Related Experiment Video

Updated: May 22, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

A simplified, tier-based method for clinical evaluation of diastolic function

Edgar Argulian1, Sherif F Nagueh2, Julia Grapsa3

  • 1Mount Sinai Morningside, Icahn School of Medicine at Mount Sinai, 1111 Amsterdam Avenue, New York, NY 10025, USA.

European Heart Journal. Cardiovascular Imaging
|May 20, 2026
PubMed

Insights

This review simplifies assessing left ventricular diastolic function using the 2025 American Society of Echocardiography guidelines. It offers a probabilistic framework for improved clinical interpretation and consistent application in practice.

Area of Science:

  • Cardiology
  • Echocardiography
  • Medical Imaging

Background:

  • Assessing left ventricular diastolic function is complex and faces challenges with terminology, load dependence, and integrating discordant echocardiographic parameters.
  • Consistent clinical application requires simplification of current assessment methods.

Purpose of the Study:

  • To present a simplified, clinically oriented approach to diastolic function assessment based on contemporary imaging guidelines, focusing on the 2025 American Society of Echocardiography recommendations.
  • To enhance clinical relevance, interpretive confidence, and consistent application of diastolic function assessment in routine practice.

Main Methods:

  • Review of contemporary imaging guidelines for diastolic function assessment, emphasizing the 2025 American Society of Echocardiography recommendations.
  • Application of a probabilistic diagnostic framework integrating clinical context, echocardiographic findings, and advanced imaging.
  • Discussion of emerging artificial intelligence-based approaches for diastolic dysfunction assessment.

Main Results:

  • A simplified, probabilistic framework is proposed for diastolic function assessment.
  • Integration of clinical context and advanced imaging improves diagnostic accuracy.
  • Artificial intelligence approaches offer potential for enhanced diagnostic and prognostic assessment.

Conclusions:

  • The proposed pragmatic approach aims to improve the consistency and confidence in assessing diastolic function in clinical practice.
  • Contemporary guidelines and advanced imaging, including AI, are crucial for accurate diastolic function evaluation.
  • Simplification of assessment protocols is key for widespread clinical adoption.

Keywords:
diastolic dysfunctionfilling pressuresheart failure

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