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Magnetic resonance detection of acute pulmonary emboli in a canine model with pathologic correlation

T V Huynh1, C J Bergin, J Hauschildt

  • 1Department of Radiology, University of California, San Diego 92103-8756, USA.

Academic Radiology
|December 1, 1996
PubMed
Abstract

Insights

Magnetic resonance (MR) imaging shows reasonable accuracy for detecting acute pulmonary embolism. Fast short-tau inversion-recovery sequences offer the highest accuracy for diagnosing these emboli at lobar and segmental levels.

Area of Science:

  • Radiology
  • Medical Imaging
  • Cardiovascular Imaging

Background:

  • Pulmonary embolism (PE) is a significant cause of morbidity and mortality.
  • Accurate and timely diagnosis of PE is crucial for effective treatment.
  • Magnetic resonance (MR) imaging is a non-invasive modality with potential for PE detection.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of different MR imaging sequences for acute pulmonary emboli.
  • To assess MR imaging performance at lobar, segmental, and subsegmental levels.

Main Methods:

  • Autologous emboli were induced in five dogs and confirmed via angiography and dissection.
  • Four MR imaging sequences were used to image the emboli.
  • Two radiologists independently evaluated MR images for emboli detection at segmental and lobar levels.
  • Sensitivity, specificity, and accuracy were calculated for each sequence.

Main Results:

  • Fast short-tau inversion-recovery (FSTIR) sequences demonstrated the highest conspicuity and overall accuracy (74.3%-80%).
  • Two-dimensional fast multiplanar spoiled gradient-recalled-echo (2D FMSGR) sequences had limited accuracy due to spatial resolution (71.4%-74.3%).
  • Fast spin-echo T2-weighted and spin-echo T1-weighted sequences showed intermediate accuracy.

Conclusions:

  • MR imaging can depict acute pulmonary embolism with reasonable accuracy at lobar and segmental levels.
  • FSTIR sequences are superior for detecting acute pulmonary emboli, offering the greatest sensitivity and accuracy.

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