Pregler, B. and Beyer, L. P. and Teufel, A. and Niessen, C. and Stroszczynski, C. and Brodoefel, H. and Wiggermann, P. (2017) Low Tube Voltage Liver MDCT with Sinogram-Affirmed Iterative Reconstructions for the Detection of Hepatocellular Carcinoma. SCIENTIFIC REPORTS, 7: 9460. ISSN 2045-2322,
Full text not available from this repository. (Request a copy)Abstract
Aim of this study was to compare low tube voltage computed tomography (80 kV) of the liver using iterative image reconstruction (SAFIRE) with standard computed tomography (120 kV) using filtered back-projection (FBP) for the detection of hepatocellular carcinoma (HCC). 46 patients (43 men) with 93 HCC confirmed by 3T MRI with Gd-EOB-DPTA, in inconclusive cases combined with contrast-enhanced ultrasound, underwent dual-energy CT. The raw data of the 80 kV tube was reconstructed using the iterative reconstruction algorithm SAFIRE with two strengths (I3 and I5). The virtual 120 kV image data set was reconstructed using FBP. The CT images were reviewed to determine the lesion-to-liver contrast (LLC), the lesion contrast-to-noise ratio (CNR) and the sensitivity. The LLC (57.1/54.3 [I3/I5] vs. 34.9 [FBP]; p <= 0.01), CNR (3.67/4.45 [I3/I5] vs. 2.48 [FBP]; p < 0.01) and sensitivity (91.4%/88.2% [I3/I5] vs. 72.0% [FBP]; p <= 0.01) were significantly higher in the low-voltage protocol using SAFIRE. Therefore, low tube voltage CT using SAFIRE results in an increased lesion-to-liver contrast as well as an improved lesion contrast-to-noise ratio compared to FBP at 120 kV which results in a higher sensitivity for the detection of HCC.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ABDOMINAL COMPUTED-TOMOGRAPHY; FILTERED BACK-PROJECTION; RADIATION-DOSE REDUCTION; IMAGE QUALITY; MULTIDETECTOR CT; PHANTOM; ALGORITHM; SAFIRE; NOISE; ANGIOGRAPHY; |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin I Medicine > Lehrstuhl für Röntgendiagnostik |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 14 Dec 2018 13:15 |
| Last Modified: | 25 Feb 2019 14:15 |
| URI: | https://pred.uni-regensburg.de/id/eprint/1365 |
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