Document Detail


Reproducibility of breast arterial calcium mass quantification using digital mammography.
MedLine Citation:
PMID:  19201356     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
RATIONALE AND OBJECTIVES: Breast arterial calcification (BAC) detected on mammography is frequently not included in final reports. However, previous studies have indicated that BAC may be evidence of general atherosclerotic vascular disease, and it can potentially be a useful marker of coronary artery disease. In addition, there are currently no available techniques for the quantification of calcium mass using mammography. The purpose of this study was to evaluate the reproducibility and inter-reader agreement of a technique for the quantification of BAC using standard digital mammography.
MATERIALS AND METHODS: BAC mass was measured in a convenient, consecutive sample of 39 women aged 49 to 82 years attending routine mammographic examinations. BAC mass measurements were performed in standard mediolateral oblique (MLO) and craniocaudal (CC) views. To assess reproducibility, the BAC measurements obtained in MLO and CC views were compared.
RESULTS: The measured BAC masses in CC (M(CC)) and MLO (M(MLO)) projections were related by M(CC) = 0.82(M(MLO)) + 0.27 mg (r = 0.97; standard error of estimation [SEE], 3.44 mg). The measured BAC masses in the left (M(L)) and right (M(R)) breasts were related by M(L) = 0.86(M(R)) - 0.06 mg (r = 0.95; SEE, 4.30 mg). The intraclass correlation coefficients for the measurement of calcium mass ranged from 0.94 in the left CC view to 0.99 in the right CC view.
CONCLUSION: A densitometry technique for the quantification of BAC mass was evaluated in patients using standard full-field digital mammography. The results demonstrated that this densitometric technique for the quantification of BAC mass is highly reproducible and has excellent inter-reader agreement. This technique may provide a quantitative metric for future studies relating the severity of BAC and cardiovascular risk.
Authors:
Sabee Molloi; Toufan Mehraien; Carlos Iribarren; Christopher Smith; Justin L Ducote; Stephen A Feig
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Academic radiology     Volume:  16     ISSN:  1878-4046     ISO Abbreviation:  Acad Radiol     Publication Date:  2009 Mar 
Date Detail:
Created Date:  2009-02-09     Completed Date:  2009-04-15     Revised Date:  2014-09-13    
Medline Journal Info:
Nlm Unique ID:  9440159     Medline TA:  Acad Radiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  275-82     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Algorithms
Angiography / methods*
Breast / blood supply
Breast Diseases / complications,  radiography*
Calcinosis / radiography*
Coronary Artery Disease / complications,  radiography*
Female
Humans
Mammography / methods*
Middle Aged
Radiographic Image Enhancement / methods*
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
R01 HL083295/HL/NHLBI NIH HHS; R01 HL083295/HL/NHLBI NIH HHS; R01 HL083295-02/HL/NHLBI NIH HHS
Comments/Corrections

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