Abstract
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.
Graphical Abstract
Funder
Canon Medical Systems Corporation
Charité - Universitätsmedizin Berlin
Publisher
Springer Science and Business Media LLC