PURPOSE: The authors sought to assess interobserver agreement in classifying mammography density according to quantitative Breast Imaging Reporting and Data System (BI-RADS) criteria. MATERIALS AND METHODS: Six expert mammography readers were tested on a set of 100 mammograms. Interobserver agreement was determined according to the kappa statistic, adjusting for chance agreement, on a four-category (D1 vs. D2 vs. D3 vs. D4) or two-category (D1-2 vs. D3-4) basis. Agreement with a panel of 12 readers who had been tested on the same set in a previous study was also assessed. RESULTS: The six readers showed good agreement when compared in pairs [agreement on a four-category basis was substantial (kappa=0.60-0.80) for 13 pairs and almost perfect (kappa>0.80) for two pairs); agreement on a two-category basis was substantial for 12 pairs and almost perfect for three pairs) or compared with the panel (on a four-category basis, agreement was substantial for five of six readers and almost perfect for one; on a two-category basis, agreement was substantial for all readers). CONCLUSIONS: In agreement with previous studies, visual classification of mammography density according to BI-RADS quantitative criteria was highly reproducible among readers; nevertheless, attribution to the "dense breast" (BI-RADS D3-4) category, which might be adopted as a determinant of different screening protocols (such as adjunct ultrasonography or yearly interval) varied among readers (range 6-15%). Controlled studies should be performed comparing visual with computer-density category attribution, the latter possibly being a better alternative due to its absolute reproducibility.
PURPOSE: The authors sought to assess interobserver agreement in classifying mammography density according to quantitative Breast Imaging Reporting and Data System (BI-RADS) criteria. MATERIALS AND METHODS: Six expert mammography readers were tested on a set of 100 mammograms. Interobserver agreement was determined according to the kappa statistic, adjusting for chance agreement, on a four-category (D1 vs. D2 vs. D3 vs. D4) or two-category (D1-2 vs. D3-4) basis. Agreement with a panel of 12 readers who had been tested on the same set in a previous study was also assessed. RESULTS: The six readers showed good agreement when compared in pairs [agreement on a four-category basis was substantial (kappa=0.60-0.80) for 13 pairs and almost perfect (kappa>0.80) for two pairs); agreement on a two-category basis was substantial for 12 pairs and almost perfect for three pairs) or compared with the panel (on a four-category basis, agreement was substantial for five of six readers and almost perfect for one; on a two-category basis, agreement was substantial for all readers). CONCLUSIONS: In agreement with previous studies, visual classification of mammography density according to BI-RADS quantitative criteria was highly reproducible among readers; nevertheless, attribution to the "dense breast" (BI-RADS D3-4) category, which might be adopted as a determinant of different screening protocols (such as adjunct ultrasonography or yearly interval) varied among readers (range 6-15%). Controlled studies should be performed comparing visual with computer-density category attribution, the latter possibly being a better alternative due to its absolute reproducibility.
Authors: S Ciatto; N Houssami; A Apruzzese; E Bassetti; B Brancato; F Carozzi; S Catarzi; M P Lamberini; G Marcelli; R Pellizzoni; B Pesce; G Risso; F Russo; A Scorsolini Journal: Breast Date: 2005-08 Impact factor: 4.380
Authors: Etta D Pisano; Constantine Gatsonis; Edward Hendrick; Martin Yaffe; Janet K Baum; Suddhasatta Acharyya; Emily F Conant; Laurie L Fajardo; Lawrence Bassett; Carl D'Orsi; Roberta Jong; Murray Rebner Journal: N Engl J Med Date: 2005-09-16 Impact factor: 91.245
Authors: Ernest U Ekpo; Mark F McEntee; Mary Rickard; Patrick C Brennan; Jyotsna Kunduri; Delgermaa Demchig; Claudia Mello-Thoms Journal: Br J Radiol Date: 2016-02-16 Impact factor: 3.039
Authors: Daniela Sacchetto; Lia Morra; Silvano Agliozzo; Daniela Bernardi; Tomas Björklund; Beniamino Brancato; Patrizia Bravetti; Luca A Carbonaro; Loredana Correale; Carmen Fantò; Elisabetta Favettini; Laura Martincich; Luisella Milanesio; Sara Mombelloni; Francesco Monetti; Doralba Morrone; Marco Pellegrini; Barbara Pesce; Antonella Petrillo; Gianni Saguatti; Carmen Stevanin; Rubina M Trimboli; Paola Tuttobene; Marvi Valentini; Vincenzo Marra; Alfonso Frigerio; Alberto Bert; Francesco Sardanelli Journal: Eur Radiol Date: 2015-05-01 Impact factor: 5.315
Authors: Daniëlle van der Waal; Gerard J den Heeten; Ruud M Pijnappel; Klaas H Schuur; Johanna M H Timmers; André L M Verbeek; Mireille J M Broeders Journal: PLoS One Date: 2015-09-03 Impact factor: 3.240