Compression fractures detection on CT

@inproceedings{Bar2017CompressionFD,
  title={Compression fractures detection on CT},
  author={Amir Bar and Lior Wolf and Orna Bergman Amitai and Eyal Toledano and Eldad Elnekave},
  booktitle={Medical Imaging},
  year={2017}
}
The presence of a vertebral compression fracture is highly indicative of osteoporosis and represents the single most robust predictor for development of a second osteoporotic fracture in the spine or elsewhere. [...] Key Method The algorithm is composed of three processes. First, the spinal column is segmented and sagittal patches are extracted. The patches are then binary classified using a Convolutional Neural Network (CNN). Finally a Recurrent Neural Network (RNN) is utilized to predict whether a vertebral…Expand
Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
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TLDR
An automatic system for identification of vertebral compression fractures on Computed Tomography images, which are often an undiagnosed precursor to major osteoporosis-related fractures, is presented, which has the potential to support osteopOrosis clinical management, improve treatment pathways, and to change the course of one of the most burdensome diseases of the authors' generation. Expand
Vrije Universiteit Brussel Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
Osteoporosis induced fractures occur worldwide about every 3 seconds. Vertebral compression fractures are early signs of the disease and considered risk predictors for secondary osteoporoticExpand
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An automatic system that can detect incidental OVFs in chest, abdomen, and pelvis CT examinations at the level of practicing radiologists is presented and evaluated and is expected to assist and improve OVF diagnosis in clinical settings by pre-screening routine CT examinations and flagging suspicious cases prior to review by radiologists. Expand
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A system for computer-aided diagnosis to help in the detection, labeling and segmentation of lumbar vertebral body (VB) and to further classify each VB into normal, malignant and benign VCFs is developed. Expand
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A novel fully automated approach to the detection of Vertebral Compression Fractures (VCF) is presented, which involves 3D localisation of thoracic and lumbar spine regions using Deep reinforcement Learning and Imitation Learning. Expand
Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography
TLDR
Good performance of a deep learning-based prototype algorithm detecting rib fractures on trauma CT on a per-examination level at a low rate of false-positives per case is found. Expand
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In detecting fresh OVF using MR images, the performance of the CNN was comparable to that of two spine surgeons, with the highest AUC of ROC curves. Expand
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TLDR
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Clinical Utility of Computer‐Aided Diagnosis of Vertebral Fractures From Computed Tomography Images
  • N. Kolanu, E. Silverstone, +7 authors N. Pocock
  • Medicine
  • Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
  • 2020
TLDR
The CAD tested in this study had a high specificity with moderate sensitivity to detect incidental vertebral fractures in CT scans performed for routine care, and a low NNS suggests it is an efficient tool to assist radiologists and clinicians to improve detection and reporting of vertebra fractures. Expand
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