AIMC Topic: Spinal Fractures

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A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 29, 2025
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy (SBRT) is vertebral compression fracture (VCF). There is interest in the development of patient-specific tools that can predict those at high risk of...
Middle Aged Spinal Neoplasms Radiosurgery Spinal Fractures Risk Factors Aged Aged, 80 and over Male Humans Fractures, Compression Machine Learning Retrospective Studies Female
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Vision transformer and deep learning based weighted ensemble model for automated spine fracture type identification with GAN generated CT images.

Scientific reports Apr 25, 2025
The most common causes of spine fractures, or vertebral column fractures (VCF), are traumas like falls, injuries from sports, or accidents. CT scans are affordable and effective at detecting VCF types in an accurate manner. VCF type identification in...
Humans Neural Networks, Computer Spinal Fractures Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Improved radiological diagnosis of osteoporotic vertebral fragility fractures following UK-wide interventions and re-audit-can this be maintained and translated into clinical practice?

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Apr 22, 2025
UNLABELLED: To determine the potential economic, morbidity and mortality impact of improvements in reporting of vertebral fragility fractures (VFFs) following a complete audit cycle. Six percent interval increase in reporting of moderate/severe VFFs ...
Humans Retrospective Studies Tomography, X-Ray Computed Spinal Fractures Middle Aged Female Health Care Costs Cost-Benefit Analysis Aged Medical Audit Aged, 80 and over Quality Improvement Osteoporotic Fractures Male United Kingdom
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Toward Identifying and Resolving the Challenges to the Prognostic Validation of the Classifications for Thoracolumbar Burst Fractures: A Narrative Review.

Clinical spine surgery Mar 24, 2025
OBJECTIVE: To review the historical thoracolumbar burst fractures (TLBFs) classifications and discuss the probable gaps for their clinical validation.
Reproducibility of Results Thoracic Vertebrae Lumbar Vertebrae Spinal Fractures Humans Prognosis Tomography, X-Ray Computed
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Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis.

BMC medical imaging Feb 6, 2025
BACKGROUND: Vertebral compression fractures (VCFs) are prevalent in the elderly, often caused by osteoporosis or trauma. Differentiating acute from chronic VCFs is vital for treatment planning, but MRI, the gold standard, is inaccessible for some. Ho...
Aged, 80 and over Fractures, Compression Radiomics Male Deep Learning Retrospective Studies Middle Aged Humans ROC Curve Tomography, X-Ray Computed Magnetic Resonance Imaging Female Aged Spinal Fractures
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Conventional and machine learning-based analysis of age, body weight and body height significance in knot position-related thyrohyoid and cervical spine fractures in suicidal hangings.

International journal of legal medicine Feb 1, 2025
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot position as the force distribution by the noose to different neck regions may vary depending on it. Recently, machine learning models (MLm) were used to cla...
Thyroid Cartilage Suicide, Completed Spinal Fractures Asphyxia Neck Injuries Hyoid Bone Adult Male Middle Aged Adolescent Age Factors Cervical Vertebrae Body Weight Body Height Female Aged Aged, 80 and over Young Adult Humans Machine Learning Retrospective Studies
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A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.

Clinical radiology Jan 25, 2025
AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-consuming and sometimes overlooked. A deep learning pipeline for opportunistic fracture detection in computed tomography (CT) spine images of varying fie...
Spinal Fractures Deep Learning Thoracic Vertebrae Humans Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Aged, 80 and over Adult Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female Aged
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Machine Learning to Detect Cervical Spine Fractures Missed by Radiologists on CT: Analysis Using Seven Award-Winning Models From the 2022 RSNA Cervical Spine Fracture AI Challenge.

AJR. American journal of roentgenology Jan 8, 2025
Available data on radiologists' missed cervical spine fractures are based primarily on studies using human reviewers to identify errors on reevaluation; such studies do not capture the full extent of missed fractures. The purpose of this study was ...
Tomography, X-Ray Computed Female Aged Adult Diagnostic Errors Male Middle Aged Radiologists Humans Machine Learning Retrospective Studies Cervical Vertebrae Spinal Fractures Missed Diagnosis
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Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Scientific reports Dec 28, 2024
Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some patients experience functional disability following OVF. This study aimed to develop prediction models for new-onset functional impairment following admi...
Aged Spinal Fractures Humans Aged, 80 and over Osteoporotic Fractures Machine Learning Male Female Patient Discharge
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Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

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 Dec 21, 2024
PURPOSE: To develop a deep learning system for automatic segmentation of compression fracture vertebral bodies on thoracolumbar CT and differentiate between fresh and old fractures.
Lumbar Vertebrae Tomography, X-Ray Computed Humans Spinal Fractures Male Prospective Studies Fractures, Compression Female Middle Aged Aged Deep Learning Aged, 80 and over Thoracic Vertebrae
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