Literature DB >> 19884532

Multimodality screening of high-risk women: a prospective cohort study.

Susan P Weinstein1, A Russell Localio, Emily F Conant, Mark Rosen, Kathleen M Thomas, Mitchell D Schnall.   

Abstract

PURPOSE: Mammography has been established as the primary imaging screening method for breast cancer; however, the sensitivity of mammography is limited, especially in women with dense breast tissue. Given the limitations of mammography, interest has developed in alternative screening techniques. This interest has led to numerous studies reporting mammographically occult breast cancers detected on magnetic resonance imaging (MRI) or ultrasound. In addition, digital mammography was shown to be more sensitive than film mammography in selected populations. Our goal was to prospectively compare cancer detection of digital mammography (DM), whole-breast ultrasound (WBUS), and contrast-enhanced MRI in a high-risk screening population previously screened negative by film screen mammogram (FSM).
METHODS: During a 2-year period, 609 asymptomatic high-risk women with nonactionable FSM examinations presented for a prospective multimodality screening consisting of DM, WBUS, and MRI. The FSM examinations were reinterpreted by study radiologists. Patients had benign or no suspicious findings on clinical examination. The cancer yield by modality was evaluated.
RESULTS: Twenty cancers were diagnosed in 18 patients (nine ductal carcinomas in situ and 11 invasive breast cancers). The overall cancer yield on a per-patient basis was 3.0% (18 of 609 patients). The cancer yield by modality was 1.0% for FSM (six of 597 women), 1.2% for DM (seven of 569 women), 0.53% for WBUS (three of 567 women), and 2.1% for MRI (12 of 571 women). Of the 20 cancers detected, some were only detected on one imaging modality (FSM, n = 1; DM, n = 3; WBUS, n = 1; and MRI, n = 8).
CONCLUSION: The addition of MRI to mammography in the high-risk group has the greatest potential to detect additional mammographically occult cancers. The incremental cancer yield of WBUS and DM is much less.

Entities:  

Mesh:

Year:  2009        PMID: 19884532      PMCID: PMC2793033          DOI: 10.1200/JCO.2009.24.4277

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  18 in total

1.  Report of the Working Groups on Breast MRI: report of the High-Risk Screening Group.

Authors:  Constance D Lehman; Mitchel D Schnall; Christiane K Kuhl; Steven E Harms
Journal:  Breast J       Date:  2004 Sep-Oct       Impact factor: 2.431

2.  Variability in the interpretation of screening mammograms by US radiologists. Findings from a national sample.

Authors:  C A Beam; P M Layde; D C Sullivan
Journal:  Arch Intern Med       Date:  1996-01-22

3.  Screening women at high risk for breast cancer with mammography and magnetic resonance imaging.

Authors:  Constance D Lehman; Jeffrey D Blume; Paul Weatherall; David Thickman; Nola Hylton; Ellen Warner; Etta Pisano; Stuart J Schnitt; Constantine Gatsonis; Mitchell Schnall; Gia A DeAngelis; Paul Stomper; Eric L Rosen; Michael O'Loughlin; Steven Harms; David A Bluemke
Journal:  Cancer       Date:  2005-05-01       Impact factor: 6.860

4.  Diagnostic performance of digital versus film mammography for breast-cancer screening.

Authors:  Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner
Journal:  N Engl J Med       Date:  2005-09-16       Impact factor: 91.245

5.  The Italian multi-centre project on evaluation of MRI and other imaging modalities in early detection of breast cancer in subjects at high genetic risk.

Authors:  F Podo; F Sardanelli; R Canese; G D'Agnolo; P G Natali; M Crecco; M L Grandinetti; R Musumeci; G Trecate; S Bergonzi; T De Simone; C Costa; B Pasini; S Manuokian; G B Spatti; D Vergnaghi; S Morassut; M Boiocchi; R Dolcetti; A Viel; C De Giacomi; A Veronesi; F Coran; V Silingardi; D Turchett; L Cortesi; M De Santis; M Federico; R Romagnoli; S Ferrari; G Bevilacqua; C Bartolozzi; M A Caligo; A Cilotti; C Marini; S Cirillo; V Marra; L Martincich; A Contegiacomo; M Pensabene; I Capuano; G B Burgazzi; A Petrillo; L Bonomo; A Carriero; R Mariani-Costantini; P Battista; A Cama; G Palca; C Di Maggio; E D'Andrea; M Bazzocchi; G E Francescutti; C Zuiani; V Londero; I Zunnui; C Gustavino; M G Centurioni; A Iozzelli; P Panizza; A Del Maschio
Journal:  J Exp Clin Cancer Res       Date:  2002-09

6.  First experiences in screening women at high risk for breast cancer with MR imaging.

Authors:  M M Tilanus-Linthorst; I M Obdeijn; K C Bartels; H J de Koning; M Oudkerk
Journal:  Breast Cancer Res Treat       Date:  2000-09       Impact factor: 4.872

7.  Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS).

