Figure 1ROC curve and AUC for breast cancer screening. AUC = area under the ROC curve; ROC = receiver-operating characteristics; US = ultrasonography.
Table 1Characteristics of participants
Variables [mean ± SD, n (%)] |
Benign (n = 18) |
Malignant (n = 3) |
p
|
Age (y) |
50.0 ± 5.8 |
53.3 ± 12.5 |
0.471 |
Lesion |
Left |
10 (47.6%) |
1 (4.8%) |
0.476 |
Right |
8 (38.1%) |
2 (9.5%) |
|
Biopsy procedure time (min) |
55.5 ± 19.9 |
55.0 ± 7.1 |
1.000 |
Ultrasonography |
C0 |
6 (28.6%) |
0 |
0.093 |
C1 |
2 (9.5%) |
0 |
|
C2 |
3 (14.3%) |
1 (4.8%) |
|
C3 |
5 (23.8%) |
0 |
|
C4a |
1 (4.8%) |
2 (9.5%) |
|
C6 |
1 (4.8%) |
0 |
|
Mammography |
C0 |
18 (85.7%) |
2 (9.5%) |
0.143 |
C4a |
0 |
1 (4.8%) |
|
Magnification mammography |
C4a |
18 (85.7%) |
1 (4.8%) |
0.014 |
C4b |
0 |
2 (9.5%) |
|
Table 2Breast cancer detectability
Variables [n (%)] |
Age |
Ultrasonography |
Mammography |
Magnification mammography |
Age + magnification mammography |
Cut-off point |
59.0 |
3.5 |
1.5 |
3.5 |
0.5 |
Youden's index |
0.61 |
0.56 |
0.33 |
0.67 |
1.00 |
Sensitivity (%) |
66.7 |
66.7 |
33.3 |
66.7 |
100.0 |
Specificity (%) |
94.4 |
88.9 |
100.0 |
100.0 |
100.0 |
AUC (95% CI) |
0.648 (0.127–1.000) |
0.787 (0.534–1.000) |
0.667 (0.272–1.000) |
0.833 (0.499–1.000) |
1.000 (1.000–1.000) |
Standard error |
0.266 |
0.129 |
0.201 |
0.171 |
0.000 |
p
|
0.421 |
0.119 |
0.366 |
0.070 |
0.007 |