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. 2023 Dec 23;7(2):149–153. doi: 10.1093/jcag/gwad057

Table 1.

VSE and visual estimation classification (underestimation, correct, overestimation) based on size category per clinically relevant size threshold.

Threshold (mm) VSE VA Total misclassified VSE versus VA
(P value)
Underestimation VSE versus VA
(P value)
Overestimation VSE versus VA
(P value)
UE CC OE Total misclassified UE CC OE Total misclassified
3 (n = 47 VSE)
(n = 30 visual)
7 (15 percent) 30 (64 percent) 10 (21 percent) 17 (36 percent) 7 (23 percent) 16 (54 percent) 7 (23 percent) 14 (46 percent) 0.3853 0.3772 0.8368
5 (n = 105 VSE)
(n = 83 visual)
14 (13 percent) 74 (72 percent) 17 (15 percent) 31 (28 percent) 20 (24 percent) 46 (55 percent) 17 (21 percent) 37 (45 percent) 0.0159 0.0511 0.2852
10 (n = 102 VSE)
(n = 72 visual)
19 (19 percent) 75 (74 percent) 8 (7 percent) 27 (26 percent) 27 (38 percent) 40 (56 percent) 5 (6 percent) 32 (44 percent) 0.0135 0.0055 0.7940
20 (n = 97 VSE)
(n = 89 visual)
21 (22 percent) 60 (62 percent) 16 (16 percent) 37 (38 percent) 40 (45 percent) 48 (54 percent) 1 (1 percent) 41 (46 percent) 0.2705 0.0009 0.0003
Total (n = 491 VSE)
(N = 372 Visual)
69 (14 percent) 363 (74 percent) 59 (12 percent) 128 (26 percent) 118 (32 percent) 213 (57 percent) 41 (11 percent) 159 (43 percent) <0.0001 <0.0001 0.6494

UE, underestimation; OE, overestimation; CC, correct classification, VSE, virtual scale estimation; VA, visual assessment.