Virtual noncontrast images reveal gouty tophi in contrast-enhanced dual-energy CT: a phantom study.

Eur Radiol Exp

Department of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Charitéplatz 1, Berlin, 10117, Germany.

Published: June 2024

AI Article Synopsis

  • This study investigates how virtual noncontrast (VNC) images from dual-energy computed tomography (DECT) can improve the detection of monosodium urate crystals (MSU), which are indicative of gouty tophi, especially when high concentrations of iodinated contrast media (ICM) are used.
  • Using various phantoms with different ICM and MSU concentrations, the research compared the effectiveness of VNC images against standard DECT images in identifying MSU.
  • Results showed that VNC significantly enhances MSU detection when ICM levels are high, suggesting that VNC could effectively aid in diagnosing gout without needing traditional noncontrast image acquisitions.

Article Abstract

Background: Dual-energy computed tomography (DECT) is useful for detecting gouty tophi. While iodinated contrast media (ICM) might enhance the detection of monosodium urate crystals (MSU), higher iodine concentrations hamper their detection. Calculating virtual noncontrast (VNC) images might improve the detection of enhancing tophi. The aim of this study was to evaluate MSU detection with VNC images from DECT acquisitions in phantoms, compared against the results with standard DECT reconstructions.

Methods: A grid-like and a biophantom with 25 suspensions containing different concentrations of ICM (0 to 2%) and MSU (0 to 50%) were scanned with sequential single-source DECT using an ascending order of tube current time product at 80 kVp (16.5-220 mAs) and 135 kVp (2.75-19.25 mAs). VNC images were equivalently reconstructed at 80 and 135 kVp. Two-material decomposition analysis for MSU detection was applied for the VNC and conventional CT images. MSU detection and attenuation values were compared in both modalities.

Results: For 0, 0.25, 0.5, 1, and 2% ICM, the average detection indices (DIs) for all MSU concentrations (35-50%) with VNC postprocessing were respectively 25.2, 36.6, 30.9, 38.9, and 45.8% for the grid phantom scans and 11.7, 9.4, 5.5, 24.0, and 25.0% for the porcine phantom scans. In the conventional CT image group, the average DIs were respectively 35.4, 54.3, 45.4, 1.0, and 0.0% for the grid phantom and 19.4, 17.9, 3.0, 0.0, and 0.0% for the porcine phantom scans.

Conclusions: VNC effectively reduces the suppression of information caused by high concentrations of ICM, thereby improving the detection of MSU.

Relevance Statement: Contrast-enhanced DECT alone may suffice for diagnosing gout without a native acquisition.

Key Points: • Highly concentrated contrast media hinders monosodium urate crystal detection in CT imaging • Virtual noncontrast imaging redetects monosodium urate crystals in high-iodinated contrast media concentrations. • Contrast-enhanced DECT alone may suffice for diagnosing gout without a native acquisition.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11166610PMC
http://dx.doi.org/10.1186/s41747-024-00466-wDOI Listing

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