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. 2017 May 30;12(5):e0178488. doi: 10.1371/journal.pone.0178488

Table 4. Absolute and percentage difference and root mean squared error (RMSE) between methods used to compute single kidney volume (SKV) by the expert operator on MR and CT images from ADPKD patients in the experimental dataset.

SKV computation method SKV Difference
ml
RMSE
ml
SKV Difference
%
RMSE
%
MR Osirix free-hand vs ImageJ polyline -19 [–229, 60] 66 -0.8 [-9.5, 4.4] 3.2
Livewire tool vs ImageJ polyline -10 [–123, 93] 40 -1.4 [-15.9, 5.4] 4.0
Stereology vs ImageJ polyline -47 [–329, 152] 101 -3.7 [-23.1, 5.2] 6.3
Mid-slice vs ImageJ polyline -19 [–251, 346] 118 -2.9 [-32.1, 14.4] 9.7
Ellipsoid vs ImageJ polyline -213 [–1044, 333] 350 -18.8 [-48.0, 53.2] 25.4
CT Osirix free-hand vs ImageJ polyline 2 [–40, 82] 23 -0.1 [-2.7, 3.2] 1.3
Livewire tool vs ImageJ polyline -26 [–88, 42] 39 -2.2 [-6.2, 1.6] 2.8
Stereology vs ImageJ polyline -11 [–67, 39] 26 -1.0 [-5.2, 3.2] 2.1
Mid-slice vs ImageJ polyline -190 [–862, 23] 276 -13.4 [-27.1, 2.8] 15.0
Ellipsoid vs ImageJ polyline -128 [–666, 559] 289 -10.7 [-33.6, 34.5] 19.0

Number of single kidneys analyzed n = 30 for MR and n = 30 for CT. SKV are from first tracing of expert operator.

SKV difference is expressed as mean difference and [range]; RMSE = Root mean square error.