Michelle Fabian
Icahn School of Medicine at Mount Sinai
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Publication
Featured researches published by Michelle Fabian.
PLOS ONE | 2017
Matilde Inglese; Maria Petracca; Enricomaria Mormina; Anat Achiron; Rebecca Straus-Farber; Shmuel Miron; Michelle Fabian; Stephen Krieger; Aaron E. Miller; Fred D. Lublin; Maria Pia Sormani
Background and purpose To assess whether cerebellar volumes changes could represent a sensitive outcome measure in primary-progressive MS. Material and methods Changes in cerebellar volumes over one-year follow-up, estimated in 26 primary-progressive MS patients and 20 controls with Freesurfer longitudinal pipeline, were assessed using Wilcoxon test and tested for their correlation with disability worsening by a logistic regression. Clinical worsening was defined as EDSS score increase or change of >20% for 25-foot walk test or 9-hole peg test scores at follow-up. Sample sizes for given treatment effects and power were calculated. The findings were validated in an independent cohort of 20 primary-progressive MS patients. Results Significant changes were detected in brain T1 lesion volume (p<0.01), cerebellar T2 and T1 lesion volume (p<0.01 and p<0.05), cerebellar volume, cerebellar cortex volume, and cerebellar WM volume (p<0.001). Only cerebellar volume and cerebellar cortex volume percentage change were significantly reduced in clinically progressed patients when compared to patients who did not progress (p<0.01; respectively AUC of 0.91 and 0.96). Cerebellar volume percentage changes were consistent in the exploration and validation cohorts (cerebellar volume -1.90±1.11% vs -1.47±2.30%; cerebellar cortex volume -1.68±1.41% vs -1.56±2.23%). Based on our results the numbers of patients required to detect a 30% effect are 81 per arm for cerebellar volume and 162 per arm for cerebellar cortex volume (90% power, type 1 error alpha = 0.05). Conclusions Our results suggest a role for cerebellar cortex volume and cerebellar volume as potential short-term imaging metrics to monitor treatment effect in primary-progressive MS clinical trials.
PLOS ONE | 2016
Asaff Harel; Antonia Ceccarelli; Colleen Farrell; Michelle Fabian; Jonathan Howard; Claire Riley; Aaron E. Miller; Fred D. Lublin; Matilde Inglese
Previous studies comparing phase sensitive inversion recovery (PSIR) to double inversion recovery (DIR) have demonstrated that use of PSIR improves cross-sectional in vivo detection of cortical lesions (CL) in multiple sclerosis. We studied the utility of PSIR in detection/characterization of accrual of CL over time in a 1-year longitudinal study in primary progressive multiple sclerosis (PPMS) compared to DIR. PSIR and DIR images were acquired with 3T magnetic resonance imaging (MRI) in 25 patients with PPMS and 19 healthy controls at baseline, and after 1 year in 20 patients with PPMS. CL were classified as intracortical, leucocortical or juxtacortical. Lesion counts and volumes were calculated for both time points from both sequences and compared. Correlations with measures of physical and cognitive disability were determined as well as new CL counts and volumes. Compared to DIR, PSIR led to detection of a higher number of CL involving a larger proportion of patients with PPMS both cross-sectionally (p = 0.006, 88%) and longitudinally (p = 0.007, 95%), and led to the reclassification of a third of CL seen on DIR at each time point. Interestingly, PSIR was more sensitive to new CL accumulation over time compared to DIR. PSIR is a promising technique to monitor cortical damage and disease progression in patients with PPMS over a short-term follow-up.
