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Table 1 Dataset characteristics

From: Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET

 

Lesion-level distribution

Training set

Validation set

Test set

Total

Number of lesions

2302

760

732

3794

GE Discovery RXa

673

221

129

1023

Siemens Biograph mCTb

1629

539

603

2771

PSMA-RADS-1A

149

36

109

294

PSMA-RADS-1B

382

129

126

637

PSMA-RADS-2

442

165

228

835

PSMA-RADS-3A

225

57

63

345

PSMA-RADS-3B

81

32

34

147

PSMA-RADS-3C

19

5

7

31

PSMA-RADS-3D

15

6

22

43

PSMA-RADS-4

446

139

34

619

PSMA-RADS-5

543

191

109

843

 

Patient-level distribution

Training + Validation sets

Test set

Total

Number of patients

214

53

267

GE Discovery RXa

79

19

98

Siemens Biograph mCTb

135

34

169

PSMA-RADS-1A

3

–

3

PSMA-RADS-1B

2

3

5

PSMA-RADS-2

21

6

27

PSMA-RADS-3A

15

5

20

PSMA-RADS-3B

12

2

14

PSMA-RADS-3C

6

–

6

PSMA-RADS-3D

–

1

1

PSMA-RADS-4

33

5

38

PSMA-RADS-5

122

31

153

  1. aGE Healthcare, Waukesha, WI, USA
  2. bSiemens Healthineers, Erlangen, Germany