TY - JOUR
T1 - Quantitative assessment of myocardial ultrasound tissue characterization through receiver operating characteristic analysis of Bayesian classifiers
AU - Wagner, Robert F.
AU - Wear, Keith A.
AU - Perez, Julio E.
AU - McGill, Janet B.
AU - Schechtman, Kenneth B.
AU - Miller, James G.
N1 - Funding Information:
From the Office of Science and Technology, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Rockville, Maryland and the *Cardiovascular Division, Department of Medicine and the Biomedical Computer Laboratory, Department of Physics, Washington University, Saint Louis, Missouri. The Washington University group acknowledges support in part by Grants HIA0302 and HL17646 from the National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. The mention of commercial products, their sources, or their use in connection with material reported herein is not to be construed as either an actual or implied endorsement of such products by the Food and Drug Administration.
PY - 1995/6
Y1 - 1995/6
N2 - Objectives. This work proposes a self-consistent assessment methodology for quantitative evaluation of any combination of diagnostic features, with the immediate goal of quantitatively assessing the discriminating power in diabetic patients of features derived from ultrasound backscatter from myocardium. Background. Four features from analysis of left ventricular myocardial ultrasound backscatter have previously been shown to be sensitive to potentially cardiomyopathic changes in patients with insulin-dependent diabetes mellitus who have no overt heart disease. The measured features were significantly different between such patients and normal control subjects, as well as among groups of such patients with and without systemic complications of the disease. The quantitative discriminating potential of the features was not assessed. Methods. Multivariate classifier functions were constructed and analyzed by using the methodology of the receiver operating characteristic curve, which allows quantitative assessment of the discriminating power of these features, alone or in combination. The area under the receiver operating characteristic curve-the true positive rate averaged over all false positive rates-was used as a summary measure of performance. Results. In distinguishing patients with insulin-dependent diabetes mellitus from normal control subjects, the most discriminating combination of ultrasound features for the detection of such changes in these patients yielded receiver operating characteristic curves with area measures of ∼0.80; for such patients with retinopathy the measure increased to 0.90. This performance is comparable to that of many commonly used diagnostic tests. Conclusions. A self-consistent set of evaluation methodologies has quantitatively demonstrated the sensitivity of four ultrasound backscatter features to otherwise latent changes in myocardial structure that accompany the evolution of insulin-dependent diabetes mellitus. The results are remarkable in themselves and suggest the potential of the features for the general field of cardiac ultrasound tissue characterization.
AB - Objectives. This work proposes a self-consistent assessment methodology for quantitative evaluation of any combination of diagnostic features, with the immediate goal of quantitatively assessing the discriminating power in diabetic patients of features derived from ultrasound backscatter from myocardium. Background. Four features from analysis of left ventricular myocardial ultrasound backscatter have previously been shown to be sensitive to potentially cardiomyopathic changes in patients with insulin-dependent diabetes mellitus who have no overt heart disease. The measured features were significantly different between such patients and normal control subjects, as well as among groups of such patients with and without systemic complications of the disease. The quantitative discriminating potential of the features was not assessed. Methods. Multivariate classifier functions were constructed and analyzed by using the methodology of the receiver operating characteristic curve, which allows quantitative assessment of the discriminating power of these features, alone or in combination. The area under the receiver operating characteristic curve-the true positive rate averaged over all false positive rates-was used as a summary measure of performance. Results. In distinguishing patients with insulin-dependent diabetes mellitus from normal control subjects, the most discriminating combination of ultrasound features for the detection of such changes in these patients yielded receiver operating characteristic curves with area measures of ∼0.80; for such patients with retinopathy the measure increased to 0.90. This performance is comparable to that of many commonly used diagnostic tests. Conclusions. A self-consistent set of evaluation methodologies has quantitatively demonstrated the sensitivity of four ultrasound backscatter features to otherwise latent changes in myocardial structure that accompany the evolution of insulin-dependent diabetes mellitus. The results are remarkable in themselves and suggest the potential of the features for the general field of cardiac ultrasound tissue characterization.
UR - http://www.scopus.com/inward/record.url?scp=0029073784&partnerID=8YFLogxK
U2 - 10.1016/0735-1097(95)00038-6
DO - 10.1016/0735-1097(95)00038-6
M3 - Article
C2 - 7759727
AN - SCOPUS:0029073784
SN - 0735-1097
VL - 25
SP - 1706
EP - 1711
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
IS - 7
ER -