美国放射学学院骨报告和数据系统TM (ACR Bone-RADSTM) 的验证,用于分类骨解性骨瘤

Youngjune Kim1,2, Choong Guen Chee1,2, Yusuhn Kang3

  • 1Department of Radiology, Seoul National University Bundang Hospital, 82 Gumi-Ro-173-Beon-Gil, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13620, Republic of Korea.

Skeletal radiology
|February 2, 2025
PubMed
概括

美国放射学学院 (ACR) 的Bone-RADSTM有效地识别出恶性骨解性骨瘤,灵敏度为95%. 对于 Bone-RADSTM 类别的观察者间的共识是温和的,这表明其在临床实践中的有用性.

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