AIMC Topic: Spinal Canal

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Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.

BMC musculoskeletal disorders Apr 23, 2025
BACKGROUND: Developing computer-assisted methods to measure the Torg-Pavlov ratio (TPR), defined as the ratio of the sagittal diameter of the cervical spinal canal to the sagittal diameter of the corresponding vertebral body on lateral radiographs, c...
Young Adult Adult Male Humans Neural Networks, Computer Female Cervical Vertebrae Spinal Stenosis Spinal Canal Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI.

Skeletal radiology Nov 23, 2023
PURPOSE: The aim of study was to employ the Cycle Generative Adversarial Network (CycleGAN) deep learning model to diminish the cerebrospinal fluid (CSF) flow artifacts in cervical spine MRI. We also evaluate the agreement in quantifying spinal canal...
Humans Artifacts Spinal Canal Deep Learning Magnetic Resonance Imaging Constriction, Pathologic
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Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles.

World neurosurgery Jul 10, 2023
BACKGROUND: Narrowing of the lumbar spinal canal, or lumbar stenosis (LS), may cause debilitating radicular pain or muscle weakness. It is the most frequent indication for spinal surgery in the elderly population. Modern diagnosis relies on magnetic ...
Constriction, Pathologic Spinal Canal Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning Algorithms
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Effect of Deep Learning Reconstruction on Evaluating Cervical Spinal Canal Stenosis With Computed Tomography.

Journal of computer assisted tomography Jun 9, 2023
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal stenosis; however, some patients are ineligible for MRI. We aimed to assess the effect of deep learning reconstruction (DLR) in evaluating cervical spinal ...
Spinal Stenosis Radiation Dosage Spinal Canal Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Constriction, Pathologic Tomography, X-Ray Computed Algorithms Male Aged Retrospective Studies Middle Aged Adult
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Improved Productivity Using Deep Learning-assisted Reporting for Lumbar Spine MRI.

Radiology Jun 14, 2022
Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involves grading lumbar spinal stenosis, which is repetitive and time consuming. Deep learning (DL) could provide faster and more consistent interpretation. ...
Humans Retrospective Studies Female Middle Aged Lumbar Vertebrae Spinal Stenosis Spinal Canal Deep Learning Magnetic Resonance Imaging Constriction, Pathologic
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Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes.

European radiology Mar 29, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) provides improved cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes without increasing imaging time.
Observer Variation Spinal Canal Adult Cervical Vertebrae Male Constriction, Pathologic Humans Middle Aged Spinal Stenosis Female Deep Learning Magnetic Resonance Imaging
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Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.

Medical image analysis Oct 29, 2016
As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative impact on the quality of life due to its symptoms including pain, disability, fall risk and depression. Accurate boundary delineation is essential to t...
Spinal Canal Magnetic Resonance Imaging Humans Unsupervised Machine Learning Algorithms Spinal Stenosis
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Deep learning-based spinal canal segmentation of computed tomography image for disease diagnosis: A proposed system for spinal stenosis diagnosis.

Medicine May 3, 2024
BACKGROUND: Lumbar disc herniation was regarded as an age-related degenerative disease. Nevertheless, emerging reports highlight a discernible shift, illustrating the prevalence of these conditions among younger individuals.
Humans Deep Learning Image Processing, Computer-Assisted Lumbar Vertebrae Adult Tomography, X-Ray Computed Spinal Stenosis Male Female Intervertebral Disc Displacement Middle Aged Spinal Canal
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Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study.

AJNR. American journal of neuroradiology Sep 1, 2019
BACKGROUND AND PURPOSE: Quantitative imaging biomarkers have not been established for the diagnosis of spinal canal stenosis. This work aimed to lay the groundwork to establish such biomarkers by leveraging the developments in machine learning and me...
Lumbar Vertebrae Reference Values Humans Spinal Stenosis Machine Learning Spinal Canal Female Male Middle Aged Aged Magnetic Resonance Imaging Adult
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