Literature DB >> 9616416

Effect of mammographic breast density on breast cancer screening performance: a study in Nijmegen, The Netherlands.

C H van Gils1, J D Otten, A L Verbeek, J H Hendriks, R Holland.   

Abstract

STUDY
OBJECTIVE: To study the implications of breast density on mammographic screening performance.
DESIGN: Screening outcomes of women with dense breast patterns were compared with those of women with lucent breast patterns (dense > 25% densities, lucent < or = 25% densities); the women were screened in different periods (before/after improvement of the mammographic technique in 1982).
SETTING: Nijmegen, the Netherlands, 1977-1994. PARTICIPANTS: Between 1977 and 1994, 73,525 repeat screenings were performed in 19,152 participants (aged 50-69 years) in the Nijmegen breast cancer screening programme (repeat screenings were defined as mammographic examinations that were preceded by an examination in the previous screening round). Participants were screened biennially with mammography. There were 258 screen detected and 145 interval cancers. MAIN
RESULTS: Before 1982 (rounds 2-4) the predictive value of a positive screening test (PV+) was lower in women with dense breasts than in those with lucent breasts (dense 29% v lucent 52%, p = 0.003). Also, the ratio of screen detected cancers to the total number of screen detected plus interval cancers (as a proxy for sensitivity) was lower in this group (based on a one year interval: dense 63% v lucent 92%, p = 0.001 and based on a two year interval: dense 41% v lucent 68%, p = 0.002). Moreover, the survival rate was less favourable for those with dense breasts (p = 0.07). In rounds 5-10, there were no important differences with respect to PV+ (dense 66% v lucent 62%, p = 0.57) or survival (p = 0.48). Moreover, sensitivity based on a one year interval was nearly as high in women with dense breasts as in those with lucent breasts (85% v 86%, p = 0.75). However, based on a two year interval sensitivity was lower (dense 59% v lucent 72%, p = 0.04).
CONCLUSIONS: In the early screening years (rounds 2-4) high breast density had an unfavourable effect on screening performance. Nowadays, the situation has improved with respect to PV+, survival and detecting tumours in dense breasts with a lead time of up to one year, but little improvement has occurred in the detection of tumours with a lead time greater than one year.

Entities:  

Mesh:

Year:  1998        PMID: 9616416      PMCID: PMC1756693          DOI: 10.1136/jech.52.4.267

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  23 in total

1.  Canadian National Breast Screening Study: assessment of technical quality by external review.

Authors:  C J Baines; A B Miller; D B Kopans; M Moskowitz; D E Sanders; E A Sickles; T To; C Wall
Journal:  AJR Am J Roentgenol       Date:  1990-10       Impact factor: 3.959

2.  Long term breast cancer screening in Nijmegen, The Netherlands: the nine rounds from 1975-92.

Authors:  J D Otten; J A van Dijck; P G Peer; H Straatman; A L Verbeek; M Mravunac; J H Hendriks; R Holland
Journal:  J Epidemiol Community Health       Date:  1996-06       Impact factor: 3.710

3.  Edinburgh trial of screening for breast cancer: mortality at seven years.

Authors:  M M Roberts; F E Alexander; T J Anderson; U Chetty; P T Donnan; P Forrest; W Hepburn; A Huggins; A E Kirkpatrick; J Lamb
Journal:  Lancet       Date:  1990-02-03       Impact factor: 79.321

4.  Correlation between breast parenchymal patterns and mammographers' certainty of diagnosis.

Authors:  L L Fajardo; B J Hillman; C Frey
Journal:  Invest Radiol       Date:  1988-07       Impact factor: 6.016

Review 5.  Mammographic parenchymal patterns and breast cancer risk.

Authors:  A F Saftlas; M Szklo
Journal:  Epidemiol Rev       Date:  1987       Impact factor: 6.222

6.  Risk factors for breast cancer by mode of diagnosis: some results from a breast cancer screening study.

Authors:  J Whitehead; J Cooper
Journal:  J Epidemiol Community Health       Date:  1989-06       Impact factor: 3.710

7.  Analysis of clinically occult and mammographically occult breast tumors.

Authors:  S A Feig; G S Shaber; A Patchefsky; G F Schwartz; J Edeiken; H I Libshitz; R Nerlinger; R F Curley; J D Wallace
Journal:  AJR Am J Roentgenol       Date:  1977-03       Impact factor: 3.959

8.  Mammographic screening and mortality from breast cancer: the Malmö mammographic screening trial.

Authors:  I Andersson; K Aspegren; L Janzon; T Landberg; K Lindholm; F Linell; O Ljungberg; J Ranstam; B Sigfússon
Journal:  BMJ       Date:  1988-10-15

9.  Mammographically occult breast cancer. A pathologic and radiologic study.

Authors:  R Holland; J H Hendriks; M Mravunac
Journal:  Cancer       Date:  1983-11-15       Impact factor: 6.860

10.  The predictive value of positive test results in screening for breast cancer by mammography in the Nijmegen programme.

