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Table 1 Clinical characteristics of the patients

From: Convolutional neural network-based automatic heart segmentation and quantitation in 123I-metaiodobenzylguanidine SPECT imaging

 

Patients (n = 48)

Male

32 (67)

Age (years)

68.4 ± 11.7

Body weight (kg)

61.1 ± 13.5

Body mass index (kg/m2)

23.0 ± 4.1

Neurological diseases

27 (56)

Parkinson's disease

4

Dementia with Lewy bodies

2

Familial amyloid polyneuropathy

6

Other neurological diseases including progressive supranuclear palsy

15 (44)

Heart diseases

21

Chronic heart failure

13

Arrhythmia

5

Cardiomyopathy

3

Reduced cardiac uptake

17 (35)

Left ventricular ejection fraction

56.1 ± 17.3

  1. Data are shown as n, n (%), means ± standard deviation unless otherwise indicated.