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Table 1: Pearson (r) and Spearman (ρ) correlations between rCBV metrics under PLD-corrected and non-PLD-corrected conditions, as measured by IBN and NICE perfusion software algorithms^{^a}
rCBV Metric Non-PLD vs PLD (IBN) P Value Non-PLD vs PLD (NICE) with gvf P Value Non-PLD vs PLD (NICE) without gvf P Value
Mean r = 0.87 <.001 r = 0.11 .54 r = 0.43 .01
ρ = 0.86 <.001 ρ = 0.42 .02 ρ = 0.62 <.001
Mode r = 0.78 <.001 r = 0.44 .01 r = 0.51 .01
ρ = 0.76 <.001 ρ = 0.65 <.001 ρ = 0.65 <.001
% < 1.75 r = 0.93 <.001 r = 0.55 <.001 r = 0.59 <.001
ρ = 0.91 <.001 ρ = 0.61 <.001 ρ = 0.60 <.001
FTB r = 0.96 <.001 r = 0.79 <.001 r = 0.70 <.001
ρ = 0.94 <.001 ρ = 0.72 <.001 ρ = 0.71 <.001
Note:—gvf indicates γ variate fitting.
↵a NICE calculations were performed with and without gvf. IBN modeling shows substantially higher correlation between PLD and non-PLD metrics (compared with NICE), suggesting higher rCBV accuracy in the absence of PLD correction. Statistical significance is P value < .05.