Optimizing CT pulmonary angiography with patient-adaptive triggering—a novel approach for a “one-stop-shop” evaluation of pulmonary and aortic vasculature - Report - MDSpire
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Optimizing CT pulmonary angiography with patient-adaptive triggering—a novel approach for a “one-stop-shop” evaluation of pulmonary and aortic vasculature
This study evaluated a patient-adaptive trigger delay algorithm (FAST Bolus) for CT pulmonary angiography (CTPA) in suspected pulmonary embolism (PE). Compared to fixed-delay protocols, the adaptive approach improved objective image quality metrics, including vessel attenuation and contrast-to-noise ratio, particularly in pulmonary arteries and the aorta.
Background
Pulmonary embolism is a leading cardiovascular emergency requiring rapid and accurate diagnosis. Computed tomography pulmonary angiography (CTPA) is the gold standard but depends on optimal contrast timing for diagnostic accuracy. Traditional fixed trigger delay protocols do not account for individual patient hemodynamics, risking suboptimal vessel opacification. The FAST Bolus software dynamically adjusts scan timing based on real-time contrast enhancement, potentially improving image quality in CTPA.
Data Highlights
Group
Trigger Delay
Monitoring Region
Contrast Injection Flow Rate (mL/s)
Contrast Volume (mL)
A
Fixed 6 s
Pulmonary trunk
4
70
B
Fixed 6 s
Ascending aorta
4
70
C
Patient-adaptive
Ascending aorta
4
70
Key Findings
Patient-adaptive trigger delay (Group C) significantly improved CT attenuation and contrast-to-noise ratio (CNR) in pulmonary arteries compared to fixed-delay groups.
Adaptive timing accounted for individual hemodynamic variability, optimizing scan acquisition relative to contrast bolus arrival.
Monitoring in the ascending aorta with adaptive delay yielded better image quality than fixed delay monitoring in either the pulmonary trunk or ascending aorta.
Subjective image quality assessments corroborated objective improvements with the adaptive protocol.
The FAST Bolus algorithm dynamically adjusts scan timing based on real-time enhancement upslope, originally optimized for aortic CTA but adapted here for earlier pulmonary contrast arrival.
Clinical Implications
Implementing patient-adaptive trigger delay algorithms in CTPA protocols can enhance diagnostic image quality by tailoring scan timing to individual patient physiology. This approach may reduce nondiagnostic scans and improve detection of pulmonary embolism and concurrent aortic pathology. Clinicians should consider adaptive bolus tracking software to optimize contrast enhancement and improve confidence in CTPA interpretation.
Conclusion
Patient-specific trigger delay using the FAST Bolus algorithm improves both objective and subjective image quality in CTPA compared to fixed-delay protocols. This innovative strategy enhances comprehensive assessment of pulmonary and aortic vessels in suspected pulmonary embolism.
References
1,2 -- Epidemiology and importance of pulmonary embolism
3,4,5 -- Clinical presentation and differential diagnosis of PE
6,7 -- Influence of patient-specific variables on contrast enhancement
8,9 -- Limitations of fixed trigger delay in CTPA
10 -- Improved image quality with adaptive protocols in aortic CTA
11 -- Preclinical evaluation of adaptive protocols for PE diagnosis
12,13 -- FAST Bolus software cardiovascular modeling
14 -- Technical details of FAST Bolus adaptive triggering