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Published on: September 25, 2019
Is It possible to recognize pulmonary infarction on multisection CT images?
Marie-Pierre Revel1, Rached Triki, Gilles Chatellier
1Assistance Publique des Hôpitaux de Paris, and Université Paris Descartes, France. marie-pierre.revel@egp.aphp.fr
Central lucencies on CT scans are highly indicative of pulmonary infarction, showing 98% specificity. This finding aids in distinguishing pulmonary infarction from other consolidations.
Area of Science:
- Radiology
- Pulmonary Medicine
- Diagnostic Imaging
Background:
- Pulmonary infarction diagnosis can be challenging.
- Multidetector computed tomography (CT) is crucial for evaluating peripheral pulmonary consolidations.
- Differentiating pulmonary infarction from other causes requires accurate imaging findings.
Purpose of the Study:
- To assess the sensitivity and specificity of four CT findings for distinguishing pulmonary infarction.
- To evaluate the diagnostic value of triangular shape, vessel sign, central lucencies, and air bronchograms.
- To compare these findings against clinical and other CT data.
Main Methods:
- Retrospective analysis of 150 peripheral pulmonary consolidations (50 pulmonary infarctions, 100 other causes).
- Three radiologists independently assessed CT images for triangular shape, vessel sign, central lucencies, and air bronchograms.
- Interobserver agreement, frequency, sensitivity, specificity, and positive likelihood ratio (LR) were calculated.
Main Results:
- Central lucencies were significantly more frequent in pulmonary infarctions (46%) than other consolidations (2%, P<.001) with a positive LR of 23.0.
- Air bronchograms were less frequent in pulmonary infarctions (8%) compared to other causes (40%, P=.003).
- Central lucencies demonstrated 98% specificity and 46% sensitivity for pulmonary infarction.
Conclusions:
- Central lucencies are a strong indicator of pulmonary infarction.
- The presence of central lucencies on CT scans is highly suggestive of pulmonary infarction.
- This finding aids in the differential diagnosis of peripheral pulmonary consolidations.
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