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Published on: August 1, 2019
Savitzky-Golay filter based contrast-enhanced ultrasound quantification in hepatic tumors: Methodology and its
Shiyun Peng1,2, Hong Ding1, Tiantian Fu1,3
1Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
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.
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