Braeden D Newton1, Katy Wright1, Mandy D Winkler1, Francesca Bovis2, Masaya Takahashi3, Ivan E Dimitrov3,4, Maria Pia Sormani2, Marco C Pinho5, Darin T Okuda1. 1. UT Southwestern Medical Center, Department of Neurology & Neurotherapeutics, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, Clinical Center for Multiple Sclerosis, Dallas, TX. 2. University of Genoa, Department of Health Sciences (DISSAL), Genoa, Italy. 3. Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX. 4. Philips Medical Systems, Cleveland, OH. 5. UT Southwestern Medical Center, Department of Radiology, Dallas, TX.
Abstract
BACKGROUND AND PURPOSE: There remains a need to further refine the ability of clinicians to differentiate multiple sclerosis (MS) from other disease etiologies. Here, we illustrate the value of 3-dimensional (3D) geometric shape and surface lesion characteristics between disease states. METHODS: Standardized 3-Tesla 3D brain magnetic resonance imaging studies were performed on enrolled MS and nonspecific white matter (NSWM) patients. Focal supratentorial lesions were identified, reconstructed using maximum intensity projection, manually segmented, and 3D printed. Printed 3D models were randomly evaluated by three blinded raters for selected shape and surface characteristics. Regression models adjusting for age, disease duration, and individual patient effects were applied to assess lesion characteristics between patient groups. Patient-level and latent class analyses between groups were performed. RESULTS: A total of 1,001 supratentorial lesions were analyzed (710 MS; 291 NSWM) from 30 patients (19 with confirmed MS [11 female; median age = 33.6 years, range: 26.9-54.5], median disease duration = 2.2 years [.4-19.4]), 11 with verified nonspecific white matter (NSWM) disease without MS (11 female; median age = 55.0 years, range: 27.9-66.2). Lesions originating from MS in comparison to NSWM patients demonstrated a higher percentage of asymmetry (75.9% vs. 43%; OR: 4.39 [2.37-8.12]; P < .001), complex surface morphologies (65.9% vs. 27.8%; OR: 2.3 [1.74-3.05]; P < .001), and were multilobular (11.0% vs. .3%, P < .001), and elongated (12.8% vs. 2.4%, P < .001) in shape. Spatially, these traits were of higher frequency within the juxtacortical, deep white matter, and periventricular regions. CONCLUSION: Three-dimensional lesion data may provide new biologic insights related to injury along with offering another approach for determining the origin of lesion types.
BACKGROUND AND PURPOSE: There remains a need to further refine the ability of clinicians to differentiate multiple sclerosis (MS) from other disease etiologies. Here, we illustrate the value of 3-dimensional (3D) geometric shape and surface lesion characteristics between disease states. METHODS: Standardized 3-Tesla 3D brain magnetic resonance imaging studies were performed on enrolled MS and nonspecific white matter (NSWM) patients. Focal supratentorial lesions were identified, reconstructed using maximum intensity projection, manually segmented, and 3D printed. Printed 3D models were randomly evaluated by three blinded raters for selected shape and surface characteristics. Regression models adjusting for age, disease duration, and individual patient effects were applied to assess lesion characteristics between patient groups. Patient-level and latent class analyses between groups were performed. RESULTS: A total of 1,001 supratentorial lesions were analyzed (710 MS; 291 NSWM) from 30 patients (19 with confirmed MS [11 female; median age = 33.6 years, range: 26.9-54.5], median disease duration = 2.2 years [.4-19.4]), 11 with verified nonspecific white matter (NSWM) disease without MS (11 female; median age = 55.0 years, range: 27.9-66.2). Lesions originating from MS in comparison to NSWM patients demonstrated a higher percentage of asymmetry (75.9% vs. 43%; OR: 4.39 [2.37-8.12]; P < .001), complex surface morphologies (65.9% vs. 27.8%; OR: 2.3 [1.74-3.05]; P < .001), and were multilobular (11.0% vs. .3%, P < .001), and elongated (12.8% vs. 2.4%, P < .001) in shape. Spatially, these traits were of higher frequency within the juxtacortical, deep white matter, and periventricular regions. CONCLUSION: Three-dimensional lesion data may provide new biologic insights related to injury along with offering another approach for determining the origin of lesion types.
Authors: Madison R Hansen; Edward Pan; Andrew Wilson; Morgan McCreary; Yeqi Wang; Thomas Stanley; Marco C Pinho; Xiaohu Guo; Darin T Okuda Journal: J Neurooncol Date: 2018-06-07 Impact factor: 4.130
Authors: Kerstin Bendfeldt; Bernd Taschler; Laura Gaetano; Philip Madoerin; Pascal Kuster; Nicole Mueller-Lenke; Michael Amann; Hugo Vrenken; Viktor Wottschel; Frederik Barkhof; Stefan Borgwardt; Stefan Klöppel; Eva-Maria Wicklein; Ludwig Kappos; Gilles Edan; Mark S Freedman; Xavier Montalbán; Hans-Peter Hartung; Christoph Pohl; Rupert Sandbrink; Till Sprenger; Ernst-Wilhelm Radue; Jens Wuerfel; Thomas E Nichols Journal: Brain Imaging Behav Date: 2019-10 Impact factor: 3.978
Authors: Jakob Rath; Olivia Foesleitner; Lukas Haider; Hubert Bickel; Fritz Leutmezer; Stephan Polanec; Michael A Arnoldner; Gere Sunder-Plassmann; Daniela Prayer; Thomas Berger; Paulus Rommer; Gregor Kasprian Journal: Orphanet J Rare Dis Date: 2022-02-05 Impact factor: 4.123
Authors: Darin T Okuda; Tatum M Moog; Morgan McCreary; Jennifer N Bachand; Andrew Wilson; Katy Wright; Mandy D Winkler; Osniel Gonzalez Ramos; Aiden P Blinn; Yeqi Wang; Thomas Stanley; Marco C Pinho; Braeden D Newton; Xiaohu Guo Journal: Sci Rep Date: 2020-11-11 Impact factor: 4.379