胸部计算机断层扫描低剂量方案的多机构评估:剂量和图像质量

IF 0.9 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Acta radiologica open Pub Date : 2024-01-30 eCollection Date: 2024-01-01 DOI:10.1177/20584601241228220
Elena Tonkopi, Mercy Afadzi Tetteh, Catherine Gunn, Haseem Ashraf, Sigrid Lia Rusten, Perkhah Safi, Nora Suu Tinsoe, Kylie Colford, Olivia Ouellet, Salma Naimi, Safora Johansen
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引用次数: 0

摘要

背景:低剂量 CT(LDCT)胸部方案在临床上广泛应用于多种适应症;因此,在标准化之前需要对方案进行评估。达尔豪斯大学和奥斯陆都会大学正式建立了合作关系。目的:旨在评估挪威和加拿大七家不同医院的低剂量 CT 胸部检查方案的辐射剂量和图像质量:调查包括 240 名平均体型患者的回顾性剂量测定数据、容积 CT 剂量指数 (CTDIvol) 和剂量长度乘积 (DLP),以及 CT 方案参数。每次检查都计算了有效剂量(ED)和特定体型剂量估计值(SSDE)。为了进行定量图像质量分析,对胸部三个区域的噪声、CT 数量和信噪比 (SNR) 进行了测定。对比皮下脂肪,计算肺实质的对比噪声比(CNR)。剂量和图像质量的差异通过单因素方差分析进行评估。采用双样本 t 检验来确定不同扫描仪之间的平均值差异:方差分析检验显示,所有扫描仪(包括相同型号的扫描仪)的剂量值都存在显著差异(p < .05)。在胸部所有三个测量区域,不同扫描仪的 SNR 分布平均值以及 CNR 值均存在统计学意义上的差异(p < .05):即使在同一家医院和相同型号的扫描仪之间,也能观察到剂量和图像质量测量的差异,这表明两国的相关医院都有可能对方案进行优化。
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A multi-institutional assessment of low-dose protocols in chest computed tomography: Dose and image quality.

Background: Low-dose CT (LDCT) chest protocols have widespread clinical applications for many indications; as a result, there is a need for protocol assessment prior to standardization. Dalhousie University and Oslo Metropolitan University have a formally established cooperative relationship.

Purpose: The purpose is to assess radiation dose and image quality for LDCT chest protocols in seven different hospital locations in Norway and Canada.

Material and methods: Retrospective dosimetry data, volumetric CT dose index (CTDIvol), and dose length product (DLP) from 240 average-sized patients as well as CT protocol parameters were included in the survey. Effective dose (ED) and size-specific dose estimate (SSDE) were calculated for each examination. For a quantitative image quality analysis, noise, CT number, and signal-to-noise ratio (SNR) were determined for three regions in the chest. The contrast-to-noise ratio (CNR) was calculated for lung parenchyma in comparison to the subcutaneous fat. Differences in dose and image quality were evaluated by a single-factor ANOVA test. A two-sample t-test was performed to determine differences in means between individual scanners.

Results: The ANOVA test revealed significant differences (p < .05) in dose values for all scanners, including identical scanner models. Statistically significant differences (p < .05) were determined in mean values of the SNR distributions between the scanners in all three measured regions in the chest, as well as the CNR values.

Conclusion: The observed variations in dose and image quality measurements, even within the same hospitals and between identical scanner models, indicate a potential for protocol optimization in the involved hospitals in both countries.

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