Pulmonary Embolism Diagnostic Approach
Yes, you should rule out pulmonary embolism (PE) using a structured diagnostic algorithm based on clinical probability assessment, D-dimer testing, and appropriate imaging studies. 1
Diagnostic Algorithm for Suspected PE
Step 1: Assess Clinical Probability
First, use validated clinical prediction rules to estimate pretest probability of PE:
- Wells score or revised Geneva score
- Categorize patients as low, intermediate, or high probability (or PE-likely vs PE-unlikely)
Step 2: D-dimer Testing
For low clinical probability patients:
- If all PERC (Pulmonary Embolism Rule-Out Criteria) criteria are met, no further testing is needed 1
- If PERC criteria not met, obtain high-sensitivity D-dimer test
For intermediate clinical probability patients:
For high clinical probability patients:
Step 3: Imaging Studies
If D-dimer is negative:
- No further testing needed - PE is excluded 1
If D-dimer is positive or in high clinical probability patients:
Interpretation of Results
Normal CTPA:
Positive CTPA (segmental or more proximal filling defect):
- In intermediate/high probability: Confirms PE diagnosis without further testing 1
Isolated subsegmental filling defects:
- Consider further imaging tests to confirm PE 1
V/Q scan:
Important Caveats and Pitfalls
D-dimer limitations:
Clinical presentation variability:
Mortality risk:
- Untreated PE has approximately 30% mortality rate, while treated PE has <8% mortality 3
- Prompt diagnosis and treatment significantly improve outcomes
Diagnostic challenges:
- No single non-invasive test is both highly sensitive and specific 4
- Combination of clinical assessment and appropriate testing is essential
By following this structured approach, you can effectively rule out PE in low-risk patients while ensuring appropriate diagnosis and treatment in those with higher probability of disease, ultimately reducing morbidity and mortality.