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Table 3 Summary of volume and AD/BED metrics for morphologic and PET-based segmentation

From: Impact of 90Y PET gradient-based tumor segmentation on voxel-level dosimetry in liver radioembolization

  MS PS PS - MS [95% CI]
Volume (cm3) 48 ± 130 [2,6,11,30,818] 49 ± 94 [0.3,6,16,47,482] 0.8 [− 6.2, 7.9] p = 0.84
Dmean (Gy) 197 ± 138 [14,92,158,270,546] 227 ± 153 [21,107,192,300,652] 30 [20, 39] p < 0.0001
D70 (Gy) 142 ± 113 [3,72,110,197,452] 180 ± 132 [13,82,145,226,569] 38 [26, 49] p < 0.0001
D90 (Gy) 96 ± 88 [2,37,65,136,370] 140 ± 111 [6,64,115,179,498] 44 [31, 57] p < 0.0001
BEDmean (Gy) 352 ± 325 [14,116,226,469,1280] 415 ± 385 [22,137,282,530,1663] 63 [35, 90] p < 0.0001
BED70 (Gy) 217 ± 218 [3,84,137,285,920] 293 ± 285 [13,97,194,342,1309] 76 [47, 105] p < 0.0001
BED90 (Gy) 135 ± 152 [2,40,75,178,682] 214 ± 217 [6,73,145,252,1064] 79 [50, 107] p < 0.0001
  1. Data in columns 1 and 2 are mean ± stdev [min, 1st quartile, median, 3rd quartile, max]