Related Experiment Videos
PET/CT in cancer: Methodological considerations for comparative diagnostic phase II studies with paired binary data
O Gerke1, W Vach, P F Høilund-Carlsen
1Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark. oke@stat.sdu.dk
Objectives:
When the combined diagnostic imaging technique PET/CT is considered promising with respect to diagnosis/staging of a certain cancer type, a systematic investigation by means of clinical diagnostic studies in the target population is necessary to evaluate the usefulness of PET/CT compared to the current standard. It is often difficult to decide in advance whether it is appropriate to plan a superiority or non-inferiority study. We propose a statistical analysis strategy which is flexible enough to cope with both aims alike.
Methods:
In opposition to clinical studies on drugs, each patient can be subjected to both PET/CT and the current standard, leading to paired observations of binary data (e.g., cancer = yes/no, stage = 0/1+). The analysis strategy focuses on point estimates and confidence intervals for the difference (or relative increase) in accuracy measures.
Results:
Formulas for approximate 95% confidence intervals for the differences in sensitivity, specificity, positive and negative predictive values between PET/CT and the standard procedures are given, respectively. The strategy can also be applied if results obtained with a golden standard are not available in patients in whom both PET/CT and the standard procedure gave negative results. Sample sizes can and should be determined in an adaptive manner.
Conclusions:
Diagnostic studies to assess the merit of PET/CT in the diagnostic work-up of cancer patients can and should start with phase II studies focusing on 95% confidence intervals for differences in diagnostic measures. Even if the gold standard procedure is incomplete, the statistical analysis strategy given here may still be applicable.
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups