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Prognostic value of enhanced cine cardiac MRI-based radiomics in dilated cardiomyopathy

  • 0Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
International Journal of Cardiology +

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October 6, 2024

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October 6, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Enhanced cardiac magnetic resonance radiomics accurately identifies high-risk dilated cardiomyopathy (DCM) patients. This imaging tool aids in predicting mortality and the need for heart transplantation, improving patient care.

Area Of Science

  • Cardiology
  • Medical Imaging
  • Radiomics

Background

  • Precise identification of high-risk dilated cardiomyopathy (DCM) is crucial for patient management.
  • Cardiac magnetic resonance (CMR) imaging offers detailed cardiac visualization.
  • Radiomics extracts quantitative features from medical images.

Purpose Of The Study

  • To evaluate the prognostic capability of enhanced cine CMR-based radiomics in DCM.
  • To develop a predictive model for adverse outcomes in DCM patients.

Main Methods

  • 401 DCM patients were prospectively enrolled (281 training, 120 testing).
  • Radiomic features were extracted from enhanced cine CMR images and selected using LASSO.
  • Logistic regression models predicted all-cause mortality and heart transplantation.

Main Results

  • 13 radiomic features were selected.
  • The Rad_Combined model (clinical, CMR, radiomics) achieved AUCs of 0.836 (training) and 0.835 (testing).
  • High-risk patients identified by Rad_Combined had significantly shorter survival (HR=7.74, P<0.001; HR=4.84, P<0.001).

Conclusions

  • The Rad_Combined model demonstrates effectiveness in DCM risk stratification.
  • This radiomics approach can aid clinical decision-making for DCM patients.

Keywords:

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