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. 2018 Dec 27;26(4):452–458. doi: 10.1007/s12282-018-00943-2

Table 4.

Logistic regression models for underestimation in vacuum-assisted biopsies (VAB) (N = 151)

Effect Univariate Multivariate
Odds ratio 95% Wald confidence limits p value Odds ratio 95% Wald confidence limits p value
ADH 1.35 0.68 2.69 0.386 1.22 0.40 3.67 0.730
FEA 1.16 0.58 2.33 0.673 1.35 0.45 4.05 0.592
RS 0.27 0.03 2.29 0.232 0.29 0.03 2.97 0.295
LN 1.12 0.39 3.21 0.839 0.84 0.25 2.83 0.783
Extension 0.83 0.42 1.65 0.601 0.85 0.41 1.77 0.662
Multifocality 2.31 1.16 4.62 0.018* 2.66 1.22 5.80 0.014*
Calcification 0.54 0.25 1.18 0.124 0.35 0.14 0.88 0.025*
Papillomas 0.24 0.03 1.95 0.181 0.33 0.03 3.31 0.346

Univariate and multivariate logistic regression analyses of disease underestimation by vacuum-assisted biopsy. Associated B3 lesions or the diameter of the lesion had no significant effect, but multifocality and associated calcification significantly affected the upgrade rates for vacuum-assisted biopsy samples (7–11G)

ADH atypical ductal hyperplasia, FEA flat epithelial atypia, RS radial scar, LN lobular neoplasia, classical type

*Statistically significant