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A R-Script for Generating Multiple Sclerosis Lesion Pattern Discrimination Plots.

Robert Marschallinger^1,2, Carmen Tur^3,4, Hannes Marschallinger⁵

¹Department of Geoinformatics, University of Salzburg, Schillerstr 30, 5020 Salzburg, Austria.

|January 15, 2021

Summary

This summary is machine-generated.

A new R script standardizes Multiple Sclerosis (MS) white matter lesion patterns into a 2D plot. This tool aids in analyzing disease progression and treatment effects for MS patients.

Keywords:

MRI MS-Lesion R statistical computing geostatistics multiple sclerosis

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Area of Science:

Neuroimaging and Computational Neuroscience
Medical Statistics and Data Analysis

Background:

Multiple Sclerosis (MS) is a chronic inflammatory demyelinating disease characterized by variable white matter lesion patterns in the central nervous system.
Analyzing the complex spatial and temporal evolution of these lesions is crucial for disease monitoring and treatment evaluation.

Purpose of the Study:

To introduce a novel script for generating the MS-Lesion Pattern Discrimination Plot, a standardized 2D representation of MS white matter lesions.
To facilitate improved follow-up, cross-sectional, and medication impact analyses in Multiple Sclerosis research.

Main Methods:

Utilized geostatistical metrics to reduce complex 3D/4D MS white matter lesion data into a standardized 2D plot.
Developed an R script (LDPgenerator.r) to process Nifti-1 or Analyze-7.5 files containing MS white matter lesion masks.
Generated MS-Lesion Pattern Discrimination Plots, variogram plots, and fitting statistics, outputting to R console and standard files.

Main Results:

The script successfully generates standardized 2D plots from complex MS white matter lesion data.
Output includes visual plots and statistical metrics, aiding in the interpretation of lesion patterns.
The accompanying R script, sample data, and graphics facilitate user implementation and validation.

Conclusions:

The MS-Lesion Pattern Discrimination Plot offers a valuable tool for standardizing and analyzing MS white matter lesion patterns.
The provided R script enables researchers to easily generate these plots, enhancing the analysis of disease progression and treatment efficacy in Multiple Sclerosis.