Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: This prospective study aimed to evaluate the capabilities of two novel vertex-toes CT protocols (ultra-low and low-dose) compared to a standard high-dose CT protocol plus radiographic skeletal survey (SS) in a post-mortem setting. The study sought to assess perceived image quality (IQ) and the fracture detection capabilities of each CT protocol.
Materials And Methods: Participants aged 2 years and under received three whole-body CT scans, followed by a SS. Radiologists reviewed images in the sequence of ultra-low, low-dose, to standard-dose CT, then SS. The reviewers graded perceived IQ on a Likert scale. Gwet's agreement coefficient (AC)-2 and cumulative link mixed models quantified interobserver agreement and IQ differences, respectively. Fractures detected by each modality were compared across anatomical regions, with positive specific agreement (PSA) assessing interobserver agreement. Radiation doses were calculated for each CT protocol.
Results: Significant differences in IQ ratings were observed across CT protocols for all anatomical regions (ribs [ultra-low-low], p = 0.0001; femur [ultra-low-low], p = 0.0001; all others, p < 0.001), alongside low interobserver agreement in IQ (lumbar spine [low-dose]-AC = 0.78; humerus [low-dose]-AC = 0.77; all others, AC < 0.7). Among 29 participants, 69 fractures were identified across modalities, all being detected by the standard-dose CT. Ultra-low and low-dose CT identified 62 (90%) of fractures detected using standard-dose CT. SS detected the fewest (17 (25%)), with the highest false-positive rate. Higher CT doses were associated with higher PSA values for fracture detection. Doses for UL and low-dose CTs were 1.3-2.3 mSv.
Conclusion: Low-dose CT improved fracture detection, reduced false positives, and delivered less radiation than a bone scan, highlighting its potential for use in clinical suspected non-accidental injury.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00256-025-04997-0 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multicontrast MR-Guided Diffusion Model for Ultra-Low-Dose Brain PET Denoising in Temporal Lobe Epilepsy.
IEEE J Biomed Health Inform
September 2025
Positron Emission Tomography (PET) is a critical imaging modality in nuclear medicine but requires radioactive tracer administration, which increases radiation exposure risks. While recent studies have investigated MR-guided low-dose PET denoising, they neglect two critical factors: the synergistic roles of multicontrast MR images and disease-specific denoising requirements. In this work, we propose a diffusion model that integrates T1-weighted, T2 fluid attenuated inversion recovery (T2 FLAIR), and hippocampal-optimized (T2 HIPPO) MR sequences to achieve ultra-low-dose PET denoising tailored for temporal lobe epilepsy (TLE).
View Article and Find Full Text PDFOptimization of carotid CT angiography image quality with deep learning image reconstruction with high setting (DLIR-H) algorithm under ultra-low radiation and contrast agent conditions.
Radiography (Lond)
September 2025
Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China; School of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, 221002, China; Jiangsu Provincial Engineering Research Center for Medical Imaging and Digital Medicine, Xuzhou, Jiangs
Introduction: Carotid artery disease is a major cause of stroke and is frequently evaluated using Carotid CT Angiography (CTA). However, the associated radiation exposure and contrast agent use raise concerns, particularly for high-risk patients. Recent advances in Deep Learning Image Reconstruction (DLIR) offer new potential to enhance image quality under low-dose conditions.
View Article and Find Full Text PDFUltra-low dose computed tomography chest chest radiography in paediatric primary ciliary dyskinesia: A prospective study.
World J Radiol
August 2025
Department of Radiology, Cork University Hospital, Cork T12 DC4A, Ireland.
Background: Primary ciliary dyskinesia (PCD) is a rare condition characterised by dysmotile, immotile, or absent cilia. As a result of the impairment in respiratory mucociliary clearance, patients with PCD typically develop neonatal respiratory distress, nasal congestion, otitis media and recurrent respiratory infections leading to bronchiectasis and structural lung changes. These changes have been shown by chest computed tomography (CT) to develop in infancy and early childhood.
View Article and Find Full Text PDFUltra-low dose CT for Suspected Paediatric Foreign Body Aspiration: Comparison with conventional radiograph.
J Laryngol Otol
August 2025
Department of Paediatric Otolaryngology, Children's Health Ireland at Temple Street.
Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study.
J Imaging Inform Med
August 2025
Department of Diagnostic and Interventional Radiology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
This retrospective study evaluates U-Net-based artifact reduction for dose-reduced sparse-sampling CT (SpSCT) in terms of image quality and diagnostic performance using a reader study and automated detection. CT pulmonary angiograms from 89 patients were used to generate SpSCT data with 16 to 512 views. Twenty patients were reserved for a reader study and test set, the remaining 69 were used to train (53) and validate (16) a dual-frame U-Net for artifact reduction.
View Article and Find Full Text PDF