Abstract Objective: To investigate the effects of maximum slope(MS) and deconvolution(DC) approach on perfusion parameters in pancreatic CT perfusion. Methods: The data of 57 patients who underwent pancreatic CT perfusion examination by 320-slice CT with good image quality were retrospectively analyzed using MS and DC algorithms respectively. Images were illustrated by two certified radiologists using double blind method and perfusion parameters including blood flow(BF), blood volume(BV) were obtained in 30 cases of normal pancreatic heads, bodies and tails(including 90 ROIs) and 27 cases of acute pancreatitis with interstitial edema(including 81 ROIs). The intraclass correlation coefficient(ICC) was used to assess the reproducibility between two radiologists and paired t test was used to evaluate the differences of CT perfusion parameters between the two algorithms. Pearson linear correlation analysis and Bland-Altman analysis were used to estimate the correlation and consistency of the CT perfusion parameters between the two algorithms. Results: There was good agreement(ICC≥0.9) between the two radiologists. There were no significant differences in BF or BV in different regions of the pancreas in either normal pancreas or acute pancreatitis through the same algorithm(P>0.05). In comparison with corresponding values obtained from DC algorithm, the values of pancreatic BV and BF obtained from MS algorithm were higher(P<0.05) in both normal pancreatic body and acute pancreatitis. In addition, there was a significant positive but inconsistent correlation between BF and BV values of different pancreatic regions in both normal pancreas and acute pancreatitis with interstitial edema through the same algorithm(r>0.9, P<0.01). Conclusions: Perfusion parameters obtained from MS and DC algorithms show good, but inconsistent correlation. Thus, the data cannot be used interchangeably between algorithms.
PAN Ke-hua,CAO Guo-quan,SUN Hou-chang, et al. Comparison of maximum slope and deconvolution algorithms on perfusion parameters in pancreatic CT perfusion[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(1): 23-27.
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