Literature DB >> 28643094

Accuracy and reading time for six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts.

Alberto Stefano Tagliafico1,2, Massimo Calabrese3, Bianca Bignotti4, Alessio Signori4, Erica Fisci4, Federica Rossi4, Francesca Valdora5, Nehmat Houssami6.   

Abstract

OBJECTIVE: To compare six strategies using digital breast tomosynthesis in women with mammographically negative dense breasts.
MATERIALS AND METHODS: This is a substudy of the 'ASTOUND' trial. 163 women who underwent tomosynthesis with synthetically reconstructed projection images (S-2D) inclusive of 13 (7.9%) cases diagnosed with breast cancer at histopathology after surgery were evaluated. Accuracy measures and screen-reading time of six reading strategies were assessed: (A) Single reading of S-2D alone, (B) single reading of tomosynthesis alone, (C) single reading of joint interpretation of tomosynthesis + S-2D, (D) double-reading of S-2D alone, (E) double reading of tomosynthesis alone, (F) double reading of joint interpretation of tomosynthesis + S-2D.
RESULTS: The median age of the patients was 53 years (range, 36-88 years). The highest global accuracy was obtained with double reading of tomosynthesis + S2D (F) with an AUC of 0.979 (p<0.001) and a mean reading time of 154 s versus 34 s for the fastest strategy (single reading of S-2D alone). The AUCs for the other five strategies did not differ from each other.
CONCLUSION: Double reading of tomosynthesis+ S2D had the best accuracy of six screen-reading strategies although it had the longest reading time. KEY POINTS: • Tomosynthesis acquisitions are progressively implemented with reconstructed synthesized 2D images • Double reading using S-2D plus tomosynthesis had the highest global accuracy (p<0.001). • Double reading of S-2D plus tomosynthesis increased reading time.

Entities:  

Keywords:  Accuracy; Breast density; Dense breasts; Digital Breast Tomosynthesis; Reading time

Mesh:

Year:  2017        PMID: 28643094     DOI: 10.1007/s00330-017-4918-5

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  23 in total

1.  Breast cancer detection using single-reading of breast tomosynthesis (3D-mammography) compared to double-reading of 2D-mammography: Evidence from a population-based trial.

Authors:  Nehmat Houssami; Daniela Bernardi; Marco Pellegrini; Marvi Valentini; Carmine Fantò; Livio Ostillio; Paolina Tuttobene; Andrea Luparia; Petra Macaskill
Journal:  Cancer Epidemiol       Date:  2017-02-11       Impact factor: 2.984

2.  Digital breast tomosynthesis might not be the optimal modality for detecting microcalcification.

Authors:  Alberto Tagliafico; Nehmat Houssami
Journal:  Radiology       Date:  2015-05       Impact factor: 11.105

3.  Breast-cancer screening--viewpoint of the IARC Working Group.

Authors:  Béatrice Lauby-Secretan; Chiara Scoccianti; Dana Loomis; Lamia Benbrahim-Tallaa; Véronique Bouvard; Franca Bianchini; Kurt Straif
Journal:  N Engl J Med       Date:  2015-06-03       Impact factor: 91.245

4.  Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement.

Authors:  Albert L Siu
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

5.  One-to-one comparison between digital spot compression view and digital breast tomosynthesis.

Authors:  Alberto Tagliafico; Davide Astengo; Francesca Cavagnetto; Raffaella Rosasco; Giuseppe Rescinito; Francesco Monetti; Massimo Calabrese
Journal:  Eur Radiol       Date:  2011-10-11       Impact factor: 5.315

6.  Screening outcomes following implementation of digital breast tomosynthesis in a general-population screening program.

Authors:  Anne Marie McCarthy; Despina Kontos; Marie Synnestvedt; Kay See Tan; Daniel F Heitjan; Mitchell Schnall; Emily F Conant
Journal:  J Natl Cancer Inst       Date:  2014-10-13       Impact factor: 13.506

7.  Comparison of tomosynthesis plus digital mammography and digital mammography alone for breast cancer screening.

Authors:  Brian M Haas; Vivek Kalra; Jaime Geisel; Madhavi Raghu; Melissa Durand; Liane E Philpotts
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

8.  Adjunct Screening With Tomosynthesis or Ultrasound in Women With Mammography-Negative Dense Breasts: Interim Report of a Prospective Comparative Trial.

Authors:  Alberto S Tagliafico; Massimo Calabrese; Giovanna Mariscotti; Manuela Durando; Simona Tosto; Francesco Monetti; Sonia Airaldi; Bianca Bignotti; Jacopo Nori; Antonella Bagni; Alessio Signori; Maria Pia Sormani; Nehmat Houssami
Journal:  J Clin Oncol       Date:  2016-03-09       Impact factor: 44.544

9.  Characterisation of microcalcification clusters on 2D digital mammography (FFDM) and digital breast tomosynthesis (DBT): does DBT underestimate microcalcification clusters? Results of a multicentre study.

Authors:  Alberto Tagliafico; Giovanna Mariscotti; Manuela Durando; Carmen Stevanin; Giulio Tagliafico; Lucia Martino; Bianca Bignotti; Massimo Calabrese; Nehmat Houssami
Journal:  Eur Radiol       Date:  2014-08-29       Impact factor: 5.315

10.  Prospective trial comparing full-field digital mammography (FFDM) versus combined FFDM and tomosynthesis in a population-based screening programme using independent double reading with arbitration.

Authors:  Per Skaane; Andriy I Bandos; Randi Gullien; Ellen B Eben; Ulrika Ekseth; Unni Haakenaasen; Mina Izadi; Ingvild N Jebsen; Gunnar Jahr; Mona Krager; Solveig Hofvind
Journal:  Eur Radiol       Date:  2013-04-04       Impact factor: 5.315

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  8 in total

Review 1.  Double reading in breast cancer screening: considerations for policy-making.

Authors:  Sian Taylor-Phillips; Chris Stinton
Journal:  Br J Radiol       Date:  2019-10-23       Impact factor: 3.039

Review 2.  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

3.  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

4.  Influence of Tumor Subtype, Radiological Sign and Prognostic Factors on Tumor Size Discrepancies Between Digital Breast Tomosynthesis and Final Histology.

Authors:  Alessandro Garlaschi; Massimo Calabrese; Federico Zaottini; Simona Tosto; Marco Gipponi; Paola Baccini; Maurizio Gallo; Alberto Stefano Tagliafico
Journal:  Cureus       Date:  2019-10-31

5.  Mass Detection and Segmentation in Digital Breast Tomosynthesis Using 3D-Mask Region-Based Convolutional Neural Network: A Comparative Analysis.

Authors:  Ming Fan; Huizhong Zheng; Shuo Zheng; Chao You; Yajia Gu; Xin Gao; Weijun Peng; Lihua Li
Journal:  Front Mol Biosci       Date:  2020-11-11

6.  Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis.

Authors:  Jinwoo Son; Si Eun Lee; Eun-Kyung Kim; Sungwon Kim
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

7.  Image Quality Comparison between Digital Breast Tomosynthesis Images and 2D Mammographic Images Using the CDMAM Test Object.

Authors:  Ioannis A Tsalafoutas; Angeliki C Epistatou; Konstantinos K Delibasis
Journal:  J Imaging       Date:  2022-08-21

8.  Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs.

Authors:  Ana M Mota; Matthew J Clarkson; Pedro Almeida; Nuno Matela
Journal:  J Imaging       Date:  2022-08-29
  8 in total

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