Table 2.
Multivariate logistic regression analysis of predictors of positive SLN findings
POSITIVE SLN FINDINGS | ||||
---|---|---|---|---|
| ||||
Factor | N | OR | (95% CI) | P value |
Biopsy method | 0.007 | |||
Percutaneous (Ref) | 975 | 1.00 | ||
Excisional | 259 | 1.90 | (1.20–3.01) | 0.007 |
| ||||
Papillary histologic subtype | 0.006 | |||
No (Ref) | 905 | 1.00 | ||
Yes | 329 | 1.77 | (1.18–2.67) | 0.006 |
| ||||
DCIS size >2 cm a | 0.030 | |||
No (Ref) | 602 | 1.00 | ||
Yes | 632 | 1.55 | (1.04–2.31) | 0.030 |
| ||||
Total no. of interventions b | 0.001 | |||
1–2 (Ref) | 681 | 1.00 | ||
3 | 384 | 1.43 | (0.93–2.22) | 0.107 |
4 | 112 | 2.04 | (1.11–3.75) | 0.022 |
≥5 | 57 | 3.87 | (1.88–7.95) | <0.001 |
| ||||
Final pathologic diagnosis | <0.001 | |||
Pure DCIS (Ref) | 907 | 1.00 | ||
Microinvasive cancer | 68 | 3.44 | (1.66–7.12) | 0.001 |
Invasive cancer | 259 | 6.21 | (4.08–9.45) | <0.001 |
| ||||
ISOLATED TUMOR CELLS c | ||||
| ||||
Biopsy method | 0.001 | |||
Percutaneous (Ref) | 920 | 1.00 | ||
Excisional | 248 | 2.55 | (1.46–4.44) | 0.004 |
| ||||
DCIS size >2 cm | 0.002 | |||
No (Ref) | 573 | 1.00 | ||
Yes | 595 | 2.38 | (1.37–4.16) | 0.001 |
| ||||
Total no. of interventions | <0.001 | |||
1–2 (Ref) | 646 | 1.00 | ||
3 | 367 | 2.82 | (1.54–5.14) | 0.001 |
4 | 101 | 2.65 | (1.12–6.32) | 0.027 |
≥ 5 | 54 | 7.62 | (3.27–17.74) | <0.001 |
| ||||
Final pathologic diagnosis | 0.047 | |||
Pure DCIS (Ref) | 895 | 1.00 | ||
Microinvasive cancer | 63 | 2.28 | (0.90–5.79) | 0.084 |
Invasive cancer | 210 | 1.95 | (1.04–3.66) | 0.037 |
| ||||
METASTASES c | ||||
| ||||
Papillary histologic subtype | 0.008 | |||
No (Ref) | 866 | 1.00 | ||
Yes | 302 | 2.11 | (1.21–3.66) | 0.008 |
| ||||
Final pathologic diagnosis | <0.001 | |||
Pure DCIS (Ref) | 863 | 1.00 | ||
Microinvasive cancer | 62 | 6.37 | (2.16–18.78) | 0.001 |
Invasive cancer | 243 | 18.30 | (9.52–35.16) | <0.001 |
DCIS, ductal carcinoma in situ; OR, odds ratio; no., number; SLN, sentinel lymph node; SLND, sentinel lymph node dissection.
We chose to use the preoperative categorical variable rather than the postoperative continuous variable to go into the final regression model.
We chose to use total number of interventions rather than total number of biopsies and total number of surgeries in the final model as the first variable is a composite of the other two.
Only variables found to be predictive of positive SLN findings were chosen for entry into the models for isolated tumor cells and metastases to determine their individual contributions.