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Updated: Jun 8, 2026

A Porcine Model of Acute Autologous Pulmonary Embolism

A Porcine Model of Acute Autologous Pulmonary Embolism

Published on: September 6, 2024

Pulmonary embolism: optimizing the diagnostic imaging approach.

Luis Antonio Sosa Lozano¹, Lawrence R Goodman, Kaushik Shahir

¹Department of Radiology, Medical College of Wisconsin, Milwaukee, WI 53226-3596, USA. lsosalozano@mcw.edu

Hospital Practice (1995)

|October 5, 2010

Summary

This summary is machine-generated.

Diagnosing venous thromboembolism involves assessing clinical probability, D-dimer levels, and imaging. Computed tomography angiography is the primary imaging tool, though other methods are needed for specific patient groups.

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Area of Science:

Medical Diagnostics
Cardiovascular Medicine
Radiology

Background:

Venous thromboembolism (VTE) is a prevalent medical condition with diverse clinical presentations.
Accurate diagnosis of VTE is crucial for effective patient management.
Current diagnostic strategies combine clinical assessment, laboratory tests, and imaging.

Purpose of the Study:

To review the diagnostic approach to venous thromboembolism.
To highlight the role of imaging modalities in VTE diagnosis.
To discuss the utility of computed tomography angiography and other imaging techniques.

Main Methods:

Review of current diagnostic guidelines and literature on venous thromboembolism.
Emphasis on the integration of pretest clinical probability, D-dimer testing, and imaging.
Discussion of various imaging modalities, including computed tomography angiography.

Main Results:

The diagnostic pathway for VTE typically involves a stepwise approach.
Computed tomography angiography is the most common imaging modality for diagnosing pulmonary embolism and deep vein thrombosis.
Specific patient subpopulations may require alternative or additional imaging techniques.

Conclusions:

A comprehensive diagnostic strategy is essential for timely and accurate VTE diagnosis.
Computed tomography angiography remains a cornerstone of VTE imaging, but its limitations necessitate consideration of other modalities.
Tailoring imaging choices to individual patient characteristics is critical for optimal diagnostic yield.