Evaluation of the best single‑energy scanning in energy spectrum CT in lower extremity arteriography

Wang,Guokun; Zhao,Deli; Ling,Zaisheng; Wang,Haibo; Yu,Shanshan; Zhang,Jinling

doi:10.3892/etm.2019.7666

Evaluation of the best single‑energy scanning in energy spectrum CT in lower extremity arteriography

Authors:
- Guokun Wang
- Deli Zhao
- Zaisheng Ling
- Haibo Wang
- Shanshan Yu
- Jinling Zhang
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Affiliations: Department of Computed Tomography, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150086, P.R. China
Published online on: June 11, 2019 https://doi.org/10.3892/etm.2019.7666
Pages: 1433-1439

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Abstract

The present study aimed to apply the best single‑energy (SE) scanning in energy spectrum computed tomography (CT) to evaluate the usefulness of lower extremity arterial angiography imaging in patients with lower extremity arterial occlusive disease. A total of 64 patients diagnosed with lower extremity arterial occlusive disease were randomly selected and divided into either the experimental group (n=32) or the control group (n=32). The two treatment groups were scanned for lower extremity arteriography using the best SE scanning mode of energy spectrum CT Gemstone imaging (GSI) and mixed energy scanning mode of multi‑slice helical CT (MSCT). The CT images, image noise, contrast‑to‑noise ratio (CNR) and quality scores of the images of lower extremity arteries between the two groups were compared. Image quality of the two experimental groups were independently evaluated by two imaging diagnostic physicians. The CT scores and CNR of the lower extremity arteries were significantly higher in the experimental group compared with the control group (P<0.01). No statistically significant differences in the background noise between the two groups were observed (P<0.05). The image quality scores of two groups, with the differences between the two diagnosticians, were found to be statistically significant (P<0.01). In the lower extremity arterial angiography, the image quality of the best SE in the CT GSI scanning mode was observed to be superior to that taken using MSCT mixed energy scanning mode.

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1	Heijenbrok-Kal MH, Kock MC and Hunink MG: Lower extremity arterial disease: Multidetector CT angiography meta-analysis. Radiology. 245:433–439. 2007. View Article : Google Scholar : PubMed/NCBI
2	Lin XZ, Miao F, Li JY, Dong HP, Shen Y and Chen KM: High-definition CT Gemstone spectral imaging of the brain: Initial results of selecting optimal monochromatic image for beam-hardening artifacts and image noise reduction. J Comput Assist Tomogr. 35:294–297. 2011. View Article : Google Scholar : PubMed/NCBI
3	Kang MJ, Park CM, Lee CH, Goo JM and Lee HJ: Focal iodine defects on color-coded iodine perfusion maps of dual-energy pulmonary CT angiography images: A potential diagnostic pitfall. AJR Am J Roentgenol. 195:W325–W330. 2010. View Article : Google Scholar : PubMed/NCBI
4	Pache G, Krauss B, Strohm P, Saueressig U, Blanke P, Bulla S, Schäfer O, Helwig P, Kotter E, Langer M and Baumann T: Dual-energy CT virtual noncalcium technique: Detecting posttraumatic bone marrow lesions-feasibility study. Radiology. 256:617–624. 2010. View Article : Google Scholar : PubMed/NCBI
5	Lim S, Shin H, Lee Y, Yoon JW, Kang SM, Choi SH, Park KS, Jang HC, Choi SI and Chun EJ: Effect of metabolic syndrome on coronary artery stenosis and plaque characteristics as assessed with 64-detector row cardiac CT. Radiology. 261:437–445. 2011. View Article : Google Scholar : PubMed/NCBI
6	Mueller T, Hinterreiter F, Poelz W, Haltmayer M and Dieplinger B: Mortality rates at 10 years are higher in diabetic than in non-diabetic patients with chronic lower extremity peripheral arterial disease. Vasc Med. 21:445–452. 2016. View Article : Google Scholar : PubMed/NCBI
7	Pollak AW, Norton PT and Kramer CM: Multimodality imaging of lower extremity peripheral arterial disease: Current role and future directions. Circ Cardiovasc Imaging. 5:797–807. 2012. View Article : Google Scholar : PubMed/NCBI
8	Kock MC, Dijkshoorn ML, Pattynama PM and Myriam Hunink MG: Multi-detector row computed tomography angiography of peripheral arterial disease. Eur Radiol. 17:3208–3222. 2007. View Article : Google Scholar : PubMed/NCBI
9	Bowden RG: Contrast nephropathy: Risk factors and the role of beta blockers. Anatol J Cardiol. 15:2412015. View Article : Google Scholar : PubMed/NCBI
10	Danad I, Fayad ZA, Willemink MJ and Min JK: Recent advances in cardiac computed tomography: Dual energy, spectral and molecular CT imaging. JACC Cardiovasc Imaging. 8:710–723. 2015. View Article : Google Scholar : PubMed/NCBI
11	Obaid DR, Calvert PA, Gopalan D, Parker RA, West NJE, Goddard M, Rudd JHF and Bennett MR: Dual-energy computed tomography imaging to determine atherosclerotic plaque composition: A prospective study with tissue validation. J Cardiovasc Comput Tomogr. 8:230–237. 2014. View Article : Google Scholar : PubMed/NCBI
12	Danad I, Hartaigh BÓ and Min JK: Dual-energy computed tomography for detection of coronary artery disease. Expert Rev Cardiovasc Ther. 13:1345–1356. 2015. View Article : Google Scholar : PubMed/NCBI
13	Arnoldi E, Lee YS, Ruzsics B, Weininger M, Spears JR, Rowley CP, Chiaramida SA, Costello P, Reiser MF and Schoepf UJ: CT detection of myocardial blood volume deficits: Dual-energy CT compared with single-energy CT spectra. J Cardiovasc Comput Tomogr. 5:421–429. 2011. View Article : Google Scholar : PubMed/NCBI
14	Takahashi N, Vrtiska TJ, Kawashima A, Hartman RP, Primak AN, Fletcher JG and McCollough CH: Detectability of urinary stones on virtual nonenhanced images generated at pyelographic-phase dual-energy CT. Radiology. 256:84–190. 2010. View Article : Google Scholar
15	Yao Y, Ng JM, Megibow AJ and Pelc NJ: Image quality comparison between single energy and dual energy CT protocols for hepatic imaging. Med Phys. 43:48772016. View Article : Google Scholar : PubMed/NCBI
16	He J, Ma X, Wang Q, Fan J and Sun Z: Spectral CT demonstration of the superior mesenteric artery: Comparison of monochromatic and polychromatic imaging. Acad Radiol. 21:364–368. 2014. View Article : Google Scholar : PubMed/NCBI
17	Lee JS and Chen JC: A single scatter model for X-ray CT energy spectrum estimation and polychromatic reconstruction. IEEE Trans Med Imaging. 34:403–1413. 2015. View Article : Google Scholar
18	Li YH, Peng XG, Jin H, Zhao GF, Ding RR, Wei HL, Lu ZX and Deng G: The improvement of imaging quality of lower extremity angiography with optimal single energy image of spectral CT. J Intervent Radiol. 25:997–1001. 2016.