ArticleCureus2025
Computed Tomography Pulmonary Angiography (CTPA) Utilization in Suspected Pulmonary Embolism Patients Based on Age-Adjusted D-dimer Thresholds and Pulmonary Embolism Rule-Out Criteria (PERC) Score: A Retrospective Analysis.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- External validation of the PE-SCORE for predicting early clinical deterioration in acute pulmonary embolism using real-world data.Journal of thrombosis and thrombolysis · 2026Article
- Pulmonary Embolism After Acute Ischaemic Stroke (PEARL-AIS): Global Prevalence, Risk Factors, Outcomes, and Evidence Grading from a Meta-Analysis.Neurology international · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Computed tomography pulmonary angiography (CTPA) is the gold standard for diagnosing pulmonary embolism (PE), but its overuse can lead to unnecessary radiation exposure and increased healthcare costs. This clinical audit evaluated adherence to National Institute for Health and Care Excellence (NICE) guidelines (NG 158) for CTPA utilization in suspected PE cases. A retrospective analysis of 164 patients at the Royal Stoke University Hospital assessed the application of the pulmonary embolism rule-out criteria (PERC) score in patients aged 18-49 and age-adjusted D-dimer thresholds in those aged 50 and above. Findings revealed that only 14.6% of CTPA scans confirmed PE. Notably, 46.93% of patients under 50 with a PERC score of 0 underwent unnecessary imaging, and 13 patients aged 50 and above with normal age-adjusted D-dimer levels had CTPA, all yielding negative results. These findings indicate a significant overuse of CTPA in low-risk patients. Improving adherence to risk stratification tools through clinician education, decision-support tools, and increased awareness could reduce unnecessary imaging, minimize radiation exposure, and optimize healthcare resource utilization.
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