ASSESSING THE RELATIONSHIP BETWEEN CNS DISEASE BURDEN, URINARY SYMPTOMS AND URODYNAMIC FINDINGS IN PATIENTS WITH MULTIPLE SCLEROSIS UTILIZING MRI SEGMENTATION POST-PROCESSING

You have accessJournal of UrologyImaging/Radiology: Uroradiology III1 Apr 2017MP18-19 ASSESSING THE RELATIONSHIP BETWEEN CNS DISEASE BURDEN, URINARY SYMPTOMS AND URODYNAMIC FINDINGS IN PATIENTS WITH MULTIPLE SCLEROSIS UTILIZING MRI SEGMENTATION POST-PROCESSING Jessica Eastman, Catherine Harris, Alana Christie, Ryan Hutchinson, Ben Wagner, Joseph A. Maldjian, Marco Pinho, and Gary E. Lemack Jessica EastmanJessica Eastman More articles by this author , Catherine HarrisCatherine Harris More articles by this author , Alana ChristieAlana Christie More articles by this author , Ryan HutchinsonRyan Hutchinson More articles by this author , Ben WagnerBen Wagner More articles by this author , Joseph A. MaldjianJoseph A. Maldjian More articles by this author , Marco PinhoMarco Pinho More articles by this author , and Gary E. LemackGary E. Lemack More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.629AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Recent advances in MRI techniques allow more accurate determination of disease load in Multiple Sclerosis (MS) patients. This study was undertaken to assess the relationship between disease burden, lower urinary tract symptoms (LUTS) and urodynamic (UD) findings. METHODS An initial cohort of 30 patients was selected from a database of 613 MS patients prospectively enrolled in our institutional NGB database. Patients with complete data sets (UD testing, Urogenital Distress Inventory (UDI-6) scores, and complete demographic information) were selected for initial analysis. Routine brain MRI images (T2-weighted fluid attenuated inversion recovery - FLAIR) were segmented by a neuroradiologist utilizing a level tracing supervised semi-automated tool with generation of masks containing an overall count (OC) of abnormal appearing voxels (Figure 1). Volume of disease burden (VDB in cm3) was obtained by multiplying OC by voxel dimensions. RESULTS The mean age was 57, 80% were female. Mean time since diagnosis was 17 years, 66.7% had relapsing remitting MS. Mean MCC was 395.4 ml (45-776 ml). Overall, 43.3 % had a PVR > 100 ml, 53.5% had DO, 30% had DOI 53.5% had detrusor sphincter dyssynergia (DSD), and 10% had altered compliance. Mean UDI-6 score was 9. The MRI mean disease burden was 24 cm3 (range 0.82 - 119.01). Patients with low disease burden (<10cc) had DO 85.7% of the time (6/7 patients) versus those with high disease volume (>10cc) who had DO 43.5% of the time (10/23 patients), p=0.050. Those with low disease burden had lower DO amplitude (29.5 vs. 51.1 cm H2O, p=0.61). Altered compliance was not found in patients with low disease burden. No significant differences in PVR, DSD, or questionnaire scores were noted based on total disease burden. After review of 176 discrete CNS areas, there were 12 with multiple UDS and QOL parameters that approached significance involving regions such as the pons, midbrain, and brainstem. CONCLUSIONS Volume and location of CNS burden in MS may be useful in predicting some aspects of LUT dysfunction. Current efforts are under way to expand the patient cohort and focus on the areas of interest identified in this study to refine the relationship between CNS lesions and voiding abnormalities in MS patients. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e228 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Jessica Eastman More articles by this author Catherine Harris More articles by this author Alana Christie More articles by this author Ryan Hutchinson More articles by this author Ben Wagner More articles by this author Joseph A. Maldjian More articles by this author Marco Pinho More articles by this author Gary E. Lemack More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...