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Table 1 Demographic data of study subjects (n = 45)

From: Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors

Female/male, n (%) 16 (36%)/29 (64%)
Age, years 68 ± 10 (47–83)
Body weight, kg 71 ± 17 (39–114)
Body height, m 1.71 ± 0.1 (1.49–1.87)
BMI, kg/m2 24.3 ± 4.8 (15.0–36.8)
Blood glucose level at time of injection, mg/dl 101 ± 17 (67–157)
Injected tracer activity, MBq 175 ± 73 (85–318)
PET/CT scan post injection time, min 62 ± 9 (51–97)
Lung tumor localization, n (%)
 Peripheral 29 (64%)
 Peri-hilar 16 (36%)
Lung cancer stage, n (%)a
 I 4 (10%)
 II 5 (12%)
 III 12 (29%)
 IV 20 (49%)
  1. Values are given as absolute numbers and percentages in parenthesis or mean ± standard deviation (range)
  2. BMI body mass index, MBq mega-Becquerel, PET positron-emission tomography
  3. aStages for all patients with NSCLC (n = 41); according to the 8th Edition Lung Cancer Stage Classification [20]