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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.