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A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
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Multiparametric MRI in characterizing venous thrombi and pulmonary thromboemboli acquired from patients with

Jernej Vidmar1,2, Eduard Kralj3, Franci Bajd2,4

  • 1Institute of Physiology, Medical Faculty, University of Ljubljana, Slovenia.

Journal of Magnetic Resonance Imaging : JMRI
|December 4, 2014
PubMed
Abstract

Insights

Multiparametric MRI effectively distinguishes thrombus types using T2 and apparent diffusion coefficient (ADC) mapping. This aids in understanding thrombus structure for improved treatment strategies.

Area of Science:

  • Radiology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Thrombus structure impacts reperfusion and mechanical thrombectomy outcomes.
  • Differentiating thrombus types is crucial for treatment optimization.

Purpose of the Study:

  • To differentiate thrombus groups using T2 and apparent diffusion coefficient (ADC) MRI properties.
  • To correlate MRI findings with thrombus structural changes.

Main Methods:

  • 26 venous thrombi (VT), 28 acute pulmonary thromboemboli (aPTE), 18 chronic pulmonary thromboemboli (cPTE), and 18 sedimented clots (SC) were analyzed.
  • Three-dimensional T1-weighted spin-echo, T2, and ADC mapping were performed.
  • Statistical analysis and overlap integrals assessed differences between thrombus groups.

Main Results:

  • Paired ADC-T2 distribution showed the highest efficiency in discriminating thrombus structural changes.
  • Significant differences (p < 0.05) and low overlap integrals (OIADC-T2 ≤ 0.379) were observed between most thrombus pairs.
  • Discrimination was least efficient for the venous thrombi-acute pulmonary thromboemboli pair.

Conclusions:

  • Multiparametric MRI is effective for differentiating thrombus groups.
  • MRI-based characterization aids in assessing thrombus organization stages.
  • This technique can inform treatment strategies for thromboembolic diseases.
Keywords:
ADC mappingT2 mappingmultiparametric MRIpulmonary thromboemboli

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