Vincent Planche1, Jason H Su2, Sandy Mournet3, Manojkumar Saranathan4, Vincent Dousset5, May Han6, Brian K Rutt7, Thomas Tourdias5. 1. Institut des Maladies Neurodégénératives, CNRS UMR 5293, Bordeaux, France; University of Bordeaux, Bordeaux, France; CHU de Bordeaux, Bordeaux, France. 2. Department of Electrical Engineering, Stanford University, Stanford, CA, USA. 3. CHU de Bordeaux, Bordeaux, France. 4. Department of Medical Imaging, The University of Arizona, Tucson, AZ, USA. 5. University of Bordeaux, Bordeaux, France; CHU de Bordeaux, Bordeaux, France; INSERM U1215, Neurocentre Magendie, Bordeaux, France. 6. Department of Neurology, School of Medicine, Stanford University, Palo Alto, CA, USA. 7. Department of Radiology, Stanford University, Stanford, CA, USA.
Abstract
BACKGROUND: Investigating the degeneration of specific thalamic nuclei in multiple sclerosis (MS) remains challenging. METHODS: White-matter-nulled (WMn) MPRAGE, MP-FLAIR, and standard T1-weighted magnetic resonance imaging (MRI) were performed on MS patients (n = 15) and matched controls (n = 12). Thalamic lesions were counted in individual sequences and lesion contrast-to-noise ratio (CNR) was measured. Volumes of 12 thalamic nuclei were measured using an automatic segmentation pipeline specifically developed for WMn-MPRAGE. RESULTS: WMn-MPRAGE showed more thalamic MS lesions (n = 35 in 9 out of 15 patients) than MP-FLAIR (n = 25) and standard T1 (n = 23), which was associated with significant improvement of CNR (p < 0.0001). MS patients had whole thalamus atrophy (p = 0.003) with lower volumes found for the anteroventral (p < 0.001), the pulvinar (p < 0.0001), and the habenular (p = 0.004) nuclei. CONCLUSION: WMn-MPRAGE and automatic thalamic segmentation can highlight thalamic MS lesions and measure patterns of focal thalamic atrophy.
BACKGROUND: Investigating the degeneration of specific thalamic nuclei in multiple sclerosis (MS) remains challenging. METHODS: White-matter-nulled (WMn) MPRAGE, MP-FLAIR, and standard T1-weighted magnetic resonance imaging (MRI) were performed on MS patients (n = 15) and matched controls (n = 12). Thalamic lesions were counted in individual sequences and lesion contrast-to-noise ratio (CNR) was measured. Volumes of 12 thalamic nuclei were measured using an automatic segmentation pipeline specifically developed for WMn-MPRAGE. RESULTS: WMn-MPRAGE showed more thalamic MS lesions (n = 35 in 9 out of 15 patients) than MP-FLAIR (n = 25) and standard T1 (n = 23), which was associated with significant improvement of CNR (p < 0.0001). MS patients had whole thalamus atrophy (p = 0.003) with lower volumes found for the anteroventral (p < 0.001), the pulvinar (p < 0.0001), and the habenular (p = 0.004) nuclei. CONCLUSION: WMn-MPRAGE and automatic thalamic segmentation can highlight thalamic MS lesions and measure patterns of focal thalamic atrophy.
Entities:
Keywords:
Thalamic nuclei; multi-atlas segmentation; multiple sclerosis; ultra-high field magnetic resonance imaging; white-matter-nulled MPRAGE
Authors: Alvino Bisecco; Maria A Rocca; Elisabetta Pagani; Laura Mancini; Christian Enzinger; Antonio Gallo; Hugo Vrenken; Maria Laura Stromillo; Massimiliano Copetti; David L Thomas; Franz Fazekas; Gioacchino Tedeschi; Frederik Barkhof; Nicola De Stefano; Massimo Filippi Journal: Hum Brain Mapp Date: 2015-04-14 Impact factor: 5.038
Authors: Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; Nancy Madigan; Jacob A Sloane; Constantina A Treaba; Elena Herranz; Revere P Kinkel; Caterina Mainero Journal: Mult Scler Date: 2017-08-14 Impact factor: 6.312
Authors: Manojkumar Saranathan; Thomas Tourdias; Adam B Kerr; Jeff D Bernstein; Geoffrey A Kerchner; May H Han; Brian K Rutt Journal: Invest Radiol Date: 2014-05 Impact factor: 6.016
Authors: Daniel M Harrison; Jiwon Oh; Snehashis Roy; Emily T Wood; Anna Whetstone; Michaela A Seigo; Craig K Jones; Dzung Pham; Peter van Zijl; Daniel S Reich; Peter A Calabresi Journal: Mult Scler Date: 2015-01-12 Impact factor: 6.312
Authors: Vincent Planche; Ismail Koubiyr; José E Romero; José V Manjon; Pierrick Coupé; Mathilde Deloire; Vincent Dousset; Bruno Brochet; Aurélie Ruet; Thomas Tourdias Journal: Hum Brain Mapp Date: 2018-01-13 Impact factor: 5.038
Authors: Niels Bergsland; Robert Zivadinov; Michael G Dwyer; Bianca Weinstock-Guttman; Ralph Hb Benedict Journal: Mult Scler Date: 2015-11-05 Impact factor: 6.312
Authors: Mohammad S Majdi; Mahesh B Keerthivasan; Brian K Rutt; Natalie M Zahr; Jeffrey J Rodriguez; Manojkumar Saranathan Journal: Magn Reson Imaging Date: 2020-08-21 Impact factor: 2.546
Authors: Jason H Su; Eun Young Choi; Thomas Tourdias; Manojkumar Saranathan; Casey H Halpern; Jaimie M Henderson; Kim Butts Pauly; Pejman Ghanouni; Brian K Rutt Journal: Hum Brain Mapp Date: 2020-08-06 Impact factor: 5.038