AIMC Topic: Spinal Fractures

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Feasibility of a generalized convolutional neural network for automated identification of vertebral compression fractures: The Manitoba Bone Mineral Density Registry.

Bone May 19, 2021
BACKGROUND: Vertebral fracture assessment (VFA) images are acquired in dual-energy (DE) or single-energy (SE) scan modes. Automated identification of vertebral compression fractures, from VFA images acquired using GE Healthcare scanners in DE mode, h...
Feasibility Studies Spinal Fractures Fractures, Compression Bone Density Deep Learning Registries Manitoba Humans Neural Networks, Computer
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Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning.

European radiology May 16, 2021
OBJECTIVES: To evaluate the performance of deep learning using ResNet50 in differentiation of benign and malignant vertebral fracture on CT.
Tomography, X-Ray Computed Deep Learning Diagnosis, Differential Humans Spinal Fractures Retrospective Studies
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Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs.

PloS one Jan 28, 2021
BACKGROUND: Identification of vertebral fractures (VFs) is critical for effective secondary fracture prevention owing to their association with the increasing risks of future fractures. Plain abdominal frontal radiographs (PARs) are a common investig...
Sensitivity and Specificity Deep Learning Radiography Neural Networks, Computer Image Interpretation, Computer-Assisted Humans Algorithms Spinal Fractures Databases, Factual
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Artificial intelligence for the detection of vertebral fractures on plain spinal radiography.

Scientific reports Nov 18, 2020
Vertebral fractures (VFs) cause serious problems, such as substantial functional loss and a high mortality rate, and a delayed diagnosis may further worsen the prognosis. Plain thoracolumbar radiography (PTLR) is an essential method for the evaluatio...
Retrospective Studies Female Aged Neural Networks, Computer Artificial Intelligence Prognosis ROC Curve Follow-Up Studies Radiography Absorptiometry, Photon Male Quality of Life Case-Control Studies Humans Spinal Fractures Osteoporotic Fractures
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Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry.

Radiology Sep 17, 2019
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting of fracture prevention therapies. Purpose To determine whether convolutional neural networks (CNNs) can be trained to identify VFs at VF assessment (VF...
Male Hip Fractures Absorptiometry, Photon Spinal Fractures Osteoporotic Fractures Retrospective Studies Female Aged Humans Neural Networks, Computer Prognosis
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Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.

Medical image analysis Feb 12, 2019
Precise segmentation and anatomical identification of the vertebrae provides the basis for automatic analysis of the spine, such as detection of vertebral compression fractures or other abnormalities. Most dedicated spine CT and MR scans as well as s...
Humans Neural Networks, Computer Tomography, X-Ray Computed Spinal Fractures Fractures, Compression Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.

European radiology Dec 5, 2018
PURPOSE: To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.
Retrospective Studies Tomography, X-Ray Computed Female Male Middle Aged Aged Aged, 80 and over Humans Machine Learning Lumbar Vertebrae Bone Density Case-Control Studies Spinal Fractures ROC Curve Fractures, Stress Thoracic Vertebrae
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Robot-assisted intravertebral augmentation corrects local kyphosis more effectively than a conventional fluoroscopy-guided technique.

Journal of neurosurgery. Spine Nov 30, 2018
OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating Magerl type A vertebral body fractures. However, poor correction of kyphotic angulation, the risk of cement leakage, and significant exposure to radiat...
Fractures, Compression Vertebroplasty Osteoporotic Fractures Retrospective Studies Female Robotics Aged Kyphosis Fluoroscopy Adult Humans Spinal Fractures Male Middle Aged
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Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.

Computers in biology and medicine May 8, 2018
Osteoporotic vertebral fractures (OVFs) are prevalent in older adults and are associated with substantial personal suffering and socio-economic burden. Early diagnosis and treatment of OVFs are critical to prevent further fractures and morbidity. How...
Spinal Fractures Humans Osteoporotic Fractures Neural Networks, Computer Osteoporosis Tomography, X-Ray Computed Image Interpretation, Computer-Assisted
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Combining C-arm CT with a new remote operated positioning and guidance system for guidance of minimally invasive spine interventions.

Journal of neurointerventional surgery Mar 5, 2014
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remote operated positioning and guidance system, iSYS1, for needle guidance during spinal interventions.
Spinal Fractures Robotics Humans Minimally Invasive Surgical Procedures Cone-Beam Computed Tomography Surgery, Computer-Assisted Imaging, Three-Dimensional
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