TY - JOUR
T1 - Characterization of Urinary Stone Composition by Use of Whole-body, Photon-counting Detector CT
AU - Ferrero, Andrea
AU - Gutjahr, Ralf
AU - Halaweish, Ahmed F.
AU - Leng, Shuai
AU - McCollough, Cynthia H.
N1 - Funding Information:
Funding Sources: The project described was supported by grant number DK100227 from the National Institute of Diabetes and Digestive and Kidney Diseases and grant numbers EB016966 and RR018898 from the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Publisher Copyright:
© 2018 The Association of University Radiologists
PY - 2018/10
Y1 - 2018/10
N2 - Rational and Objectives: This 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 Methods: Eighty-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. Results: For 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. Conclusion: PCD-CT provides comparable performance to state-of-the-art EID-CT in differentiating urinary stone composition.
AB - Rational and Objectives: This 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 Methods: Eighty-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. Results: For 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. Conclusion: PCD-CT provides comparable performance to state-of-the-art EID-CT in differentiating urinary stone composition.
KW - CT
KW - photon-counting detector CT
KW - spectral separation
KW - urinary stones
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U2 - 10.1016/j.acra.2018.01.007
DO - 10.1016/j.acra.2018.01.007
M3 - Article
C2 - 29454545
AN - SCOPUS:85041898586
VL - 25
SP - 1270
EP - 1276
JO - Academic Radiology
JF - Academic Radiology
SN - 1076-6332
IS - 10
ER -