Emerging Technologies in the Treatment of Adult Spinal Deformity

Akshar V. Patel; Christopher A. White; John T. Schwartz; Nicholas L. Pitaro; Kush C. Shah; Sirjanhar Singh; Varun Arvind; Jun S. Kim; Samuel K. Cho

doi:10.14245/ns.2142412.206

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자료유형: 학술저널

저자정보: Akshar V. Patel (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Christopher A. White (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) John T. Schwartz (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Nicholas L. Pitaro (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Kush C. Shah (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Sirjanhar Singh (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Varun Arvind (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Jun S. Kim (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai) Samuel K. Cho (Department of Orthopaedic Surgery Icahn School of Medicine at Mount Sinai)

저널정보: 대한척추신경외과학회 Neurospine Neurospine 제18권 제3호

발행연도: 2021.9

수록면: 417 - 427 (11page)

DOI: 10.14245/ns.2142412.206

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Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient-specific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity.

#Machine learning #Rods #Robot #Spine surgery #Artificial intelligence

참고문헌 (86)

참고문헌 신청

Ames CP / 2016 / Adult spinal deformity:epidemiology, health impact, evaluation, and management / Spine Deform 4:310~322

Safaee MM / 2020 / Epidemiology and socioeconomic trends in adult spinal deformity care / Neurosurgery 87:25~32

Diebo BG / 2019 / Adult spinal deformity / Lancet 394:160~172

Smith JS / 2019 / Treatment of adult thoracolumbar spinal deformity: past, present, and future / J Neurosurg Spine 30:551~567

Alvarado AM / 2021 / Cost-effectiveness of adult spinal deformity surgery / Global Spine J 11:73S~78S

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