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Table 5 Characteristics of normal and abnormal MRIs per partition

From: Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning

Ā 

Normal MRIs (nā€‰=ā€‰63)

Abnormal MRIs (nā€‰=ā€‰137)

Participant characteristics

Training set (nā€‰=ā€‰41)

Validation set

(nā€‰=ā€‰9)

Test set

(nā€‰=ā€‰13)

Training set

(nā€‰=ā€‰89)

Validation set

(nā€‰=ā€‰21)

Test set

(nā€‰=ā€‰27)

Sex

Ā 

ā€ƒWomen

15 (36.6)

2 (22.2)

5 (38.5)

33 (37.1)

5 (23.8)

8 (29.6)

ā€ƒMen

26 (63.4)

7 (77.8)

8 (61.5)

56 (62.9)

16 (76.2)

19 (70.4)

Baseline EF (%)

61.0ā€‰Ā±ā€‰6.3

61.3ā€‰Ā±ā€‰6.6

60.6ā€‰Ā±ā€‰6.1

55.6ā€‰Ā±ā€‰15.2

57.3ā€‰Ā±ā€‰14.8

56.6ā€‰Ā±ā€‰18.0

  1. Note. ā€” Data are numbers of patients with percentage in parentheses. Ejection fraction (EF) data are mean dataā€‰Ā±ā€‰standard deviation.