Relationship between MRI Findings and Urodynamic Parameters in Patients with Multiple Sclerosis: Prediction of Upper Urinary Tract Damage?

Author:

Stritt Kevin1,Bohner Perrine1,Ortlieb Niklas2,Ochs Vincent3ORCID,Grilo Nuno1

Affiliation:

1. Department of Urology, Centre Hospitalier Universitaire Vaudois, University of Lausanne, 1011 Lausanne, Switzerland

2. The Network Foundation, 4052 Basel, Switzerland

3. Department of Biomedical Engineering, Faculty of Medicine, University of Basel, 4056 Basel, Switzerland

Abstract

Lower urinary tract dysfunction is frequently observed in individuals with multiple sclerosis (MS), significantly impacting their quality of life and increasing the risk of upper urinary tract (UUT) damage. Magnetic resonance imaging (MRI) serves as the gold standard imaging technique for identifying demyelinating lesions and aiding in the clinical diagnosis of MS. However, despite its diagnostic utility, the precise relationship between MRI lesions and bladder dysfunction remains poorly established. We aimed to examine the correlation between MRI lesion localizations and both urodynamic parameters and risk factors for UUT damage. In this retrospective study, we conducted a comprehensive review of 201 patients diagnosed with MS who were referred for primary neurourological evaluation, including a videourodynamic study (VUDS). To explore potential significant relationships between the independent variable of MRI lesion localization and the dependent outcome variables, we conducted a multivariate analysis of variance (MANOVA) regression. A significant correlation was observed between the presence of a brainstem lesion and specific urodynamic parameters, including lower maximum cystometric bladder capacity and higher bladder compliance. Similarly, an increased number of diverse MRI lesion localizations demonstrated a significant correlation with these urodynamic parameters. In conclusion, MRI findings did not exhibit a significant association with urodynamic risk factors for UUT damage, thereby limiting their utility in stratifying MS patients for subsequent neurourological assessment and treatment.

Publisher

MDPI AG

Reference29 articles.

1. The Multiple Sclerosis International Federation (2023, July 10). Atlas of MS, 3rd Edition (September 2020): Mapping Multiple Sclerosis around the World. [online]. Available online: https://www.msif.org/wp-content/uploads/2020/12/Atlas-3rd-Edition-Epidemiology-report-EN-updated-30-9-20.pdf.

2. Cortical demyelination and diffuse white matter injury in multiple sclerosis;Kutzelnigg;Brain,2005

3. Revised diagnostic criteria of multiple sclerosis;Milo;Autoimmun. Rev.,2014

4. Course and prognosis of multiple sclerosis assessed by the computerized data processing of 349 patients;Confavreux;Brain,1980

5. Prevalence of Lower Urinary Tract Symptoms in People with Multiple Sclerosis: A Systematic Review and Meta-analysis;Coote;Int. J. MS Care,2020

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