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. 2022 Dec 29;3(12):2048–2058. doi: 10.34067/KID.0003192022

Table 3.

Performance of our model in total kidney volume estimation in magnetic resonance images from dataset C, grouped by scanner manufacturer and model, as compared with reference manual tracing

Manufacturer and Model No. of Patients No. of Scans Correlationa Total Kidney Volume Difference,b ml Total Kidney Volume Difference, % P Valuec
Siemens
 Aera 43 109 0.991 −67±185 −1.9±9.9 0.16
 Avanto 41 113 0.992 −47±160 −1.9±7.8 0.07
 SymphonyTim 29 72 0.991 −52±200 −1.3±8.7 0.58
 Avanto fit 12 23 0.995 −29±306 1.3±5.8 0.37
 Amira 8 25 0.990 2±81 0.5±5.0 0.84
 Other models 43 92 0.994 −63±167 −1.9±7.1 0.01
Philips
 Ingenia 26 68 0.998 −41±105 1.4±5.8 0.37
 Intera 31 80 0.995 −116±550 −2.3±6.3 0.07
 Achieva 24 66 >0.999 −56±134 −1.1±3.9 0.05
 Ingenia S 14 40 0.999 −39±75 2.0±4.6 0.17
 Achieva dStream 7 20 >0.999 −10±27 0.3±3.1 0.69
 Panorama HFO 8 20 0.997 −52±281 2.5±11.1 >0.99
GE
 Multiple models 29 73 0.997 −31±108 −0.9±5.8 0.001
TOSHIBA
 Multiple models 5 12 0.999 149±378 −0.1±11.0 0.81

High correlations and consistently small differences from reference volumetry can be noticed for the automated method across all of the models.

a

Pearson correlation coefficient.

b

Total kidney volume difference was calculated between automated and manual methods.

c

Calculated with the Wilcoxon signed-rank test.