ArticlePloS one2016
Ultra Low Dose CT Pulmonary Angiography with Iterative Reconstruction.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 55 citations in OpenAlex.
- Trial
- Deep-learning based image reconstruction enables reduced dose CT pulmonary angiography with non-inferior image quality.Scientific reports · 2026Article
- Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study.Journal of imaging informatics in medicine · 2026Article
- Clinical value of ultra-low-dose chest CT with deep learning image reconstruction in the detection and characterization of pulmonary nodules.Radiologie (Heidelberg, Germany) · 2026Article
- Study on the effect of three-low technique in aortic computed tomography angiography for patients with body mass index <30 kg/mQuantitative imaging in medicine and surgery · 2025Article
- Review
- Article
- Diagnostic performance of fluoroscopic video analysis for pulmonary embolism: a prospective observational study.The international journal of cardiovascular imaging · 2024Observational
- High-pitch CT pulmonary angiography (CTPA) with ultra-low contrast medium volume for the detection of pulmonary embolism: a comparison with standard CTPA.European radiology · 2024Article
- Even non-expert radiologists report chronic thromboembolic pulmonary hypertension (CTEPH) on CT pulmonary angiography with high sensitivity and almost perfect agreement.European radiology · 2024Article
- Improved image quality in CT pulmonary angiography using deep learning-based image reconstruction.Scientific reports · 2024Article
- A patient-specific timing protocol for improved CT pulmonary angiography.Research in diagnostic and interventional imaging · 2023Article
- Photon Starvation Artifact Reduction by Shift-Variant Processing.IEEE access : practical innovations, open solutions · 2022Article
- Dual-energy CT in pulmonary vascular disease.The British journal of radiology · 2022Review
- Diagnostic Performance of a Contrast-Enhanced Ultra-Low-Dose High-Pitch CT Protocol with Reduced Scan Range for Detection of Pulmonary Embolisms.Diagnostics (Basel, Switzerland) · 2021Article
- Factors Affecting Radiation Dose in Computed Tomography Angiograms for Pulmonary Embolism: A Retrospective Cohort Study.Journal of clinical imaging science · 2020Article
- Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study.European radiology · 2019Article
- The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.European radiology · 2019Review
- Perfusion-ventilation CT via three-material differentiation in dual-layer CT: a feasibility study.Scientific reports · 2019Article
- Performance of sparse-view CT reconstruction with multi-directional gradient operators.PloS one · 2019Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveEvaluation of a new iterative reconstruction algorithm (IMR) for detection/rule-out of pulmonary embolism (PE) in ultra-low dose computed tomography pulmonary angiography (CTPA).
methodsLower dose CT data sets were simulated based on CTPA examinations of 16 patients with pulmonary embolism (PE) with dose levels (DL) of 50%, 25%, 12.5%, 6.3% or 3.1% of the original tube current setting. Original CT data sets and simulated low-dose data sets were reconstructed with three reconstruction algorithms: the standard reconstruction algorithm "filtered back projection" (FBP), the first generation iterative reconstruction algorithm iDose and the next generation iterative reconstruction algorithm "Iterative Model Reconstruction" (IMR). In total, 288 CTPA data sets (16 patients, 6 tube current levels, 3 different algorithms) were evaluated by two blinded radiologists regarding image quality, diagnostic confidence, detectability of PE and contrast-to-noise ratio (CNR).
resultsiDose and IMR showed better detectability of PE than FBP. With IMR, sensitivity for detection of PE was 100% down to a dose level of 12.5%. iDose and IMR showed superiority to FBP regarding all characteristics of subjective (diagnostic confidence in detection of PE, image quality, image noise, artefacts) and objective image quality. The minimum DL providing acceptable diagnostic performance was 12.5% (= 0.45 mSv) for IMR, 25% (= 0.89 mSv) for iDose and 100% (= 3.57 mSv) for FBP. CNR was significantly (p < 0.001) improved by IMR compared to FBP and iDose at all dose levels.
conclusionBy using IMR for detection of PE, dose reduction for CTPA of up to 75% is possible while maintaining full diagnostic confidence. This would result in a mean effective dose of approximately 0.9 mSv for CTPA.
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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.