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基于 Savitzky-Golay 滤波器的肝肿瘤超声增强定量法:方法学及其与肿瘤血管生成的相关性。

Savitzky-Golay filter based contrast-enhanced ultrasound quantification in hepatic tumors: Methodology and its correlation with tumor angiogenesis.

机构信息

Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.

Present address: Department of Diagnostic Ultrasound, Second University Hospital of Sichuan University, Cheng Du, Sichuan, China.

出版信息

Clin Hemorheol Microcirc. 2019;73(2):271-282. doi: 10.3233/CH-180432.

DOI:10.3233/CH-180432
PMID:30103307
Abstract

BACKGROUND

Savitzky-Golay filter is a digital filter used in data smoothing, we introduced a contrast-enhanced ultrasound (CEUS) quantification software based on the filter (SGCQ).

OBJECTIVE

To explore the methodology of analyzing hepatic tumors hemodynamics applying SGCQ software and the correlation between SGCQ parameters and hepatocellular carcinoma (HCC) angiogenesis.

METHODS

Nighty-seven right-lobe located hepatic mass cases (15 females and 82 males, mean age 58±10y, mean lesion size: 39.9±11.6 mm) underwent CEUS scan preoperatively and had a final diagnosis of HCC (n = 52) or colorectal cancer metastatic liver tumors (MLT, n = 45) were included. CEUS was carried out using a 1-5 MHz convex probe. The CEUS clips were recorded and analyzed off-line to obtain the parameters. The parameters were analyzed by 3 observers separately to investigate inter-observer variability. Parameters were compared between tumor and adjacent liver and between different tumors. Immunohistochemistry was used to evaluate the microvessel density (MVD) of HCC, and the correlation between the parameters and MVD was analyzed.

RESULTS

Intraclass correlation coefficient (ICC) of all parameters were greater than 0.75 except wash-in slope (a3) and time to peak (TTP) of adjacent liver. The parameters of a3, wash-out slope (a2), perfusion time (PT) and area under the curve (AUC) were significantly different between HCC and liver. The a2, a3, AUC, PT and enhanced intensity (EI) were significantly different between MLT and liver. AUC, a2, a3, da1 and dPI were significantly different between HCC and MLT. AUC, a2 and EI correlated with MVD.

CONCLUSION

SGCQ software quantification have good consistency among three observers, the parameters of SGCQ can display the hemodynamics of HCC and MLT and the difference between them. AUC and EI can serve as useful biomarkers in tumor angiogenesis evaluation.

摘要

背景

Savitzky-Golay 滤波器是一种用于数据平滑的数字滤波器,我们引入了一种基于该滤波器的对比增强超声(CEUS)量化软件(SGCQ)。

目的

探索应用 SGCQ 软件分析肝肿瘤血流动力学的方法学及其与肝细胞癌(HCC)血管生成的相关性。

方法

97 例右叶肝占位病变患者(女性 15 例,男性 82 例,平均年龄 58±10 岁,平均病灶大小:39.9±11.6 mm)术前接受 CEUS 扫描,最终诊断为 HCC(n = 52)或结直肠癌转移性肝肿瘤(MLT,n = 45)。CEUS 使用 1-5 MHz 凸阵探头进行。记录并离线分析 CEUS 剪辑以获得参数。由 3 位观察者分别对参数进行分析,以研究观察者间的变异性。比较肿瘤与相邻肝组织之间以及不同肿瘤之间的参数。免疫组织化学用于评估 HCC 的微血管密度(MVD),并分析参数与 MVD 的相关性。

结果

除相邻肝的洗脱斜率(a3)和达峰时间(TTP)外,所有参数的组内相关系数(ICC)均大于 0.75。a3、洗脱斜率(a2)、灌注时间(PT)和曲线下面积(AUC)等参数在 HCC 与肝组织之间存在显著差异。a2、a3、AUC、PT 和增强强度(EI)在 MLT 与肝组织之间存在显著差异。AUC、a2、a3、da1 和 dPI 在 HCC 与 MLT 之间存在显著差异。AUC、a2 和 EI 与 MVD 相关。

结论

SGCQ 软件定量具有良好的观察者间一致性,SGCQ 参数可以显示 HCC 和 MLT 的血流动力学及其差异。AUC 和 EI 可作为肿瘤血管生成评估的有用生物标志物。

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