Synopsis
Keywords: Neurofluids, Neurofluids, glymphatics, DTI-ALPS
Motivation: Several parameters affect diffusion tensor imaging along the perivascular spaces (DTI-ALPS) index calculation. However, the impact of ROI size, shape, and relative orientation to the lateral ventricle remains unclear, potentially hindering cross-study comparability.
Goal(s): To investigate the influence of ROI characteristics in estimating the DTI-ALPS index.
Approach: Differences in DTI-ALPS index and correlations among 8 ROI types (size, shape, and orientation) were investigated.
Results: DTI-ALPS index calculation depends on ROI size, shape, and orientation. Single-voxel and parallel rectangular ROIs exhibit strong agreement; parallel-parallel and orthogonal-orthogonal ROIs show excellent correlation. However, larger, rectangular ROIs with orthogonal placement result in significant differences and poor correlation.
Impact: Our analysis shows that ROI size, shape, and relative orientation to the
lateral ventricle impact DTI-ALPS index calculation. Therefore, in addition to imaging parameters, ROI characteristics also need to be considered
for comparison among studies.
Introduction
Diffusion tensor imaging along perivascular spaces (DTI-ALPS) aims to
evaluate glymphatic system function noninvasively1. Recently, studies have observed alterations in glymphatic function in
several illnesses, such as Alzheimer’s1–3 and Parkinson’s disease4–6. However, analysis of the DTI-ALPS index has shown inconsistencies that
can limit comparability with other studies. Therefore, effort
is being invested to improve reproducibility and to harmonize calculation of
the DTI-ALPS7,8. Here, we investigate
how the size, shape, and relative orientation (to the lateral ventricle) of the
region-of-interest (ROI) impact DTI-ALPS index calculation.Methods
Eight volunteers (5 female, 3 male; aged 22.9±0.78 years) provided
informed consent and were examined by DTI using a 3T MRI scanner (MAGNETOM Vida,
Siemens Healthineers, Germany). The imaging parameters were: TE/TR=92/4400ms,
FOV=200x200mm2, voxel size=2x2x2mm3, b-values= 0 and 1000s/mm2,
and 64 diffusion directions. Simultaneous multi-slice imaging with a total
acceleration factor of 4 was used. The total duration of the DTI scan was 5:30
min.
Eight ROIs were placed next to the lateral ventricle in the projection,
association, and subcortical areas in a single slice according to a color-coded
fractional anisotropy map by referring to susceptibility-weighted images, using
DSI-Studio. ROIs consisted of a single voxel (v1), 2, 3, and 4 voxels (with
volumes of 8, 16, 24, and 32 mm3, respectively) and were placed parallel
(v2p, v3p, v4p) and orthogonal (v2o, v3o, v4o) to the lateral ventricle, and as
a 4-voxel ROI in a square configuration (v4s), as shown in Fig. 1.
From the tensor matrix, x-, y-, and z-axis diffusivities were obtained,
and the DTI-ALPS index was calculated as mean(DxProj,DxAssoc)/mean(DyProj,DzAssoc)1.
Measurement differences and agreement were investigated using t-test and
intraclass correlation coefficient (ICC). As there was no significant
difference in the DTI-ALPS between the left and right hemispheres, we
considered two values per participant for the analysis.Results
Significant differences were found between parallel and orthogonal ROI
placements (p<0.05). The single-voxel ROI was not significantly different
from the parallel and square ROIs (see Table 1).
In Table 2, the ICC showed that reliability of the single-voxel
measurement was poor compared to the v4s and orthogonal placement (ICC<0.5).
However, it correlated well with parallel voxel positioning
(0.75<ICC<0.9). Reliability is generally poor when the ROIs are placed
orthogonal to the lateral ventricle (red in Table 2). Moderate
(0.5<ICC<0.75) to excellent (ICC>0.9) reliability was shown when
voxels were positioned parallel to the lateral ventricle. Discussion
Comparing the DTI-ALPS indexes from different imaging sequences does not
make sense without harmonization7,8. The same would apply when different ROIs and/or
software are used for the analysis.
Calculation of the DTI-ALPS index has been explored using various ROI
sizes and shapes, including spherical, square or rectangular, and single-voxel.
A previous study reported moderate to good agreement in test-retest using
spherical, cubic, and square ROIs7. However, correlations and differences among
different ROI configurations have not been studied yet.
Here, we observed significant differences between the DTI-ALPS indexes
when the ROIs were placed parallel or orthogonal to the lateral ventricle. Those
differences were reduced, in some cases, with increasing ROI volume.
Additionally, we chose to include single-voxel ROIs in our analysis
because they are most commonly used in publications employing DSI-Studio9,10. These small ROIs are often preferred for their
precision in selecting specific areas.
However, single-voxel ROIs might not be representative of the diffusion
ALPS. Here, ROIs of 2 or more voxels appeared to be more reliable than a single
voxel for analysis.
Single-voxel DTI-ALPS indexes are significantly different from the ROIs
perpendicular to the lateral ventricle, with good ICC for parallel ROIs, but
not for square ones.
However, we cannot extrapolate these results to spherical ROIs. Spherical
ROIs were not included in this analysis because it was challenging to apply
spherical ROIs with consistent diameters using DSI-Studio.
Additionally, spherical ROIs include more than 1 slice, with
partial-volume effects that have not been considered yet.Conclusion
There is no general agreement on the optimal ROI shape, size, and
orientation for calculating the DTI-ALPS index. When comparing DTI-ALPS indexes
from different imaging sequences (TE, number of diffusion directions), imaging plane or using various ROIs, it is
important to consider factors such as ROI shape, size, and relative orientation
to the lateral ventricle, too. These factors can significantly impact the
DTI-ALPS index. Therefore, the ROI characteristics should be mentioned in
publications and be considered when interpreting the results. Acknowledgements
The
project was supported by the University of Luebeck in the form of a doctoral
scholarship for J.C. RudolfReferences
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