Rationale and Objectives
The aim of this article was to study the influence of different adaptive statistical iterative reconstruction (ASIR) percentages on the image quality of dual-energy computed tomography (DECT) portal venography in portal hypertension patients.
Materials and Methods
DECT scans of 40 patients with cirrhosis (mean age, 56 years) at the portal venous phase were retrospectively analyzed. Monochromatic images at 60 and 70 keV were reconstructed with four ASIR percentages: 0%, 30%, 50%, and 70%. Computed tomography (CT) numbers of the portal veins (PVs), liver parenchyma, and subcutaneous fat tissue in the abdomen were measured. The standard deviation from the region of interest of the liver parenchyma was interpreted as the objective image noise (IN). The contrast-noise ratio (CNR) between PV and liver parenchyma was calculated. The diagnostic acceptability (DA) and sharpness of PV margins were obtained using a 5-point score. The IN, CNR, DA, and sharpness of PV were compared among the eight groups with different keV + ASIR level combinations.
Results
The IN, CNR, DA, and sharpness of PV of different keV + ASIR groups were all statistically different ( P < 0.05). In the eight groups, the best and worst CNR were obtained in the 60 keV + 70% ASIR and 70 keV + 0% ASIR (filtered back-projection [FBP]) combination, respectively, whereas the largest and smallest objective IN were obtained in the 60 keV + 0% ASIR (FBP) and 70 keV + 70% combination. The highest DA and sharpness values of PV were obtained at 50% ASIR for 60 keV.
Conclusions
An optimal ASIR percentage (50%) combined with an appropriate monochromatic energy level (60 keV) provides the highest DA in portal venography imaging, whereas for the higher monochromatic energy (70 keV) images, 30% ASIR provides the highest image quality, with less IN than 60 keV with 50% ASIR.
Introduction
Computed tomography portal venography (CTPV) is used for the evaluation of portal-systemic collateral circulations of patients with liver cirrhosis . It provides therapeutic relevant information, such as portal vein lesions, the status of the portal-systemic collateral circulation, including the diameter, location, and extent of esophageal and gastric varicosis, spleno-renal and para-umbilical veins, as well as the underlying hepatic disease . In addition, CTPV is frequently used for the presurgical vascular evaluation of patients with upcoming liver transplantation .
However, the image quality of CTPV is commonly influenced by several factors. First, beam-hardening artifacts are frequently an obstacle to the image quality of CT angiography . Second, patients who undergo CTPV often suffer from severe hepatic disease accompanied with portal vein thrombosis, which might influence the image quality of CTPV . Furthermore, because renal dysfunction is commonly present in patients with severe hepatic disease, a reduction of contrast agent dosage is frequently required, which may result in decreased imaging conditions . In addition, the portal venous imaging quality may be affected by the cardiac function and the body mass index (BMI) of the patient, making the timing of the optimal contrast enhancement difficult .
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Material and Methods
Patient Population
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Imaging Technique
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Data Post-processing
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Objective Image Quality Assessment (Quantitative Assessment)
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Subjective Image Quality Assessment (Qualitative Assessment)
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Table 1
Grading Scale for Qualitative Image Analysis of Sharpness, Image Noise, and Diagnostic Acceptability of the Portal Vein
Grading Scale Sharpness Diagnostic Acceptability 1 Blurry Unacceptable 2 Poor Suboptimal 3 Average Average 4 Better Above average 5 Sharpest Excellent
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Statistical Analysis
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Results
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Objective Scores (Quantitative Assessment)
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Table 2
Comparison of objective and subjective assessment of image quality of CT portal venography in different groups
Item_F_ Value_P_ Value CNR 36.000 <0.001 IN 91.274 <0.001 DA 50.552 <0.001 Sharpness 8.510 <0.001
CNR, contrast-to-noise ratio of portal vein to liver parenchyma; CT, computed tomography; DA, diagnostic acceptability; IN, image noise.
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Subjective Scores (Qualitative Assessment)
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The Interobserver Agreement Results of Subjective Assessment
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Discussion
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Conclusion
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Acknowledgements
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