TABLE 2

Outcome Prediction by Means of Visual Analysis and SUVs in 92 Patients

EFSOS
ParameterPPV (%)NPV (%)Accuracy* (%)PPV (%)NPV (%)Accuracy* (%)
Visual analysis50.074.165.238.286.268.5
SUV-based assessment PET2 values
 SUVBWmax84.673.475.0 (0.661)84.687.387.0 (0.740)
 SUVBSAmax91.773.876.1 (0.655)91.787.588.0 (0.735)
 SUVBWmean58.676.270.7 (0.671)63.287.782.6 (0.727)
 SUVBSAmean64.076.172.8 (0.666)70.688.084.8 (0.718)
 T/N ratio64.076.172.8 (0.633)56.588.480.4 (0.696)
Uptake reduction from PET1 to PET2
 SUVBWmax81.375.076.1 (0.664)73.387.084.8 (0.689)
 SUVBSAmax81.375.076.1 (0.672)73.387.084.8 (0.695)
 SUVBWmean70.877.976.1 (0.684)54.288.279.3 (0.683)
 SUVBSAmean72.079.177.2 (0.692)56.588.480.4 (0.694)
 T/N ratio68.275.773.9 (0.665)68.886.883.7 (0.680)
  • * The areas under the ROC curves are presented in parentheses.

  • Results of SUV-based assessment are obtained from ROC analyses. EFS = event-free survival; OS = overall survival; PPV = positive predictive value; NPV = negative predictive value; BW = body weight; BSA = body surface area; T/N ratio = tumor-to-normal ratio.