Literature DB >> 19359176

Quality of mammography screening in the Milan programme: evidence of improved sensitivity based on interval cancer proportional incidence and radiological review.

Pirola Maria Elena1, Houssami Nehmat, Maltagliati Ermes, Ceresa Piera, Quattrocchi Maria, Marinoni Guia, Caimi Francesco, Villa Roberto, Falda Giovanni, Gaffuri Isabella, Ciatto Stefano.   

Abstract

BACKGROUND: Interval cancer (IC) incidence and review-based initial evaluation of Milan service screening (ASLMI1) suggested suboptimal performance. We report results in a subsequent screening round to further determine screening quality.
METHODS: IC was identified in subjects with a negative screening episode in 2005 (N=33,258) by linkage with 2005-2007 Hospital Discharge Records. IC proportional incidence-based sensitivity was estimated. Radiological review, with case-mix, was conducted in a blinded manner. Linkage and review modalities were maintained as for initial evaluation.
RESULTS: 30 identified IC accounted for 6.99% (year 1), 27.84% (year 2), and overall 17.44% (2-year screening interval) proportional incidence. Estimated sensitivity was 93.01% (year 1), 72.16% (year 2) and 82.55% (2-year interval). Review classified 5 (16.6%) as screening error, 2 (6.7%) as minimal signs, and 23 (76.7%) as occult.
CONCLUSION: Programme sensitivity is now within recommended European standards. Performance indicators improved relative to initial evaluation. Both increasing experience and formal training of radiologists are likely to have contributed to this improvement.

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Year:  2009        PMID: 19359176     DOI: 10.1016/j.breast.2009.03.004

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  3 in total

1.  Analysis of proportional incidence and review of interval cancer cases observed within the mammography screening programme in Trento province, Italy.

Authors:  M Pellegrini; D Bernardi; S Di Michele; P Tuttobene; C Fantò; M Valentini; P Peterlongo; F Caumo; A Frigerio; S Ciatto
Journal:  Radiol Med       Date:  2011-07-09       Impact factor: 3.469

2.  Estimating Cancer Screening Sensitivity and Specificity Using Healthcare Utilization Data: Defining the Accuracy Assessment Interval.

Authors:  Jessica Chubak; Andrea N Burnett-Hartman; William E Barlow; Douglas A Corley; Jennifer M Croswell; Christine Neslund-Dudas; Anil Vachani; Michelle I Silver; Jasmin A Tiro; Aruna Kamineni
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-08-02       Impact factor: 4.090

3.  The epidemiology, radiology and biological characteristics of interval breast cancers in population mammography screening.

Authors:  Nehmat Houssami; Kylie Hunter
Journal:  NPJ Breast Cancer       Date:  2017-04-13
  3 in total

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