ArticleResearch in diagnostic and interventional imaging2023
A patient-specific timing protocol for improved CT pulmonary angiography.
Article in Research in diagnostic and interventional imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Patient-Specific Timing for Pulmonary CT Angiography: Human Validation of a Physiologically Derived Post-Trigger Delay Model.Diagnostics (Basel, Switzerland) · 2026Article
- Patient-specific timing acquisition for coronary CT angiography: A retrospective patient validation study.European journal of radiology open · 2026Article
- Optimizing CT pulmonary angiography with patient-adaptive triggering-a novel approach for a "one-stop-shop" evaluation of pulmonary and aortic vasculature.European radiology · 2026Article
- Pulmonary regional blood flow: validation of low-dose two-volume dynamic CT perfusion imaging in a swine model.European radiology experimental · 2025Article
- Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data.PloS one · 2024Article
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Authors and funding
6 authors.
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Abstract
Rationale and objectives: To improve the image quality of CT pulmonary angiography (CTPA) using a patient-specific timing protocol. Material and methods: A total of 24 swine (48.5 ± 14.3 kg) underwent continuous contrast-enhanced dynamic CT acquisition over 30 s to capture the pulmonary arterial input function (AIF). Multiple contrast injections were made under different cardiac outputs (1.4-5.1 L/min), resulting in a total of 154 AIF curves. The volume scans with maximal enhancement in these AIF curves were retrospectively selected as the reference standard (group A). Two prospective CTPA protocols with bolus-tracking were then simulated using these AIF curves: one used a fixed delay of 5 s between triggering and CTPA acquisition (group B), while the other used a specific delay based on one-half of the contrast injection duration (group C). The mean attenuation, signal-to-noise (SNR) and contrast-to-noise ratios (CNR) between the three groups were then compared using independent sample Results: The mean attenuation of pulmonary arteries for group A, B and C (expressed in [HU]) were 870.1 ± 242.5 HU, 761.1 ± 246.7 HU and 825.2 ± 236.8 HU, respectively. The differences in the mean SNR and CNR between Group A and Group C were not significant (SNR: 65.2 vs. 62.4, CNR: 59.6 vs. 56.4, both Conclusion: The image quality of CT pulmonary angiography is significantly improved with a timing protocol determined using contrast injection delivery time, as compared with a standard timing protocol with a fixed delay between bolus triggering and image acquisition.
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