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スダ サトシ
SUDA Satoshi
須田 智 所属 埼玉医科大学 医学部 国際医療センター 神経内科・脳卒中内科 職種 教授 |
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| 論文種別 | 学術雑誌(原著) |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | MRI scout images can detect the acute intracerebral hemorrhage on CT |
| 掲載誌名 | 正式名：Journal of the Neurological Sciences ISSNコード：1878-5883 |
| 出版社 | Elsevier B.V. |
| 巻・号・頁 | 387,147-149頁 |
| 著者・共著者 | Toshiyuki Hayashi,Junya Aoki,Kentaro Suzuki,Yuki Sakamoto,Satoshi Suda,Seiji Okubo,Masahiro Mishina,Kazumi Kimura |
| 発行年月 | 2018/04/15 |
| 概要 | Introduction: Magnetic resonance imaging (MRI) has recently emerged as a first-line tool for investigating acute stroke. However, MRI requires long scan times, which could be detrimental for severe stroke patients with a large intracerebral hemorrhage (ICH). MRI scout images, which are taken prior to a study to determine the range of subsequent images, can be used to rapidly screen the whole brain. We examined whether MRI scout imaging can detect ICHs observed by computed tomography (CT). Methods: Between September 2014 and March 2016, consecutive acute ICH patients who underwent both MRI scout and CT imaging in the acute setting were studied. ICHs on MRI scout images were defined as space-occupying lesions. Two neurologists independently assessed the scout images. We investigated whether ICHs on CT scans can be detected on MRI scout images and the characteristics of ICHs not detected by MRI scout images. Results: One hundred and forty-eight ICH patients (median age, 68 [interquartile range, 59–77] years 99 [67%] males median National Institutes of Health Stroke Scale score, 11 [4–17]) were enrolled. Among these, 138 (93%) patients were diagnosed as having ICH by MRI scout imaging (positive group), and 10 (7%) patients were not (negative group). The bleeding volume was 9.3 [4.5–22.4] ml in the positive group and 1.0 [0.4–2.0] ml in the negative group (p < .001). The cut-off value of bleeding volume calculated from the receiver operating characteristic curve was 2.0 ml. Regarding ICH lesions, 4 (44%) of the 9 pontine hemorrhages were detected on MRI scout images, whereas 134 (96%) of the 139 other hemorrhages were diagnosed (p < .001). Conclusions: We diagnosed > 90% of ICHs using MRI scout images. Low levels of ICH and pontine hemorrhaging might be difficult to detect using MRI scout imaging. |
| DOI | 10.1016/j.jns.2018.01.041 |
| PMID | 29571852 |