足底筋膜炎および生体シグネチャー収量(Quantify)の高度新規撮像技術の定量的理解:横断的診断研究プロトコル
Zahra Amerian1, Timothy Fleagle1, Utsav Tuladhar2
1Department of Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, IA, United States.
JMIR research protocols
|February 11, 2026
まとめ
本研究は、筋膜性疼痛の高度な撮像バイオマーカーを開発し、足底筋膜炎の診断を改善することを目的としています。撮像と心理学的要因を組み合わせることで、患者の転帰を改善するための診断精度が向上する可能性があります。
科学分野:
- 筋骨格系疼痛研究
- 診断用画像
- バイオマーカー開発
背景:
- 筋膜性疼痛は、足底筋膜炎のような筋骨格系の状態の診断不足の原因です。
- 現在の診断は手による触診に依存しており、定量的な精度が欠けています。
- 正確な筋膜性疼痛評価には、検証されたバイオマーカーが必要です。
研究 の 目的:
- 超音波とMRIを使用した筋膜性疼痛の診断的撮像生体シグネチャを開発する。
- 足底筋膜炎を他の足部痛および対照群から区別する。
- 心理学的要因を含む複合生体シグネチャが診断精度を向上させるかどうかを調査する。
主な方法:
- 100人の参加者(足底筋膜炎50人、アキレス腱付着部炎25人、対照群25人)による横断研究。
- 筋膜組織の異常を特定するためのふくらはぎおよび足の筋肉の臨床検査。
- 主な撮像アウトカム:生化学的(T1ρ)、生体力学的(せん断波速度、せん断ひずみ)、および構造的(脂肪分画、厚さ)特性。
- 患者報告アウトカムには、NIH HEALイニシアチブ共通データ要素および心理学的測定が含まれます。
主要な成果:
- 参加者の登録は2025年5月に開始され、2025年11月までに55人が登録されました。
- 登録完了は2026年7月、研究完了は2026年8月までに見込まれています。
- データの共有は、研究完了または出版後1年以内に行われる予定です。
結論:
- 高度な撮像による筋膜性疼痛の新規メカニズムの洞察。
- 足底筋膜炎の診断と治療の改善のための生物心理社会モデルを提案する。
- 撮像と心理社会的測定を組み合わせることによる診断精度の向上を期待する。
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