MRI-based prediction of adverse cardiac remodeling after murine myocardial infarction. 2012

Andrea Protti, and Xuebin Dong, and Alexander Sirker, and Rene Botnar, and Ajay M Shah
Cardiovascular Division, King's College London British Heart Foundation Centre of Excellence, United Kingdom. andrea.protti@kcl.ac.uk

Myocardial infarction (MI) results in adverse cardiac remodeling leading to heart failure and increased mortality. Experimental mouse models of MI are extensively used to identify mechanisms underlying adverse remodeling, but the extent of remodeling that occurs may be highly variable and can limit the utility to discover new disease pathways. The ability to predict the development of significant late post-MI remodeling would be invaluable in conducting such studies by increasing throughput and efficiency. This study aimed to identify potential thresholds of cardiac magnetic resonance imaging (MRI) parameters measured early after murine MI that would predict the development of significant adverse remodeling at 4 wk. MI was achieved by permanent coronary ligation and animals (n = 84) were followed up for 4 wk subsequently. MRI was used to assess left ventricular (LV) volumes, mass and ejection fraction, as well as infarct size (IS). Late gadolinium enhancement cine-MRI was performed at 2 days with standard cine-MRI at 30 days post-MI. Utilizing multiple logistic regression, we found that IS >36%, at 2 days post-MI, was the overall best single predictor of adverse remodeling at 30 days (sensitivity 80.7%, specificity 88.9%; C-statistic of 0.939 from receiver-operating curve analysis). LV end-systolic volume (LVESV) >32 μl was also an excellent predictor comparable to IS. The combination of IS >36% and/or LVESV >32 μl provided the highest predictive values for late adverse remodeling among multiple predictors. This study demonstrates that MRI-based estimation of IS and ESV during the acute phase of murine MI are good predictors of subsequent adverse remodeling that may aid experimental design.

UI MeSH Term Description Entries
D008810 Mice, Inbred C57BL One of the first INBRED MOUSE STRAINS to be sequenced. This strain is commonly used as genetic background for transgenic mouse models. Refractory to many tumors, this strain is also preferred model for studying role of genetic variations in development of diseases. Mice, C57BL,Mouse, C57BL,Mouse, Inbred C57BL,C57BL Mice,C57BL Mice, Inbred,C57BL Mouse,C57BL Mouse, Inbred,Inbred C57BL Mice,Inbred C57BL Mouse
D009203 Myocardial Infarction NECROSIS of the MYOCARDIUM caused by an obstruction of the blood supply to the heart (CORONARY CIRCULATION). Cardiovascular Stroke,Heart Attack,Myocardial Infarct,Cardiovascular Strokes,Heart Attacks,Infarct, Myocardial,Infarction, Myocardial,Infarctions, Myocardial,Infarcts, Myocardial,Myocardial Infarctions,Myocardial Infarcts,Stroke, Cardiovascular,Strokes, Cardiovascular
D009206 Myocardium The muscle tissue of the HEART. It is composed of striated, involuntary muscle cells (MYOCYTES, CARDIAC) connected to form the contractile pump to generate blood flow. Muscle, Cardiac,Muscle, Heart,Cardiac Muscle,Myocardia,Cardiac Muscles,Heart Muscle,Heart Muscles,Muscles, Cardiac,Muscles, Heart
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D003287 Contrast Media Substances used to allow enhanced visualization of tissues. Radiopaque Media,Contrast Agent,Contrast Agents,Contrast Material,Contrast Materials,Radiocontrast Agent,Radiocontrast Agents,Radiocontrast Media,Agent, Contrast,Agent, Radiocontrast,Agents, Contrast,Agents, Radiocontrast,Material, Contrast,Materials, Contrast,Media, Contrast,Media, Radiocontrast,Media, Radiopaque
D004195 Disease Models, Animal Naturally-occurring or experimentally-induced animal diseases with pathological processes analogous to human diseases. Animal Disease Model,Animal Disease Models,Disease Model, Animal
D005260 Female Females
D000818 Animals Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA. Animal,Metazoa,Animalia
D012372 ROC Curve A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli. ROC Analysis,Receiver Operating Characteristic,Analysis, ROC,Analyses, ROC,Characteristic, Receiver Operating,Characteristics, Receiver Operating,Curve, ROC,Curves, ROC,ROC Analyses,ROC Curves,Receiver Operating Characteristics

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