Literature DB >> 32577906

Biennial screening mammography: How many women ask for more? Estimate of the interval mammogram rate in an organised population-based screening programme.

Luca Alessandro Carbonaro1, Sighelgaita Sonia Rizzo1,2, Simone Schiaffino3, Anna Pisani Mainini4, Nicole Berger5, Rubina Manuela Trimboli6, Francesco Sardanelli1,7.   

Abstract

OBJECTIVES: To estimate the interval mammogram rate, i.e. the undertaking of an additional mammography between scheduled screening rounds, and identify factors influencing this phenomenon.
METHODS: Data from our screening programme for the year 2014, excluding prevalent rounds, were analysed. Information about the number of women who underwent  interval mammograms was obtained reviewing the questionnaires and searching the department database. Data on age, breast density, family history of breast cancer, number of screening rounds, previous recalls, general practitioner, and city of residence (used as a proxy of local socio-economic differences) were evaluated using chi-square test.
RESULTS: Of 2780 screened women (incident rounds), 2566 had complete data (92%). The interval mammogram rate was 384/2566 (15%, 95% confidence interval 14-17%). Women classified with American College of Radiology c or d breast density categories showed a higher interval mammography probability than those with a and b density (p < 0.001); women in their second round showed a higher probability of interval mammogram compared to women in their fifth, sixth, or seventh round (p ≤ 0.004). No significant differences were found between women with and without an interval mammogram when considering previous recalls for a negative work-up (p = 0.241), positive breast cancer family history (p = 0.538), and city of residence (p = 0.177).
CONCLUSIONS: The interval mammogram rate was relatively low (15%). Higher breast density and first of years of adherence to the programme were associated with higher interval mammogram rate.

Entities:  

Keywords:  Breast neoplasm; Early detection of cancer; Mammography; Mass screening; Secondary prevention

Year:  2020        PMID: 32577906     DOI: 10.1007/s11547-020-01238-3

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  10 in total

1.  Cost-effectiveness of opportunistic versus organised mammography screening in Switzerland.

Authors:  Rianne de Gelder; Jean-Luc Bulliard; Chris de Wolf; Jacques Fracheboud; Gerrit Draisma; Doris Schopper; Harry J de Koning
Journal:  Eur J Cancer       Date:  2008-11-27       Impact factor: 9.162

2.  Proportional incidence and radiological review of large (T2+) breast cancers as surrogate indicators of screening programme performance.

Authors:  S Ciatto; D Bernardi; M Pellegrini; G Borsato; P Peterlongo; M A Gentilini; F Caumo; A Frigerio; N Houssami
Journal:  Eur Radiol       Date:  2011-12-27       Impact factor: 5.315

Review 3.  Effectiveness and cost-effectiveness of double reading in digital mammography screening: A systematic review and meta-analysis.

Authors:  Margarita Posso; Teresa Puig; Misericòrdia Carles; Montserrat Rué; Carlos Canelo-Aybar; Xavier Bonfill
Journal:  Eur J Radiol       Date:  2017-09-21       Impact factor: 3.528

4.  Are prognostic factors more favorable for breast cancer detected by organized screening than by opportunistic screening or clinical diagnosis? A study in Loire-Atlantique (France).

Authors:  Antoine Vanier; Christophe Leux; Corinne Allioux; Solenne Billon-Delacour; Pierre Lombrail; Florence Molinié
Journal:  Cancer Epidemiol       Date:  2013-07-20       Impact factor: 2.984

5.  Second reading of screening mammograms increases cancer detection and recall rates. Results in the Florence screening programme.

Authors:  S Ciatto; D Ambrogetti; R Bonardi; S Catarzi; G Risso; M Rosselli Del Turco; P Mantellini
Journal:  J Med Screen       Date:  2005       Impact factor: 2.136

6.  Effectiveness of organised versus opportunistic mammography screening.

Authors:  J-L Bulliard; C Ducros; C Jemelin; B Arzel; G Fioretta; F Levi
Journal:  Ann Oncol       Date:  2009-03-12       Impact factor: 32.976

7.  Performance of systematic and non-systematic ('opportunistic') screening mammography: a comparative study from Denmark.

Authors:  Kristine Bihrmann; Allan Jensen; Anne Helene Olsen; Sisse Njor; Walter Schwartz; Ilse Vejborg; Elsebeth Lynge
Journal:  J Med Screen       Date:  2008       Impact factor: 2.136

8.  Cancer screening uptake: association with individual characteristics, geographic distribution, and time trends in Italy.

Authors:  Giuliano Carrozzi; Letizia Sampaolo; Lara Bolognesi; Laura Sardonini; Nicoletta Bertozzi; Paolo Giorgi Rossi; Marco Zappa; Sandro Baldissera; Stefano Campostrini; Gianluigi Ferrante; Maria Masocco; Valentina Minardi; Angelo D'Argenzio; Pirous Fateh Moghadam; Elisa Quarchioni; Mauro Ramigni; Massimo Oddone Trinito; Stefania Salmaso
Journal:  Epidemiol Prev       Date:  2015 May-Jun       Impact factor: 1.901

9.  Breast cancer screening programmes: challenging the coexistence with opportunistic mammography.

Authors:  Samiratou Ouédraogo; Tienhan S Dabakuyo-Yonli; Philippe Amiel; Vincent Dancourt; Agnès Dumas; Patrick Arveux
Journal:  Patient Educ Couns       Date:  2014-09-18

10.  Overuse of mammography during the first round of an organized breast cancer screening programme.

Authors:  Eric Chamot; Agathe Charvet; Thomas V Perneger
Journal:  J Eval Clin Pract       Date:  2009-06-10       Impact factor: 2.431

  10 in total
  2 in total

1.  Breast cancer screening: in the era of personalized medicine, age is just a number.

Authors:  Andrea Cozzi; Simone Schiaffino; Paolo Giorgi Rossi; Francesco Sardanelli
Journal:  Quant Imaging Med Surg       Date:  2020-12

2.  Comparison between two packages for pectoral muscle removal on mammographic images.

Authors:  Mario Sansone; Stefano Marrone; Giusi Di Salvio; Maria Paola Belfiore; Gianluca Gatta; Roberta Fusco; Laura Vanore; Chiara Zuiani; Francesca Grassi; Maria Teresa Vietri; Vincenza Granata; Roberto Grassi
Journal:  Radiol Med       Date:  2022-07-11       Impact factor: 6.313

  2 in total

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