Hu Mengting,Wang Shigeng,Tong Xiaoyu,et al.Application of auto-prescription technique combined with noise index and iterative reconstruction algorithm to the computed tomographic angiography of deep inferior epigastric artery[J].Chinese Journal of Radiological Medicine and Protection,2024,44(5):436-442
Application of auto-prescription technique combined with noise index and iterative reconstruction algorithm to the computed tomographic angiography of deep inferior epigastric artery
Received:July 13, 2023  
DOI:10.3760/cma.j.cn112271-20230713-00002
KeyWords:Epigastric artery  CT angiography  Radiation dose
FundProject:中国临床试验注册中心,PJ-KS-KY-2019-110
Author NameAffiliationE-mail
Hu Mengting Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Wang Shigeng Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Tong Xiaoyu Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Fan Yong Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Zhang Jingyi Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Cheng Qiye Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Chen Anliang Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China  
Liu Yijun Department of Radiology, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China yijunliu1965@126.com 
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Abstract::
      Objective To explore the effects of the auto-prescription technique combined with noise index (NI) and adaptive statistical iterative reconstruction algorithm-veo (ASIR-V) on the radiation dose and image quality in the computed tomographic angiography (CTA) of the deep inferior epigastric artery (DIEA). Methods The data of 150 cases who underwent DIEP CTA in the First Affiliated Hospital of Dalian Medical University were prospectively collected, and were randomized into groups A, B, and C, with 50 cases in each group. For group A, the conventional tube voltage was 120 kVp, and images were reconstructed using 40% ASIR-V. For group B, the tube voltage based on the auto-prescription technique was adopted, and images were reconstructed using 40%, 60%, and 80% ASIR-V (corresponding to the three subgroups B1-B3, respectively). For group C, the tube voltage based on the auto-prescription technique was employed, NI = 13, and images were reconstructed by 40%, 60%, and 80% ASIR-V (corresponding to subgroups C1, C2, and C3, respectively). Subsequently, the CT and SD values of the originating femoral artery of DIEA and the rectus abdominis at the same level as DIEA were measured on axial images of each group, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and the radiation doses of the three groups were recorded. Finally, the image quality and noise of DIEA in each group were independently and subjectively scored by two radiologists in a blinded manner. Results Compared to group A, groups B and C exhibited higher CT values of femoral artery ( t= -5.18, -5.17, -5.06, -6.08, -6.08, -6.07, P<0.05) and higher image SNR and CNR (P < 0.05), which increased gradually with the upgrading of ASIR-V (F = 55.45, 49.70, 53.47, 68.89, P<0.05). The two radiologists offered consistent subjective evaluations (Kappa = 0.76-0.92, P < 0.05). The images of groups B and C displayed more distinct perforating branches and emerging points of DIEA and received higher subjective scores of intramuscular course compared to those of group A. The subjective scores of image noise in subgroups B2, B3, and C2 were not significantly different from those in group A. The radiation doses in groups B and C decreased by 15.10% and 52.85%, respectively compared to those in group A (H= 75.21, P<0.05). Conclusion The combination of the auto-prescription technique with NI = 13 and 60% ASIR-V can reduce the radiation dose by 52.85% while ensuring a clear display of DIEA.
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