Literature DB >> 26712110

Ultrasound as the Primary Screening Test for Breast Cancer: Analysis From ACRIN 6666.

Wendie A Berg1, Andriy I Bandos2, Ellen B Mendelson2, Daniel Lehrer2, Roberta A Jong2, Etta D Pisano2.   

Abstract

BACKGROUND: Mammography is not widely available in all countries, and breast cancer incidence is increasing. We considered performance characteristics using ultrasound (US) instead of mammography to screen for breast cancer.
METHODS: Two thousand eight hundred nine participants were enrolled at 20 sites in the United States, Canada, and Argentina in American College of Radiology Imaging 6666. Two thousand six hundred sixty-two participants completed three annual screens (7473 examinations) with US and film-screen (n = 4351) or digital (n = 3122) mammography and had biopsy or 12-month follow-up. Cancer detection, recall, and positive predictive values were determined. All statistical tests were two-sided.
RESULTS: One hundred ten women had 111 breast cancer events: 89 (80.2%) invasive cancers, median size 12 mm. The number of US screens to detect one cancer was 129 (95% bootstrap confidence interval [CI] = 110 to 156), and for mammography 127 (95% CI = 109 to 152). Cancer detection was comparable for each of US and mammography at 58 of 111 (52.3%) vs 59 of 111 (53.2%, P = .90), with US-detected cancers more likely invasive (53/58, 91.4%, median size 12 mm, range = 2-40 mm), vs mammography at 41 of 59 (69.5%, median size 13 mm, range = 1-55 mm, P < .001). Invasive cancers detected by US were more frequently node-negative, 34 of 53 (64.2%) vs 18 of 41 (43.9%) by mammography (P = .003). For 4814 incidence screens (years 2 and 3), US had higher recall and biopsy rates and lower PPV of biopsy (PPV3) than mammography: The recall rate was 10.7% (n = 515) vs 9.4% (n = 453, P = .03), the biopsy rate was 5.5% (n = 266) vs 2.0% (n = 97, P < .001), and PPV3 was 11.7% (31/266) vs 38.1% (37/97, P < .001).
CONCLUSIONS: Cancer detection rate with US is comparable with mammography, with a greater proportion of invasive and node-negative cancers among US detections. False positives are more common with US screening.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2015        PMID: 26712110      PMCID: PMC5943835          DOI: 10.1093/jnci/djv367

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  38 in total

1.  The Swedish Two-County Trial twenty years later. Updated mortality results and new insights from long-term follow-up.

Authors:  L Tabár; B Vitak; H H Chen; S W Duffy; M F Yen; C F Chiang; U B Krusemo; T Tot; R A Smith
Journal:  Radiol Clin North Am       Date:  2000-07       Impact factor: 2.303

Review 2.  Technologist-performed handheld screening breast US imaging: how is it performed and what are the outcomes to date?

Authors:  Wendie A Berg; Ellen B Mendelson
Journal:  Radiology       Date:  2014-07       Impact factor: 11.105

3.  Training and standards for performance, interpretation, and structured reporting for supplemental breast cancer screening.

Authors:  Ellen B Mendelson; Wendie A Berg
Journal:  AJR Am J Roentgenol       Date:  2015-02       Impact factor: 3.959

4.  Effect of age and breast density on screening mammograms with false-positive findings.

Authors:  C D Lehman; E White; S Peacock; M J Drucker; N Urban
Journal:  AJR Am J Roentgenol       Date:  1999-12       Impact factor: 3.959

5.  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

6.  Palpable presentation of breast cancer persists in the era of screening mammography.

Authors:  Kellie L Mathis; Tanya L Hoskin; Judy C Boughey; Brian S Crownhart; Kathy R Brandt; Celine M Vachon; Clive S Grant; Amy C Degnim
Journal:  J Am Coll Surg       Date:  2010-03       Impact factor: 6.113

