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Table 5 Median differences (range) of tumor maximum standardized uptake value (SUVmax) using different reconstruction algorithms are displayed in the upper right half of the table. The lower left half of the table shows p values of pairwise comparisons of different reconstructions

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

  Differencea of SUVmax
OSEMTOF TOFPSF BSREM350 BSREM450 BSREM600 BSREM800 BSREM1200
OSEMTOF + 6.8% (− 4.2 to + 22.0%) + 28.0 (+ 6.9 to + 73.5%) + 23.4% (+ 4.1 to + 66.6%) + 18.5% (− 0.3 to + 61.2%) + 13.4% (− 5.0 to + 54.0%) + 8.2% (− 11.9 to + 41.3%)
OSEMPSF < 0.001 + 17.7% (− 2.7 to + 42.3%) + 14.1% (− 5.3 to + 36.6%) + 9.3% (− 8.6 to + 32.2%) + 6.4% (− 12.4 to + 26.3%) + 0.8% (− 18.0 to + 15.8%)
BSREM350 < 0.001 < 0.001 − 3.6% (− 12.3 to + 6.7%) − 6.8% (− 24.0 to − 1.3%) − 10.2% (− 34.0 to − 3.9%) − 15.1% (− 31.4 to − 5.9%)
BSREM450 < 0.001 < 0.001 < 0.001 − 3.5% (− 13.2 to − 1.0%) − 7.5% (− 31.0 to − 2.7%) − 12.5% (− 21.9 to − 4.8%)
BSREM600 < 0.001 < 0.001 < 0.001 < 0.001 − 3.9% (− 26.7 to − 1.4%) − 9.0% (− 17.5 to − 3.6%)
BSREM800 < 0.001 < 0.001 < 0.001 < 0.001 < 0.001 − 4.8% (− 10.6 to + 16.7%)
BSREM1200 < 0.001 NS < 0.001 < 0.001 < 0.001 < 0.001
  1. Post hoc pairwise comparison with Bonferroni-adjustment for multiple comparison
  2. BSREM block sequential regularized expectation maximization, OSEM ordered subset expectation maximization, PSF point spread function modelling, TOF time of flight, NS not significant
  3. aCalculated as (SUVmax in each dataset [i.e., 2nd row] − SUVmax reference [i.e., 1st column]) × 100/(SUVmax reference)