Figure 2

The calibration of T2* and R2* models for LIC estimation. (A) The relationship of liver T2* to LIC obtained by biopsy in 50 samples. The regression fit from Figure 2C was plotted onto the data after exponentiation: LIC = 31.94(T2*)^-1.014 with 95% CI 27.8 to 36.7 (87-115%) for the first term and -1.118 to -0.91 (110-90%) for the exponent. (B) The relationship of liver R2* (=1000/T2*) to LIC of the data in 2A, with regression line from the model in 2D after exponentiation: LIC = 0.029R2*^1.014; 95% CI 0.016 to 0.054 (55-186%) for the first constant, 0.910 to 1.118 (90-110%) for the exponent. (C) Log-log plot of LIC versus liver T2*: Pearson r = -0.94 (95% CI -0.97 to 0.91, p < 0.0001); linear regression: ln(LIC) = 3.464-1.014ln(T2*); slope SE = 0.052, 95% CI -1.118 to -0.9 (110-90%); intercept SE = 0.069, 95% CI 3.325 to 3.603 (96-104%), r squared 0.89. (D) Log-log plot of LIC versus liver R2*: Pearson r = 0.94 (95% CI 0.90 to 0.97, p < 0.0001); linear regression: ln(LIC) = 1.014ln(R2*)-3.54; slope SE = 0.052, 95% CI 0.910 to 1.118 (90-110%); intercept SE = 0.30, 95% CI -4.152 to -2.928 (117-83%); r squared 0.89.