7.  Global cancer transitions according to the Human Development Index (2008-2030): a population-based study.

Authors:  Freddie Bray; Ahmedin Jemal; Nathan Grey; Jacques Ferlay; David Forman
Journal:  Lancet Oncol       Date:  2012-06-01       Impact factor: 41.316

8.  Accuracy and value of breast ultrasound for primary imaging evaluation of symptomatic women 30-39 years of age.

Authors:  Constance D Lehman; Christoph I Lee; Vilert A Loving; Michael S Portillo; Sue Peacock; Wendy B DeMartini
Journal:  AJR Am J Roentgenol       Date:  2012-11       Impact factor: 3.959

Review 9.  A systematic assessment of benefits and risks to guide breast cancer screening decisions.

Authors:  Lydia E Pace; Nancy L Keating
Journal:  JAMA       Date:  2014-04-02       Impact factor: 56.272

10.  How accurate is ultrasound in evaluating palpable breast masses?

Authors:  Mubuuke Aloysius Gonzaga
Journal:  Pan Afr Med J       Date:  2010-09-02
View more
  64 in total

1.  Robust Short-Lag Spatial Coherence Imaging of Breast Ultrasound Data: Initial Clinical Results.

Authors:  Alycen Wiacek; Ole Marius Hoel Rindal; Eniola Falomo; Kelly Myers; Kelly Fabrega-Foster; Susan Harvey; Muyinatu A Lediju Bell
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-11-27       Impact factor: 2.725

2.  Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

Authors:  Xuejun Qian; Jing Pei; Hui Zheng; Xinxin Xie; Lin Yan; Hao Zhang; Chunguang Han; Xiang Gao; Hanqi Zhang; Weiwei Zheng; Qiang Sun; Lu Lu; K Kirk Shung
Journal:  Nat Biomed Eng       Date:  2021-04-19       Impact factor: 25.671

3.  Does patient age affect the PPV3 of ACR BI-RADS Ultrasound categories 4 and 5 in the diagnostic setting?

Authors:  Yue Hu; Yaping Yang; Ran Gu; Liang Jin; Shiyu Shen; Fengtao Liu; Hongli Wang; Jingsi Mei; Xiaofang Jiang; Qiang Liu; Fengxi Su
Journal:  Eur Radiol       Date:  2018-01-04       Impact factor: 5.315

4.  3D Supine Automated Ultrasound (SAUS, ABUS, ABVS) for Supplemental Screening Women with Dense Breasts.

Authors:  Alexander Mundinger
Journal:  J Breast Health       Date:  2016-04-01

Review 5.  Quality assurance of ultrasound systems: current status and review of literature.

Authors:  H Grazhdani; E David; O Ventura Spagnolo; F Buemi; A Perri; N Orsogna; S Gigli; R Chimenz
Journal:  J Ultrasound       Date:  2018-06-14

6.  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

7.  Supplemental Breast Cancer Screening in Women With Dense Breasts Should Be Offered With Simultaneous Collection of Outcomes Data.

Authors:  Wendie A Berg
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

8.  A computer-assisted system for handheld whole-breast ultrasonography.

Authors:  Filip Šroubek; Michal Bartoš; Jan Schier; Zuzana Bílková; Barbara Zitová; Jan Vydra; Iva Macová; Jan Daneš; Lukáš Lambert
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-01-23       Impact factor: 2.924

9.  Synthetic aperture ultrasound imaging with a ring transducer array: preliminary ex vivo results.

Authors:  Xiaolei Qu; Takashi Azuma; Takeshi Yogi; Shiho Azuma; Hideki Takeuchi; Satoshi Tamano; Shu Takagi
Journal:  J Med Ultrason (2001)       Date:  2016-06-14       Impact factor: 1.314

10.  Correlation of Strain Elastography with Conventional Sonography and FNAC/Biopsy.

Authors:  Ramona Menezes; Sanjay Sardessai; Renny Furtado; Mahesh Sardessai
Journal:  J Clin Diagn Res       Date:  2016-07-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.