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http://dx.doi.org/10.31486/toj.21.0152 | DOI Listing |
Eur Spine J
January 2025
Departamento de Neurociencias, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio, Facultad de Medicina, Bogotá, Colombia.
Background: The surprising increase observed in recent years in the use of minimally invasive sacroiliac joint arthrodesis techniques as a treatment for low back pain justifies an objective review of this results.
Purpose: carry out a systematic review of the literature to evaluate the clinical results of patients with low back pain treated with percutaneous arthrodesis of the SIJ.
Study Design: Systematic review.
BMJ Case Rep
January 2025
Department of Orthopedics, SDM College of Medical Sciences and Hospital, Shri Dharmasthala Manjunatheshwara University, Dharwad, Karnataka, India.
Low back pain is common in women, especially during pregnancy and puerperium. Septic sacroiliitis, a rare cause of back pain in the postpartum period can mimic other common causes of low back pain like muscle strain, urinary tract infection, pelvic inflammatory disease, endometritis and intervertebral disc prolapse. The proximity of the sacroiliac joint to the sacral nerve plexus results in septic sacroiliitis frequently presenting with symptoms mimicking intervertebral disc prolapse.
View Article and Find Full Text PDFObjective: Aim: Study the mechanism of interaction between the 'sacroiliac joint - screw' system and determine the optimal parameters of the stabilizing structure, the strength of the system connection through computer modeling, and anatomical-biomechanical experiment.
Patients And Methods: Materials and Methods: The optimal parameters of the stabilizing structure for the sacroiliac joint were calculated using software package MathCAD. To validate the results of the numerical modeling, corresponding investigations of mechanical characteristics and determination of stiffness of the studied systems were conducted by an upgraded testing stand, TIRAtest-2151.
Ann Rheum Dis
January 2025
Rheumatology Department, Cochin Hospital, Paris, France; INSERM (U1153): Clinical Epidemiology and Biostatistics, University of Paris, Paris, France.
Objectives: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).
Methods: Baseline SIJ MRI scans were collected from two prospective randomised controlled trials in patients with non-radiographic (nr-) and radiographic (r-) axSpA (RAPID-axSpA: NCT01087762 and C-OPTIMISE: NCT02505542) and were centrally evaluated by two expert readers (and adjudicator in case of disagreement) for the presence of inflammation by the 2009 Assessment of SpondyloArthritis International Society (ASAS) definition. Scans were processed by the deep-learning algorithm, blinded to clinical information and central expert readings.
J Orthop
August 2025
University of Turin, Centro Traumatologico Ortopedico (CTO), Department of Orthopaedic Surgery, Turin, Italy.
Introduction: Sacroiliac joint (SIJ) dislocations, particularly pure SIJ dislocations without associated fractures, represent a rare and complex subset of pelvic ring injuries. Given the intricate pelvic anatomy and the need to achieve both stability and functional recovery, the optimal surgical management for these injuries remains a topic of debate. This systematic review aims to evaluate the various surgical techniques employed in treating this rare and challenging injury and assess associated clinical outcomes and complications.
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