Authors:  P H Peeters; A L Verbeek; J H Hendriks; R Holland; M Mravunac
Journal:  Br J Cancer       Date:  1987-11       Impact factor: 7.640

View more
  16 in total

1.  Receiver operating characteristic analysis for the detection of simulated microcalcifications on mammograms using hardcopy images.

Authors:  Chao-Jen Lai; Chris C Shaw; Gary J Whitman; Wei T Yang; Peter J Dempsey; Victoria Nguyen; Mary F Ice
Journal:  Phys Med Biol       Date:  2006-07-26       Impact factor: 3.609

2.  The ACR BI-RADS experience: learning from history.

Authors:  Elizabeth S Burnside; Edward A Sickles; Lawrence W Bassett; Daniel L Rubin; Carol H Lee; Debra M Ikeda; Ellen B Mendelson; Pamela A Wilcox; Priscilla F Butler; Carl J D'Orsi
Journal:  J Am Coll Radiol       Date:  2009-12       Impact factor: 5.532

3.  Relationship between mammographic density and breast cancer death in the Breast Cancer Surveillance Consortium.

Authors:  Gretchen L Gierach; Laura Ichikawa; Karla Kerlikowske; Louise A Brinton; Ghada N Farhat; Pamela M Vacek; Donald L Weaver; Catherine Schairer; Stephen H Taplin; Mark E Sherman
Journal:  J Natl Cancer Inst       Date:  2012-08-21       Impact factor: 13.506

4.  Diagnostic utility of combined ultrasonography and mammography in the evaluation of women with mammographically dense breasts.

Authors:  C De Felice; S Savelli; M Angeletti; L Ballesio; L Manganaro; M L Meggiorini; L M Porfiri
Journal:  J Ultrasound       Date:  2007-07-26

5.  Women's response to state-mandated language in dense breast notification.

Authors:  Lucy B Spalluto; Christianne L Roumie; Kemberlee R Bonnett; David G Schlundt; Carolynn M DeBenedectis; Consuelo H Wilkins
Journal:  Breast J       Date:  2018-09-25       Impact factor: 2.431

6.  Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.

Authors:  Jeffrey A Tice; Steven R Cummings; Rebecca Smith-Bindman; Laura Ichikawa; William E Barlow; Karla Kerlikowske
Journal:  Ann Intern Med       Date:  2008-03-04       Impact factor: 25.391

7.  Influence of Menstrual Cycle Timing on Screening Breast MRI Background Parenchymal Enhancement and Diagnostic Performance in Premenopausal Women.

Authors:  Brian N Dontchos; Habib Rahbar; Savannah C Partridge; Constance D Lehman; Wendy B DeMartini
Journal:  J Breast Imaging       Date:  2019-06-11

Review 8.  Epidemiology of breast cancer in older women: implications for future healthcare.

Authors:  A J Alberg; S Singh
Journal:  Drugs Aging       Date:  2001       Impact factor: 4.271

9.  Breast ultrasound diagnostic performance and outcomes for mass lesions using Breast Imaging Reporting and Data System category 0 mammogram.

Authors:  Paulo Almazy Zanello; Andre Felipe Cica Robim; Tatiane Mendes Gonçalves de Oliveira; Jorge Elias Junior; Jurandyr Moreira de Andrade; Carlos Ribeiro Monteiro; Joaquim Moraes Sarmento Filho; Helio Humberto Angotti Carrara; Valdair Francisco Muglia
Journal:  Clinics (Sao Paulo)       Date:  2011       Impact factor: 2.365

10.  Geographic variation in volumetric breast density between screening regions in the Netherlands.

Authors:  Daniëlle van der Waal; Marleen J Emaus; Marije F Bakker; Gerard J den Heeten; Nico Karssemeijer; Ruud M Pijnappel; Wouter B Veldhuis; André L M Verbeek; Carla H van Gils; Mireille J M Broeders
Journal:  Eur Radiol       Date:  2015-07-03       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.