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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