Authors:  M O Leach; C R M Boggis; A K Dixon; D F Easton; R A Eeles; D G R Evans; F J Gilbert; I Griebsch; R J C Hoff; P Kessar; S R Lakhani; S M Moss; A Nerurkar; A R Padhani; L J Pointon; D Thompson; R M L Warren
Journal:  Lancet       Date:  2005 May 21-27       Impact factor: 79.321

8.  MRI of occult breast carcinoma in a high-risk population.

Authors:  Elizabeth A Morris; Laura Liberman; Douglas J Ballon; Mark Robson; Andrea F Abramson; Alexandra Heerdt; D David Dershaw
Journal:  AJR Am J Roentgenol       Date:  2003-09       Impact factor: 3.959

9.  Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition.

Authors:  Mieke Kriege; Cecile T M Brekelmans; Carla Boetes; Peter E Besnard; Harmine M Zonderland; Inge Marie Obdeijn; Radu A Manoliu; Theo Kok; Hans Peterse; Madeleine M A Tilanus-Linthorst; Sara H Muller; Sybren Meijer; Jan C Oosterwijk; Louk V A M Beex; Rob A E M Tollenaar; Harry J de Koning; Emiel J T Rutgers; Jan G M Klijn
Journal:  N Engl J Med       Date:  2004-07-29       Impact factor: 91.245

10.  Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and clinical breast examination.

Authors:  Ellen Warner; Donald B Plewes; Kimberley A Hill; Petrina A Causer; Judit T Zubovits; Roberta A Jong; Margaret R Cutrara; Gerrit DeBoer; Martin J Yaffe; Sandra J Messner; Wendy S Meschino; Cameron A Piron; Steven A Narod
Journal:  JAMA       Date:  2004-09-15       Impact factor: 56.272

View more
  33 in total

1.  Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.

Authors:  Shandong Wu; Susan P Weinstein; Emily F Conant; Despina Kontos
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 2.  Breast cancer screening: an evidence-based update.

Authors:  Mackenzie S Fuller; Christoph I Lee; Joann G Elmore
Journal:  Med Clin North Am       Date:  2015-03-05       Impact factor: 5.456

3.  Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.

Authors:  Shandong Wu; Susan P Weinstein; Emily F Conant; Mitchell D Schnall; Despina Kontos
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

4.  Efficacy of Affibody-Based Ultrasound Molecular Imaging of Vascular B7-H3 for Breast Cancer Detection.

Authors:  Rakesh Bam; Patrick S Lown; Lawrence A Stern; Karina Sharma; Katheryne E Wilson; Gregory R Bean; Amelie M Lutz; Ramasamy Paulmurugan; Benjamin J Hackel; Jeremy Dahl; Lotfi Abou-Elkacem
Journal:  Clin Cancer Res       Date:  2020-01-10       Impact factor: 12.531

5.  Association of State Dense Breast Notification Laws With Supplemental Testing and Cancer Detection After Screening Mammography.

Authors:  Susan H Busch; Jessica R Hoag; Jenerius A Aminawung; Xiao Xu; Ilana B Richman; Pamela R Soulos; Kelly A Kyanko; Cary P Gross
Journal:  Am J Public Health       Date:  2019-03-21       Impact factor: 9.308

Review 6.  Identification and Management of Women With BRCA Mutations or Hereditary Predisposition for Breast and Ovarian Cancer.

Authors:  Sandhya Pruthi; Bobbie S Gostout; Noralane M Lindor
Journal:  Mayo Clin Proc       Date:  2010-12       Impact factor: 7.616

Review 7.  Genetic risk assessments in individuals at high risk for inherited breast cancer in the breast oncology care setting.

Authors:  Tuya Pal; Susan T Vadaparampil
Journal:  Cancer Control       Date:  2012-10       Impact factor: 3.302

8.  Earlier detection of breast cancer with ultrasound molecular imaging in a transgenic mouse model.

Authors:  Sunitha V Bachawal; Kristin C Jensen; Amelie M Lutz; Sanjiv S Gambhir; Francois Tranquart; Lu Tian; Jürgen K Willmann
Journal:  Cancer Res       Date:  2013-01-17       Impact factor: 12.701

Review 9.  Breast cancer screening: review of benefits and harms, and recommendations for developing and low-income countries.

Authors:  Meteb Al-Foheidi; Mubarak M Al-Mansour; Ezzeldin M Ibrahim
Journal:  Med Oncol       Date:  2013-02-19       Impact factor: 3.064

10.  Atlas-based probabilistic fibroglandular tissue segmentation in breast MRI.

Authors:  Shandong Wu; Susan Weinstein; Despina Kontos
Journal:  Med Image Comput Comput Assist Interv       Date:  2012
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.