Reducing Radiation Dose and Improving Image Quality in CT Portal Venography Using 80 kV and Adaptive Statistical Iterative Reconstruction-V in Slender Patients

Ren, Zhanli; Zhang, Xirong; Hu, Zhijun; Li, Dou; Liu, Zhentang; Wei, Donghong; Jia, Yongjun; Ye, Nan; Yan, Yu; Lei, Yuxin; Chen, Xiaoxia; Guo, Changyi; Ren, Zhanliang; He, Tao

doi:10.1016/j.acra.2019.02.022

Cited by 9 publications

(9 citation statements)

References 35 publications

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“…17 When reducing the tube voltage, the IN can be increased, and the SNR or CNR can be decreased. 18 However, our study showed that IN, SNR, and CNR were not significantly different between groups A and B. This is a result of using the ASiR (GE Healthcare, Waukesha, WI) algorithm.…”

Section: Discussionmentioning

confidence: 52%

Application of low‐dose CT to the creation of 3D‐printed kidney and perinephric tissue models for laparoscopic nephrectomy

Dong

Cao

et al. 2021

Cancer Medicine

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Section: Discussionmentioning

confidence: 52%

Application of low‐dose CT to the creation of 3D‐printed kidney and perinephric tissue models for laparoscopic nephrectomy

Dong

Cao

et al. 2021

Cancer Medicine

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“…Seung et al [25] showed that the use of 80 kV could reduce the radiation dose by 45.2% with comparable or improved image quality in patients with abdominal tumors. Ren et al [22] showed that in contrast-enhanced CT imaging of the abdomen, the 80 kV scanning scheme reduced the radiation dose by 63.3% and improved the quality of portal vein images in lean patients compared to the conventional 120 kV scanning scheme. Li et al…”

Section: Discussionmentioning

confidence: 99%

Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube-voltage and tube-current

Zhu,

Zhang,

Tian

et al. 2024

Preprint

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Background: Low tube-voltage technique (e.g., 80 kV) could efficiently reduce the radiation dose and increase the contrast enhancement of vascular and parenchymal structures in abdominal CT. However, a high tube current is always required in this setting and limits the dose reduction potential. By using a deep learning iterative reconstruction algorithm (Deep IR), this paper aims to investigate the feasibility of a Deep IR in reducing radiation dose while improving the image quality for abdominal computed tomography (CT) with low tube-voltage and tube-current. Methods: Sixty patients (Male/female, 36/24; Age, 57.72±10.19 years) undergoing the abdominal portal venous phase CT were randomly divided into groups A (100 kV, automatic exposure control [AEC] with reference tube-current of 213 mAs) and B (80 kV, AEC with reference of 130 mAs). Images were reconstructed by hybrid iterative reconstruction (HIR) and Deep IR (levels 1-5). The mean CT and standard deviation (SD) values of four regions of interest (ROI), i.e. liver, spleen, main portal vein and erector spinae at the porta hepatis level in each image serial were measured, and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. The image quality was subjectively scored by two radiologists using a 5-point criterion. Results: A significant reduction of radiation dose by 69.94% (5.09±0.9 mSv vs. 1.53±0.37 mSv) were detected in group B when compared to group A. With regard to Deep IR algorithm at various levels, there was no significant change in CT value, but SD gradually increased. Group B had higher CT values than group A, and the portal vein CT values significantly differed between groups (P<0.003). The SNR and CNR in group B with Deep IR at levels 1-5 were higher than those in group A and significantly differed when HIR and Deep IR were applied at levels 1-3 of HIR and Deep IR (P<0.003). The subjective scores (distortion, clarity of the portal vein, visibility of small structures and overall image quality) with Deep IR at levels 4-5 in group B were significantly higher than those in group A with HIR (P<0.003). Conclusion: Deep IR algorithm can reduce radiation dose and improve the image quality of parenchymal organs and portal vein clarity in portal venous phase abdominal CT with low tube-voltage and tube-current.

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“…The quality of the portal vein image depends on the enhancement degree of the portal vein and the contrast between the portal vein and its surrounding liver parenchyma. It is common to improve the contrast ratio of the portal vein by increasing the amount and iodine concentration of the contrast agent when doctors need to observe the portal vein and its relationship with adjacent lesions in clinical work [ 17 ], similar to the scan protocol of Group B in this study. The comparison of Group A without CE-boost and Group B illustrated this, and most branches of the portal vein in Group B appeared brighter than those in Group A without CE-boost.…”

Section: Discussionmentioning

confidence: 99%

“…Increasing the contrast agent concentration and total dose is not the preferred method to improve the image quality of the portal vein. Many efforts have been made to reduce the amount of contrast media as much as possible while maintaining portal vein image quality [ 17 , 20 ]. Han et al [ 21 ] used lower monoenergetic images combined with adaptive statistical iterative reconstruction (ASiR) in dual-energy spectral CT to reduce the iodine amount in CT portal venography (CTPV).…”

Section: Discussionmentioning

confidence: 99%

Clinical application of the contrast-enhancement boost technique in computed tomography angiography of the portal vein

Hou

Zhang

Jin³

et al. 2022

Abdom Radiol

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Purpose The aim of this study was to explore the improved image quality of the portal vein using the contrast-enhancement boost (CE-boost) technique for the improved visibility of abdominal-enhanced computed tomography (CT) scans in clinical practice. Methods This retrospective study included 50 patients in Group A who underwent routine abdominal-enhanced CT and 50 patients in Group B who underwent abdominal computed tomography angiography (CTA) with matched body mass index, age, and sex. Images in Group A were postprocessed with the CE-boost technique for further enhanced visibility of the portal vein. Both subjective and objective assessments of different branches of the portal vein in three types of images (i.e., Group A with CE-boost and without CE-boost, Group B) were statistically analyzed. Results The subjective scores of two experienced radiologists showed good consistency (kappa value > 0.624, p < 0.001), and the score of Group A with CE-boost (mean, 4.64) was significantly higher than that of the others (p < 0.001). The liver parenchyma and most target veins in Group A with CE-boost showed the highest CT, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) values and the lowest standard deviation (SD), while the CNR of most portal veins in Group A without CE-boost had the lowest CNR (p < 0.001). There were no differences in the SNR of the portal vein in Group A without CE-Boost and Group B (p > 0.05). Conclusion CE-boost can significantly improve image quality in portal vein imaging without any additional scanning settings or changes in the clinical workflow. Graphical Abstract

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Reducing Radiation Dose and Improving Image Quality in CT Portal Venography Using 80 kV and Adaptive Statistical Iterative Reconstruction-V in Slender Patients

Cited by 9 publications

References 35 publications

Application of low‐dose CT to the creation of 3D‐printed kidney and perinephric tissue models for laparoscopic nephrectomy

Application of low‐dose CT to the creation of 3D‐printed kidney and perinephric tissue models for laparoscopic nephrectomy

Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube-voltage and tube-current

Clinical application of the contrast-enhancement boost technique in computed tomography angiography of the portal vein

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