AIMC Topic: Spinal Fractures

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Efficacy and safety of robot-assisted versus fluoroscopy-assisted PKP or PVP for osteoporotic vertebral compression fractures: a systematic review and meta-analysis.

Journal of robotic surgery
Percutaneous vertebral augmentation (PVA), which includes percutaneous kyphoplasty (PKP) and percutaneous vertebroplasty (PVP). Robot-assisted (RA) and fluoroscopy-assisted (FA) are important methods for treating osteoporotic vertebral compression fr...

Generalizability of Deep Learning Classification of Spinal Osteoporotic Compression Fractures on Radiographs Using an Adaptation of the Modified-2 Algorithm-Based Qualitative Criteria.

Academic radiology
RATIONALE AND OBJECTIVES: Spinal osteoporotic compression fractures (OCFs) can be an early biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure early diagnosis and treatment of osteoporosis, we aimed to build a de...

Robot-assisted spinal augmentation procedures: is it worth the increased effort?

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
PURPOSE: Spinal augmentation procedures (SAP) are standard procedures for vertebral compression fractures. Often, SAPs are carried out in a minimally invasive, percutaneous way. Certain anatomic conditions such as small pedicles or kyphotic deformiti...

Differential diagnosis of benign and malignant vertebral compression fractures: Comparison and correlation of radiomics and deep learning frameworks based on spinal CT and clinical characteristics.

European journal of radiology
PURPOSE: Differentiating benign from malignant vertebral compression fractures (VCFs) is a diagnostic dilemma in clinical practice. To improve the accuracy and efficiency of diagnosis, we evaluated the performance of deep learning and radiomics metho...

Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist's assessment.

European radiology
OBJECTIVE: To test the diagnostic performance of a deep-learning Two-Stream Compare and Contrast Network (TSCCN) model for differentiating benign and malignant vertebral compression fractures (VCFs) based on MRI.

Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning methods to lateral spine radiography (a simple, widely available, low-cost test) can potentially solve this problem. In this study, we develop deep learni...

Application of artificial intelligence centric workflows for evaluation of neuroradiology emergencies.

Clinical imaging
The goal of this study was to perform a pilot study to assess user-interface of radiologists with an artificial-intelligence (AI) centric workflow for detection of intracranial hemorrhage (ICH) and cervical spine fractures (CSFX). Over 12-month perio...

Robot-assisted percutaneous pars-pedicle screw fixation for treating Hangman's fracture.

Journal of orthopaedic surgery and research
BACKGROUND: This study aimed to evaluate the safety and efficacy of robot-assisted percutaneous pars-pedicle screw fixation surgery for treating Hangman's fracture.