AIMC Topic: Low Back Pain

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Assessment and prediction of spine surgery invasiveness with machine learning techniques.

Computers in biology and medicine May 16, 2020
BACKGROUND: The interest in Minimally Invasive Surgery (MIS) techniques has greatly increased in the recent years due to their significant advantages, both in terms of outcome improvement and cost reduction. Also in spine surgery, MIS is now applicab...
Humans Machine Learning Minimally Invasive Surgical Procedures Low Back Pain
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Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 18, 2020
OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment and thus provided an adjunctive dimension in patient assessment. The clinical interpretability and confounders of the 5R-STS remain poor...
Lumbar Vertebrae Pain Spinal Stenosis Intervertebral Disc Displacement Low Back Pain Adult Male Middle Aged Pilot Projects Spondylolisthesis Spinal Diseases Leg Chronic Pain Diagnostic Techniques and Procedures Humans Machine Learning Prospective Studies Female
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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Kidney Neoplasms Length of Stay Low Back Pain Liver Neoplasms Metastasectomy Lung Neoplasms Psoas Muscles Blood Loss, Surgical Spinal Neoplasms Operative Time Neurosurgical Procedures Cerebrospinal Fluid Leak Lumbar Vertebrae Pain Measurement Rectal Neoplasms Plastic Surgery Procedures Surgical Wound Infection Prostatic Neoplasms Adult Biomechanical Phenomena Male Spinal Nerve Roots Middle Aged Postoperative Complications Humans Retrospective Studies Female Aged
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Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.

NeuroImage. Clinical May 28, 2019
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...
Adult Male Middle Aged Prefrontal Cortex Magnetic Resonance Imaging Humans Machine Learning Female Cerebral Cortex Connectome Chronic Pain Basal Ganglia Placebos Single-Blind Method Outcome Assessment, Health Care Acupuncture Therapy Low Back Pain
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Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study.

NeuroImage. Clinical Mar 14, 2019
Chronic low back pain (cLBP) is associated with widespread functional and structural changes in the brain. This study aims to investigate the resting state functional connectivity (rsFC) changes of visual networks in cLBP patients and the feasibility...
Low Back Pain Cerebral Cortex Connectome Nerve Net Visual Perception Male Middle Aged Cohort Studies Support Vector Machine Magnetic Resonance Imaging Humans Female Young Adult Adult
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Using a deep learning network to recognise low back pain in static standing.

Ergonomics Jul 3, 2018
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognise LBP patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway p...
Electromagnetic Phenomena Middle Aged Case-Control Studies Deep Learning ROC Curve Feasibility Studies Motion Low Back Pain Standing Position Ergonomics Humans Biomechanical Phenomena Male
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Comparison of Natural Language Processing Rules-based and Machine-learning Systems to Identify Lumbar Spine Imaging Findings Related to Low Back Pain.

Academic radiology Mar 28, 2018
RATIONALE AND OBJECTIVES: To evaluate a natural language processing (NLP) system built with open-source tools for identification of lumbar spine imaging findings related to low back pain on magnetic resonance and x-ray radiology reports from four hea...
Lumbar Vertebrae Low Back Pain Cohort Studies Magnetic Resonance Imaging Natural Language Processing Radiography Humans Aged, 80 and over Machine Learning Adult Female Sensitivity and Specificity Aged Male Middle Aged
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Efficacy and safety of a fixed combination of intramuscular diclofenac 75 mg + thiocolchicoside 4 mg in the treatment of acute low back pain: a phase III, randomized, double blind, controlled trial.

European journal of physical and rehabilitation medicine Dec 21, 2017
BACKGROUND: The management of acute low back pain (LBP) is directed to obtain early and maximum relief of the local and regional pain, and to improve mobility and physical function.
Middle Aged Treatment Outcome Drug Combinations Pain Measurement Double-Blind Method Italy Low Back Pain Injections, Intramuscular Colchicine Humans Female Male Diclofenac
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Evaluation of three machine learning models for self-referral decision support on low back pain in primary care.

International journal of medical informatics Nov 23, 2017
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the righ...
Referral and Consultation Low Back Pain Adolescent Primary Health Care Decision Making Aged Chronic Disease Young Adult Adult Male Middle Aged Humans Machine Learning Female
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A novel approach to spinal 3-D kinematic assessment using inertial sensors: Towards effective quantitative evaluation of low back pain in clinical settings.

Computers in biology and medicine Aug 4, 2017
This paper presents a novel approach for evaluating LBP in various settings. The proposed system uses cost-effective inertial sensors, in conjunction with pattern recognition techniques, for identifying sensitive classifiers towards discriminate iden...
Male Middle Aged Support Vector Machine Humans Low Back Pain Adult Movement Biomechanical Phenomena
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