Literature DB >> 25599513

The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme--a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone.

Fiona J Gilbert1, Lorraine Tucker1, Maureen Gc Gillan2, Paula Willsher1, Julie Cooke3, Karen A Duncan4, Michael J Michell5, Hilary M Dobson6, Yit Yoong Lim7, Hema Purushothaman8, Celia Strudley9, Susan M Astley10, Oliver Morrish11, Kenneth C Young9, Stephen W Duffy12.   

Abstract

BACKGROUND: Digital breast tomosynthesis (DBT) is a three-dimensional mammography technique with the potential to improve accuracy by improving differentiation between malignant and non-malignant lesions.
OBJECTIVES: The objectives of the study were to compare the diagnostic accuracy of DBT in conjunction with two-dimensional (2D) mammography or synthetic 2D mammography, against standard 2D mammography and to determine if DBT improves the accuracy of detection of different types of lesions. STUDY POPULATION: Women (aged 47-73 years) recalled for further assessment after routine breast screening and women (aged 40-49 years) with moderate/high of risk of developing breast cancer attending annual mammography screening were recruited after giving written informed consent. INTERVENTION: All participants underwent a two-view 2D mammography of both breasts and two-view DBT imaging. Image-processing software generated a synthetic 2D mammogram from the DBT data sets. RETROSPECTIVE READING STUDY: In an independent blinded retrospective study, readers reviewed (1) 2D or (2) 2D + DBT or (3) synthetic 2D + DBT images for each case without access to original screening mammograms or prior examinations. Sensitivities and specificities were calculated for each reading arm and by subgroup analyses.
RESULTS: Data were available for 7060 subjects comprising 6020 (1158 cancers) assessment cases and 1040 (two cancers) family history screening cases. Overall sensitivity was 87% [95% confidence interval (CI) 85% to 89%] for 2D only, 89% (95% CI 87% to 91%) for 2D + DBT and 88% (95% CI 86% to 90%) for synthetic 2D + DBT. The difference in sensitivity between 2D and 2D + DBT was of borderline significance (p = 0.07) and for synthetic 2D + DBT there was no significant difference (p = 0.6). Specificity was 58% (95% CI 56% to 60%) for 2D, 69% (95% CI 67% to 71%) for 2D + DBT and 71% (95% CI 69% to 73%) for synthetic 2D + DBT. Specificity was significantly higher in both DBT reading arms for all subgroups of age, density and dominant radiological feature (p < 0.001 all cases). In all reading arms, specificity tended to be lower for microcalcifications and higher for distortion/asymmetry. Comparing 2D + DBT to 2D alone, sensitivity was significantly higher: 93% versus 86% (p < 0.001) for invasive tumours of size 11-20 mm. Similarly, for breast density 50% or more, sensitivities were 93% versus 86% (p = 0.03); for grade 2 invasive tumours, sensitivities were 91% versus 87% (p = 0.01); where the dominant radiological feature was a mass, sensitivities were 92% and 89% (p = 0.04) For synthetic 2D + DBT, there was significantly (p = 0.006) higher sensitivity than 2D alone in invasive cancers of size 11-20 mm, with a sensitivity of 91%.
CONCLUSIONS: The specificity of DBT and 2D was better than 2D alone but there was only marginal improvement in sensitivity. The performance of synthetic 2D appeared to be comparable to standard 2D. If these results were observed with screening cases, DBT and 2D mammography could benefit to the screening programme by reducing the number of women recalled unnecessarily, especially if a synthetic 2D mammogram were used to minimise radiation exposure. Further research is required into the feasibility of implementing DBT in a screening setting, prognostic modelling on outcomes and mortality, and comparison of 2D and synthetic 2D for different lesion types. STUDY REGISTRATION: Current Controlled Trials ISRCTN73467396. FUNDING: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 19, No. 4. See the HTA programme website for further project information.

Entities:  

Mesh:

Year:  2015        PMID: 25599513      PMCID: PMC4781321          DOI: 10.3310/hta19040

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  30 in total

1.  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

Review 2.  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

3.  Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program.

Authors:  Samantha P Zuckerman; Emily F Conant; Brad M Keller; Andrew D A Maidment; Bruno Barufaldi; Susan P Weinstein; Marie Synnestvedt; Elizabeth S McDonald
Journal:  Radiology       Date:  2016-07-28       Impact factor: 11.105

4.  Prospective study aiming to compare 2D mammography and tomosynthesis + synthesized mammography in terms of cancer detection and recall. From double reading of 2D mammography to single reading of tomosynthesis.

Authors:  Sara Romero Martín; Jose Luis Raya Povedano; María Cara García; Ana Luz Santos Romero; Margarita Pedrosa Garriguet; Marina Álvarez Benito
Journal:  Eur Radiol       Date:  2018-01-02       Impact factor: 5.315

5.  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

6.  Verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applications.

Authors:  Liesbeth Vancoillie; Nicholas Marshall; Lesley Cockmartin; Janne Vignero; Guozhi Zhang; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-22

7.  Digital breast tomosynthesis at screening assessment: are two views always necessary?

Authors:  Rabea Haq; Yit Y Lim; Anthony J Maxwell; Emma Hurley; Ursula Beetles; Sara Bundred; Mary Wilson; Susan Astley; Fiona J Gilbert
Journal:  Br J Radiol       Date:  2015-09-16       Impact factor: 3.039

Review 8.  Implications of Overdiagnosis: Impact on Screening Mammography Practices.

Authors:  Elizabeth Morris; Stephen A Feig; Madeline Drexler; Constance Lehman
Journal:  Popul Health Manag       Date:  2015-09       Impact factor: 2.459

Review 9.  Strategies to Increase Cancer Detection: Review of True-Positive and False-Negative Results at Digital Breast Tomosynthesis Screening.

Authors:  Katrina E Korhonen; Susan P Weinstein; Elizabeth S McDonald; Emily F Conant
Journal:  Radiographics       Date:  2016-10-07       Impact factor: 5.333

10.  Accuracy of GE digital breast tomosynthesis vs supplementary mammographic views for diagnosis of screen-detected soft-tissue breast lesions.

Authors:  Eleanor J Cornford; Anne E Turnbull; Jonathan J James; Rachel Tsang; Tayeba Akram; Helen C Burrell; Lisa J Hamilton; Sarah L Tennant; Mark J Bagnall; Shama Puri; Graham R Ball; Yan Chen; Vivienne Jones
Journal:  Br J Radiol       Date:  2015-11-11       Impact factor: 3.039

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