解释的人工智能对于医学界的信任和常规临床采用至关重要.