• AI
  • Molecular Imaging
  • CT
  • X-Ray
  • Ultrasound
  • MRI
  • Facility Management
  • Mammography

Could Cardiac MRI Improve Risk Stratification in Patients with Dilated Cardiomyopathy?

Article

Emerging research suggests that cardiac MRI findings of late gadolinium enhancement, native T1 values and extracellular volume fraction may predict sudden cardiac death-related events in patients with nonischemic dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) reportedly affects one of 2,500 people in the United States and sudden cardiac death (SCD) is responsible for 30 percent of the deaths in this patient population.1,2 However, recent findings with myocardial tissue characterization on cardiac magnetic resonance imaging (MRI) may help identify those at higher risk of SCD and facilitate primary preventive options.

In a prospective study, recently published in Radiology, researchers reviewed data from 858 people (mean age of 48) with nonischemic DCM who had cardiac MRI scans between June 2012 and August 2020. During a 33-month median follow-up period, the study authors noted that 70 patients (8 percent) had SCD-related events.3

After adjustment for factors such as atrial fibrillation, systolic blood pressure and left ventricular ejection fraction, the researchers found that late gadolinium enhancement (LGE) had a 1.87 hazard ratio (HR) for SCD-related events. The study authors also noted a 1.26 HR per 3 percent increases in extracellular volume fraction and a 1.07 HR per 10-msec increase in native T1 value.3

In addition to identifying these independent predictors of SCD-related events, the researchers found the combination of LGE and native T1 mapping beneficial in predicting SCD risk. According to the study, they found the highest annual SCD-related events rate (9.3 percent) in patients with a native T1 value four standard deviations (SDs) above the mean (1382 msec) while the lowest annual SCD-events rate occurred for patients with negative LGE and a native T1 value two SDs below the mean (1292 msec).3

“A risk category based on LGE and native T1 could be used to stratify participants with different risks of experiencing SCD-related events … and was superior to the LGE and left ventricular ejection fraction … in recognizing SCD-related events,” wrote Yucheng Chen, M.D., FACC, who is affiliated with the Department of Cardiology at Sichuan University in Sichuan, China, and colleagues.

For high-risk patients with DCM, the researchers noted a 3.09 HR for heart failure-related events and a 9.71 HR for SCD-related events.3

(Editor's note: For a related article, see "What a New Study Reveals About MRI Use and Implantable Cardioverter Defibrillators.")

In an accompanying editorial, Hajime Sakuma, M.D., Ph.D., noted that T1 mapping with cardiac MRI is routinely employed at many hospitals for patients with DCM.4 While he cautioned that different MRI scanners and data acquisition approaches can lead to varied T1 mapping cutoff values employed to differentiate between normal myocardium and diffuse interstitial fibrosis, Dr. Sakuma said the combination of T1 mapping with LGE on cardiac MRI offers “great potential” in identifying appropriate candidates with DCM who may benefit from ICD treatment.

“The improved risk stratification of arrhythmic end points by the combination of LGE and native T1 shown in the study … has important implications for better selection of patients for ICD therapy,” noted Dr. Sakuma, a professor and chairperson of the Department of Radiology at Mie University in Japan, and past president of the Asian Society of Cardiovascular Imaging.

In regard to study limitations, the researchers acknowledged the limitations of a single-center study. They noted that the low proportion of patients on ICD treatment in the study may have led to underestimation of arrhythmic events. Chen and colleagues pointed out the use of different MRI scanners and techniques can impact the values one may see with native T1 scans and findings with extracellular volume fraction.

Related Videos
Improving the Quality of Breast MRI Acquisition and Processing
Can Diffusion Microstructural Imaging Provide Insights into Long Covid Beyond Conventional MRI?
Emerging MRI and PET Research Reveals Link Between Visceral Abdominal Fat and Early Signs of Alzheimer’s Disease
Nina Kottler, MD, MS
Practical Insights on CT and MRI Neuroimaging and Reporting for Stroke Patients
Related Content
© 2024 MJH Life Sciences

All rights reserved.