Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, Pavia, Italy.
Department of Clinical Sciences and Infectious Diseases, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy.
J Ultrasound Med. 2021 Jul;40(7):1325-1332. doi: 10.1002/jum.15512. Epub 2020 Sep 22.
The main aim was to assess the performance and cutoff value for the detection of liver steatosis (grade S > 0) with the Attenuation Imaging-Penetration (ATI-Pen) algorithm available on the Aplio i-series ultrasound systems (Canon Medical Systems, Otawara, Japan). The magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) was used as the reference standard. Secondary aims were to compare the results to those obtained with the previous ATI algorithm (Attenuation Imaging-General [ATI-Gen]) and with the controlled attenuation parameter (CAP) and to generate a regression equation between ATI-Pen and ATI-Gen values.
Consecutive adult patients potentially at risk of liver steatosis were prospectively enrolled. Each patient underwent ultrasound quantification of liver steatosis with ATI-Pen and ATI-Gen and a CAP assessment with the FibroScan system (Echosens, Paris, France). The MRI-PDFF evaluation was performed within a week. The correlations between ATI-Pen, ATI-Gen, the CAP, and the MRI-PDFF were analyzed with the Pearson rank correlation coefficient. The diagnostic performance of ATI-Pen, ATI-Gen, and the CAP was assessed with receiver operating characteristic curves and an area under the receiver operating characteristic curve (AUROC) analysis.
Seventy-two individuals (31 male and 41 female) were enrolled. Correlation coefficients of ATI-Pen, ATI-Gen, and the CAP with the MRI-PDFF were 0.78, 0.83, and 0.58, respectively. The AUROCs of ATI-Pen, ATI-Gen, and the CAP for detecting steatosis (S > 0) were 0.90 (95% confidence interval, 0.81-0.96), 0.92 (0.82-0.98), and 0.85 (0.74-0.92), and the cutoffs were greater than 0.69 dB/cm/MHz, greater than 0.62 dB/cm/MHz, and greater than 273 dB/m. The regression equation between ATI-Pen and ATI-Gen was ATI-Pen = 0.88 ATI-Gen + 0.13.
Attenuation Imaging is a reliable tool for detecting liver steatosis, showing an excellent correlation with the MRI-PDFF and high performance with AUROCs of 0.90 or higher.
本研究旨在评估 Aplio i 系列超声系统(佳能医疗系统,鸟取,日本)上的衰减成像-穿透(ATI-Pen)算法检测肝脂肪变性(S>0)的性能和截断值。磁共振成像衍生的质子密度脂肪分数(MRI-PDFF)被用作参考标准。次要目的是将结果与之前的 ATI 算法(衰减成像-一般[ATI-Gen])和受控衰减参数(CAP)进行比较,并生成 ATI-Pen 和 ATI-Gen 值之间的回归方程。
连续入组有潜在肝脂肪变性风险的成年患者。每位患者均接受超声检测肝脂肪变性,采用 ATI-Pen 和 ATI-Gen 进行定量分析,同时采用 FibroScan 系统(Echosens,巴黎,法国)进行 CAP 评估。MRI-PDFF 评估在一周内进行。采用 Pearson 秩相关系数分析 ATI-Pen、ATI-Gen、CAP 与 MRI-PDFF 之间的相关性。采用受试者工作特征曲线和曲线下面积(AUROC)分析评估 ATI-Pen、ATI-Gen 和 CAP 的诊断性能。
共纳入 72 名个体(31 名男性和 41 名女性)。ATI-Pen、ATI-Gen 和 CAP 与 MRI-PDFF 的相关系数分别为 0.78、0.83 和 0.58。ATI-Pen、ATI-Gen 和 CAP 检测脂肪变性(S>0)的 AUROCs 分别为 0.90(95%置信区间,0.81-0.96)、0.92(0.82-0.98)和 0.85(0.74-0.92),截断值大于 0.69 dB/cm/MHz、大于 0.62 dB/cm/MHz 和大于 273 dB/m。ATI-Pen 和 ATI-Gen 之间的回归方程为 ATI-Pen=0.88ATI-Gen+0.13。
衰减成像(Attenuation Imaging)是一种可靠的检测肝脂肪变性的工具,与 MRI-PDFF 具有极好的相关性,AUROCs 高达 0.90 或更高,具有较高的性能。