Literature DB >> 29328943

Interval breast cancers in the 'screening with tomosynthesis or standard mammography' (STORM) population-based trial.

Nehmat Houssami1, Daniela Bernardi2, Francesca Caumo3, Silvia Brunelli4, Carmine Fantò2, Marvi Valentini2, Giovanna Romanucci4, Maria A Gentilini5, Manuel Zorzi6, Petra Macaskill7.   

Abstract

BACKGROUND &
METHODS: The prospective 'screening with tomosynthesis or standard mammography' (STORM) trial recruited women participating in biennial breast screening in Italy (2011-2012), and compared sequential screen-readings based on 2D-mammography alone or based on tomosynthesis (integrated 2D/3D-mammography). The STORM trial showed that tomosynthesis screen-reading significantly increased breast cancer detection compared to 2D-mammography alone. The present study completes reporting of the trial by examining interval breast cancers ascertained at two year follow-up.
RESULTS: 9 interval breast cancers were identified; the estimated interval cancer rate was 1.23/1000 screens [9/7292] (95%CI 0.56 to 2.34) or 1.24/1000 negative screens [9/7235] (95%CI 0.57 to 2.36). In concurrently screened women who attended the same screening services and received 2D-mammography, interval cancer rate was 1.60/1000 screens [40/25,058] (95% CI 1.14 to 2.17) or 1.61/1000 negative screens [40/24,922] (95% CI 1.15 to 2.18). Estimated screening sensitivity for the STORM trial was 85.5% [59/69] (95%CI 75.0%-92.8%), and that for 2D-mammography screening was 77.3% [136/176] (95%CI 70.4%-83.2%).
CONCLUSION: Interval breast cancer rate amongst screening participants in the STORM trial was marginally lower (and screening sensitivity higher) than estimates amongst 2D-screened women; these findings should be interpreted with caution given the small number of interval cases and the sample size of the trial. Much larger screening studies, or pooled analyses, are required to examine interval cancer rates arising after breast tomosynthesis screening versus digital mammography screening.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Digital breast tomosynthesis; Interval breast cancer; Mammography; Population screening; Sensitivity

Mesh:

Year:  2018        PMID: 29328943     DOI: 10.1016/j.breast.2018.01.002

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  12 in total

Review 1.  Digital Breast Tomosynthesis: Concepts and Clinical Practice.

Authors:  Alice Chong; Susan P Weinstein; Elizabeth S McDonald; Emily F Conant
Journal:  Radiology       Date:  2019-05-14       Impact factor: 11.105

2.  Cost-effectiveness of Digital Breast Tomosynthesis in Population-based Breast Cancer Screening: A Probabilistic Sensitivity Analysis.

Authors:  Valérie D V Sankatsing; Karolina Juraniec; Sabine E Grimm; Manuela A Joore; Ruud M Pijnappel; Harry J de Koning; Nicolien T van Ravesteyn
Journal:  Radiology       Date:  2020-08-04       Impact factor: 11.105

3.  Five Consecutive Years of Screening with Digital Breast Tomosynthesis: Outcomes by Screening Year and Round.

Authors:  Emily F Conant; Samantha P Zuckerman; Elizabeth S McDonald; Susan P Weinstein; Katrina E Korhonen; Julia A Birnbaum; Jennifer D Tobey; Mitchell D Schnall; Rebecca A Hubbard
Journal:  Radiology       Date:  2020-03-10       Impact factor: 11.105

4.  Association of Digital Breast Tomosynthesis vs Digital Mammography With Cancer Detection and Recall Rates by Age and Breast Density.

Authors:  Emily F Conant; William E Barlow; Sally D Herschorn; Donald L Weaver; Elisabeth F Beaber; Anna N A Tosteson; Jennifer S Haas; Kathryn P Lowry; Natasha K Stout; Amy Trentham-Dietz; Roberta M diFlorio-Alexander; Christopher I Li; Mitchell D Schnall; Tracy Onega; Brian L Sprague
Journal:  JAMA Oncol       Date:  2019-05-01       Impact factor: 31.777

5.  Interval breast cancer rates for digital breast tomosynthesis versus digital mammography population screening: An individual participant data meta-analysis.

Authors:  Nehmat Houssami; Solveig Hofvind; Anne L Soerensen; Kristy P Robledo; Kylie Hunter; Daniela Bernardi; Kristina Lång; Kristin Johnson; Camilla F Aglen; Sophia Zackrisson
Journal:  EClinicalMedicine       Date:  2021-03-20

6.  Can artificial intelligence reduce the interval cancer rate in mammography screening?

Authors:  Kristina Lång; Solveig Hofvind; Alejandro Rodríguez-Ruiz; Ingvar Andersson
Journal:  Eur Radiol       Date:  2021-01-23       Impact factor: 5.315

7.  Effect of implementing digital breast tomosynthesis (DBT) instead of mammography on population screening outcomes including interval cancer rates: Results of the Trento DBT pilot evaluation.

Authors:  Daniela Bernardi; Maria A Gentilini; Martina De Nisi; Marco Pellegrini; Carmine Fantò; Marvi Valentini; Vincenzo Sabatino; Andrea Luparia; Nehmat Houssami
Journal:  Breast       Date:  2019-09-30       Impact factor: 4.380

8.  A randomized controlled trial of digital breast tomosynthesis versus digital mammography in population-based screening in Bergen: interim analysis of performance indicators from the To-Be trial.

Authors:  Hildegunn S Aase; Åsne S Holen; Kristin Pedersen; Nehmat Houssami; Ingfrid S Haldorsen; Sofie Sebuødegård; Berit Hanestad; Solveig Hofvind
Journal:  Eur Radiol       Date:  2018-08-29       Impact factor: 5.315

9.  Digital breast tomosynthesis plus synthesised images versus standard full-field digital mammography in population-based screening (TOSYMA): protocol of a randomised controlled trial.

Authors:  Stefanie Weigel; Joachim Gerss; Hans-Werner Hense; Miriam Krischke; Alexander Sommer; Jörg Czwoydzinski; Horst Lenzen; Laura Kerschke; Karin Spieker; Stefanie Dickmaenken; Sonja Baier; Marc Urban; Gerold Hecht; Oliver Heidinger; Joachim Kieschke; Walter Heindel
Journal:  BMJ Open       Date:  2018-05-14       Impact factor: 2.692

10.  Breast cancers missed during screening in a tertiary-care hospital mammography facility.

Authors:  Khawaja Bilal Waheed; Muhammad Zia Ul Hassan; Donya Al Hassan; Alaa Ali Ghaithan Al Shamrani; Muneera Al Bassam; Ahmed Aly Elbyali; Tamer Mohamed Shams; Zainab Ahmed Demiati; Zechriah Jebakumar Arulanatham
Journal:  Ann Saudi Med       Date:  2019-08-05       Impact factor: 1.526

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