Purpose: To estimate if CT perfusion parameter values of the esophageal cancer, which were obtained with the deconvolution-based software and maximum slope algorithm are in agreement, or at least interchangeable. Methods: 278 esophageal tumor ROIs, derived from 35 CT perfusion studies that were performed with a 64-MDCT, were analyzed. "Slice-by-slice" and average "whole-covered-tumor-volume" analysis was performed. Tumor blood flow and blood volume were manually calculated from the arterial tumor-time-density graphs, according to the maximum slope methodology (BFms and BVms), and compared with the corresponding perfusion values, which were automatically computed by commercial deconvolution-based software (BFdeconvolution and BVdeconvolution), for the same tumor ROIs. Statistical analysis was performed using Wilcoxon matched-pairs test, paired-samples t-test, Spearman and Pearson correlation coefficients, and Bland-Altman agreement plots. Results: BFdeconvolution (median: 74.75 ml/min/100 g, range, 18.00-230.5) significantly exceeded the BFms (25.39 ml/min/100 g, range, 7.13-96.41) (Z = -14.390, p < 0.001), while BVdeconvolution (median: 5.70 ml/100 g, range: 2.10-15.90) descended the BVms (9.37 ml/100 g, range: 3.44-19.40) (Z = -13.868, p < 0.001). Both pairs of perfusion measurements significantly correlated with each other: BFdeconvolution, versus BFms (rS = 0.585, p < 0.001), and BVdeconvolution, versus BVms (r(S) = 0.602, p < 0.001). Geometric mean BFdeconvolution/BFms ratio was 2.8 (range, 1.1-6.8), while geometric mean BVdeconvolution/BVms ratio was 0.6 (range, 0.3-1.1), within 95% limits of agreement. Conclusions: Significantly different CT perfusion values of the esophageal cancer blood flow and blood volume were obtained by deconvolution-based and maximum slope-based algorithms, although they correlated significantly with each other. Two perfusion-measuring algorithms are not interchangeable because too wide ranges of the conversion factors were found. (C) 2013 Elsevier Ireland Ltd. All rights reserved.