P Whelehan1, S H Heywang-Köbrunner2, S J Vinnicombe3, A Hacker2, A Jänsch2, A Hapca3, R Gray4, M Jenkin5, K Lowry6, R Oeppen7, M Reilly8, M Stahnke7, A Evans3. 1. School of Medicine, University of Dundee, Mailbox 4, Ninewells Hospital & Medical School, Dundee, DD1 9SY, UK. Electronic address: p.j.whelehan@dundee.ac.uk. 2. Referenzzentrum Mammographie München und Brustdiagnostik München, Sonnenstraße 29, 80331 München, Germany. 3. School of Medicine, University of Dundee, Mailbox 4, Ninewells Hospital & Medical School, Dundee, DD1 9SY, UK. 4. Royal Cornwall Hospital, Truro, UK. 5. Derriford Hospital, Plymouth, UK. 6. Belfast City Hospital, UK. 7. University Hospital, Southampton, UK. 8. Altnagelvin Hospital, Londonderry, UK.
Abstract
AIM: To compare the diagnostic accuracy of standard screening images plus single-view digital breast tomosynthesis (DBT), using Siemens DBT equipment, with standard screening images plus supplementary mammographic views in non-calcific, screen-detected mammographic abnormalities. MATERIALS AND METHODS: Participants were unselected women aged 50-69 years recalled within a population-based European breast screening programme for assessment of soft-tissue mammographic abnormalities. Supplementary mammographic views (SMVs) and DBT were performed in all cases. A range of equipment was used for screening and supplementary mammography, but all DBT examinations were performed using the Siemens Mammomat Inspiration. A retrospective multi-reader study including 238 cases for whom either histology or at least 2 years' follow-up was available was performed with eight suitably accredited UK breast screening personnel reading all cases under both conditions, with temporal separation. Readers were blinded to case outcomes and findings from other examinations. Diagnostic accuracy using receiver operating characteristic (ROC) analysis was compared between screening plus SMV images and screening plus DBT images. The study was powered to detect a 3% inferiority margin in diagnostic accuracy between methods. RESULTS: The final sample with complete data available for analysis included 195 benign cases (1,560 reads) and 35 malignant cases (280 reads). The DBT method yielded a slightly higher area under the curve (AUC) value than the SMV method (0.870 versus 0.857), but the difference was not statistically significant (p=0.4890), indicating that the methods have equivalent accuracy. CONCLUSION: Siemens DBT demonstrates equivalent diagnostic accuracy according to ROC curve analysis when used in place of SMVs in screen-detected soft-tissue mammographic abnormalities.
AIM: To compare the diagnostic accuracy of standard screening images plus single-view digital breast tomosynthesis (DBT), using Siemens DBT equipment, with standard screening images plus supplementary mammographic views in non-calcific, screen-detected mammographic abnormalities. MATERIALS AND METHODS:Participants were unselected women aged 50-69 years recalled within a population-based European breast screening programme for assessment of soft-tissue mammographic abnormalities. Supplementary mammographic views (SMVs) and DBT were performed in all cases. A range of equipment was used for screening and supplementary mammography, but all DBT examinations were performed using the Siemens Mammomat Inspiration. A retrospective multi-reader study including 238 cases for whom either histology or at least 2 years' follow-up was available was performed with eight suitably accredited UK breast screening personnel reading all cases under both conditions, with temporal separation. Readers were blinded to case outcomes and findings from other examinations. Diagnostic accuracy using receiver operating characteristic (ROC) analysis was compared between screening plus SMV images and screening plus DBT images. The study was powered to detect a 3% inferiority margin in diagnostic accuracy between methods. RESULTS: The final sample with complete data available for analysis included 195 benign cases (1,560 reads) and 35 malignant cases (280 reads). The DBT method yielded a slightly higher area under the curve (AUC) value than the SMV method (0.870 versus 0.857), but the difference was not statistically significant (p=0.4890), indicating that the methods have equivalent accuracy. CONCLUSION: Siemens DBT demonstrates equivalent diagnostic accuracy according to ROC curve analysis when used in place of SMVs in screen-detected soft-tissue mammographic abnormalities.
Authors: S Mall; J Noakes; M Kossoff; W Lee; M McKessar; A Goy; J Duncombe; M Roberts; B Giuffre; A Miller; N Bhola; C Kapoor; C Shearman; G DaCosta; S Choi; J Sterba; M Kay; K Bruderlin; N Winarta; K Donohue; B Macdonell-Scott; F Klijnsma; K Suzuki; P Brennan; C Mello-Thoms Journal: Eur Radiol Date: 2018-05-30 Impact factor: 5.315
Authors: Sylvia Heywang-Köbrunner; Alexander Jaensch; Astrid Hacker; Sabina Wulz-Horber; Thomas Mertelmeier; Dieter Hölzel Journal: Breast Care (Basel) Date: 2017-04-20 Impact factor: 2.860
Authors: Carlos Canelo-Aybar; Lourdes Carrera; Jessica Beltrán; Margarita Posso; David Rigau; Annette Lebeau; Axel Gräwingholt; Xavier Castells; Miranda Langendam; Elsa Pérez; Paolo Giorgi Rossi; Ruben Van Engen; Elena Parmelli; Zuleika Saz-Parkinson; Pablo Alonso-Coello Journal: Cancer Med Date: 2021-03-05 Impact factor: 4.452