Rationale and Objectives
To compare the accuracy of iodine quantification in liver parenchyma and lesions between
dual-source photon-counting detector CT (PCD-CT) and dual-source energy-integrating
detector CT (EID-CT) in a phantom and to demonstrate the feasibility of iodine quantification
with PCD-CT in liver parenchyma and lesions in patients.
Materials and Methods
An anthropomorphic abdominal phantom with a liver insert containing parenchyma and
lesions was imaged on a clinical PCD-CT at 120kV and in the dual-energy mode on an
EID-CT with kV-combinations of 80/Sn150kV, 90/Sn150kV, and 100/Sn150kV. Three patient
sizes were imaged at three different radiation doses (CTDIvol: 5, 10, 15mGy). Thirty patients with liver cysts, hemangiomas or metastases imaged
with PCD-CT were retrospectively included. Iodine maps were reconstructed and iodine
concentrations were measured in liver parenchyma and lesions. For the phantom, iodine
error was quantified as the absolute difference to the vendor's specifications as
reference.
Results
Overall iodine error was 0.33 ± 0.29, 0.34 ± 0.32, 0.39 ± 0.37, 0.35 ± 0.39 mgI/mL
for 80/Sn150kV, 90/Sn150kV, 100/Sn150kV of EID-CT, and PCD-CT, respectively, without
significant differences between PCD-CT and EID-CT (p > 0.05). Radiation dose did not significantly influence error of PCD-CT (p > 0.05) nor EID-CT (p > 0.05). For both scanners, smaller patient sizes were associated with lower errors
(p < 0.05). Iodine concentration and base material attenuation significantly influenced
quantification for EID-CT (p < 0.05) but not PCD-CT (p > 0.05). In patients, iodine quantification was feasible in liver parenchyma, cysts,
hemangiomas, and metastases.
Conclusion
Iodine quantification with PCD-CT is accurate in simulated liver parenchyma and lesions
irrespective of radiation dose, iodine concentration, and base attenuation and is
feasible in common liver lesions in patients.
Key Words
Abbreviations:
EID-CT (energy-integrating detector CT), DECT (dual-energy computed tomography), PCD-CT (photon-counting detector CT)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: May 26, 2022
Accepted:
April 21,
2022
Received in revised form:
April 12,
2022
Received:
March 8,
2022
Identification
Copyright
© 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
