利用对比度增强-增强技术提高动脉相成像中肝细胞癌的图像质量和可视性

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Computer Assisted Tomography Pub Date : 2024-11-05 DOI:10.1097/RCT.0000000000001684
Gayoung Yoon, Jhii-Hyun Ahn, Sang-Hyun Jeon
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引用次数: 0

摘要

目的本研究旨在评估动脉期计算机断层扫描(CT)使用对比度增强(CE)-增强技术的图像质量和肝细胞癌(HCC)的可视化情况:这项回顾性研究纳入了2021年6月至2022年2月期间接受动态肝脏CT检查的527例连续患者。在排除 41 例患者后,对 486 例患者进行了定量和定性图像分析。对 486 例患者中至少有一例肝癌的 40 例患者的 HCC 明显性进行了评估。通过从动脉相位图像中减去非增强图像而获得的碘化图像被合并生成 CE 增强图像。在定量图像分析方面,测量了肝脏、胰腺、肌肉和主动脉的图像噪声、信噪比(SNR)和对比度-噪声比(CNR)。在定性分析中,采用 3 级评分法对整体图像质量和噪声进行分级。伪影、清晰度和 HCC 病灶的清晰度采用 5 级评分法进行评估。比较定量指标采用配对样本 t 检验,比较定性指标采用 Wilcoxon 符号秩检验:结果:CE增强图像的主动脉、肝脏、胰腺和肌肉的平均信噪比和CNR显著高于传统图像,图像噪声显著低于传统图像(P < 0.001)。CE-boost 图像中 HCC 的平均 CNR 也明显高于传统图像(P < 0.001)。在定性分析中,CE-增强图像显示的HCC病灶清晰度得分高于传统图像(P < 0.001):结论:CE增强技术提高了HCC的整体图像质量和可见度。
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Improving Image Quality and Visualization of Hepatocellular Carcinoma in Arterial Phase Imaging Using Contrast Enhancement-Boost Technique.

Objective: This study aimed to evaluate the image quality and visualization of hepatocellular carcinoma (HCC) on arterial phase computed tomography (CT) using the contrast enhancement (CE)-boost technique.

Methods: This retrospective study included 527 consecutive patients who underwent dynamic liver CT between June 2021 and February 2022. Quantitative and qualitative image analyses were performed on 486 patients after excluding 41 patients. HCC conspicuity was evaluated in 40 of the 486 patients with at least one HCC in the liver. Iodinated images obtained by subtracting nonenhanced images from arterial phase images were combined to generate CE-boost images. For quantitative image analysis, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured for the liver, pancreas, muscles, and aorta. For qualitative analysis, the overall image quality and noise were graded using a 3-point scale. Artifact, sharpness, and HCC lesion conspicuity were assessed using a 5-point scale. The paired-sample t test was used to compare quantitative measures, whereas the Wilcoxon signed-rank test was used to compare qualitative measures.

Results: The mean SNR and CNR of the aorta, liver, pancreas, and muscle were significantly higher, and the image noise was significantly lower in the CE-boost images than in the conventional images (P < 0.001). The mean CNR of HCC was also significantly higher in the CE-boost images than in the conventional images (P < 0.001). In the qualitative analysis, CE-boost images showed higher scores for HCC lesion conspicuity than conventional images (P < 0.001).

Conclusions: The overall image quality and visibility of HCC were improved using the CE-boost technique.

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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).
期刊最新文献
Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom Study. Improving Image Quality and Visualization of Hepatocellular Carcinoma in Arterial Phase Imaging Using Contrast Enhancement-Boost Technique. Phosphaturic Mesenchymal Tumor and Tumor-Induced Osteomalacia: A Report of 5 Cases, Including 2 Skull Base Cases With Arterial Spin Label Perfusion. Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load. Contrast-Enhanced Digital Mammography for the Diagnosis and Determination of Extent of Disease in Invasive Lobular Carcinoma: Our Experience and Literature Review.
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