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肝癌患者MDCT多期肝脏扫描图像质量的定性与定量评估

Qualitative and Quantitative Evaluation of the Image Quality of MDCT Multiphasic Liver Scans in HCC Patients.

作者信息

El-Sayed Mohamed Zakaria, Rawashdeh Mohammad, Hassan Hend Galal Eldeen Mohamed Ali, El Safwany Mohamed M, Khedr Yasser I, Soula Moustafa A, Ali Magdi A

机构信息

Medical Imaging Sciences Department, College of Health Sciences, Gulf Medical University, Ajman, UAE.

Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.

出版信息

Int J Biomed Imaging. 2025 Jan 16;2025:4163865. doi: 10.1155/ijbi/4163865. eCollection 2025.

DOI:10.1155/ijbi/4163865
PMID:39867673
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11756936/
Abstract

The quality of CT images obtained from hepatocellular carcinoma (HCC) patients is complex, affecting diagnostic accuracy, precision, and radiation dose assessment due to increased exposure risks. The study evaluated image quality qualitatively and quantitatively by comparing quality levels with an effective radiation dose to ensure acceptable quality accuracy. This study retrospectively reviewed 100 known HCC patients (Li-RADS-5) who underwent multidetector computed tomography (MDCT) multiphasic scans for follow-up of their health condition between January and October 2023. The evaluation involved quantitative and qualitative analyses of parameters such as SD, SNR, and CNR, as well as a qualitative assessment by two radiology consultants. The outcomes were compared, and the effective dose was calculated and compared with both quantitative and qualitative assessments of image quality. ROC curve analysis revealed significant differences in CT image quality, with high to moderate specificity and sensitivity across all the quantitative parameters. However, multivariate examination revealed decreasing importance levels, except for CNR (, 0.203; = 0.001) and SD BG (, 0.330; = 0.002), which increased in . The CNR and SD BG remained independent variables for CT image quality prediction, but no statistically significant relationship was found between the effective dose and image quality, either quantitatively or qualitatively. This study underscores the vital role of both quantitative and qualitative assessments of CT images in evaluating their quality for patients with HCC and highlights the predictive importance of CNR, SNR, and SD. These findings emphasize the value of these devices in assessing and predicting outcomes to minimize the effective dose.

摘要

肝细胞癌(HCC)患者的CT图像质量较为复杂,由于辐射暴露风险增加,会影响诊断准确性、精确性以及辐射剂量评估。该研究通过将质量水平与有效辐射剂量进行比较,对图像质量进行了定性和定量评估,以确保可接受的质量准确性。本研究回顾性分析了100例已知的HCC患者(Li-RADS-5级),这些患者在2023年1月至10月期间接受了多排螺旋CT(MDCT)多期扫描以进行健康状况随访。评估涉及对标准差(SD)、信噪比(SNR)和对比噪声比(CNR)等参数的定量和定性分析,以及由两名放射科顾问进行的定性评估。对结果进行了比较,并计算了有效剂量,并与图像质量的定量和定性评估结果进行了比较。ROC曲线分析显示CT图像质量存在显著差异,所有定量参数的特异性和敏感性从中等到高。然而,多变量分析显示重要性水平降低,但CNR(β = 0.203;P = 0.001)和背景标准差(SD BG,β = 0.330;P = 0.002)除外,其重要性增加。CNR和SD BG仍然是CT图像质量预测的独立变量,但在有效剂量与图像质量之间,无论是定量还是定性方面,均未发现统计学上的显著关系。本研究强调了CT图像定量和定性评估在评估HCC患者图像质量中的重要作用,并突出了CNR、SNR和SD的预测重要性。这些发现强调了这些设备在评估和预测结果以最小化有效剂量方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/7b89fa79c36c/IJBI2025-4163865.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/81903093915f/IJBI2025-4163865.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/2b7b53c24faf/IJBI2025-4163865.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/1f43bf265287/IJBI2025-4163865.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/4a30f43b4e9b/IJBI2025-4163865.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/187f49d53246/IJBI2025-4163865.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/7b89fa79c36c/IJBI2025-4163865.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/81903093915f/IJBI2025-4163865.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/2b7b53c24faf/IJBI2025-4163865.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/1f43bf265287/IJBI2025-4163865.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/4a30f43b4e9b/IJBI2025-4163865.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/187f49d53246/IJBI2025-4163865.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5adf/11756936/7b89fa79c36c/IJBI2025-4163865.006.jpg

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