跳至主要内容
临床试验/NCT04329312
NCT04329312终止不适用

Differential Diagnosis of Pulmonary Hypertension With Automated Image Analysis - a Pilot Study

Medical University of Graz1 个研究点 分布在 1 个国家目标入组 23 人开始时间: 2020年6月15日最近更新:
适应症

试验速览

阶段
不适用
状态
终止
发起方
入组人数
23
试验地点
1
主要终点
Lung vessel morphology

研究概览

简要总结

The aim of the study is to determine relevant morphologic parameters of the lung vasculature for the differentiation between different groups of patients with pulmonary hypertension (PH) by thoracic computer tomography (CT). In this pilot study patients undergoing right heart catheterization will be investigated by thoracic CT and special software to determine morphologic readouts.

The investigators expect that using this non-invasive method, parameters relevant for the differentiation of the patients with PH can be determined.

详细描述

Pulmonary hypertension (PH) is defined as an elevated mean pressure in the pulmonary artery above 20mmHg determined at right-heart catheterization. Depending on the presentation and pathogenesis, patients are classified according to five main groups. A correct classification is crucial, since it is essential for the available therapy options.

A promising non-invasive method to provide important hemodynamic and clinical Information is the fully-automatic analysis of thoracic computed tomography images. This method can yield a number of quantitative morphologic readouts of the lung vasculature and the parenchyma.

This study aims to identify quantitative markers from the fully-automatic image analysis, which allow a discrimination between the various PH patient groups.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 99 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients with right-heart catheterization
  • Clinical indication for thoracic CT

排除标准

  • Pregnancy
  • Decreased kidney function
  • Intolerance to contrast material
  • Other standard CT contraindications

结局指标

主要结局

Lung vessel morphology

时间窗: 1 day

Quantitative measures of lung vessel morphology based on automated CT image analysis based on artery-vein separation and vessel segmentation, which allow differentiation between the different groups of PH

次要结局

未报告次要终点

研究者

发起方
Medical University of Graz
申办方类型
Other
责任方
Sponsor

研究点 (1)

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