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Table 2 Participant demographics, lymph node characteristics, and the summary of the performance of quantitative HDMI biomarkers

From: Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach

 

Reactive

(n = 34)

Metastatic

(n = 34)

p-valueb

Age (y)

55.06 ± 12.93

56.6 ± 13.04

0.73

ALN size (mm)

22 ± 6

24 ± 6

0.0135

Cortical thickness (mm)

4.8 ± 2.0

7.7 ± 4.4

 < 0.001

HDMI Biomarkers

   

 (DMmean)τmean

1.03 ± 0.03

1.04 ± 0.02

0.005

 (DMmax)τmax

1.14 ± 0.16

1.27 ± 0.22

0.00017

 NV

9.56 ± 7.96

24.65 ± 23.13

 < 0.00001

 NB

4.00 ± 1.19

13.59 ± 16.44

0.00001

 VD

0.03 ± 0.02

0.06 ± 0.04

0.00018

 VDR

4.94 ± 4.84

2.35 ± 1.73

0.02

 mvFD

1.17 ± 0.11

1.29 ± 0.10

 < 0.00001

 μm Dmax

548.73 ± 106.89

566.03 ± 0.38

0.13

 μm Dmean

450.41 ± 86.49

449.39 ± 0.31

0.49

 MDmax

0.46 ± 0.27

0.64 ± 0.23

0.007

 MDmean

0.31 ± 0.16

0.32 ± 0.07

0.40

 MDmin

0.18 ± 0.17

0.08 ± 0.09

0.003

 BAmax

114.63 ± 23.60

135.40 ± 11.24

0.006

 BAmean

101.28 ± 18.36

101.03 ± 11.24

0.92

 BAmin

85.37 ± 27.73

62.80 ± 28.39

0.004

  1. Unless otherwise specified, Data are presented as mean ± standard deviation
  2. ª Data are numbers of participants
  3. b Wilcoxon rank-sum test
  4. Numbers in bold indicate statistical significance, i.e., p-value < 0.05
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Breast Cancer Research

ISSN: 1465-542X

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