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Related Experiment Video

Updated: Jun 6, 2026

Manual Segmentation of the Human Choroid Plexus Using Brain MRI
04:25

Manual Segmentation of the Human Choroid Plexus Using Brain MRI

Published on: December 15, 2023

Choroid plexus calcification detection using quantitative susceptibility mapping MRI.

Kilian Hett, Abigail Dubois, Isabelle Bonitz

    Medrxiv : the Preprint Server for Health Sciences
    |June 5, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    Quantitative susceptibility mapping (QSM) can now reliably detect choroid plexus (ChP) calcifications using validated MRI thresholds. This helps accurately measure ChP volume in aging and neurodegenerative research.

    Area of Science:

    • Neuroimaging
    • Biomarkers
    • Medical Physics

    Background:

    • The choroid plexus (ChP) is crucial for cerebrospinal fluid production and brain health.
    • ChP enlargement and hypoperfusion are linked to aging and neurodegeneration.
    • ChP calcifications complicate volumetric and perfusion assessments in MRI studies.

    Purpose of the Study:

    • To establish validated quantitative susceptibility mapping (QSM) thresholds for detecting choroid plexus calcifications using MRI.
    • To compare QSM-based calcification detection with gold-standard CT imaging.
    • To investigate the relationship between ChP volume and calcification burden.

    Main Methods:

    • Participants underwent both CT and MRI scans within four weeks.
    • 3D T1-weighted and multi-echo gradient echo QSM MRI sequences were acquired.

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  • A Bayes decision boundary framework identified optimal QSM susceptibility thresholds for calcification detection.

    • Main Results:

    • Optimal QSM thresholds for calcification were determined: -0.10 ppm (60 HU) for low-density and -0.15 ppm (100 HU) for high-density.
    • QSM susceptibility values showed a linear correlation with CT-derived tissue density.
    • A significant positive association was found between ChP volume and calcification volume (β=2.26, p=0.047).

    Conclusions:

    • This study provides a practical framework for routine quantification of ChP calcifications via MRI.
    • Accounting for calcification volume is essential for accurate ChP abnormality assessment in aging and neurodegenerative diseases.
    • QSM offers a viable alternative to CT for detecting ChP calcifications in research settings.