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EJNMMI Physics

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]
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