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Objective: Currently, CT pulmonary angiogram (CTPA) for evaluating acute pulmonary embolism (PE) in emergency departments (EDs) is overused and with low yields. The goal of this study is to assess the impact of an evidence-based clinical decision support (CDS) tool, aimed at optimizing appropriate use of CTPA for evaluating PE.
Methods: The study was performed at EDs in a large health care system and included nine academic and community hospitals. The primary outcome was the percent difference in utilization (number of CTPAs performed per number of ED visits) and secondary outcome was yield (percentage of CTPAs positive for acute PE), comparing 12 months before (June 1, 2021, to May 31, 2022) versus 12 months after (June 1, 2022, to May 31, 2023) a systemwide implementation of the CDS. Univariate and multivariable analyses using logistic regression were performed to assess factors associated with diagnosis of acute PE. Statistical process control charts were used to assess monthly trends in utilization and yield.
Results: Among 931,677 visits to EDs, 28,101 CTPAs were performed on 24,675 patients. In all, 14,825 CTPAs were performed among 455,038 visits (3.26%) pre-intervention and 13,276 among 476,639 visits (2.79%) postintervention, a 14.51% relative decrease in CTPA utilization (χ, P < .001). CTPA yield remained unchanged (1,371 of 14,825 = 9.25% pre- versus 1,184 of 13,276 = 8.92% postintervention; χ, P = .34). Patients with coronavirus disease of 2019 diagnosis before CTPA had higher probability of acute PE. Statistical process control charts demonstrated seasonal variation in utilization (Friedman test, P = .047).
Discussion: Implementing a CDS based on validated decision rules was associated with a significant reduction in CTPA utilization. The change was immediate and sustained for 12 months postintervention.
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http://dx.doi.org/10.1016/j.jacr.2024.07.024 | DOI Listing |
Curr Med Imaging
September 2025
Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Introduction: Detecting Pulmonary Embolism (PE) is critical for effective patient care, and Artificial Intelligence (AI) has shown promise in supporting radiologists in this task. Integrating AI into radiology workflows requires not only evaluation of its diagnostic accuracy but also assessment of its acceptance among clinical staff.
Objective: This study aims to evaluate the performance of an AI algorithm in detecting pulmonary embolisms (PEs) on contrast-enhanced computed tomography pulmonary angiograms (CTPAs) and to assess the level of acceptance of the algorithm among radiology department staff.
Cureus
March 2025
Department of Emergency Medicine, Amrita Institute of Medical Sciences, Kochi, IND.
Introduction Computerized tomography pulmonary angiography (CTPA) is the gold standard test for diagnosing pulmonary embolism (PE); however, owing to its high cost, contrast dye toxicity, and radiation exposure, it is necessary to ensure that CTPA is not performed unnecessarily. European Society of Cardiology (ESC) guidelines recommend the use of pretest clinical assessment tools and D-dimer levels to stratify patients according to risk, thereby determining the need for CTPA. However, such a broad classification incorporates a large population, where cases of CTPA could have been avoided.
View Article and Find Full Text PDFJ Thorac Imaging
September 2025
Department of Diagnostic Radiology, Rhode Island Hospital.
Purpose: Pulmonary embolism (PE) is a significant cause of mortality in the United States. The objective of this study is to implement deep learning (DL) models using computed tomography pulmonary angiography (CTPA), clinical data, and PE Severity Index (PESI) scores to predict PE survival.
Materials And Methods: In total, 918 patients (median age 64 y, range 13 to 99 y, 48% male) with 3978 CTPAs were identified via retrospective review across 3 institutions.
Int J Gen Med
February 2025
Ondokuz Mayıs University Faculty of Medicine, Department of Radiology, Samsun, Turkiye.
Purpose: Pulmonary thromboembolism (PTE) is a common cause of cardiovascular mortality with an increasing incidence rate. Scoring patients with suspected pulmonary thromboembolism according to their symptoms, findings, and risk factors is useful for empirical diagnosis and management. The combination of D-dimer and clinical scoring allows the diagnosis to be excluded in approximately 30% of patients with suspected PTE without the need for imaging methods.
View Article and Find Full Text PDFMed Klin Intensivmed Notfmed
January 2025
University Heart Center Lübeck, Department of Cardiology, Angiology and Intensive Care Medicine, University of Lübeck, German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
Background: Pulmonary arterial embolism (PE) is not well characterized in elderly patients. In addition, unnecessary computed tomography pulmonary angiography (CTPA) examinations are often performed within this patient group, especially if the pretest probability is low.
Objective: To identify differences in clinical presentation in patients aged ≥80 years compared to patients <80 years and the effect of a BGA-optimized pretest probability to reduce unnecessary CTPAs according to age category.