Objective and subjective comparison of virtual monoenergetic vs. polychromatic images in patients with pancreatic ductal adenocarcinoma
Autor: | Paul Apfaltrer, Christian Schestak, Lucian Beer, Martin Schindl, Ahmed Ba-Ssalamah, Helmut Ringl, Alexander Wressnegger, Anja Dutschke, Michael Toepker |
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Rok vydání: | 2018 |
Předmět: |
Adult
Male medicine.medical_specialty Pancreatic ductal adenocarcinoma Pancreatic neoplasms Image quality Intraclass correlation 030218 nuclear medicine & medical imaging Radiography Dual-Energy Scanned Projection Multidetector computed tomography 03 medical and health sciences 0302 clinical medicine Computed Tomography Image Processing Computer-Assisted Medicine Humans Radiology Nuclear Medicine and imaging In patient Subjective quality Pancreas Aged Retrospective Studies Aged 80 and over business.industry Ultrasound Virtual Reality Reproducibility of Results Mean age General Medicine Middle Aged equipment and supplies Signal-to-noise ratio (imaging) 030220 oncology & carcinogenesis Female Signal-to-noise ratio Radiology business Algorithms Carcinoma Pancreatic Ductal |
Zdroj: | European Radiology |
ISSN: | 1432-1084 |
Popis: | Objectives The aim of this study was to assess the objective and subjective image characteristics of monoenergetic images (MEI[+]), using a noise-optimized algorithm at different kiloelectron volts (keV) compared to polyenergetic images (PEI), in patients with pancreatic ductal adenocarcinoma (PDAC). Methods This retrospective, institutional review board-approved study included 45 patients (18 male, 27 female; mean age 66 years; range, 42–96 years) with PDAC who had undergone a dual-energy CT (DECT) of the abdomen for staging. One standard polyenergetic image (PEI) and five MEI(+) images in 10-keV intervals, ranging from 40 to 80 keV, were reconstructed. Line-density profile analysis, as well as the contrast-to-noise ratio (CNR) of the tumor, the signal-to-noise ratio (SNR) of the regular pancreas parenchyma and the tumor, and the CNR of the three main peripancreatic vessels, was calculated. For subjective quality assessment, two readers independently assessed the images using a 5-point Likert scale. Reader reliability was evaluated using an intraclass correlation coefficient. Results Line-density profile analysis revealed the largest gradient in attenuation between PDAC and regular tissue in MEI(+) at 40 keV. Low-keV MEI(+)reconstructions at 40 and 50 keV increased CNR and SNR compared to PEI (40 keV: CNR 46.8 vs. 7.5; SNRPankreas 32.5 vs. 15.7; SNRLesion 13.5 vs. 8.6; p |
Databáze: | OpenAIRE |
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