AIMC Topic: Spinal Stenosis

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Automatic segmentation of dura for quantitative analysis of lumbar stenosis: A deep learning study with 518 CT myelograms.

Journal of applied clinical medical physics May 10, 2024
BACKGROUND: The diagnosis of lumbar spinal stenosis (LSS) can be challenging because radicular pain is not often present in the culprit-level localization. Accurate segmentation and quantitative analysis of the lumbar dura on radiographic images are ...
Tomography, X-Ray Computed Female Aged Adult Humans Lumbar Vertebrae Algorithms Spinal Stenosis Retrospective Studies Male Dura Mater Middle Aged Myelography Deep Learning Image Processing, Computer-Assisted
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Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

Journal of imaging informatics in medicine Apr 26, 2024
The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with respect to interobserver agreement in the evaluation of neuroforaminal stenosi...
Humans Retrospective Studies Image Processing, Computer-Assisted Magnetic Resonance Imaging Cervical Vertebrae Female Adult Spinal Stenosis Aged Male Image Interpretation, Computer-Assisted Aged, 80 and over Middle Aged Observer Variation Deep Learning Signal-To-Noise Ratio
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Diagnostic evaluation of deep learning accelerated lumbar spine MRI.

The neuroradiology journal Jan 9, 2024
BACKGROUND AND PURPOSE: Deep learning (DL) accelerated MR techniques have emerged as a promising approach to accelerate routine MR exams. While prior studies explored DL acceleration for specific lumbar MRI sequences, a gap remains in comprehending t...
Spinal Stenosis Signal-To-Noise Ratio Spinal Diseases Deep Learning Magnetic Resonance Imaging Lumbar Vertebrae Humans Prospective Studies Female Aged Adult Male Middle Aged
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Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis.

Scientific reports Jan 2, 2024
Although the role of plain radiographs in diagnosing lumbar spinal stenosis (LSS) has declined in importance since the advent of magnetic resonance imaging (MRI), diagnostic ability of plain radiographs has improved dramatically when combined with de...
Humans Magnetic Resonance Imaging Spinal Stenosis Neural Networks, Computer Algorithms Deep Learning
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Development of a Deep-Learning Model for Diagnosing Lumbar Spinal Stenosis Based on CT Images.

Spine Dec 19, 2023
STUDY DESIGN: Retrospective study.
Middle Aged Deep Learning Humans Lumbar Vertebrae Spinal Stenosis Retrospective Studies Tomography, X-Ray Computed Aged, 80 and over Female Adult Aged Male
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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 ...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Spinal Stenosis Middle Aged Aged Radiation Dosage Deep Learning Adult Spinal Canal Radiographic Image Interpretation, Computer-Assisted Male Constriction, Pathologic
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Deep learning for automated, interpretable classification of lumbar spinal stenosis and facet arthropathy from axial MRI.

European radiology Mar 15, 2023
OBJECTIVES: To evaluate a deep learning model for automated and interpretable classification of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine MRI.
Spinal Stenosis Joint Diseases Intervertebral Disc Deep Learning Magnetic Resonance Imaging Constriction, Pathologic Lumbar Vertebrae Humans Retrospective Studies
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Deep Learning Algorithm for Identifying Cervical Cord Compression Due to Degenerative Canal Stenosis on Radiography.

Spine Feb 10, 2023
STUDY DESIGN: Cross-sectional study.
Spinal Cord Compression Constriction, Pathologic Humans Spinal Stenosis Cross-Sectional Studies Cervical Cord Magnetic Resonance Imaging Deep Learning Spinal Cord Diseases Radiography Cervical Vertebrae
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LSS-VGG16: Diagnosis of Lumbar Spinal Stenosis With Deep Learning.

Clinical spine surgery Jan 20, 2023
STUDY DESIGN: This was a retrospective study.
Low Back Pain Constriction, Pathologic Humans Lumbar Vertebrae Retrospective Studies Spinal Stenosis Deep Learning Intervertebral Disc Displacement
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Predicting decompression surgery by applying multimodal deep learning to patients' structured and unstructured health data.

BMC medical informatics and decision making Jan 6, 2023
BACKGROUND: Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are two subtypes highly associated with LBP. Patients with LDH/LSS are often s...
Decompression, Surgical Humans Prospective Studies Spinal Stenosis Retrospective Studies Intervertebral Disc Displacement Deep Learning Low Back Pain Treatment Outcome Lumbar Vertebrae
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