Virtual Monoenergetic Imaging of Lower Extremities Using Dual-Energy CT Angiography in Patients with Diabetes Mellitus

被引:8
|
作者
Bucolo, Giuseppe Mauro [1 ,2 ]
D'Angelo, Tommaso [2 ,3 ]
Yel, Ibrahim [1 ,4 ]
Koch, Vitali [1 ,4 ]
Gruenewald, Leon D. [1 ,4 ]
Othman, Ahmed E. [5 ]
Alizadeh, Leona Soraja [1 ,4 ,6 ]
Overhoff, Daniel P. [6 ,7 ]
Waldeck, Stephan [6 ,8 ]
Martin, Simon S. [1 ,4 ]
Mazziotti, Silvio [2 ]
Ascenti, Giorgio [2 ]
Blandino, Alfredo [2 ]
Vogl, Thomas J. [1 ,4 ]
Booz, Christian [1 ,4 ]
机构
[1] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Div Expt Imaging, D-60596 Frankfurt, Germany
[2] Univ Messina, Dept Biomed Sci & Morphol & Funct Imaging, I-98122 Messina, Italy
[3] Erasmus MC, Dept Radiol & Nucl Med, NL-3015 GD Rotterdam, Netherlands
[4] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, D-60596 Frankfurt, Germany
[5] Univ Hosp Mainz, Dept Neuroradiol, D-55131 Mainz, Germany
[6] Bundeswehr Cent Hosp Koblenz, Dept Diagnost & Intervent Radiol & Neuroradiol, D-56072 Koblenz, Germany
[7] Heidelberg Univ, Univ Med Ctr Mannheim, Med Fac Mannheim, Dept Radiol & Nucl Med, D-68167 Mannheim, Germany
[8] Johannes Gutenberg Univ Mainz, Univ Med Ctr, Inst Neuroradiol, D-55099 Mainz, Germany
关键词
virtual monoenergetic imaging; dual energy; CT angiography; lower extremities; CHRONIC KIDNEY-DISEASE; PERIPHERAL ARTERIAL-DISEASE; REDUCED IODINE LOAD; DIAGNOSTIC PERFORMANCE; CONTRAST; QUALITY; RISK; OPTIMIZATION; PREVALENCE; PREVENTION;
D O I
10.3390/diagnostics13101790
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Type 2 diabetes mellitus (DM) is the most common metabolic disorder in the world and an important risk factor for peripheral arterial disease (PAD). CT angiography represents the method of choice for the diagnosis, pre-operative planning, and follow-up of vascular disease. Low-energy dual-energy CT (DECT) virtual mono-energetic imaging (VMI) has been shown to improve image contrast, iodine signal, and may also lead to a reduction in contrast medium dose. In recent years, VMI has been improved with the use of a new algorithm called VMI+, able to obtain the best image contrast with the least possible image noise in low-keV reconstructions. Purpose: To evaluate the impact of VMI+ DECT reconstructions on quantitative and qualitative image quality in the evaluation of the lower extremity runoff. Materials and Methods: We evaluated DECT angiography of lower extremities in patients suffering from diabetes who had undergone clinically indicated DECT examinations between January 2018 and January 2023. Images were reconstructed with standard linear blending (F_0.5) and low VMI+ series were generated from 40 to 100 keV, in an interval of 15 keV. Vascular attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for objective analysis. Subjective analysis was performed using five-point scales to evaluate image quality, image noise, and diagnostic assessability of vessel contrast. Results: Our final study cohort consisted of 77 patients (41 males). Attenuation values, CNR, and SNR were higher in 40-keV VMI+ reconstructions compared to the remaining VMI+ and standard F_0.5 series (HU: 1180.41 +/- 45.09; SNR: 29.91 +/- 0.99; CNR: 28.60 +/- 1.03 vs. HU 251.32 +/- 7.13; SNR: 13.22 +/- 0.44; CNR: 10.57 +/- 0.39 in standard F_0.5 series) (p < 0.0001). Subjective image rating was significantly higher in 55-keV VMI+ images compared to the other VMI+ and standard F_0.5 series in terms of image quality (mean score: 4.77), image noise (mean score: 4.39), and assessability of vessel contrast (mean value: 4.57) (p < 0.001). Conclusions: DECT 40-keV and 55-keV VMI+ showed the highest objective and subjective parameters of image quality, respectively. These specific energy levels for VMI+ reconstructions could be recommended in clinical practice, providing high-quality images with greater diagnostic suitability for the evaluation of lower extremity runoff, and potentially needing a lower amount of contrast medium, which is particularly advantageous for diabetic patients.
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页数:13
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