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Related Experiment Video

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Reproducibility of Deep Gray Matter Atrophy Rate Measurement in a Large Multicenter Dataset.

A Meijerman1,2, H Amiri3,4, M D Steenwijk1

  • 1From the Departments of Radiology and Nuclear Medicine (A.M., H.A., M.D.S., R.A.v.S., K.S.C., H.V.).

AJNR. American Journal of Neuroradiology
|December 2, 2017
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Summary
This summary is machine-generated.

Precise deep gray matter (GM) volume measurement is crucial for tracking disease. This study found that current automated software has limited reproducibility, especially for longitudinal studies, necessitating caution in interpreting results for personalized medicine.

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Area of Science:

  • Neuroimaging
  • Medical Statistics
  • Biomarker Discovery

Background:

  • Accurate in vivo measurement of deep gray matter (GM) volume changes is essential for evaluating disease progression and treatment efficacy.
  • Quantitative data on the reproducibility of deep GM structure volumetry are limited, hindering clinical application.

Purpose of the Study:

  • To assess the reproducibility of deep GM structure volumetry using automated segmentation software.
  • To investigate the reliability of volume change measurements in deep GM structures over one year.

Main Methods:

  • Utilized back-to-back MRI scans from the Alzheimer Disease Neuroimaging Initiative (ADNI) multicenter dataset (n=562).
  • Assessed reproducibility of FreeSurfer and FMRIB Integrated Registration and Segmentation Tool (FIRST) for deep GM structures (caudate nucleus, putamen, amygdala, globus pallidus, thalamus).
  • Employed descriptive statistics, multilevel modeling, and variance component analysis to quantify volume and percentage volume changes.

Main Results:

  • Median absolute back-to-back differences in volume change ranged from 59.6–156.4 μL, and percentage volume change from 1.26%–8.63%.
  • FreeSurfer demonstrated better reproducibility for longitudinal volume and percentage volume changes in several deep GM structures compared to FIRST.
  • Back-to-back differences in 1-year percentage volume change were 1.5–3.5 times larger than the mean measured 1-year volume change.

Conclusions:

  • Longitudinal deep GM atrophy measurements require cautious interpretation due to current reproducibility limitations.
  • Deep GM atrophy measurement techniques necessitate significant improvements in reproducibility for reliable application in personalized medicine.