Ryotaro Ikeguchi1, Yuko Shimizu2, Kayoko Abe3, Satoru Shimizu4, Takashi Maruyama5, Masayuki Nitta5, Koichiro Abe3, Takakazu Kawamata5, Kazuo Kitagawa1. 1. Department of Neurology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan. 2. Department of Neurology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan. Electronic address: yshimizu@nij.twmu.ac.jp. 3. Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan. 4. Medical research institute, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan. 5. Department of Neurosurgery, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan.
Abstract
BACKGROUND: It is often difficult to accurately differentiate tumefactive demyelinating lesions (TDLs) from gliomas using MRI. OBJECTIVE: To investigate the utility of proton magnetic resonance spectroscopy (MRS) in differentiating TDLs from gliomas. METHODS: Cohort 1 included 6 patients with TDLs and 5 with gliomas (3 high-grade), as assessed using a 1.5T MR unit. Cohort 2 included 6 patients with TDLs and 17 patients with gliomas (8 high-grade), as assessed using a 3.0T MR unit. Single-voxel proton MRS was performed to compare the following metabolite area ratios: choline (Cho)/creatine (Cr), N-acetylaspartate (NAA)/Cr, and Cho/NAA in both cohorts. Correlations between the target-to-normal-tissue ratio (TNR) obtained using methionine-positron emission tomography (MET-PET) and each MRS metabolite ratio were examined in a subset of cohort 2 (4 patients with TDLs and 11 with gliomas). RESULTS: Mean Cho/NAA ratio was significantly higher in gliomas than in TDLs or MS in cohort 1 (p < 0.05). Mean Cho/NAA ratio was significantly higher in high-grade gliomas than in TDLs in both cohorts (ps < 0.05). In the receiver operating characteristic analysis, high-grade glioma rather than TDL was indicated when the Cho/NAA ratio was >1.72 (the area under the curve was 0.958, and the maximum sensitivity and specificity were 100% and 87%, respectively). A significant positive correlation was observed between Cho/NAA ratio and the MET-PET TNR (r2 = 0.35, p < 0.05). CONCLUSION: MRS effectively differentiates TDLs from high-grade gliomas. Therefore, the clinical use of MRS is likely to enhance patient outcomes.
BACKGROUND: It is often difficult to accurately differentiate tumefactive demyelinating lesions (TDLs) from gliomas using MRI. OBJECTIVE: To investigate the utility of proton magnetic resonance spectroscopy (MRS) in differentiating TDLs from gliomas. METHODS: Cohort 1 included 6 patients with TDLs and 5 with gliomas (3 high-grade), as assessed using a 1.5T MR unit. Cohort 2 included 6 patients with TDLs and 17 patients with gliomas (8 high-grade), as assessed using a 3.0T MR unit. Single-voxel proton MRS was performed to compare the following metabolite area ratios: choline (Cho)/creatine (Cr), N-acetylaspartate (NAA)/Cr, and Cho/NAA in both cohorts. Correlations between the target-to-normal-tissue ratio (TNR) obtained using methionine-positron emission tomography (MET-PET) and each MRS metabolite ratio were examined in a subset of cohort 2 (4 patients with TDLs and 11 with gliomas). RESULTS: Mean Cho/NAA ratio was significantly higher in gliomas than in TDLs or MS in cohort 1 (p < 0.05). Mean Cho/NAA ratio was significantly higher in high-grade gliomas than in TDLs in both cohorts (ps < 0.05). In the receiver operating characteristic analysis, high-grade glioma rather than TDL was indicated when the Cho/NAA ratio was >1.72 (the area under the curve was 0.958, and the maximum sensitivity and specificity were 100% and 87%, respectively). A significant positive correlation was observed between Cho/NAA ratio and the MET-PET TNR (r2 = 0.35, p < 0.05). CONCLUSION: MRS effectively differentiates TDLs from high-grade gliomas. Therefore, the clinical use of MRS is likely to enhance patient outcomes.
Authors: Matteo Paoletti; Shaun Ivan Muzic; Francesca Marchetti; Lisa Maria Farina; Stefano Bastianello; Anna Pichiecchio Journal: Radiol Med Date: 2021-01-24 Impact factor: 3.469