Reproducibility of cardiac volumetric parameters derived from fully automatically prescribed image planes: a direct comparison to manual planning at 1.5-T and 3-T MRI - Scorecard - MDSpire

Reproducibility of cardiac volumetric parameters derived from fully automatically prescribed image planes: a direct comparison to manual planning at 1.5-T and 3-T MRI

  • By

  • Karolin K. Deyerberg

  • Felix G. Meinel

  • Lena-Maria Watzke

  • Ann-Christin Klemenz

  • Mathias Manzke

  • Margarita Gorodezky

  • Gaspar Delso

  • Antonia Dalmer

  • Roberto Lorbeer

  • Danagul Zhexenova

  • Marc-André Weber

  • Benjamin Böttcher

  • February 21, 2026

  • 0 min

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Clinical Scorecard: Comparison of Reproducibility in Cardiac Volumetric Measurements from Fully Automated Image Planes Versus Manual Planning in 1.5-T and 3-T MRI

At a Glance

CategoryDetail
ConditionCardiac volumetric assessment via cardiac magnetic resonance imaging (CMR)
Key MechanismsComparison of reproducibility between fully automated AI-based plane prescription and manual planning in CMR at 1.5-T and 3-T field strengths
Target PopulationHealthy adult subjects without cardiac or systemic diseases, aged ≥18 years
Care SettingSpecialized imaging centers performing cardiac MRI

Key Highlights

  • CMR is the gold standard for quantitative cardiac volume and function assessment with superior reproducibility over echocardiography.
  • Manual planning of cardiac image planes is reproducible but requires trained personnel and is time-consuming, limiting accessibility.
  • AI-based automated plane prescription aims to standardize image acquisition, reduce variability, and increase CMR availability without compromising reproducibility.

Guideline-Based Recommendations

Diagnosis

  • Use CMR for quantitative assessment of cardiac volumes and myocardial function as recommended by international guidelines.
  • Exclude patients with contraindications for MRI or structural/functional heart diseases when assessing reproducibility in healthy cohorts.

Management

  • Implement standardized imaging protocols and post-processing techniques to improve reproducibility.
  • Consider AI-based automated plane prescription to streamline CMR acquisition and reduce operator dependency.

Monitoring & Follow-up

  • Perform follow-up CMR scans with consistent imaging plane prescription to accurately track disease progression.
  • Maintain similar field strength or account for differences when comparing serial volumetric measurements.

Risks

  • Potential variability due to technical and physiological factors despite standardized protocols.
  • Limitations in manual planning include operator dependency and temporal demands.
  • Automated planning must be validated to ensure it does not reduce measurement reproducibility.

Patient & Prescribing Data

Healthy adult volunteers with equal gender distribution across age groups, free of cardiac and systemic diseases

Automated AI-based plane prescription can potentially replace manual planning without loss of reproducibility, facilitating broader CMR access.

Clinical Best Practices

  • Ensure ethical approval and informed consent when conducting CMR reproducibility studies.
  • Use standardized accelerated cine sequences with breath-holds for image acquisition.
  • Apply AI-based automated plane prescription tools validated against manual planning by experienced technicians.
  • Schedule follow-up scans within clinically realistic intervals (e.g., 2–5 weeks for intra-field strength, 1–2 hours for inter-field strength comparisons).
  • Exclude scans with incomplete left ventricular coverage to maintain data integrity.

References

Original Source(s)

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