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Abstract #2336

MRI Grading Scores Significantly Improve the Prognostic Performance of Standalone Clinical Model for Guillain-Barré Syndrome

Qiang Fang1, Danyang Wu1, and Jingzhen He1
1Department of Radiology, Qilu Hospital of Shandong University, Jinan, Shandong, China

Synopsis

Keywords: Peripheral Nerves, Nervous system

Motivation: Guillain-Barré syndrome (GBS) has an unpredictable outcome, and it's vital to find ways to forecast its progression, as some patients may face severe disability or even death.

Goal(s): The study aimed to assess the value of MRI grading scores for muscle denervation edema in predicting the course of GBS.

Approach: We conducted a retrospective analysis on 354 GBS patients, employing a 5-point MRI grading scale. We compared the predictive capabilities of models using only clinical data against those that combined clinical information with MRI findings.

Results: The results clearly demonstrated that including MRI data significantly enhanced the accuracy of predictions for patient outcomes.

Impact: MRI grading scores may improve GBS prognosis, enable personalized treatment, and potentially reduce morbidity. This method paves the way for incorporating imaging biomarkers in neurological disorders to improve clinical strategies.

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Keywords

clinical