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Table 2 Prediction of t-FL with SUVmax and R-signature

From: Virtual biopsy for non-invasive identification of follicular lymphoma histologic transformation using radiomics-based imaging biomarker from PET/CT

Parameters

SE

SP

PPV

NPV

PLR

NLR

ACC

AUC

SUVmax

64.0%

62.5%

34.8%

84.7%

1.71

0.576

62.9%

0.683

R-signature

68.0%

77.5%

48.6%

88.6%

3.02

0.413

75.2%

0.749

  1. Prediction of survival based on evaluation with SUVmax and R-signature
  2. SE sensitivity, SP specificity, PPV positive predictive value, NPV negative predictive value, PLR positive likelihood ratio, NLR negative likelihood ratio, ACC accuracy, AUC area under the curve