The purpose of our study was to compare the capability of the 320-detector row CT (area-detector CT: ADCT) using the step-and-shoot scan protocol for small abdominal vasculature assessment with that of the 16-detector row CT using the helical scan protocol. Contrast-enhanced abdominal CT for preoperative assessment was administered to 25 patients, 18 of whom, suspected of having lung cancer, underwent ADCT using the step-and-shoot scan protocol, while the remaining 7, suspected of having renal cell carcinoma, underwent 16-MDCT using the helical scan protocol. Two experienced abdominal radiologists independently assessed renal interlobar and arcuate as well as mesenteric marginal (Griffith point) arteries by means of a 5-point visual scoring systems.
View Article and Find Full Text PDFPurpose: To prospectively compare the capability of quantitative first-pass perfusion 320-detector row computed tomography (CT) (ie, area-detector CT) with that of combined positron emission tomography and CT (PET/CT) for differentiation between malignant and benign pulmonary nodules.
Materials And Methods: This prospective study was approved by the institutional review board, and written informed consent was obtained from 50 consecutive patients with 76 pulmonary nodules. All patients underwent dynamic area-detector CT, PET/CT, and microbacterial and/or histopathologic examinations.
Objective: To compare the capability of 320-detector row CT (area-detector CT: ADCT) with step-and-shoot scan protocol for small abdominal vasculature assessment with that of 64-detector row CT with helical scan protocol.
Materials And Methods: Total of 60 patients underwent contrast-enhanced abdominal CT for preoperative assessment. Of all, 30 suspected to have lung cancer underwent ADCT using step-and-shoot scan protocol.
Purpose: The purpose of this study was to assess the influence of reconstruction algorithm on identification and image quality of ground-glass opacities (GGOs) and partly solid nodules on low-dose thin-section CT.
Materials And Methods: A chest CT phantom including simulated GGOs and partly solid nodules was scanned with five different tube currents and reconstructed by using standard (A) and newly developed (B) high-resolution reconstruction algorithms, followed by visually assessment of identification and image quality of GGOs and partly solid nodules by two chest radiologists. Inter-observer agreement, ROC analysis and ANOVA were performed to compare identification and image quality of each data set with those of the standard reference.