What you see is not always what you get—MRI-based ganglionic eminence volumetry challenges subjective assessment in CNS anomalies - Report - MDSpire

What you see is not always what you get—MRI-based ganglionic eminence volumetry challenges subjective assessment in CNS anomalies

  • By

  • Marlene Stuempflen

  • Patric Kienast

  • Victor U. Schmidbauer

  • Michael Weber

  • Athena Taymourtash

  • Johannes Tischer

  • Tim Dorittke

  • Julia Binder

  • Daniela Prayer

  • Gregor Kasprian

  • May 21, 2026

  • 0 min

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MRI Analysis of Ganglionic Eminence Volume Reveals Limitations of Subjective Evaluations

Overview

This study discusses the limitations of subjective assessments of the ganglionic eminence (GE) in fetal MRI, particularly in patients with structural CNS anomalies.

Background

The ganglionic eminence is crucial for the development of inhibitory interneurons and projection neurons in the fetal brain. Structural anomalies in the GE can lead to developmental issues, including epilepsy. Accurate assessment of the GE is essential for understanding potential neurodevelopmental disorders in fetuses.

Data Highlights

No numerical data or trial data provided in the source material.

Key Findings

['Structural anomalies in the GE can lead to developmental delays and epilepsy.', 'Subjective assessment of the GE in fetal MRI poses risks of missing subtle anomalies.', 'Volumetric analysis using super-resolution fetal MRI provides a more objective assessment of the GE.', 'Patients with subjectively enlarged GE were compared to controls without structural CNS anomalies.', 'GE enlargement is associated with various structural anomalies.']

Clinical Implications

Incorporating volumetric analysis in fetal MRI assessments may improve detection of GE anomalies.

Conclusion

The study highlights the importance of objective volumetric measurements in evaluating the ganglionic eminence.

Related Resources & Content

  1. European Radiology, 2026 -- What you see is not always what you get—MRI-based ganglionic eminence volumetry challenges subjective assessment in CNS anomalies
  2. ISUOG Practice Guidelines, 2023 -- performance of fetal magnetic resonance imaging
  3. Frontiers, 2025 -- Expert consensus on fetal ventriculomegaly: evidence-based recommendations for 23 key clinical questions
  4. European Radiology — Differentiating Atypical Primary Central Nervous System Lymphoma from Glioblastoma Using Multiparametric MRI Techniques: Analyzing Non-Enhancing Volume, Apparent Diffusion Coefficient, and Arterial Spin Labeling
  5. Pediatric Cardiology — Volumetric Analysis of Central Nervous System Alterations in Children with Heart Failure
  6. European Radiology — A Visual Assessment Tool for Evaluating Amygdala Atrophy on MRI
  7. Journal of Neuro-Oncology — Hippocampal Volume Alterations in Glioblastoma: Potential Indicators of Neuroplasticity?
  8. ISUOG Practice Guidelines (updated): performance of fetal magnetic resonance imaging - Prayer - 2023 - Ultrasound in Obstetrics & Gynecology - Wiley Online Library
  9. Frontiers | Expert consensus on fetal ventriculomegaly: evidence-based recommendations for 23 key clinical questions
  10. What you see is not always what you get—MRI-based ganglionic eminence volumetry challenges subjective assessment in CNS anomalies | European Radiology | Springer Nature Link
  11. What you see is not always what you get-MRI-based ganglionic eminence volumetry challenges subjective assessment in CNS anomalies - PubMed
  12. MRI-based spatio-temporal atlas of ganglionic eminence - PMC
  13. Ganglionic Eminence Anomalies and Coexisting Cerebral Developmental Anomalies on Fetal MR Imaging: Multicenter-Based Review of 60 Cases - PMC
  14. Biometry and volumetry in multi-centric fetal brain magnetic resonance imaging: assessing the bias of super-resolution reconstruction - PubMed
  15. Biometry and volumetry in multi-centric fetal brain magnetic resonance imaging: assessing the bias of super-resolution reconstruction | Pediatric Radiology | Springer Nature Link
  16. Slice-to-Volume Reconstruction of Fetal Brain MR Imaging in Clinical Practice - PubMed
  17. Evaluating reliability of automated quantitative brain morphometry from fetal T2-weighted MRI

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