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Effect of heart-size parameters computed from digital chest radiographs on detection of cardiomegaly. Potential
N Nakamori1, K Doi, H MacMahon
1Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Illinois 60637.
Insights
Automated analysis of heart size in chest radiographs aims to reduce subjective judgment of cardiomegaly. Combining multiple heart size parameters in multivariate analysis improves diagnostic accuracy over single measures like the cardiothoracic ratio.
Area of Science:
- Radiology
- Medical Imaging Analysis
- Cardiology Diagnostics
Background:
- Heart size is a critical diagnostic parameter in chest radiographs.
- Subjective assessment of cardiac enlargement (cardiomegaly) introduces significant variability.
- Developing objective methods for heart size analysis is crucial for accurate diagnosis.
Purpose of the Study:
- To develop an automated system for quantitative heart size analysis in digital chest radiographs.
- To reduce subjectivity in diagnosing cardiomegaly.
- To evaluate various heart size parameters and multivariate analysis for improved detection accuracy.
Main Methods:
- Initial review of 400 chest radiographs by two radiologists to classify cardiomegaly.
- Creation of a database using 47 inconsistently classified images for further analysis.
- Semiautomated extraction of numerous heart size parameters.
- Receiver operating characteristic (ROC) analysis to evaluate individual parameters.
- Application of multivariate analysis to pairs of parameters.
Main Results:
- The automatically determined cardiothoracic ratio emerged as the most effective single parameter for detecting cardiomegaly.
- Multivariate analysis combining multiple parameters yielded superior accuracy compared to individual parameters.
- The study demonstrated the potential of automated systems in improving cardiomegaly detection.
Conclusions:
- Automated quantitative analysis can significantly reduce subjectivity in assessing heart size on chest radiographs.
- Multivariate analysis of heart size parameters offers enhanced diagnostic accuracy for cardiomegaly.
- This approach holds promise for more reliable and objective cardiac diagnostics.
Abstract:
Heart size is an important and useful diagnostic parameter in chest radiographs. However, there is a large variation in the subjective judgment of cardiac enlargement (cardiomegaly). To reduce this subjective element, the authors are developing an automated system for quantitative analysis of heart size in digital chest radiographs. Four hundred chest radiographs were reviewed initially by two radiologists and were classified into two groups: those with and those without cardiomegaly. Another radiologist reviewed 47 images which were not classified consistently in the initial review. The authors used these radiographs to construct a database for determination of cardiomegaly. Numerous parameters related to heart size were obtained in a semiautomated analysis of these radiographs, and the use of each parameter for detection of cardiomegaly was evaluated by means of receiver operating characteristic analysis. The authors also examined whether the accuracy would be improved when they applied multivariate analysis to a pair of parameters. From the analyses of the individual parameters, the automatically determined cardiothoracic ratio was found to be the single most effective measure for detecting cardiomegaly in chest radiographs. However, multivariate analysis provided results superior to those with an individual parameter.