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Table 1 Patient characteristics

From: A convolutional neural network-based system to classify patients using FDG PET/CT examinations

  n (%)
Total patients 3485
 Males 1954 (56.1)
 Females 1531 (43.9)
Age (in years)
 Mean ± SD 63.9 ± 13.6
 Range 24–95
Cancer-related biomarkers Positive/Total (%)
 AFP 16/167 (9.6)
 CA19–9 177/591 (29.9)
 CEA 282/889 (31.7)
 CYFRA 138/402 (34.3)
 NSE 381/621 (61.4)
 PIVKA-II 24/135 (17.8)
 Pro-GRP 95/540 (17.6)
 PSA 18/55 (32.7)
 SCC 172/784 (21.9)
 S-hCG 3/3 (100)
Pretest diagnosis n (%)
 Head and neck neoplasms 988 (28.4)
 Hematopoietic neoplasms 510 (14.6)
 Neoplasms of lung, pleura, or mediastinum 507 (14.5)
 Hepatobiliary neoplasms 305 (8.8)
 Gastrointestinal neoplasms 258 (7.4)
 Skin neoplasms 168 (4.8)
 Urologic neoplasms 135 (3.9)
 Gynecological neoplasms 112 (3.2)
 Sarcoidosis 91 (2.6)
 Breast neoplasms 67 (1.9)
 Brain and spinal neoplasms 65 (1.9)
 Others 279 (8.0)