Literature DB >> 33372954

Performance of Digital Breast Tomosynthesis, Synthetic Mammography, and Digital Mammography in Breast Cancer Screening: A Systematic Review and Meta-Analysis.

Mostafa Alabousi1, Akshay Wadera1, Mohammed Kashif Al-Ghita2, Rayeh Kashef Al-Ghetaa3, Jean-Paul Salameh4, Alex Pozdnyakov5, Nanxi Zha1, Lucy Samoilov1, Anahita Dehmoobad Sharifabadi1, Behnam Sadeghirad6, Vivianne Freitas7, Matthew Df McInnes8, Abdullah Alabousi9.   

Abstract

BACKGROUND: Our objective was to perform a systematic review and meta-analysis comparing the breast cancer detection rate (CDR), invasive CDR, recall rate, and positive predictive value 1 (PPV1) of digital mammography (DM) alone, combined digital breast tomosynthesis (DBT) and DM, combined DBT and synthetic 2-dimensional mammography (S2D), and DBT alone.
METHODS: MEDLINE and Embase were searched until April 2020 to identify comparative design studies reporting on patients undergoing routine breast cancer screening. Random effects model proportional meta-analyses estimated CDR, invasive CDR, recall rate, and PPV1. Meta-regression modeling was used to compare imaging modalities. All statistical tests were 2-sided.
RESULTS: Forty-two studies reporting on 2 606 296 patients (13 003 breast cancer cases) were included. CDR was highest in combined DBT and DM (6.36 per 1000 screened, 95% confidence interval [CI] = 5.62 to 7.14, P < .001), and combined DBT and S2D (7.40 per 1000 screened, 95% CI = 6.49 to 8.37, P < .001) compared with DM alone (4.68 per 1000 screened, 95% CI = 4.28 to 5.11). Invasive CDR was highest in combined DBT and DM (4.53 per 1000 screened, 95% CI = 3.97 to 5.12, P = .003) and combined DBT and S2D (5.68 per 1000 screened, 95% CI = 4.43 to 7.09, P < .001) compared with DM alone (3.42 per 1000 screened, 95% CI = 3.02 to 3.83). Recall rate was lowest in combined DBT and S2D (42.3 per 1000 screened, 95% CI = 37.4 to 60.4, P<.001). PPV1 was highest in combined DBT and DM (10.0%, 95% CI = 8.0% to 12.0%, P = .004), and combined DBT and S2D (16.0%, 95% CI = 10.0% to 23.0%, P < .001), whereas no difference was detected for DBT alone (7.0%, 95% CI = 6.0% to 8.0%, P = .75) compared with DM alone (7.0%, 95.0% CI = 5.0% to 8.0%).
CONCLUSIONS: Our findings provide evidence on key performance metrics for DM, DBT alone, combined DBT and DM, and combined DBT and S2D, which may inform optimal application of these modalities for breast cancer screening.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2021        PMID: 33372954      PMCID: PMC8168096          DOI: 10.1093/jnci/djaa205

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


  65 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Comparison Between Digital and Synthetic 2D Mammograms in Breast Density Interpretation.

Authors:  Taghreed I Alshafeiy; Antoine Wadih; Brandi T Nicholson; Carrie M Rochman; Heather R Peppard; James T Patrie; Jennifer A Harvey
Journal:  AJR Am J Roentgenol       Date:  2017-05-15       Impact factor: 3.959

3.  Synthesized Mammography: The New Standard of Care When Screening for Breast Cancer with Digital Breast Tomosynthesis?

Authors:  Emily B Ambinder; Susan C Harvey; Babita Panigrahi; Ximin Li; Ryan W Woods
Journal:  Acad Radiol       Date:  2018-02-01       Impact factor: 3.173

4.  Radiation dose with digital breast tomosynthesis compared to digital mammography: per-view analysis.

Authors:  Gisella Gennaro; D Bernardi; N Houssami
Journal:  Eur Radiol       Date:  2017-08-17       Impact factor: 5.315

5.  Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Digital Mammography: Evaluation in a Population-based Screening Program.

Authors:  Solveig Hofvind; Tone Hovda; Åsne S Holen; Christoph I Lee; Judy Albertsen; Hilde Bjørndal; Siri H B Brandal; Randi Gullien; Jon Lømo; Daehoon Park; Linda Romundstad; Pål Suhrke; Einar Vigeland; Per Skaane
Journal:  Radiology       Date:  2018-03-01       Impact factor: 11.105

6.  Comparison of Resource Utilization and Clinical Outcomes Following Screening with Digital Breast Tomosynthesis Versus Digital Mammography: Findings From a Learning Health System.

Authors:  Nila H Alsheik; Firas Dabbous; Scott K Pohlman; Kathleen M Troeger; Richard E Gliklich; Gregory M Donadio; Zhaohui Su; Vandana Menon; Emily F Conant
Journal:  Acad Radiol       Date:  2018-07-26       Impact factor: 3.173

7.  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.

