Skip to main content

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]