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Related Experiment Videos

Pulmonary infarction: CT appearance with pathologic correlation.

J Balakrishnan1, M A Meziane, S S Siegelman

  • 1Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Medical Institutions, Baltimore, MD 21205.

Journal of Computer Assisted Tomography
|November 1, 1989
PubMed
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Pulmonary infarction diagnosis is often missed clinically. Characteristic CT findings, including pleural-based densities with specific border and linear strand features, strongly suggest pulmonary infarction.

Area of Science:

  • Radiology
  • Pulmonary Medicine
  • Pathology

Background:

  • Pulmonary infarction is a serious condition often difficult to diagnose clinically.
  • Computed Tomography (CT) plays a crucial role in visualizing pulmonary pathologies.
  • Correlation between imaging findings and pathological evidence is essential for accurate diagnosis.

Purpose of the Study:

  • To analyze the CT appearance of pathologically proven pulmonary infarcts.
  • To correlate CT findings with the actual pathologic characteristics of pulmonary infarcts.
  • To identify specific CT features that can increase suspicion for pulmonary infarction.

Main Methods:

  • Retrospective analysis of CT scans from 10 patients with 12 confirmed pulmonary infarcts.
  • Correlation of CT imaging findings with corresponding pathologic examination results.

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  • Detailed description of characteristic CT imaging features observed in the cases.

    • Main Results:

    • Pulmonary infarction was clinically suspected in only 20% of patients.
    • A consistent CT pattern was observed: pleural-based density, convex/bulging borders, and linear strands towards the hilum (100% of cases).
    • Additional common features included truncated apex (83%), broad pleural base (83%), and areas of reduced attenuation (58%).

    Conclusions:

    • Clinical suspicion for pulmonary infarction is frequently low.
    • A specific complex of CT findings, including pleural-based density with convex borders and linear strands, is highly suggestive of pulmonary infarction.
    • Recognition of these CT features can significantly improve diagnostic accuracy for pulmonary infarction.