A multiparametric automatic method to monitor long-term reproducibility in digital mammography: results from a regional screening programme

G. Gennaro, A. Ballaminut, G. Contento

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: This study aims to illustrate a multiparametric automatic method for monitoring long-term reproducibility of digital mammography systems, and its application on a large scale. Methods: Twenty-five digital mammography systems employed within a regional screening programme were controlled weekly using the same type of phantom, whose images were analysed by an automatic software tool. To assess system reproducibility levels, 15 image quality indices (IQIs) were extracted and compared with the corresponding indices previously determined by a baseline procedure. The coefficients of variation (COVs) of the IQIs were used to assess the overall variability. Results: A total of 2553 phantom images were collected from the 25 digital mammography systems from March 2013 to December 2014. Most of the systems showed excellent image quality reproducibility over the surveillance interval, with mean variability below 5%. Variability of each IQI was 5%, with the exception of one index associated with the smallest phantom objects (0.25 mm), which was below 10%. Conclusions: The method applied for reproducibility tests—multi-detail phantoms, cloud automatic software tool to measure multiple image quality indices and statistical process control—was proven to be effective and applicable on a large scale and to any type of digital mammography system. Key Points: • Reproducibility of mammography image quality should be monitored by appropriate quality controls. • Use of automatic software tools allows image quality evaluation by multiple indices. • System reproducibility can be assessed comparing current index value with baseline data. • Overall system reproducibility of modern digital mammography systems is excellent. • The method proposed and applied is cost-effective and easily scalable.

Original languageEnglish
Pages (from-to)3776-3787
Number of pages12
JournalEuropean Radiology
Volume27
Issue number9
DOIs
Publication statusPublished - Sep 1 2017

Keywords

  • Breast cancer
  • Mammography
  • Quality control
  • Reproducibility
  • Screening

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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