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The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
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Related Experiment Video

Updated: Feb 27, 2026

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Experimental Characterisation of Differently Composed Thrombus Entities with Spectral-Detector-CT.

Schekeb Aludin1, Agreen Horr1, Lars-Patrick Schmill1

  • 1Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, 24105 Kiel, Germany.

Neurology International
|February 26, 2026
PubMed
Summary

Spectral-detector CT (SDCT) can differentiate thrombi by red blood cell (RBC) and fibrin content using electron density or mass-attenuation curves. This advances stroke diagnosis beyond conventional CT density measurements.

Keywords:
acute ischemic strokedual-layer-CTphantom studyspectral-CTspectral-detector-CTthrombus

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Conventional CT has limitations in determining thrombus composition, crucial for endovascular therapy success in stroke.
  • Spectral-detector CT (SDCT) offers material decomposition and virtual monoenergetic imaging for enhanced thrombus characterization.

Purpose of the Study:

  • To evaluate the differentiability of heterogeneous thrombi with varying red blood cell (RBC) content using SDCT.
  • To assess the utility of conventional Hounsfield units (HU), spectral electron density (ED), and virtual monoenergetic imaging (MonoE) for thrombus differentiation.

Main Methods:

  • Manufactured ten thrombus entities with diverse RBC and plasma compositions.
  • Scanned thrombi using SDCT and analyzed conventional HU, ED, effective atomic number (Z-effective), and MonoE HU maps (40-200 keV).

Main Results:

  • Both conventional HU and ED increased with RBC content, enabling thrombus differentiation (p < 0.001).
  • Thrombi were distinguishable at all monoenergetic levels by HU (p < 0.001).
  • Relative decrease in HU between 40-200 keV was more pronounced in lower RBC content thrombi (p < 0.001).

Conclusions:

  • SDCT enables differentiation of thrombi based on RBC and fibrin content via ED or mass-attenuation curve analysis.
  • Spectral CT parameters offer advanced thrombus characterization beyond conventional CT density.
  • Incorporating spectral parameters into thrombus diagnostics can potentially improve stroke diagnosis and treatment outcomes.