Literature DB >> 27138386

Breast cancer screening with digital breast tomosynthesis.

Per Skaane1.   

Abstract

PURPOSE: To give an overview of studies comparing full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) in breast cancer screening.
MATERIALS AND METHODS: The implementation of tomosynthesis in breast imaging is rapidly increasing world-wide. Experimental clinical studies of relevance for DBT screening have shown that tomosynthesis might have a great potential in breast cancer screening, although most of these retrospective reading studies are based on small populations, so that final conclusions are difficult to draw from individual reports. Several retrospective studies and three prospective trials on tomosynthesis in breast cancer screening have been published so far, confirming the great potential of DBT in mammography screening. The main results of these screening studies are presented.
RESULTS: The retrospective screening studies from USA have all shown a significant decrease in the recall rate using DBT as adjunct to mammography. Most of these studies have also shown an increase in the cancer detection rate, and the non-significant results in some studies might be explained by a lack of statistical power. All the three prospective European trials have shown a significant increase in the cancer detection rate.
CONCLUSION: The retrospective and the prospective screening studies comparing FFDM and DBT have all demonstrated that tomosynthesis has a great potential for improving breast cancer screening. DBT should be regarded as a better mammogram that could improve or overcome limitations of the conventional mammography, and tomosynthesis might be considered as the new technique in the next future of breast cancer screening.

Entities:  

Keywords:  Breast cancer screening; Digital breast tomosynthesis; Full-field digital mammography; Mammography screening

Mesh:

Year:  2016        PMID: 27138386     DOI: 10.1007/s12282-016-0699-y

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  16 in total

1.  Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.

Authors:  Alejandro Rodriguez-Ruiz; Kristina Lång; Albert Gubern-Merida; Mireille Broeders; Gisella Gennaro; Paola Clauser; Thomas H Helbich; Margarita Chevalier; Tao Tan; Thomas Mertelmeier; Matthew G Wallis; Ingvar Andersson; Sophia Zackrisson; Ritse M Mann; Ioannis Sechopoulos
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

2.  Advanced Imaging for Precision Medicine in Breast Cancer: From Morphology to Function.

Authors:  Katja Pinker
Journal:  Breast Care (Basel)       Date:  2017-08-29       Impact factor: 2.860

3.  Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis.

Authors:  Benedikt Schaefgen; Joerg Heil; Richard G Barr; Marcus Radicke; Aba Harcos; Christina Gomez; Anne Stieber; André Hennigs; Alexandra von Au; Julia Spratte; Geraldine Rauch; Joachim Rom; Florian Schütz; Christof Sohn; Michael Golatta
Journal:  Eur Radiol       Date:  2018-01-04       Impact factor: 5.315

4.  Breast Biopsy Intensity and Findings Following Breast Cancer Screening in Women With and Without a Personal History of Breast Cancer.

Authors:  Diana S M Buist; Linn Abraham; Christoph I Lee; Janie M Lee; Constance Lehman; Ellen S O'Meara; Natasha K Stout; Louise M Henderson; Deirdre Hill; Karen J Wernli; Jennifer S Haas; Anna N A Tosteson; Karla Kerlikowske; Tracy Onega
Journal:  JAMA Intern Med       Date:  2018-04-01       Impact factor: 21.873

5.  Foveated Model Observers for Visual Search in 3D Medical Images.

Authors:  Miguel A Lago; Craig K Abbey; Miguel P Eckstein
Journal:  IEEE Trans Med Imaging       Date:  2021-03-02       Impact factor: 10.048

Review 6.  High-risk lesions of the breast: concurrent diagnostic tools and management recommendations.

Authors:  Francesca Catanzariti; Daly Avendano; Giuseppe Cicero; Margarita Garza-Montemayor; Carmelo Sofia; Emmanuele Venanzi Rullo; Giorgio Ascenti; Katja Pinker-Domenig; Maria Adele Marino
Journal:  Insights Imaging       Date:  2021-05-26

7.  One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?

Authors:  Alejandro Rodriguez-Ruiz; Albert Gubern-Merida; Mechli Imhof-Tas; Susanne Lardenoije; Alexander J T Wanders; Ingvar Andersson; Sophia Zackrisson; Kristina Lång; Magnus Dustler; Nico Karssemeijer; Ritse M Mann; Ioannis Sechopoulos
Journal:  Eur Radiol       Date:  2017-12-11       Impact factor: 5.315

8.  Availability Versus Utilization of Supplemental Breast Cancer Screening Post Passage of Breast Density Legislation.

Authors:  Mary W Marsh; Thad S Benefield; Sheila Lee; Michael Pritchard; Katie Earnhardt; Robert Agans; Louise M Henderson
Journal:  J Womens Health (Larchmt)       Date:  2020-09-22       Impact factor: 2.681

9.  Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets.

Authors:  Miguel A Lago; Aditya Jonnalagadda; Craig K Abbey; Bruno B Barufaldi; Predrag R Bakic; Andrew D A Maidment; Winifred K Leung; Susan P Weinstein; Brian S Englander; Miguel P Eckstein
Journal:  Curr Biol       Date:  2021-01-19       Impact factor: 10.834

Review 10.  New diagnostic tools for breast cancer.

Authors:  Pascal A T Baltzer; Panagiotis Kapetas; Maria Adele Marino; Paola Clauser
Journal:  Memo       Date:  2017-06-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.