Table 1 Patient and aneurysm characteristics.

From: Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms

 

Stable

(n = 97)

Reached threshold for surgery

(n = 92)

p

Patient characteristics

Patient sex (female)

16 (16%)

29 (32%)

0.015

Age

72 (67, 77)

73 (67, 78)

0.825

Smoking status

Current/previous/never

27 (28%)/55 (57%)/15 (15%)

33 (36%)/45 (49%)/14 (15%)

0.472

Family History of AAA

Missing

7 (13%)

43 (44%)

16 (26%)

30 (33%)

0.084

Type 2 diabetes

15 (15%)

12 (13%)

0.635

Systolic blood pressure, mmHg

Missing

140 (130, 155)

5 (5%)

140 (130, 150)

9 (10%)

0.895

Diastolic blood pressure, mmHg

Missing

80 (80, 88)

5 (5%)

80 (79, 90)

9 10%)

0.841

CT analysis

Clinical diameter, mm

42 (40, 45)

47 (45, 49)

 < 0.001

Semiautomatic diameter, mm

46 (43, 48)

50 (48, 53)

 < 0.001

Max luminal diameter, mm

34 (31, 38)

38 (33, 42)

 < 0.001

Max ILT thickness, mm

11 (7, 15)

12 (8, 18)

0.031

Vessel volume, cm3

95 (83, 115)

122 (105, 140)

 < 0.001

Lumen volume, cm3

51 (41, 65)

67 (54, 81)

 < 0.001

ILT volume, cm3

24 (17, 38)

36 (20, 50)

0.008

PWS, kPa

172 (149, 194)

188 (167, 211)

 < 0.001

PWRI, ratio

0.31 (0.27, 0.36)

0.37 (0.33, 0.45)

 < 0.001

Mean ILT stress, kPa

6.4 (6.0, 7.0)

6.7 (6.1, 7.4)

0.020

  1. Continuous and categorical data were tested with Kruskal–Wallis and chi-squared test, respectively.
  2. Abbreviations: AAA; abdominal aortic aneurysm, CT; computed tomography, ILT; intraluminal thrombus, PWRI; peak wall rupture index, PWS; peak wall stress.
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