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Abstract #3585

Enhanced Evaluation of Juxtacortical Lesions in Multiple Sclerosis Using High-Resolution Double Inversion Recovery Imaging with Deep Learning

Tomohiro Shintaku1, Satoru Ide2, Haruka Nagaya1, Yuka Ishimoto1, Keita Watanabe3, Kazuhiko Oyu1, Sera Kasai1, Yoshihito Umemura1, Miho Sasaki1, Kana Saitou1, Amo Ozawa1, Atsushi Nozaki4, Xucheng Zhu5, Tetsuya Wakayama4, Haruo Nishijima1, Chieko Suzuki1, Masahiko Tomiyama1, and Shingo Kakeda1
1Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan, 2University of Occupational and Environmental Health, School of Medicine,, Kitakyushu, Japan, 3Kyoto Prefectural University of Medicine, Kyoto, Japan, 4GE HealthCare, Hino, Japan, 5GE HealthCare, Menlo Park, CA, United States

Synopsis

Keywords: Multiple Sclerosis, Multiple Sclerosis

Motivation: Accurate detection of juxtacortical lesions in MS within a clinically feasible timeframe remains challenging due to the long scan times required by 3D double inversion recovery (DIR) imaging.

Goal(s): This study aimed to evaluate the efficacy of high-resolution DIR imaging enabled by the new deep learning-based technique, DL-Speed (DLS-DIR).

Approach: The study conducted a retrospective analysis of MRI data from 25 MS patients using C-DIR and DLS-DIR. Two neuroradiologists independently assessed juxtacortical lesions, comparing lesion counts across methods and calculating interobserver agreement.

Results: DLS-DIR significantly outperformed C-DIR, especially in detecting cortical MS lesions, within a clinically acceptable acquisition time.

Impact: 3D DL-Speed double inversion recovery imaging is acquired in 4:23 with 0.7mm isotropic resolution covering the whole brain, which could improve the accuracy of cortical lesion assessment in patients with multiple sclerosis.

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