Literature DB >> 24275518

Impact of the transition from screen-film to digital screening mammography on interval cancer characteristics and treatment - a population based study from the Netherlands.

Joost Nederend1, Lucien E M Duijm2, Marieke W J Louwman3, Jan Willem Coebergh3, Rudi M H Roumen4, Paul N Lohle5, Jan A Roukema6, Matthieu J C M Rutten7, Liza N van Steenbergen3, Miranda F Ernst8, Frits H Jansen9, Menno L Plaisier10, Marianne J H H Hooijen11, Adri C Voogd12.   

Abstract

INTRODUCTION: In most breast screening programmes screen-film mammography (SFM) has been replaced by full-field digital mammography (FFDM). We compared interval cancer characteristics at SFM and FFDM screening mammography. PATIENTS AND METHODS: We included all 297 screen-detected and 104 interval cancers in 60,770 SFM examinations and 427 screen-detected and 124 interval cancers in 63,182 FFDM examinations, in women screened in the period 2008-2010. Breast imaging reports, biopsy results and surgical reports of all cancers were collected. Two radiologists reviewed prior and diagnostic mammograms of all interval cancers. They determined breast density, described mammographic abnormalities and classified interval cancers as missed, showing a minimal sign abnormality or true negative.
RESULTS: The referral rate and cancer detection at SFM were 1.5% and 4.9‰ respectively, compared to 3.0% (p<0.001) and 6.6‰ (p<0.001) at FFDM. Screening sensitivity was 74.1% at SFM (297/401, 95% confidence interval (CI)=69.8-78.4%) and 77.5% at FFDM (427/551, 95% CI=74.0-81.0%). Significantly more interval cancers were true negative at prior FFDM than at prior SFM screening mammography (65.3% (81/124) versus 47.1% (49/104), p=0.02). For interval cancers following SFM or FFDM screening mammography, no significant differences were observed in breast density or mammographic abnormalities at the prior screen, tumour size, lymph node status, receptor status, Nottingham tumour grade or surgical treatment (mastectomy versus breast conserving therapy).
CONCLUSION: FFDM resulted in a significantly higher cancer detection rate, but sensitivity was similar for SFM and FFDM. Interval cancers are more likely to be true negative at prior FFDM than at prior SFM screening mammography, whereas their tumour characteristics and type of surgical treatment are comparable.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Digital mammography; Interval cancer; Referral rate; Screening mammography; Sensitivity

Mesh:

Year:  2013        PMID: 24275518     DOI: 10.1016/j.ejca.2013.09.018

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  18 in total

1.  Impact of the Introduction of Digital Mammography in an Organized Screening Program on the Recall and Detection Rate.

Authors:  Cinzia Campari; Paolo Giorgi Rossi; Carlo Alberto Mori; Sara Ravaioli; Andrea Nitrosi; Rita Vacondio; Pamela Mancuso; Antonella Cattani; Pierpaolo Pattacini
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

2.  Value of audits in breast cancer screening quality assurance programmes.

Authors:  Tanya D Geertse; Roland Holland; Janine M H Timmers; Ellen Paap; Ruud M Pijnappel; Mireille J M Broeders; Gerard J den Heeten
Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

3.  Breast Cancer Characteristics Associated With Digital Versus Film-Screen Mammography for Screen-Detected and Interval Cancers.

Authors:  Louise M Henderson; Diana L Miglioretti; Karla Kerlikowske; Karen J Wernli; Brian L Sprague; Constance D Lehman
Journal:  AJR Am J Roentgenol       Date:  2015-09       Impact factor: 3.959

4.  Identifying women with dense breasts at high risk for interval cancer: a cohort study.

Authors:  Karla Kerlikowske; Weiwei Zhu; Anna N A Tosteson; Brian L Sprague; Jeffrey A Tice; Constance D Lehman; Diana L Miglioretti
Journal:  Ann Intern Med       Date:  2015-05-19       Impact factor: 25.391

5.  Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.

Authors:  Xun Zhu; Thomas K Wolfgruber; Lambert Leong; Matthew Jensen; Christopher Scott; Stacey Winham; Peter Sadowski; Celine Vachon; Karla Kerlikowske; John A Shepherd
Journal:  Radiology       Date:  2021-09-07       Impact factor: 11.105

6.  Screening outcome in women repeatedly recalled for the same mammographic abnormality before, during and after the transition from screen-film to full-field digital screening mammography.

Authors:  Rob van Bommel; Adri C Voogd; Marieke W Louwman; Luc J Strobbe; Dick Venderink; Lucien E M Duijm
Journal:  Eur Radiol       Date:  2016-05-14       Impact factor: 5.315

7.  Primary Care Provider Experience with Breast Density Legislation in Massachusetts.

Authors:  Christine M Gunn; Nancy R Kressin; Kristina Cooper; Cinthya Marturano; Karen M Freund; Tracy A Battaglia
Journal:  J Womens Health (Larchmt)       Date:  2018-01-17       Impact factor: 2.681

8.  Interval breast cancer rates for digital breast tomosynthesis versus digital mammography population screening: An individual participant data meta-analysis.

Authors:  Nehmat Houssami; Solveig Hofvind; Anne L Soerensen; Kristy P Robledo; Kylie Hunter; Daniela Bernardi; Kristina Lång; Kristin Johnson; Camilla F Aglen; Sophia Zackrisson
Journal:  EClinicalMedicine       Date:  2021-03-20

9.  Does digital mammography suppose an advance in early diagnosis? Trends in performance indicators 6 years after digitalization.

Authors:  Maria Sala; Laia Domingo; Francesc Macià; Mercè Comas; Andrea Burón; Xavier Castells
Journal:  Eur Radiol       Date:  2014-09-26       Impact factor: 5.315

10.  Digital vs screen-film mammography in population-based breast cancer screening: performance indicators and tumour characteristics of screen-detected and interval cancers.

Authors:  Linda de Munck; Geertruida H de Bock; Renée Otter; Dick Reiding; Mireille Jm Broeders; Pax Hb Willemse; Sabine Siesling
Journal:  Br J Cancer       Date:  2016-08-04       Impact factor: 7.640

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