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Quality control on digital cancer registration.

Stefano Guzzinati1, Jessica Battagello1, Emanuela Bovo1

  • 1Regional Epidemiology Service, Veneto Cancer Registry (RTV), Azienda Zero, Padova, Italia.

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Summary

Digital processing (DP) in cancer registration shows high accuracy, with registrars' assessments confirming cancer status in over 96% of cases. This study validates DP methods for reliable cancer case recording.

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Area of Science:

  • Epidemiology
  • Public Health
  • Cancer Registration

Background:

  • Population-based cancer registries utilize digital processing (DP) for efficient case recording, adhering to international standards.
  • The Veneto Tumor Registry (RTV) employs registrars' assessments (RAs) to validate approximately 50% of digitally identified cancer cases.

Purpose of the Study:

  • To evaluate the performance and concordance of DP methods against expert RAs in cancer registration at the RTV.
  • To assess the accuracy of DP in determining cancer status (incident vs. prevalent), topography, and morphology.

Main Methods:

  • 1,801 putative cancer cases identified by DP were independently re-assessed by two blinded registrars.
  • Concordance analysis focused on cancer status, topography, and morphology, calculating positive predictive values (PPV) and Cohen's Kappa.

Main Results:

  • High concordance was observed: PPV for incident cancers was 96.1% and for prevalent cancers was 97.5% (Cohen's K = 0.91).
  • The false-positive rate for DP was 2.9%, influenced by the number of available digital variables.
  • Consistency in cancer topography identification between DP and RAs was 88.7%.

Conclusions:

  • DP methods demonstrate optimal performance and reliability for cancer case registration, with only trivial inconsistencies.
  • The accuracy of DP is significantly influenced by the quality of available clinical information and regular interdisciplinary monitoring.