Table 1 Patient characteristics in the development, validation, and kidney donor data sets.

From: Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals

Characteristic

Development

Validation

Kidney donors

Number of patients

370

266

287

Age (years)

55 ± 15

55 ± 15

54 ± 12

Sex (male/female)

208/162

149/117

112/175

Weight (kg)

78 ± 18

79 ± 18

76 ± 12

Stature (cm)

173 ± 10

173 ± 10

172 ± 13

BMI (kg/m2)

26 ± 6

26 ± 5

25 ± 3

BSA (m2)

1.91 ± 0.23

1.91 ± 0.25

1.89 ± 0.19

In-patient/out-patient

120/250

96/170

0/287

Urine creatinine (mmol/day)

11 ± 4

11 ± 4

12 ± 5

Psoas volume > − 15HU (cm2)

19 ± 7

18 ± 7

18 ± 6

Psoas mean RA > − 15HU (HU)

44 ± 9

44 ± 9

48 ± 6

Long spine volume > − 15HU (cm2)

44 ± 10

43 ± 12

46 ± 10

Long spine mean RA > − 15HU (HU)

38 ± 11

37 ± 12

44 ± 9

Abdominal wall volume > − 15HU (cm2)

68 ± 20

67 ± 20

66 ± 18

Abdominal wall mean RA > − 15HU (HU)

34 ± 11

33 ± 11

36 ± 8

  1. Values are expressed as mean ± SD.
  2. BMI body mass index, BSA body surface area, RA radiation attenuation, HU hounsfield units.