医学
脊柱畸形
肌萎缩
轴
衰老
畸形
物理医学与康复
外科
解剖
内科学
作者
Corey T. Walker,Robin Babadjouni,Wende N. Gibbs,Elizabeth L. Lord,Adeesya Gausper,Joseph A. Osorio,Camilo Molina,Kristen E. Jones,Miranda L. van Hooff,Alexander A. Theologis,Mitsuru Yagi,Laurel C. Blakemore,Suken A. Shah,Serena S. Hu,Marinus de Kleuver,Javier Pizones,Michael P. Kelly,Ferrán Pellisé,Christopher P. Ames,Robert K. Eastlack
出处
期刊:Spine
[Lippincott Williams & Wilkins]
日期:2025-06-13
卷期号:50 (18): 1278-1289
被引量:2
标识
DOI:10.1097/brs.0000000000005426
摘要
Understanding the relationship between osteoporosis, sarcopenia, and frailty is essential to improving outcomes in spine surgery. Advanced imaging and machine learning approaches offer the potential for more precise assessments and tailored interventions. The Scoliosis Research Society Adult Spinal Deformity Task Force on Senescence has identified this as an area of maximal importance for strategic growth and development of the field.
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