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Gore RM, Pickhardt PJ, Mortele KJ, Fishman EK, Horowitz JM, Fimmel CJ, Talamonti MS, Berland LL, Pandharipande PV. Management of Incidental Liver Lesions on CT: A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol 2017; 14:1429-1437. [DOI: 10.1016/j.jacr.2017.07.018] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 07/19/2017] [Indexed: 02/06/2023]
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52
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Multi-detector CT: Liver protocol and recent developments. Eur J Radiol 2017; 97:101-109. [PMID: 29153359 DOI: 10.1016/j.ejrad.2017.10.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2017] [Revised: 10/18/2017] [Accepted: 10/26/2017] [Indexed: 02/07/2023]
Abstract
Multi-detector computed tomography is today the workhorse in the evaluation of the vast majority of patients with known or suspected liver disease. Reasons for that include widespread availability, robustness and repeatability of the technique, time-efficient image acquisitions of large body volumes, high temporal and spatial resolution as well as multiple post-processing capabilities. However, as the technique employs ionizing radiation and intravenous iodine-based contrast media, the associated potential risks have to be taken into account. In this review article, liver protocols in clinical practice are discussed with emphasis on optimisation strategies. Furthermore, recent developments such as perfusion CT and dual-energy CT and their applications are presented.
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53
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Parakh A, Baliyan V, Sahani DV. Dual-Energy CT in Focal and Diffuse Liver Disease. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0226-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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54
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Borhani AA, Kulzer M, Iranpour N, Ghodadra A, Sparrow M, Furlan A, Tublin ME. Comparison of true unenhanced and virtual unenhanced (VUE) attenuation values in abdominopelvic single-source rapid kilovoltage-switching spectral CT. Abdom Radiol (NY) 2017; 42:710-717. [PMID: 27864600 DOI: 10.1007/s00261-016-0991-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To assess the agreement between the true non-contrast (TNC) attenuation values of intra-abdominal structures and attenuation values obtained on virtual-unenhanced (VUE) images based on rapid kVp-switching dual-energy CT. The effects of contrast phase and patient characteristics (e.g., BMI, hematocrit, hemoglobin content) on VUE values were also investigated. METHODS Ninety four patients who underwent triphasic abdominal CT (liver mass protocol, n = 47; pancreas mass protocol, n = 47) between August 2014 and May 2015 were retrospectively reviewed. Unenhanced series was performed using conventional single-energy mode at 120 kVp. Late arterial and venous phase post-contrast series were obtained utilizing rapid kVp-switching dual-energy CT technique. VUE images were processed off of arterial (VUE-art) and venous (VUE-ven) phase series. Attenuation values of liver, pancreas, kidneys, adrenal glands, muscle, subcutaneous fat, aorta, IVC, and main portal vein were recorded on TNC and VUE sets of images. Attenuation values were compared using univariate linear regression and Student two-tailed paired t test. RESULTS There was excellent correlation between TNC, VUE-art, and VUE-ven attenuation values across all organs (p < 0.0001). Paired Student t test, however, showed significant difference between TNC and VUE-art attenuation of kidneys, right adrenal gland, paraspinal muscle, and aorta. There was also significant difference between TNC and VUE-ven attenuation of left kidney. Percentage of cases which had >10 HU difference between VUE and TNC for an individual was calculated which ranged between 13% (right kidney) and 42% (right adrenal gland). CONCLUSION Although the correlation between VUE and TNC attenuation values was excellent and mean difference between TNC and VUE attenuation values was negligible (ranging between -5.94 HU for paraspinal muscles to 6.2 HU in aorta), intra-patient analysis showed a considerable number of cases which had >10 HU difference between VUE and TNC. VUE-ven generally offered a better approximation of TNC values. Further optimization of post-processing algorithms might be necessary before complete replacement of TNC with VUE images.
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Affiliation(s)
- Amir A Borhani
- Division of Abdominal Imaging, University of Pittsburgh School of Medicine, UPMC Presbyterian, Radiology Suite 200 East Wing, 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
| | - Matthew Kulzer
- Department of Radiology, University of Pittsburgh Medical Center, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Negaur Iranpour
- Department of Radiology, University of Pittsburgh Medical Center, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Anish Ghodadra
- Department of Radiology, University of Pittsburgh Medical Center, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Mark Sparrow
- Department of Radiology, University of Pittsburgh Medical Center, UPMC Presbyterian, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Alessandro Furlan
- Division of Abdominal Imaging, University of Pittsburgh School of Medicine, UPMC Presbyterian, Radiology Suite 200 East Wing, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Mitchell E Tublin
- Division of Abdominal Imaging, University of Pittsburgh School of Medicine, UPMC Presbyterian, Radiology Suite 200 East Wing, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
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Tamm EP, Le O, Liu X, Layman RR, Cody DD, Bhosale PR. "How to" incorporate dual-energy imaging into a high volume abdominal imaging practice. Abdom Radiol (NY) 2017; 42:688-701. [PMID: 28070657 PMCID: PMC5436906 DOI: 10.1007/s00261-016-1035-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Dual-energy CT imaging has many potential uses in abdominal imaging. It also has unique requirements for protocol creation depending on the dual-energy scanning technique that is being utilized. It also generates several new types of images which can increase the complexity of image creation and image interpretation. The purpose of this article is to review, for rapid switching and dual-source dual-energy platforms, methods for creating dual-energy protocols, different approaches for efficiently creating dual-energy images, and an approach to navigating and using dual-energy images at the reading station all using the example of a pancreatic multiphasic protocol. It will also review the three most commonly used types of dual-energy images: "workhorse" 120kVp surrogate images (including blended polychromatic and 70 keV monochromatic), high contrast images (e.g., low energy monochromatic and iodine material decomposition images), and virtual unenhanced images. Recent developments, such as the ability to create automatically on the scanner the most common dual-energy images types, namely new "Mono+" images for the DSDECT (dual-source dual-energy CT) platform will also be addressed. Finally, an approach to image interpretation using automated "hanging protocols" will also be covered. Successful dual-energy implementation in a high volume practice requires careful attention to each of these steps of scanning, image creation, and image interpretation.
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Affiliation(s)
- Eric P Tamm
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1473, PO Box 301402, Houston, TX, 77230, USA.
| | - Ott Le
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1473, PO Box 301402, Houston, TX, 77230, USA
| | - Xinming Liu
- Department of Imaging Physics, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1472, PO Box 301402, Houston, TX, 77230-1402, USA
| | - Rick R Layman
- Department of Imaging Physics, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1472, PO Box 301402, Houston, TX, 77230-1402, USA
| | - Dianna D Cody
- Department of Imaging Physics, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1472, PO Box 301402, Houston, TX, 77230-1402, USA
| | - Priya R Bhosale
- Department of Diagnostic Radiology, Division of Diagnostic Imaging, University of Texas, MD Anderson Cancer Center, Unit 1473, PO Box 301402, Houston, TX, 77230, USA
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