Flavia Nelson1, Aziz Poonawalla2, Sushmita Datta2, Jerry Wolinsky3, Ponnada Narayana2. 1. Multiple Sclerosis Research Group, Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX, USA. Electronic address: flavia.m.nelson@uth.tmc.edu. 2. Department of Radiology and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, USA. 3. Multiple Sclerosis Research Group, Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX, USA.
Abstract
BACKGROUND AND OBJECTIVES: Based on the application of newer magnetic resonance imaging (MRI) acquisition sequences, the detection of cortical lesions (CL) in multiple sclerosis (MS) has significantly improved. Double inversion recovery (DIR) at 3T has increased the detection sensitivity and classification specificity when combined with phase sensitive inversion recovery (PSIR). Previous findings with 3D magnetization prepared rapid acquisition with gradient echo (MPRAGE) sequences, showed improved classification specificity of purely intracortical (IC) and mixed (MX) lesions, compared to the classification based on DIR/PSIR. Direct comparison between the detection of CL by 3D MPRAGE and by DIR/PSIR at 3T has not been evaluated. METHODS: Eleven subjects were imaged on a 3T magnet. DIR/PSIR and 3D MPRAGE images were reviewed independently. Each image set was reviewed twice; only lesions detected on both sessions were scored. Review time per scan was ~5min for DIR/PSIR and ~15min for 3D MPRAGE. RESULTS: We identified 141 CL (62 IC+79 MX) based on DIR/PSIR images vs. 93 (38 IC+55 MX) based on MPRAGE from all eleven patients. MPRAGE under-detected the number of CL in seven cases and over-detected the number of CL in three, only one case had the same number of CL on both sets of images. CONCLUSIONS: Combination DIR/PSIR at 3T is superior to 3D MPRAGE for detection of cortical gray matter lesions in MS. The contrast-to-noise ratio of CL appears to be inferior on the MPRAGE images relative to DIR/PSIR.
BACKGROUND AND OBJECTIVES: Based on the application of newer magnetic resonance imaging (MRI) acquisition sequences, the detection of cortical lesions (CL) in multiple sclerosis (MS) has significantly improved. Double inversion recovery (DIR) at 3T has increased the detection sensitivity and classification specificity when combined with phase sensitive inversion recovery (PSIR). Previous findings with 3D magnetization prepared rapid acquisition with gradient echo (MPRAGE) sequences, showed improved classification specificity of purely intracortical (IC) and mixed (MX) lesions, compared to the classification based on DIR/PSIR. Direct comparison between the detection of CL by 3D MPRAGE and by DIR/PSIR at 3T has not been evaluated. METHODS: Eleven subjects were imaged on a 3T magnet. DIR/PSIR and 3D MPRAGE images were reviewed independently. Each image set was reviewed twice; only lesions detected on both sessions were scored. Review time per scan was ~5min for DIR/PSIR and ~15min for 3D MPRAGE. RESULTS: We identified 141 CL (62 IC+79 MX) based on DIR/PSIR images vs. 93 (38 IC+55 MX) based on MPRAGE from all eleven patients. MPRAGE under-detected the number of CL in seven cases and over-detected the number of CL in three, only one case had the same number of CL on both sets of images. CONCLUSIONS: Combination DIR/PSIR at 3T is superior to 3D MPRAGE for detection of cortical gray matter lesions in MS. The contrast-to-noise ratio of CL appears to be inferior on the MPRAGE images relative to DIR/PSIR.
Authors: M Bester; J H Jensen; J S Babb; A Tabesh; L Miles; J Herbert; R I Grossman; M Inglese Journal: Mult Scler Date: 2014-11-12 Impact factor: 6.312
Authors: Flavia Nelson; Sushmita Datta; Nereyda Garcia; Nigel L Rozario; Francisco Perez; Gary Cutter; Ponnada A Narayana; Jerry S Wolinsky Journal: Mult Scler Date: 2011-05-04 Impact factor: 6.312
Authors: Shahamat Tauhid; Renxin Chu; Rahul Sasane; Bonnie I Glanz; Mohit Neema; Jennifer R Miller; Gloria Kim; James E Signorovitch; Brian C Healy; Tanuja Chitnis; Howard L Weiner; Rohit Bakshi Journal: J Neurol Date: 2015-07-24 Impact factor: 4.849
Authors: Houshang Amiri; Alexandra de Sitter; Kerstin Bendfeldt; Marco Battaglini; Claudia A M Gandini Wheeler-Kingshott; Massimiliano Calabrese; Jeroen J G Geurts; Maria A Rocca; Jaume Sastre-Garriga; Christian Enzinger; Nicola de Stefano; Massimo Filippi; Álex Rovira; Frederik Barkhof; Hugo Vrenken Journal: Neuroimage Clin Date: 2018-04-26 Impact factor: 4.881
Authors: Piet M Bouman; Martijn D Steenwijk; Petra J W Pouwels; Menno M Schoonheim; Frederik Barkhof; Laura E Jonkman; Jeroen J G Geurts Journal: Brain Date: 2020-10-01 Impact factor: 13.501