Imaging in Spine Surgery: Current Concepts and Future Directions

被引:31
|
作者
Harada, Garrett K. [1 ,2 ]
Siyaji, Zakariah [1 ,2 ]
Younis, Sadaf [1 ,2 ]
Louie, Philip [1 ,2 ]
Samartzis, Dino [1 ,2 ]
An, Howard S. [1 ,2 ]
机构
[1] Rush Univ, Med Ctr, Dept Orthopaed Surg, Div Spine Surg, Chicago, IL 60612 USA
[2] Rush Univ, Med Ctr, Int Spine Res & Innovat Initiat, Chicago, IL 60612 USA
来源
SPINE SURGERY AND RELATED RESEARCH | 2020年 / 4卷 / 02期
关键词
imaging; magnetic resonance; computed tomography; radiograph; spine surgery; guided navigation; machine learning; artificial intelligence; HIGH-INTENSITY ZONE; ADJACENT SEGMENT DEGENERATION; PEDICLE SCREW PLACEMENT; LUMBAR INTERBODY FUSION; DISC DEGENERATION; IN-VIVO; INTERVERTEBRAL DISC; CT-MYELOGRAPHY; SCHMORLS NODES; MODIC CHANGES;
D O I
10.22603/ssrr.2020-0011
中图分类号
R61 [外科手术学];
学科分类号
摘要
Objective: To review and highlight the historical and recent advances of imaging in spine surgery and to discuss current applications and future directions. Methods: A PubMed review of the current literature was performed on all relevant articles that examined historical and recent imaging techniques used in spine surgery. Studies were examined for their thoroughness in description of various modalities and applications in current and future management. Results: We reviewed 97 articles that discussed past, present, and future applications for imaging in spine surgery. Although most historical approaches relied heavily upon basic radiography, more recent advances have begun to expand upon advanced modalities, including the integration of more sophisticated equipment and artificial intelligence. Conclusions: Since the days of conventional radiography, various modalities have emerged and become integral components of the spinal surgeon's diagnostic armamentarium. As such, it behooves the practitioner to remain informed on the current trends and potential developments in spinal imaging, as rapid adoption and interpretation of new techniques may make significant differences in patient management and outcomes. Future directions will likely become increasingly sophisticated as the implementation of machine learning, and artificial intelligence has become more commonplace in clinical practice.
引用
收藏
页码:99 / 110
页数:12
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