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ADvanced IMage Algebra (ADIMA): a novel method for depicting multiple sclerosis lesion heterogeneity, as demonstrated
Marios C Yiannakas1, Daniel J Tozer, Klaus Schmierer
1Department of Neuroinflammation, University College London, Institute of Neurology, London, UK. m.yiannakas@ucl.ac.uk
Background:
There are modest correlations between multiple sclerosis (MS) disability and white matter lesion (WML) volumes, as measured by T2-weighted (T2w) magnetic resonance imaging (MRI) scans (T2-WML). This may partly reflect pathological heterogeneity in WMLs, which is not apparent on T2w scans.
Objective:
To determine if ADvanced IMage Algebra (ADIMA), a novel MRI post-processing method, can reveal WML heterogeneity from proton-density weighted (PDw) and T2w images.
Methods:
We obtained conventional PDw and T2w images from 10 patients with relapsing-remitting MS (RRMS) and ADIMA images were calculated from these. We classified all WML into bright (ADIMA-b) and dark (ADIMA-d) sub-regions, which were segmented. We obtained conventional T2-WML and T1-WML volumes for comparison, as well as the following quantitative magnetic resonance parameters: magnetisation transfer ratio (MTR), T1 and T2. Also, we assessed the reproducibility of the segmentation for ADIMA-b, ADIMA-d and T2-WML.
Results:
Our study's ADIMA-derived volumes correlated with conventional lesion volumes (p < 0.05). ADIMA-b exhibited higher T1 and T2, and lower MTR than the T2-WML (p < 0.001). Despite the similarity in T1 values between ADIMA-b and T1-WML, these regions were only partly overlapping with each other. ADIMA-d exhibited quantitative characteristics similar to T2-WML; however, they were only partly overlapping. Mean intra- and inter-observer coefficients of variation for ADIMA-b, ADIMA-d and T2-WML volumes were all < 6 % and < 10 %, respectively.
Conclusion:
ADIMA enabled the simple classification of WML into two groups having different quantitative magnetic resonance properties, which can be reproducibly distinguished.
Insights
ADvanced IMage Algebra (ADIMA) reveals white matter lesion (WML) heterogeneity in multiple sclerosis (MS) using MRI. This novel method reproducibly classifies WMLs into distinct subgroups based on quantitative magnetic resonance properties.
Area of Science:
- Neuroimaging
- Radiology
- Biomedical Engineering
Background:
- Correlations between multiple sclerosis (MS) disability and white matter lesion (WML) volumes on T2-weighted (T2w) MRI are modest.
- This limitation may stem from the inability of T2w scans to reveal pathological heterogeneity within WMLs.
Purpose of the Study:
- To evaluate ADvanced IMage Algebra (ADIMA), a novel MRI post-processing technique.
- To determine if ADIMA can identify WML heterogeneity using proton-density weighted (PDw) and T2w images.
Main Methods:
- Conventional PDw and T2w MRI scans from 10 relapsing-remitting MS patients were analyzed.
- ADIMA was used to segment WMLs into bright (ADIMA-b) and dark (ADIMA-d) sub-regions.
- Reproducibility of segmentation for ADIMA-b, ADIMA-d, and T2-WML was assessed.
Main Results:
- ADIMA-derived volumes showed significant correlation with conventional lesion volumes (p < 0.05).
- ADIMA-b demonstrated distinct quantitative magnetic resonance properties (higher T1/T2, lower MTR) compared to T2-WML (p < 0.001).
- ADIMA-d exhibited similar quantitative characteristics to T2-WML, with partial overlap observed between regions.
Conclusions:
- ADIMA effectively classifies WMLs into two distinct subgroups based on quantitative magnetic resonance properties.
- These subgroups possess different pathological characteristics, offering insights into WML heterogeneity.
- The ADIMA method provides reproducible classification of WMLs in MS patients.
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