Authors:  Fiona J Gilbert; Lorraine Tucker; Maureen Gc Gillan; Paula Willsher; Julie Cooke; Karen A Duncan; Michael J Michell; Hilary M Dobson; Yit Yoong Lim; Hema Purushothaman; Celia Strudley; Susan M Astley; Oliver Morrish; Kenneth C Young; Stephen W Duffy
Journal:  Health Technol Assess       Date:  2015-01       Impact factor: 4.014

8.  Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening Population.

Authors:  Mireille P Aujero; Sara C Gavenonis; Ron Benjamin; Zugui Zhang; Jacqueline S Holt
Journal:  Radiology       Date:  2017-02-21       Impact factor: 11.105

9.  Interval and Consecutive Round Breast Cancer after Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Standard 2D Digital Mammography in BreastScreen Norway.

Authors:  Tone Hovda; Åsne S Holen; Kristina Lång; Judy Lynn Albertsen; Hilde Bjørndal; Siri H B Brandal; Kristine Kleivi Sahlberg; Per Skaane; Pål Suhrke; Solveig Hofvind
Journal:  Radiology       Date:  2019-12-10       Impact factor: 11.105

10.  Baseline Screening Mammography: Performance of Full-Field Digital Mammography Versus Digital Breast Tomosynthesis.

Authors:  Elizabeth S McDonald; Anne Marie McCarthy; Amana L Akhtar; Marie B Synnestvedt; Mitchell Schnall; Emily F Conant
Journal:  AJR Am J Roentgenol       Date:  2015-11       Impact factor: 3.959

View more
  4 in total

1.  Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.

Authors:  Takayoshi Uematsu; Kazuaki Nakashima; Taiyo Leopoldo Harada; Hatsuko Nasu; Tatsuya Igarashi
Journal:  Breast Cancer       Date:  2022-08-24       Impact factor: 3.307

Review 2.  AGO Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2022.

Authors:  Nina Ditsch; Achim Wöcke; Michael Untch; Christian Jackisch; Ute-Susann Albert; Maggie Banys-Paluchowski; Ingo Bauerfeind; Jens-Uwe Blohmer; Wilfried Budach; Peter Dall; Eva Maria Fallenberg; Peter A Fasching; Tanja N Fehm; Michael Friedrich; Bernd Gerber; Oleg Gluz; Nadia Harbeck; Jörg Heil; Jens Huober; Hans H Kreipe; David Krug; Thorsten Kühn; Sherko Kümmel; Cornelia Kolberg-Liedtke; Sibylle Loibl; Diana Lüftner; Michael Patrick Lux; Nicolai Maass; Christoph Mundhenke; Ulrike Nitz; Tjoung-Won Park-Simon; Toralf Reimer; Kerstin Rhiem; Achim Rody; Marcus Schmidt; Andreas Schneeweiss; Florian Schütz; Hans-Peter Sinn; Christine Solbach; Erich-Franz Solomayer; Elmar Stickeler; Christoph Thomssen; Isabell Witzel; Volkmar Müller; Wolfgang Janni; Marc Thill
Journal:  Breast Care (Basel)       Date:  2022-05-05       Impact factor: 2.268

3.  Keeping Pace With Technology Advances in Breast Cancer Screening: Synthetic 2D Images Outperform Digital Mammography.

Authors:  Joann G Elmore; Christoph I Lee
Journal:  J Natl Cancer Inst       Date:  2021-06-01       Impact factor: 13.506

Review 4.  AGO Recommendations for the Diagnosis and Treatment of Patients with Early Breast Cancer: Update 2021.

Authors:  Nina Ditsch; Cornelia Kolberg-Liedtke; Michael Friedrich; Christian Jackisch; Ute-Susann Albert; Maggie Banys-Paluchowski; Ingo Bauerfeind; Jens-Uwe Blohmer; Wilfried Budach; Peter Dall; Eva M Fallenberg; Peter A Fasching; Tanja Fehm; Bernd Gerber; Oleg Gluz; Nadia Harbeck; Jörg Heil; Jens Huober; Hans-Heinrich Kreipe; David Krug; Thorsten Kühn; Sherko Kümmel; Sibylle Loibl; Diana Lüftner; Michael P Lux; Nicolai Maass; Christoph Mundhenke; Ulrike Nitz; Tjoung-Won Park-Simon; Toralf Reimer; Kerstin Rhiem; Achim Rody; Marcus Schmidt; Andreas Schneeweiss; Florian Schütz; Hans-Peter Sinn; Christine Solbach; Erich-Franz Solomayer; Elmar Stickeler; Christoph Thomssen; Michael Untch; Isabell Witzel; Achim Wöckel; Volkmar Müller; Wolfgang Janni; Marc Thill
Journal:  Breast Care (Basel)       Date:  2021-06-01       Impact factor: 2.268

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.