Literature DB >> 23623721

Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.

Stefano Ciatto1, Nehmat Houssami, Daniela Bernardi, Francesca Caumo, Marco Pellegrini, Silvia Brunelli, Paola Tuttobene, Paola Bricolo, Carmine Fantò, Marvi Valentini, Stefania Montemezzi, Petra Macaskill.   

Abstract

BACKGROUND: Digital breast tomosynthesis with 3D images might overcome some of the limitations of conventional 2D mammography for detection of breast cancer. We investigated the effect of integrated 2D and 3D mammography in population breast-cancer screening.
METHODS: Screening with Tomosynthesis OR standard Mammography (STORM) was a prospective comparative study. We recruited asymptomatic women aged 48 years or older who attended population-based breast-cancer screening through the Trento and Verona screening services (Italy) from August, 2011, to June, 2012. We did screen-reading in two sequential phases-2D only and integrated 2D and 3D mammography-yielding paired data for each screen. Standard double-reading by breast radiologists determined whether to recall the participant based on positive mammography at either screen read. Outcomes were measured from final assessment or excision histology. Primary outcome measures were the number of detected cancers, the number of detected cancers per 1000 screens, the number and proportion of false positive recalls, and incremental cancer detection attributable to integrated 2D and 3D mammography. We compared paired binary data with McNemar's test.
FINDINGS: 7292 women were screened (median age 58 years [IQR 54-63]). We detected 59 breast cancers (including 52 invasive cancers) in 57 women. Both 2D and integrated 2D and 3D screening detected 39 cancers. We detected 20 cancers with integrated 2D and 3D only versus none with 2D screening only (p<0.0001). Cancer detection rates were 5.3 cancers per 1000 screens (95% CI 3.8-7.3) for 2D only, and 8.1 cancers per 1000 screens (6.2-10.4) for integrated 2D and 3D screening. The incremental cancer detection rate attributable to integrated 2D and 3D mammography was 2.7 cancers per 1000 screens (1.7-4.2). 395 screens (5.5%; 95% CI 5.0-6.0) resulted in false positive recalls: 181 at both screen reads, and 141 with 2D only versus 73 with integrated 2D and 3D screening (p<0.0001). We estimated that conditional recall (positive integrated 2D and 3D mammography as a condition to recall) could have reduced false positive recalls by 17.2% (95% CI 13.6-21.3) without missing any of the cancers detected in the study population.
INTERPRETATION: Integrated 2D and 3D mammography improves breast-cancer detection and has the potential to reduce false positive recalls. Randomised controlled trials are needed to compare integrated 2D and 3D mammography with 2D mammography for breast cancer screening. FUNDING: National Breast Cancer Foundation, Australia; National Health and Medical Research Council, Australia; Hologic, USA; Technologic, Italy.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23623721     DOI: 10.1016/S1470-2045(13)70134-7

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  166 in total

1.  Digital breast tomosynthesis: computer-aided detection of clustered microcalcifications on planar projection images.

Authors:  Ravi K Samala; Heang-Ping Chan; Yao Lu; Lubomir M Hadjiiski; Jun Wei; Mark A Helvie
Journal:  Phys Med Biol       Date:  2014-11-13       Impact factor: 3.609

2.  Listening to Women: Expectations and Experiences in Breast Imaging.

Authors:  Susan Harvey; Aimee M Gallagher; Martha Nolan; Christine M Hughes
Journal:  J Womens Health (Larchmt)       Date:  2015-09       Impact factor: 2.681

3.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

4.  Assessment of MRI-detected lesions on screening tomosynthesis in patients with newly diagnosed breast cancer.

Authors:  Sadia Choudhery; Eric Polley; Amy Lynn Conners
Journal:  Clin Imaging       Date:  2019-11-11       Impact factor: 1.605

5.  BI-RADS Category 3 Comparison: Probably Benign Category after Recall from Screening before and after Implementation of Digital Breast Tomosynthesis.

Authors:  Elizabeth S McDonald; Anne Marie McCarthy; Susan P Weinstein; Mitchell D Schnall; Emily F Conant
Journal:  Radiology       Date:  2017-07-17       Impact factor: 11.105

6.  Differences in breast density assessment using mammography, tomosynthesis and MRI and their implications for practice.

Authors:  A Tagliafico; G Tagliafico; N Houssami
Journal:  Br J Radiol       Date:  2013-10-28       Impact factor: 3.039

7.  X-ray phase-contrast imaging of the breast--advances towards clinical implementation.

Authors:  S D Auweter; J Herzen; M Willner; S Grandl; K Scherer; F Bamberg; M F Reiser; F Pfeiffer; K Hellerhoff
Journal:  Br J Radiol       Date:  2014-02       Impact factor: 3.039

8.  Tomosynthesis-guided vacuum-assisted breast biopsy: A feasibility study.

Authors:  Christian Waldherr; Gilles Berclaz; Hans Jörg Altermatt; Peter Cerny; Patrik Keller; Uwe Dietz; Katharina Buser; Michele Ciriolo; Martin Josef Sonnenschein
Journal:  Eur Radiol       Date:  2015-09-18       Impact factor: 5.315

9.  Mammography Screening - as of 2013.

Authors:  S Heywang-Koebrunner; K Bock; W Heindel; G Hecht; L Regitz-Jedermann; A Hacker; V Kaeaeb-Sanyal
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-10       Impact factor: 2.915

Review 10.  Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.

Authors:  Krzysztof J Geras; Ritse M Mann; Linda Moy
Journal:  Radiology       Date:  2019-09-24       Impact factor: 11.105

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