ArticleEuropean radiology2019
Multi-detector CT imaging: impact of virtual tube current reduction and sparse sampling on detection of vertebral fractures.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Computed Tomography of the Spine : Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.Clinical neuroradiology · 2023Pooled it
- Computed tomography with low-dose radiation versus standard-dose radiation for diagnosing fractures: systematic review and meta-analysis.Sao Paulo medical journal = Revista paulista de medicinaPooled it
- Radiation dose reduction for CT-guided intrathecal nusinersen administration in adult patients with spinal muscular atrophy.Scientific reports · 2020Trial
- Simulated low-dose multi-detector computed tomography: spatial effects on surrogate parameters of bone strength at the proximal femur.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- Multi-stream and multi-scale fusion rib fracture segmentation network based on UXNet.Quantitative imaging in medicine and surgery · 2025Article
- Tube current reduction and iterative image reconstruction for computed tomography myelography.Scientific reports · 2024Article
- Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.Journal of imaging informatics in medicine · 2024Article
- Impact of radiation dose reduction and iterative image reconstruction on CT-guided spine biopsies.Scientific reports · 2023Article
- Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.International journal of computer assisted radiology and surgery · 2022Article
- A geometry-guided multi-beamlet deep learning technique for CT reconstruction.Biomedical physics & engineering express · 2022Article
- Low-dose multi-detector computed tomography for periradicular infiltrations at the cervical and lumbar spine.Scientific reports · 2022Article
- Epidemiology and reporting of osteoporotic vertebral fractures in patients with long-term hospital records based on routine clinical CT imaging.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022Article
- Impact of dose reduction and iterative model reconstruction on multi-detector CT imaging of the brain in patients with suspected ischemic stroke.Scientific reports · 2021Article
- Low-dose MDCT: evaluation of the impact of systematic tube current reduction and sparse sampling on quantitative paraspinal muscle assessment.Quantitative imaging in medicine and surgery · 2021Article
- Automatic detection and classification of rib fractures based on patients' CT images and clinical information via convolutional neural network.European radiology · 2021Article
- Systematic Evaluation of Low-dose MDCT for Planning Purposes of Lumbosacral Periradicular Infiltrations.Clinical neuroradiology · 2020Article
- Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.Korean journal of radiology · 2020Article
- Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?Frontiers in endocrinology · 2020Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
Abstract
purposeTo systematically evaluate the effects of virtual tube current reduction and sparse sampling on image quality and vertebral fracture diagnostics in multi-detector computed tomography (MDCT). MATERIALS AND
methodsIn routine MDCT scans of 35 patients (80.0% females, 70.6 ± 14.2 years, 65.7% showing vertebral fractures), reduced radiation doses were retrospectively simulated by virtually lowering tube currents and applying sparse sampling, considering 50%, 25%, and 10% of the original tube current and projections, respectively. Two readers evaluated items of image quality and presence of vertebral fractures. Readout between the evaluations in the original images and those with virtually lowered tube currents or sparse sampling were compared.
resultsA significant difference was revealed between the evaluations of image quality between MDCT with virtually lowered tube current and sparse-sampled MDCT (p < 0.001). Sparse-sampled data with only 25% of original projections still showed good to very good overall image quality and contrast of vertebrae as well as minimal artifacts. There were no missed fractures in sparse-sampled MDCT with 50% reduction of projections, and clinically acceptable determination of fracture age was possible in MDCT with 75% reduction of projections, in contrast to MDCT with 50% or 75% virtual tube current reduction, respectively.
conclusionSparse-sampled MDCT provides adequate image quality and diagnostic accuracy for vertebral fracture detection with 50% of original projections in contrast to corresponding MDCT with lowered tube current. Thus, sparse sampling is a promising technique for dose reductions in MDCT that could be introduced in future generations of scanners. KEY POINTS: • MDCT with a reduction of projection numbers of 50% still showed high diagnostic accuracy without any missed vertebral fractures. • Clinically acceptable determination of vertebral fracture age was possible in MDCT with a reduction of projection numbers of 75%. • With sparse sampling, higher reductions in radiation exposure can be achieved without compromised image or diagnostic quality in routine MDCT of the spine as compared to MDCT with reduced tube currents.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.