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. 2020 Dec 2;28(6):3243–3253. doi: 10.1245/s10434-020-09273-0

Table 5.

Predictive factors for false negative MICRA biopsies (n = 78)

Univariable Multivariable
OR 95% CI P - value OR 95% CI P - value
Imaging features pre-NST
Tumor size (mm) 0.98 0.95–1.00 0.066 0.98 0.94–1.01 0.23
Multifocal 0.36 0.12–1.11 0.074
Non-mass 0.80 0.28–2.28 0.67
Calcifications 1.02 0.40–2.60 0.96
Histology pre-NST
Ductal 1
Lobular 0.64 0.15–2.72 0.55
Other 0.00 0.00–Inf. 0.99
HR  10% pre-NST
Positive 4.25 1.58–11.48 0.0043 4.55 0.95–21.73 0.058
Subtype pre-NST
HR +/HER2 - 1
HR +/HER2 + 1.35 0.37–5.02 0.65
HR -/HER2 + 8.12 1.31–50.21 0.024
triple-negative 3.97 1.21–12.99 0.023
Radiological response
Partial 1
Complete 5.98 1.59–22.46 0.008 9.81 1.72–55.89 0.01
Pathology post-NST
Tumor size (mm) 0.88 0.81–0.95 0.0006 0.93 0.87–1.00 0.051
DCIS or invasive carcinoma
No DCIS 1
DCIS and invasive 0.28 0.08–0.97 0.044 0.51 0.12–2.11 0.35
DCIS only 4.26 0.78–23.44 0.095 2.39 0.23–24.37 0.46

Univariable and multivariable logistic regression. HR, hormone receptor expression; NST, neoadjuvant systemic therapy. All baseline characteristics were assessed before administration of neoadjuvant systemic therapy. Calcifications were assessed on mammography, other imaging features were assessed on MRI