Neuroimmunology and Neuroinflammation | 2018
Ilana Katz Sand; Michelle Fabian; Russell Telford; Thomas A. Kraus; Mirna Chehade; Madhan Masilamani; Thomas M. Moran; Colleen Farrell; Shelly Ebel; Lawrence J. Cook; John Rose; Fred D. Lublin
Objective This pilot study preliminarily examined the efficacy and tolerability of cetirizine as an add-on to standard therapy for neuromyelitis optica (NMO). Methods Eligible participants met the Wingerchuk 2006 diagnostic criteria or had a single typical episode along with positive NMO immunoglobulin G. After baseline clinical and laboratory assessments, participants began treatment with cetirizine 10 mg orally daily, in addition to their usual disease-modifying therapy for NMO, and continued for 1 year. The primary end point was the annualized relapse rate (ARR) while on the same disease-modifying therapy before starting cetirizine compared with after taking cetirizine. Additional end points included disability (Expanded Disability Status Scale [EDSS]), relapse severity, tolerability, especially with respect to drowsiness measured by the Epworth Sleepiness Scale (ESS), and laboratory parameters. Results The ARR before cetirizine was 0.4 ± 0.80 and after cetirizine was 0.1 ± 0.24 (p = 0.047). There was no statistically significant difference in the EDSS (mean 3.9 ± 2.18 before the start of the study and 3.2 ± 2.31 at the conclusion of the study, p = 0.500). The ESS remained fairly consistent throughout the study (mean 6.5 ± 5.33 at baseline and 6.9 ± 4.50 at month 12, p = 0.740). Laboratory studies were unrevealing. Conclusions In this pilot study, cetirizine was well tolerated, and the prespecified primary efficacy end point was satisfied. However, the open-label design and the small sample size of this pilot study preclude definitive conclusions. Further research is needed. Classification of evidence This study provides Class IV evidence that in patients with NMO, the addition of cetirizine to standard therapy is safe, well tolerated, and reduces relapses.
European Journal of Neurology | 2018
Maria Petracca; James F. Sumowski; Michelle Fabian; Aaron E. Miller; Fred D. Lublin; Matilde Inglese
Cognitive impairment in primary‐progressive multiple sclerosis (PP‐MS) is correlated with global brain atrophy. Unfortunately, brain volume computation requires processing resources that are not widely available in clinical practice. Therefore, we decided to test the predictive role of retinal atrophy metrics on cognitive decline, applying them as a proxy of gray matter atrophy in PP‐MS.
NeuroImage: Clinical | 2017
Matteo Pardini; Maria Petracca; Asaff Harel; Lazar Fleysher; Niels Oesingmann; Giulia Bommarito; Michelle Fabian; Declan Chard; Fred D. Lublin; Matilde Inglese
In subjects with multiple sclerosis (MS), pathology is more frequent near the inner and outer surfaces of the brain. Here, we sought to explore if in subjects with primary progressive MS (PPMS) cortical lesion load is selectively associated with the severity of periventricular normal appearing white matter (NAWM) damage, as assessed with diffusion weighted imaging. To this aim, twenty-four subjects with PPMS and twenty healthy controls were included in the study. Using diffusion data, skeletonized mean diffusivity (MD) NAWM maps were computed excluding WM lesions and a 2 mm-thick peri-lesional rim. The supra-tentorial voxels between 2 and 6 mm of distance from the lateral ventricles were included in the periventricular NAWM mask while the voxels between 6 and 10 mm from the lateral ventricles were included in the deep NAWM mask; mean MD values were then computed separately for these two masks. Lastly, cortical lesions were assessed on phase-sensitive inversion recovery (PSIR) images and cortical thickness was quantified on volumetric T1 images. Our main result was the observation in the PPMS group of a significant correlation between periventricular NAWM MD values and cortical lesion load, with a greater cortical lesion burden being associated with more abnormal periventricular NAWM MD. Conversely, there was no correlation between cortical lesion load and deep NAWM MD values or periventricular WM lesions. Our data thus suggest that a common – and relatively selective - factor plays a role in the development of both cortical lesion and periventricular NAWM abnormalities in PPMS.
Neuroimmunology and Neuroinflammation | 2016
Michelle Kaku; Susan Shin; Martin Goldstein; Julia Pleet; Michelle Fabian
Archive | 2018
Aaron E. Miller; Tracy M. DeAngelis; Michelle Fabian; Ilana Katz Sand
Archive | 2018
Aaron E. Miller; Tracy M. DeAngelis; Michelle Fabian; Ilana Katz Sand
Archive | 2018
Aaron E. Miller; Tracy M. DeAngelis; Michelle Fabian; Ilana Katz Sand
Archive | 2018
Aaron E. Miller; Tracy M. DeAngelis; Michelle Fabian; Ilana Katz Sand