Virtual Monoenergetic Images Facilitate Better Identification of the Arc of Riolan During Splenic Flexure Takedown.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Qian Li, Pengfei Zhang, Ranxu Zhang, Jianfeng Zhang, Ruoxi Tian, Tianyi Gao, Yu Huang, Ping Zhang, Wei Wei, Rui Hong, Guiying Wang, Jian Zhao
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引用次数: 0

Abstract

Objective: This study aimed to investigate whether virtual monoenergetic images (VMIs) can aid radiologists and surgeons in better identifying the arc of Riolan (AOR) and to determine the optimal kilo electron volt (keV) level.

Methods: Thirty-three patients were included. Conventional images (CIs) and VMI (40-100 keV) were reconstructed using arterial phase spectral-based images. The computed tomography (CT) attenuation and noise of the AOR, the CT attenuation of the erector spinal muscle, and the background noise on VMI and CI were measured, respectively. The signal-to-noise ratio, contrast-to-noise ratio (CNR), and signal intensity ratio were calculated. The image quality of the AOR was evaluated according to a 4-point Likert grade.

Results: The CT attenuation, noise, CNR, and signal intensity ratio of the AOR were significantly higher in VMI at 40 and 50 keV compared with CI ( P < 0.001); VMI at 40 keV was significantly higher than 50 keV ( P < 0.05). No significant difference in signal-to-noise ratio, background noise, and CT attenuation of the spinal erector muscle was observed between VMI and CI ( P > 0.05). virtual monoenergetic image at 40 keV produced the best subjective scores.

Conclusions: Virtual monoenergetic image at 40 keV makes it easier to observe the AOR with optimized subjective and objective image quality. This may prompt radiologists and surgeons to actively search for it and encourage surgeons to preserve it during splenic flexure takedown.

虚拟单能图像有助于更好地识别脾脏屈曲取出过程中的里奥兰弧。
研究目的本研究旨在探讨虚拟单能图像(VMI)能否帮助放射科医生和外科医生更好地识别里奥兰弧(AOR),并确定最佳千电子伏特(keV)水平:方法:共纳入 33 名患者。使用基于动脉相位光谱的图像重建常规图像(CIs)和 VMI(40-100 千电子伏特)。分别测量了 AOR 的计算机断层扫描(CT)衰减和噪声、竖脊肌的 CT 衰减以及 VMI 和 CI 的背景噪声。计算了信噪比、对比度-噪声比(CNR)和信号强度比。AOR 的图像质量按照 4 点 Likert 分级进行评估:AOR的CT衰减、噪声、CNR和信号强度比在40和50 keV的VMI明显高于CI(P < 0.001);40 keV的VMI明显高于50 keV(P < 0.05)。VMI和CI在信噪比、背景噪声和脊柱竖肌CT衰减方面无明显差异(P > 0.05)。40 keV的虚拟单能量图像可产生最佳主观评分:结论:40 keV 的虚拟单能量图像更容易观察到 AOR,并优化了主观和客观图像质量。这可能会促使放射医师和外科医生积极寻找AOR,并鼓励外科医生在切除脾曲时保留AOR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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