アブストラクト
| Title | 4 画像診断と帰結予測 |
|---|---|
| Subtitle | 特集 脳卒中リハビリテーション医療アップデート |
| Authors | 小山哲男*1,2, 道免和久*2 |
| Authors (kana) | |
| Organization | *1西宮協立脳神経外科病院リハビリテーション科, *2兵庫医科大学医学部リハビリテーション医学講座 |
| Journal | The Japanese Journal of Rehabilitation Medicine |
| Volume | 61 |
| Number | 2 |
| Page | 96-104 |
| Year/Month | 2024 / 2 |
| Article | 報告 |
| Publisher | 日本リハビリテーション医学会 |
| Abstract | 「要旨」本稿は, 脳卒中患者の帰結予測に役立つ画像手法のうち, 臨床現場で実践しやすい手法の2つを概説する. これまで, 急性期脳画像よる病巣体積推定は, 機能的レベルでの帰結予測にあまり寄与しないとされてきた. しかし近年, 病巣が皮質脊髄路に被る体積は, 運動機能の帰結と関連することが明らかとなってきた. また, 拡散テンソル画像は近年注目されている手法である. 発症2週頃に撮像される拡散テンソル画像は, 脳内のさまざまな神経線維束の損傷程度を定量化する. 脳卒中リハビリテーションにおいて, それぞれの患者の障害像に見合った計画立案が大切である. 画像診断を用いた帰結予測はこれに大きく貢献する. |
| Practice | 医療技術 |
| Keywords | 帰結, 定量化, 脳血管, 標準脳, モデル |
- 全文ダウンロード： 従量制、基本料金制の方共に770円(税込) です。
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