PET/CT in cancer: Methodological considerations for comparative diagnostic phase II studies with paired binary data

Methods Inf Med. 2008;47(6):470-9.

Abstract

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.

MeSH terms

  • Data Interpretation, Statistical
  • Feasibility Studies
  • Humans
  • Neoplasms / diagnosis*
  • Neoplasms / physiopathology
  • Positron-Emission Tomography*
  • Predictive Value of Tests
  • Sample Size
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed*