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Table 4 Exploratory modeling for the association of DTI parameters with malignancy in different lesion types

From: Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study

DTI variable

Pathology status

Univariate model

Multivariate model*

Malignant

Benign

No.

Mean ± SD

No.

Mean ± SD

OR

(95% CI)

p value

OR

(95% CI)

p value

ADC, 10−3 mm2/s

 Mass

54

1.19 ± 0.27

81

1.59 ± 0.30

0.19

(0.10–0.36)

< 0.001

0.23

(0.13–0.43)

< 0.001

 Non-mass

41

1.35 ± 0.36

62

1.49 ± 0.30

0.64

(0.40–1.02)

0.060

0.42

(0.22–0.84)

0.013

     

(p = 0.002)

  

(p = 0.20)

  

FA

 Mass

54

0.31 ± 0.17

81

0.21 ± 0.12

2.02

(1.36–3.01)

< 0.001

1.62

(0.97–2.71)

0.067

 Non-mass

41

0.24 ± 0.11

62

0.26 ± 0.14

0.94

(0.64–1.38)

0.74

0.54

(0.29–1.01)

0.053

     

(p = 0.006)

  

(p = 0.009)

  
  1. *The multivariate model included ADC, FA, mass vs. non-mass type, log(lesion size), and interactions between mass/non-mass and ADC and FA; ORs were scaled to show change per 1-SD increase in the corresponding variable; FA was log-transformed prior to inclusion in the logistic regression model to reduce right-skewness
  2. Wald test comparing the ORs corresponding to masses and non-masses