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Mammographic density estimation: one-to-one comparison of digital mammography and digital breast tomosynthesis using fully automated software.
MedLine Citation:
PMID:  22358426     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVE: To compare breast density on digital mammography and digital breast tomosynthesis using fully automated software. METHODS: Following institutional approval and written informed consent from all participating women, both digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM) were obtained. Breast percentage density was calculated with software on DBT and FFDM. RESULTS: Fifty consecutive patients (mean age, 51 years; range, 35-83 years) underwent both FFDM and DBT. Using a method based on the integral curve, breast density showed higher results on FFDM (68.1 ± 12.1 for FFDM and 51.9 ± 6.5 for DBT). FFDM overestimated breast density in 16.2% (P < 0.0001). Using a method based on maximum entropy thresholding, breast density showed higher results on FFDM (68.1 ± 12.1 for FFDM and 51.9 ± 6.5 for DBT). FFDM overestimated breast density in 11.4% (P < 0.0001). There was a good correlation among BI-RADS categories on a four-grade scale and the density evaluated with DBT and FFDM (r = 0.54, P < 0.01 and r = 0.44, P < 0.01). CONCLUSION: Breast density appeared to be significantly underestimated on digital breast tomosynthesis. KEY POINTS: Breast density is considered to be an independent risk factor for cancer Density can be assessed on full-field digital mammography and digital breast tomosynthesis Objective automated estimation of breast density eliminates subjectivity Automated estimation is more accurate than BI-RADS quantitative evaluation Breast density may be significantly underestimated on digital breast tomosynthesis.
Authors:
Alberto Tagliafico; Giulio Tagliafico; Davide Astengo; Francesca Cavagnetto; Raffaella Rosasco; Giuseppe Rescinito; Francesco Monetti; Massimo Calabrese
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-2-24
Journal Detail:
Title:  European radiology     Volume:  -     ISSN:  1432-1084     ISO Abbreviation:  -     Publication Date:  2012 Feb 
Date Detail:
Created Date:  2012-2-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Institute of Anatomy, Department of Experimental Medicine, University of Genoa, Largo Rosanna Benzi 8, 16132, Genoa, Italy, alberto.tagliafico@unige.it.
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