Imaging of Myocardial Fibrosis in Patients with End-Stage Renal Disease: Current Limitations and Future Possibilities

M P M Graham-Brown1, A S Patel2, D J Stensel3

  • 1John Walls Renal Unit, Leicester General Hospital, Leicester, UK; National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK; Department of Cardiovascular Science, NIHR Leicester Cardiovascular Biomedical Research Unit, Leicester, UK.

Insights

Cardiovascular disease in end-stage renal disease (ESRD) patients involves unique processes. New imaging biomarkers are needed to accurately assess myocardial fibrosis, a key predictor of cardiovascular death in ESRD.

Area of Science:

  • Nephrology
  • Cardiology
  • Medical Imaging

Background:

  • Cardiovascular disease (CVD) in end-stage renal disease (ESRD) differs from the general population.
  • Pathological changes include left ventricular hypertrophy, dilatation, and myocardial fibrosis.
  • The benefit of reducing left ventricular hypertrophy on cardiovascular mortality in ESRD is uncertain.

Purpose of the Study:

  • To address the need for novel imaging biomarkers in ESRD.
  • To identify imaging methods for myocardial fibrosis in ESRD patients.
  • To evaluate the reliability and limitations of current techniques for future clinical trials.

Main Methods:

  • Review of current imaging modalities for myocardial fibrosis in ESRD.
  • Assessment of technique reliability and challenges specific to ESRD.
  • Discussion on developing robust imaging biomarkers.

Main Results:

  • Postmortem studies link myocardial fibrosis extent to cardiovascular death in hemodialysis patients.
  • Accurate imaging of myocardial fibrosis is a potential biomarker target.
  • Current imaging methods have specific challenges and limitations in ESRD.

Conclusions:

  • Novel imaging biomarkers are crucial for understanding CVD in ESRD.
  • Myocardial fibrosis imaging holds promise as a biomarker.
  • Further development of imaging techniques is necessary for clinical trial application.

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