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[Data analysis for relationship between aging and cardiothoracic ratio based on C-V segmentation algorithm]
Insights
This study investigated how aging affects heart size, measured by the cardiothoracic ratio (CTR). Findings provide age- and gender-specific reference values for CTR, aiding early detection of heart disease.
Area of Science:
- Cardiology
- Medical Imaging
- Gerontology
Background:
- Cardiac enlargement is a key indicator of cardiovascular and heart diseases.
- The cardiothoracic ratio (CTR) is a standard metric for assessing heart size on chest X-rays.
- Establishing normative CTR values across different demographics is crucial for accurate diagnosis.
Purpose of the Study:
- To investigate the relationship between aging and the cardiothoracic ratio (CTR).
- To develop an automated method for calculating CTR from X-ray images.
- To establish age- and gender-specific reference values for CTR in a working population.
Main Methods:
- An improved C-V level set method was developed for automated lung tissue segmentation on X-ray images.
- The segmentation method enabled automatic computation of the cardiothoracic ratio (CTR).
- Over 3,120 chest radiographs from Beijing's working population were analyzed to study CTR variations.
Main Results:
- The study systematically analyzed the effects of age and gender on CTR.
- Reference values for CTR were determined for different age and gender groups.
- The developed C-V level set method demonstrated effectiveness in automated CTR calculation.
Conclusions:
- Age and gender significantly influence the cardiothoracic ratio (CTR).
- The established reference values can aid in quantifying cardiac enlargement.
- This research supports early identification of potential cardiovascular and heart conditions.
Abstract:
Cardiac enlargement is an important symptom of vascular and heart disease. The cardiothoracic ratio (CTR) is an important index used to measure the size of heart. The aim of this study was to assess the relationship between aging and cardiothoracic ratio. This paper also presents an improved C-V level set method to segment lung tissue based on X-ray image, which used to automatically compute CTR. In the investigation carried out in our school, we got more than 3 120 chest radiographs from medical examination of the working population in Beijing, and we systematically studied the effects of age and gender on the CTR to obtain reference values for each group. The reference values established in this study can be useful for recording and quantifying the cardiac enlargement, so that it may be useful for calling attention to the cardiovascular diseases and the heart diseases.
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