Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Siemens Healthineers CT Collaboration, Shanghai, China.
Eur J Radiol. 2024 Aug;177:111545. doi: 10.1016/j.ejrad.2024.111545. Epub 2024 Jun 8.
Fat deposition is an important marker of many metabolic diseases. As a noninvasive and convenient examination method, CT has been widely used for fat quantification. With the clinical application of photon-counting detector (PCD)-CT, we aimed to investigate the accuracy, stability, and dose level of PCD-CT using various scan settings for fat quantification.
Eleven agar-based lipid-containing phantoms (vials with different fat fractions [FFs]; range: 0 %-100 %) were scanned using PCD-CT. Three scanning types (sequence scan, regular spiral scan with a pitch of 0.8, and high-pitch spiral scan with a pitch of 3.2), four tube voltages (90, 120, 140, and 100 kV with a tin filter), and three image quality (IQ) levels (IQ levels of 20, 40, and 80) were alternated, and each scan setting was used twice. For each scan, a 70-keV image was generated using the same reconstruction parameters. A regular spiral scan at 120 kV with IQ80 was used to transfer the CT numbers of all scans to the FF. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were implemented for accuracy and agreement evaluation, and group differences were compared using analysis of variance.
Excellent agreement and accuracy of FF derived by PCD-CT with all scan settings was demonstrated by high ICCs (>0.9; range: 0.929-0.998, p < 0.017) and low bias (<5% range: -2.9 %-5%). The root mean square error (RMSE) between the PCD-CT-acquired FF and the reference standard ranged from 1.0 % to 5.0 %, among which the high-pitch scan at 120 kV with IQ20 accounted for the lowest RMSE (1.0 %). The spiral scan at 120 kV with IQ20 and IQ80 yielded the lowest bias (mean value: 1.19 % and 1.23 %, respectively).
Fat quantification using PCD-CT reconstructed at 70 keV was accurate and stable under various scan settings. PCD-CT has great potential for fat quantification using ultralow radiation doses.
脂肪沉积是许多代谢疾病的重要标志物。CT 作为一种非侵入性和方便的检查方法,已广泛用于脂肪定量。随着光子计数探测器(PCD)-CT 的临床应用,我们旨在研究使用不同扫描设置进行脂肪定量的 PCD-CT 的准确性、稳定性和剂量水平。
使用 PCD-CT 对 11 个基于琼脂的含脂体模(含不同脂肪分数[FF]的小瓶;范围:0%-100%)进行扫描。使用三种扫描类型(序列扫描、螺距为 0.8 的常规螺旋扫描和螺距为 3.2 的高螺距螺旋扫描)、四种管电压(90、120、140 和 100kV 加锡滤器)和三种图像质量(IQ)水平(IQ 水平为 20、40 和 80)进行交替,每种扫描设置使用两次。对于每次扫描,使用相同的重建参数生成 70keV 图像。使用常规的 120kV 螺旋扫描和 IQ80 将所有扫描的 CT 值转换为 FF。采用组内相关系数(ICC)和 Bland-Altman 分析进行准确性和一致性评估,并采用方差分析比较组间差异。
通过所有扫描设置的 PCD-CT 获得的 FF 具有很高的 ICC(>0.9;范围:0.929-0.998,p<0.017)和低偏差(<5%,范围:-2.9%-5%),证明了准确性和一致性很高。PCD-CT 获得的 FF 与参考标准之间的均方根误差(RMSE)范围为 1.0%-5.0%,其中 120kV 高螺距扫描和 IQ20 的 RMSE 最低(1.0%)。120kV 螺旋扫描和 IQ20 和 IQ80 的偏差最低(平均值:分别为 1.19%和 1.23%)。
在各种扫描设置下,使用 70keV 重建的 PCD-CT 进行脂肪定量准确且稳定。PCD-CT 具有使用超低辐射剂量进行脂肪定量的巨大潜力。