Results 11 to 20 of about 15,328 (217)

Robotics in Spine Surgery and Spine Surgery Training

open access: yesOperative Neurosurgery, 2021
Abstract The increasing interest and advancements in robotic spine surgery parallels a growing emphasis on maximizing patient safety and outcomes. In addition, an increasing interest in minimally invasive spine surgery has further fueled robotic development, as robotic guidance systems are aptly suited for these procedures.
Jason I Liounakos   +3 more
openaire   +2 more sources

WKYMVm/FPR2 Alleviates Spinal Cord Injury by Attenuating the Inflammatory Response of Microglia

open access: yesMediators of Inflammation, 2022
Spinal cord injury (SCI) is a common traumatic disease of the nervous system. The pathophysiological process of SCI includes primary injury and secondary injuries.
Wenwu Zhang   +8 more
doaj   +1 more source

Prodrome to Seizure in Transforaminal Endoscopic Surgery: A Series of 9 Cases [PDF]

open access: yesJournal of Minimally Invasive Spine Surgery and Technique, 2023
Objective Percutaneous transforaminal endoscopic lumbar discectomy (PTELD) is safe and effective. Perioperative or postoperative seizures are a rare complication that can be prevented by promptly identifying prodromal symptoms and signs. This study aimed
Ajay Krishnan   +10 more
doaj   +1 more source

Dissatisfaction Risk Factors of Patients after Laminectomy for Thoracic Ossification of Ligamentum Flavum: A Retrospective Cohort Study of Different Follow-Up Periods

open access: yesPain Research and Management, 2021
Objectives. To explore the influencing factors of satisfaction with postoperative treatment in patients diagnosed with thoracic ossification of the ligamentum flavum during different follow-up periods. Methods.
Zhiwei Wang   +5 more
doaj   +1 more source

Anticoagulation and Spine Surgery [PDF]

open access: yesGlobal Spine Journal, 2020
Study Design: Literature review. Objective: Preoperative management of therapeutic anticoagulation in spine surgery is critical to minimize risk of thromboembolic events yet prevent postsurgical complications.
Porto, Guilherme B. F.   +4 more
openaire   +2 more sources

Proximal Junction Kyphosis in Adult Scoliosis: Best Postoperative Radiological Predictors—A Retrospective Cohort Study

open access: yesAdvances in Orthopedics, 2022
Background. Proximal junction kyphosis (PJK) is the postsurgical radiographic event seen in the surgical plane after the fusion of a spinal deformity. Unfavorable health outcomes have been reported in symptomatic PJK patients compared to non-PJK patients.
Daudi R. Manini   +5 more
doaj   +1 more source

Step-by-Step Sublaminar Approach With a Newly-Designed Spinal Endoscope for Unilateral-Approach Bilateral Decompression in Spinal Stenosis [PDF]

open access: yesNeurospine, 2019
Objective Spinal stenosis is increasingly common due to population aging. In elderly patients with lumbar central canal stenosis (LCCS), minimizing muscle damage and bone resection is particularly important.
Fujio Ito   +8 more
doaj   +1 more source

Quality in Spine Surgery [PDF]

open access: yesNeurosurgery, 2018
Abstract Health care is expensive in the United States. There is an increasing focus on value rather than volume. Accurately measuring quality is a critically important step in determining value of care delivered. This article discusses the trials and techniques of measuring quality in spine surgery.
Christopher, Graves   +3 more
openaire   +2 more sources

Endoscopic Spine Surgery [PDF]

open access: yesJournal of Korean Neurosurgical Society, 2017
Surgical treatment of the degenerative disc disease has evolved from traditional open spine surgery to minimally invasive spine surgery including endoscopic spine surgery. Constant improvement in the imaging modality especially with introduction of the magnetic resonance imaging, it is possible to identify culprit degenerated disc segment and again ...
Choi, Gun   +3 more
openaire   +2 more sources

Radiomics in Spine Surgery

open access: yesInternational Journal of Spine Surgery, 2023
Radiomics is an emerging approach to analyze clinical images with the purpose of revealing quantitative features that are unvisible to the naked eye. Radiomic features can be further combined with clinical data and genomic information to formulate prediction models using machine learning algorithms or manual statistical analysis.
Daniel, Alsoof   +5 more
openaire   +2 more sources

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