Table 2 Diagnostic performance of Multiparameter in differentiating Benign and malignant breast lesions.

From: Enhanced preoperative prediction of breast lesion pathology, prognostic biomarkers, and molecular subtypes using multiple models diffusion-weighted MR imaging

 

Benign group

Malignant group

P value

AUC

Sensitivity (%)

Specificity (%)

95% confidence interval

Mono-ADC (x10− 3 mm2/s)

1.53 ± 0.41

1.02 ± 0.16

< 0.01*

0.88

90.1

75.6

0.8–0.9

IVIM-D (x10− 3 mm2/s)

1.01 ± 0.37

0.67 ± 0.11

< 0.01*

0.82

96.7

61.0

0.7–0.9

IVIM-D* (mm2/s)

0.02 ± 0.01

0.02 ± 0.01

0.23

0.57

44.0

75.6

0.5–0.7

IVIM-f

0.28 ± 0.08

0.24 ± 0.04

0.01*

0.66

92.3

43.9

0.6–0.7

DKI-MD (x10− 3 mm2/s)

1.73 ± 0.42

1.16 ± 0.19

< 0.01*

0.90

83.5

82.9

0.8–1.0

DKI-MK

0.59 ± 0.19

0.84 ± 0.15

< 0.01*

0.85

82.4

75.6

0.8–0.9

SEM-DDC (x10− 3 mm2/s)

1.64 ± 0.63

0.94 ± 0.19

< 0.01*

0.91

87.9

80.5

0.9–1.0

SEM-α

0.77 ± 0.05

0.74 ± 0.04

0.01*

0.65

73.6

63.4

0.6–0.7

CTRW-Dm (x10− 3 mm2/s)

1.29 ± 0.29

0.86 ± 0.13

< 0.01*

0.93

82.4

90.2

0.9–1.0

CTRW-α

0.99 ± 0.03

0.96 ± 0.04

< 0.01*

0.77

90.1

53.7

0.7–0.8

CTRW-β

0.79 ± 0.07

0.75 ± 0.05

< 0.01*

0.72

91.2

51.2

0.6–0.8

  1. Note: Data are presented as mean ± SD. Significant differences (p < 0.05, Mann–Whitney U-tests) are marked with an *. The best AUC of diffusion parameter for benign and malignant lesions differentiation is shown in bold.
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