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Table 1 Comparison between dynamic contrast enhanced MRI criteria of postoperative changes vs. recurrent breast cancer presented as mass lesions (N = 62)

From: Prediction of local breast cancer recurrence after surgery: the added value of diffusion tensor imaging

Characteristic

Postoperative changes (N = 37)

Recurrent breast cancer (N = 25)

P value

Mass shape

  

0.002

 Irregular

24 (64.9%) a

9 (36%) b

 Rounded

3 (8.1%) a

12 (48%) b

 Oval

10 (27%) a

4 (16%) a

Mass margin

  

0.067

 Speculated

2 (5.4%) a

3 (12%) a

 Smooth

10 (27%) a

12 (48%) a

 Irregular

25 (67.6%) a

10 (40%) b

T1 SI

  

0.004

 Mixed

13 (35.1%) a

2 (8%) b

 Low

19 (51.4%) a

23 (92%) b

 Intermediate

3 (8.1%) a

0 (0%) a

 High

2 (5.4%) a

0 (0%) a

T2 SI

  

0.005

 Mixed

17 (45.9%) a

2 (8%) b

 Low

8 (21.6%) a

13 (52%) b

 Intermediate

7 (18.9%) a

7 (28%) a

 High

5 (13.5%) a

3 (12%) a

STIR SI

  

 < 0.001

 Mixed

16 (43.2%) a

0 (0%) b

 Low

7 (18.9%) a

5 (20%) a

 High

14 (37.8%) a

20 (80%) b

Mass enhancement pattern

  

 < 0.001

 No

1 (2.7%) a

2 (8%) a

 Marginal

21 (56.8%) a

2 (8%) b

 Homogeneous

11 (29.7%) a

10 (40%) a

 Heterogeneous

4 (10.8%) a

11 (44%) b

Dynamic curve

  

 < 0.001

 No

1 (2.7%) a

2 (8%) a

 Progressive

22 (59.5%) a

1 (4%) b

 Plateau

11 (29.7%) a

6 (24%) a

 Washout

3 (8.1%) a

16 (64%) b

  1. Bold values represent significant P values
  2. Data are N (%). Tests of significance is Fisher’s exact test. Comparisons of column proportions are in letters, similar letters = insignificant difference, and different letters = significant difference. Significant P values (< 0.05)