Publication date: Available online 14 February 2018
Source:Academic Radiology
Author(s): Andrea Ferrero, Ralf Gutjahr, Ahmed F. Halaweish, Shuai Leng, Cynthia H. McCollough
Rational and ObjectivesThis study aims to investigate the performance of a whole-body, photon-counting detector (PCD) computed tomography (CT) system in differentiating urinary stone composition.Materials and MethodsEighty-seven human urinary stones with pure mineral composition were placed in four anthropomorphic water phantoms (35–50 cm lateral dimension) and scanned on a PCD-CT system at 100, 120, and 140 kV. For each phantom size, tube current was selected to match CTDIvol (volume CT dose index) to our clinical practice. Energy thresholds at [25, 65], [25, 70], and [25, 75] keV for 100, 120, and 140 kV, respectively, were used to generate dual-energy images. Each stone was automatically segmented using in-house software; CT number ratios were calculated and used to differentiate stone types in a receiver operating characteristic (ROC) analysis. A comparison with second- and third-generation dual-source, dual-energy CT scanners with conventional energy integrating detectors (EIDs) was performed under matching conditions.ResultsFor all investigated settings and smaller phantoms, perfect separation between uric acid and non–uric acid stones was achieved (area under the ROC curve [AUC] = 1). For smaller phantoms, performance in differentiation of calcium oxalate and apatite stones was also similar between the three scanners: for the 35-cm phantom size, AUC values of 0.76, 0.79, and 0.80 were recorded for the second- and third-generation EID-CT and for the PCD-CT, respectively. For larger phantoms, PCD-CT and the third-generation EID-CT outperformed the second-generation EID-CT for both differentiation tasks: for a 50-cm phantom size and a uric acid/non–uric acid differentiating task, AUC values of 0.63, 0.95, and 0.99 were recorded for the second- and third-generation EID-CT and for the PCD-CT, respectively.ConclusionPCD-CT provides comparable performance to state-of-the-art EID-CT in differentiating urinary stone composition.
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Πέμπτη 15 Φεβρουαρίου 2018
Characterization of Urinary Stone Composition by Use of Whole-body, Photon-counting Detector CT
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