Dual-energy CT of the pancreas: improved carcinoma-to-pancreas contrast with a noise-optimized monoenergetic reconstruction algorithm. Issue 11 (November 2015)

• Record Type: Journal Article
• Authors: Frellesen, Claudia; Fessler, Freia; Hardie, Andrew D.; Wichmann, Julian L.; Cecco, Carlo N. De; Schoepf, U. Joseph; Kerl, J. Matthias; Schulz, Boris; Hammerstingl, Renate; Vogl, Thomas J.; Bauer, Ralf W.
• Is Part Of: European journal of radiology. Volume 84:Issue 11(2015)
• Page Start: 2052
• Page End: 2058
• Publication Date: 2015-11
• Subjects: Dual-energy CT -- Monoenergetic reconstruction -- Pancreatic adenocarcinoma -- Tumor contrast -- Lesion conspicuity; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2015.07.020
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Image noise was significantly reduced at low keV-levels with the novel compared to the traditional monoenergetic reconstruction algorithm. Pancreas SNR peaked in the 40/55 keV series reconstructed with the novel algorithm. Carcinoma-to-pancreas contrast was superior at 40/55 keV reconstructed with the novel algorithm. Subjective image quality ratings were highest for the 55 keV series reconstructed with the novel algorithm. The novel algorithm for monoenergetic Dual-energy CT may improve diagnosis of pancreas carcinoma. Abstract: Purpose: To evaluate a novel monoenergetic reconstruction algorithm (nMERA) with improved noise reduction for dual-energy CT (DECT) of pancreatic adenocarcinoma. Materials and methods: Sixty patients with suspected pancreatic carcinoma underwent dual-source dual-energy CT with arterial phase. Images were reconstructed as linearly-blended 120-kV series (M_0.6) and with the standard monoenergetic (sMERA) and the novel monoenergetic algorithm (nMERA) with photon energies of 40, 55, 70 and 80 keV. Objective image quality was compared regarding image noise, pancreas attenuation, signal-to-noise ratio (SNR) and pancreas-to-lesion contrast. Subjective image quality was assessed by two observers. Results: Thirty pancreatic adenocarcinomas were detected. nMERA showed significantly reduced image noise at low keV levels compared with sMERA images (55 keV: 7.19 ± 2.75 vs. 20.68 ± 7.01HU; 40 keV: 7.33 ± 3.20 vs. 37.22 ± 14.66HU) and M_0.6 (10.69 ± 3.57HU). nMERA pancreatic SNR was significantly superior to standard monoenergetic at 40 (47.02 ± 23.41 vs. 9.37 ± 5.83) and 55 keV (28.29 ± 16.86 vs. 9.88 ± 7.01), and M_0.6 series (11.42 ± 6.00). Pancreas-to-lesion contrast peaked in the nMERA 40 keV series (26.39 ± 16.83) and was significantly higher than in all other series ( p < 0.001). nMERA 55 keV images series were consistently preferred by both observers over all other series ( p < 0.01). Conclusions: nMERA DECT can significantly improve image quality and pancreas-to-lesion contrast in the diagnosis of pancreatic adenocarcinoma.