Agreement of mammographic measures of volumetric breast density to MRI
| Autor: | Karla Kerlikowske, Bo Fan, Nola M. Hylton, Ania Azziz, John A. Shepherd, Catherine Klifa, David C. Newitt, Serghei Malkov, Jeff Wang, Silaja Yitta |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Adult
medicine.medical_specialty lcsh:Medicine Breast Neoplasms Breast pathology 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Breast cancer Absorptiometry Photon Cancer screening medicine Mammography Humans Breast density Breast lcsh:Science Mammary Glands Human skin and connective tissue diseases Aged Breast Density X ray radiography Multidisciplinary medicine.diagnostic_test business.industry lcsh:R Reproducibility of Results Middle Aged medicine.disease Magnetic Resonance Imaging Breast Fibroglandular Tissue 3. Good health Mammographic breast density 030220 oncology & carcinogenesis Linear Models lcsh:Q Female Radiology business Research Article |
| Zdroj: | Hylton, Nola; Kerlikowske, Karla; Wang, J; Azziz, A; Fan, B; Malkov, S; et al.(2013). Agreement of mammographic measures of volumetric breast density to MRI.. UC San Francisco: Retrieved from: http://www.escholarship.org/uc/item/3j86w134 PLoS ONE PLoS ONE, Vol 8, Iss 12, p e81653 (2013) |
| Popis: | BACKGROUND:Clinical scores of mammographic breast density are highly subjective. Automated technologies for mammography exist to quantify breast density objectively, but the technique that most accurately measures the quantity of breast fibroglandular tissue is not known. PURPOSE:To compare the agreement of three automated mammographic techniques for measuring volumetric breast density with a quantitative volumetric MRI-based technique in a screening population. MATERIALS AND METHODS:Women were selected from the UCSF Medical Center screening population that had received both a screening MRI and digital mammogram within one year of each other, had Breast Imaging Reporting and Data System (BI-RADS) assessments of normal or benign finding, and no history of breast cancer or surgery. Agreement was assessed of three mammographic techniques (Single-energy X-ray Absorptiometry [SXA], Quantra, and Volpara) with MRI for percent fibroglandular tissue volume, absolute fibroglandular tissue volume, and total breast volume. RESULTS:Among 99 women, the automated mammographic density techniques were correlated with MRI measures with R(2) values ranging from 0.40 (log fibroglandular volume) to 0.91 (total breast volume). Substantial agreement measured by kappa statistic was found between all percent fibroglandular tissue measures (0.72 to 0.63), but only moderate agreement for log fibroglandular volumes. The kappa statistics for all percent density measures were highest in the comparisons of the SXA and MRI results. The largest error source between MRI and the mammography techniques was found to be differences in measures of total breast volume. CONCLUSION:Automated volumetric fibroglandular tissue measures from screening digital mammograms were in substantial agreement with MRI and if associated with breast cancer could be used in clinical practice to enhance risk assessment and prevention. |
| Databáze: | OpenAIRE |
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