Back

Choroid plexus calcification detection using quantitative susceptibility mapping MRI

Hett, K.; Dubois, A.; Bonitz, I.; Considine, C. M.; Eaton, J.; Mcknight, C. D.; Claassen, D. O.; Donahue, M. J. J.; Trujillo, P.

2026-05-28 radiology and imaging
10.64898/2026.05.26.26354154 medRxiv
Show abstract

Purpose. The choroid plexus (ChP) is the primary source of cerebrospinal fluid and an emerging marker of cerebral health, with enlargement and hypoperfusion reported in aging and neurodegeneration. However, frequent ChP calcifications can confound volumetric and perfusion measures. Although computed tomography (CT) is the gold standard for detecting calcification, it is rarely available in research MRI. Quantitative susceptibility mapping (QSM) offers an alternative sensitive to diamagnetic mineralization but lacks validated susceptibility thresholds. Method. Participants underwent CT and MRI within four weeks, including 3D T1-weighted and a multi-echo gradient echo QSM MRI. ChP calcifications were identified on CT using standard diagnostic criteria. Using the Bayes decision boundary framework, we identified optimal susceptibility thresholds for detecting diamagnetic signals consistent with calcification and compared these thresholds with multiple density levels measured on gold standard CT images. Results. Across all participants (n=20; age=62.2+-12.0 yrs), the optimal susceptibility threshold separating background ChP signal from calcifications was -0.10 ppm at 60 HU (low-density) and -0.15 ppm at 100 HU (high-density). Susceptibility values within calcified tissue exhibited a linear relationship with CT-derived tissue density. A significant positive association was observed between ChP volume and calcification volume among participants with detectable calcification (beta=2.26, p=0.047). Conclusion. This work should provide a practical framework for quantifying ChP calcifications routinely from MRI. The observed relationship between ChP volume and calcification volume highlights the importance of accounting for calcified tissue, particularly when calcification burden is substantial, when investigating ChP abnormalities in aging and neurodegenerative disease.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Journal of Magnetic Resonance Imaging
14 papers in training set
Top 0.1%
22.0%
2
NeuroImage: Clinical
132 papers in training set
Top 0.3%
12.2%
3
Imaging Neuroscience
242 papers in training set
Top 0.3%
9.9%
4
Scientific Reports
3102 papers in training set
Top 20%
6.2%
50% of probability mass above
5
Human Brain Mapping
295 papers in training set
Top 1%
4.7%
6
PLOS ONE
4510 papers in training set
Top 40%
3.5%
7
Brain Communications
147 papers in training set
Top 0.8%
3.5%
8
Alzheimer's Research & Therapy
52 papers in training set
Top 0.8%
3.0%
9
NeuroImage
813 papers in training set
Top 3%
2.3%
10
Neurobiology of Aging
95 papers in training set
Top 1%
1.8%
11
Fluids and Barriers of the CNS
21 papers in training set
Top 0.1%
1.7%
12
Frontiers in Neurology
91 papers in training set
Top 3%
1.6%
13
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
22 papers in training set
Top 0.2%
1.3%
14
Magnetic Resonance in Medicine
72 papers in training set
Top 0.4%
1.3%
15
Brain Research
35 papers in training set
Top 1%
1.3%
16
Frontiers in Neuroscience
223 papers in training set
Top 5%
1.2%
17
NMR in Biomedicine
24 papers in training set
Top 0.3%
1.2%
18
eBioMedicine
130 papers in training set
Top 2%
1.2%
19
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.4%
1.1%
20
Magnetic Resonance Imaging
21 papers in training set
Top 0.4%
0.9%
21
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
38 papers in training set
Top 1%
0.8%
22
Scientific Data
174 papers in training set
Top 3%
0.7%
23
Brain Stimulation
112 papers in training set
Top 1%
0.7%
24
Cerebral Cortex
357 papers in training set
Top 2%
0.7%
25
Stroke
35 papers in training set
Top 0.8%
0.7%
26
Aging Cell
144 papers in training set
Top 3%
0.7%
27
European Journal of Neuroscience
168 papers in training set
Top 2%
0.7%
28
Brain and Behavior
37 papers in training set
Top 2%
0.7%
29
Psychiatry Research: Neuroimaging
16 papers in training set
Top 0.4%
0.6%
30
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.7%
0.6%