Not all those who suffer heart attacks have typical symptoms. Many people, including the elderly, those with renal disease, and women, are at risk of having a silent myocardial infarction.
Not all those who suffer heart attacks have typical symptoms. Many people, including the elderly, those with renal disease, and women, are at risk of having a silent myocardial infarction. People with diabetes, in particular, are among those at highest risk of experiencing a silent MI. Now there is a clinical MRI technique that can identify abnormal myocardium, which signifies a high-risk profile, in diabetic patients.
Using late-enhancement cardiac MR in 133 patients, Harvard University researchers found the technique detected scarred myocardial tissue previously undiagnosed by left ventricular ejection fraction and ECG testing. They also found that those with the abnormal myocardium were more likely to experience other adverse cardiac events, including heart attack, unstable angina, congestive heart failure, and death. Senior investigator Dr. Raymond Kwong, codirector of cardiac MRI and CT at Brigham and Women's Hospital in Boston, presented the study at the 2007 Society for Cardiac Magnetic Resonance meeting in Rome.
Cardiac MR, however, will complement, not replace, current diagnostic tests, Kwong said. Clinical centers in Europe, Asia, and South America already apply the technique, which does not require a new scanner, only upgrades to existing hardware. A steep learning curve might be the only significant limitation. Kwong added that a large-scale trial would be needed to determine whether the technique should be used to screen patients and refer them for further treatment.
In another study presented at the SCMR meeting, Dr. W. Gregory Hundley and colleagues at Wake Forest University in North Carolina found that dobutamine stress perfusion MRI performed on patients with reduced heart function can identify who will die of a heart attack.
They assessed 240 consecutive patients who had a left ventricular ejection fraction lesser than or equal to 55% and were poor candidates for other types of cardiac stress testing. The researchers found a significant link between an increase in the wall motion score index of some patients and their likelihood of myocardial infarction and death. The predictive value was greater when the wall motion index was greater than or equal to 1.7 but lesser than or equal to 2.4.
The procedure might prove useful in clinical practice, particularly for patients who cannot be imaged well with existing procedures, Hundley said.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI Have an Impact with Fertility-Sparing Treatments for Endometrial and Cervical Cancers?
January 9th 2025In a literature review that includes insights from recently issued guidelines from multiple European medical societies, researchers discuss the role of magnetic resonance imaging (MRI) in facilitating appropriate patient selection for fertility-sparing treatments to address early-stage endometrial and cervical cancer.
Surveillance Breast MRI Associated with Lower Risks of Advanced Second Breast Cancers
January 8th 2025After propensity score matching in a study of over 3,000 women with a personal history of breast cancer, researchers found that surveillance breast MRI facilitated a 59 percent lower risk in advanced presentations of second breast cancers.
New Survey Explores Radiologist and Neurologist Comfort Level with AI Triage for Brain MRI
January 7th 2025Survey results revealed that 71 percent of clinicians preferred adjunctive AI in facilitating triage of brain MRI scans and 58 percent were comfortable utilizing AI triage without input from radiologists.