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Differences in radiographic and clinical outcomes of different oblique lumbar interbody fusions for lumbar degenerative diseases: a systematic review and Bayesian network meta-analysis.
Neurosurg Rev
January 2025
Nanjing TCM Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, 157 Daming Road, Nanjing, Qinhuai District, 210022, China.
To systematically evaluate the differences in the clinical efficacy of lumbar degenerative disorders (LDDs) treatment between oblique lumbar interbody fusion with percutaneous pedicle screw fixation (OLIF-PF), OLIF stand-alone (OLIF-SA), and OLIF with anterolateral screw fixation (OLIF-AF). A systematic search was conducted on both English and Chinese databases, wherein the literature was screened based on title, abstract, and full text. Literature that met the inclusion criteria was assessed for quality and relevant information was extracted.
View Article and Find Full Text PDFBackground: To compare the effect of minimally invasive and open transforaminal lumbar interbody fusion (TLIF) approaches in fusing the L4-L5 segment and predicting the potential risk of adjacent segment degeneration (ASD).
Methods: A computed tomography scan image was processed and the three-dimensional model of the L1-L5 spine was reconstructed. The minimally invasive and Open TLIF finite element models were constructed.
Clinical and radiological outcomes of lumbar endoscopic decompression for treating lumbar spinal stenosis and degenerative lumbar scoliosis: a retrospective study at mean 4.4 years follow-up.
Front Surg
January 2025
Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Purpose: To assess the clinical and radiological outcomes of lumbar endoscopic decompression for the treatment of lumbar spinal stenosis (LSS) with concurrent degenerative lumbar scoliosis (DLS).
Methods: This study retrospectively reviewed 97 patients with LSS and DLS who underwent lumbar endoscopic decompression between 2016 and 2021. The average follow-up duration was 52.
Answer to the Letter to the Editor of X. Luo, et al. concerning "A new hernia blocking system to prevent recurrent lumbar disc herniation: surgical technique, intraoperative findings and six-months post-operative outcomes" by O. Godino et al. (Eur Spine J [2024]: doi.org/10.1007/s00586-024- 08595-x).
Eur Spine J
January 2025
Neurosurgery Department, Hospital Universitari Bellvitge, Barcelona, Spain.
Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision Making Using MRI Images: A Retrospective Study.
World Neurosurg
January 2025
Department of Spine Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University.
Background: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on clinical history, physical exam, and imaging, with magnetic resonance imaging (MRI) being an important reference standard. While artificial intelligence (AI) has been explored for MRI image recognition in LDH, existing methods often focus solely on disc herniation presence.
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