Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching

With lung cancer being the most common malignancy diagnosed worldwide, lung nodule assessment has proved to be one of big challenges of modern medicine. The aim of this study was to examine the usefulness of Dual Energy Computed Tomography (DECT) in solitary pulmonary nodule (SPN) assessment. Betwee...

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Main Authors: Arkadiusz Zegadło, Magdalena Żabicka, Marta Kania-Pudło, Artur Maliborski, Aleksandra Różyk, Witold Sośnicki
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/9/8/2514
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spelling doaj-8f164255b4a64885a2bd82af6de951172020-11-25T03:56:12ZengMDPI AGJournal of Clinical Medicine2077-03832020-08-0192514251410.3390/jcm9082514Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp SwitchingArkadiusz Zegadło0Magdalena Żabicka1Marta Kania-Pudło2Artur Maliborski3Aleksandra Różyk4Witold Sośnicki5Department of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandDepartment of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandDepartment of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandDepartment of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandDepartment of Radiology, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandDepartment of General, Oncological, Metabolic and Thoracic Surgery, Military Institute of Medicine, Szaserów 128, 04-141 Warsaw, PolandWith lung cancer being the most common malignancy diagnosed worldwide, lung nodule assessment has proved to be one of big challenges of modern medicine. The aim of this study was to examine the usefulness of Dual Energy Computed Tomography (DECT) in solitary pulmonary nodule (SPN) assessment. Between January 2017 and June 2018; 65 patients (42 males and 23 females) underwent DECT scans in the late arterial phase (AP) and venous phase (VP). We concluded that imaging at an energy level of 65 keV was the most accurate in detecting malignancy in solitary pulmonary nodules (SPNs) measuring ≤30 mm in diameter on virtual monochromatic maps. Both virtual monochromatic images and iodine concentration maps prove to be highly useful in differentiating benign and malignant pulmonary nodules. As for iodine concentration maps, the analysis of venous phase images resulted in the highest clinical usefulness. To summarize, DECT may be a useful tool in the differentiation of benign and malignant SPNs. A single-phase DECT examination with scans acquired 90 s after contrast media injection is recommended.https://www.mdpi.com/2077-0383/9/8/2514gemstone spectral imagingdual-energy CTvirtual monochromatic imagesiodine mapspectral Hounsfield unit attenuation curvessolitary lung tumor
collection DOAJ
language English
format Article
sources DOAJ
author Arkadiusz Zegadło
Magdalena Żabicka
Marta Kania-Pudło
Artur Maliborski
Aleksandra Różyk
Witold Sośnicki
spellingShingle Arkadiusz Zegadło
Magdalena Żabicka
Marta Kania-Pudło
Artur Maliborski
Aleksandra Różyk
Witold Sośnicki
Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
Journal of Clinical Medicine
gemstone spectral imaging
dual-energy CT
virtual monochromatic images
iodine map
spectral Hounsfield unit attenuation curves
solitary lung tumor
author_facet Arkadiusz Zegadło
Magdalena Żabicka
Marta Kania-Pudło
Artur Maliborski
Aleksandra Różyk
Witold Sośnicki
author_sort Arkadiusz Zegadło
title Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
title_short Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
title_full Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
title_fullStr Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
title_full_unstemmed Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching
title_sort assessment of solitary pulmonary nodules based on virtual monochrome images and iodine-dependent images using a single-source dual-energy ct with fast kvp switching
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2020-08-01
description With lung cancer being the most common malignancy diagnosed worldwide, lung nodule assessment has proved to be one of big challenges of modern medicine. The aim of this study was to examine the usefulness of Dual Energy Computed Tomography (DECT) in solitary pulmonary nodule (SPN) assessment. Between January 2017 and June 2018; 65 patients (42 males and 23 females) underwent DECT scans in the late arterial phase (AP) and venous phase (VP). We concluded that imaging at an energy level of 65 keV was the most accurate in detecting malignancy in solitary pulmonary nodules (SPNs) measuring ≤30 mm in diameter on virtual monochromatic maps. Both virtual monochromatic images and iodine concentration maps prove to be highly useful in differentiating benign and malignant pulmonary nodules. As for iodine concentration maps, the analysis of venous phase images resulted in the highest clinical usefulness. To summarize, DECT may be a useful tool in the differentiation of benign and malignant SPNs. A single-phase DECT examination with scans acquired 90 s after contrast media injection is recommended.
topic gemstone spectral imaging
dual-energy CT
virtual monochromatic images
iodine map
spectral Hounsfield unit attenuation curves
solitary lung tumor
url https://www.mdpi.com/2077-0383/9/8/2514
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