The Mammographic Density of a Mass Is a Significant Predictor of Breast Cancer

Woods, Ryan W.; Sisney, Gale A.; Salkowski, Lonie R.; Shinki, Kazuhiko; Lin, Yunzhi; Burnside, Elizabeth S.

doi:10.1148/radiol.10100328

Cited by 51 publications

(37 citation statements)

References 22 publications

(24 reference statements)

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“…67.4% of the subjects of our study had highdensity and it was comparable with a study done in USA in which 70.2% had highdensity masses 23 . The UK study however did not favour this finding, as they could not find a difference of density between invasive lobular carcinoma (ILC) and IDC subjects 14 .…”

Section: Resultssupporting

confidence: 90%

Demographic, Clinical and Mammographic Characteristics of Invasive Ductal Carcinoma of the Breast; A Sri Lankan Experience

Perera

Hettiarachchi

Ratnatunga

et al. 2016

Sri Lanka J. Radiol.

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Breast cancer (BC) ranks the highest among all cancers of women worldwide. Mammography is the most widely utilized imaging tool for evaluation of breast cancer with the final diagnosis being made on histopathology. This study aimed at describing the demographic, clinical and mammographic characteristics of histologically proven invasive ductal carcinoma (IDC) of breast in a group of Sri Lankan women. The study was carried out using a database on mammography maintained by the principal investigator. Study sample consisted of 177 subjects. The mean age of subjects was 52.2 years (SD ± 1.1). Majority (63.8%) were postmenopausalwomen. 93% of them presented with symptomatic breast disease, and the commonest symptom was a palpable mass (90.7%). Presentation for mammography after observing symptoms showed a median delay of 28 days. BC was found mostly in involuting type of breasts. Commonest mammography characteristic was a mass (86.4%). Size of the mass was between 2 cm to 5 cm in majority (84.3%) with T stage II disease. In conclusion, mean age of the subjects was comparable to other Asian countries but relatively lower than that of the west. Majority of patients presented with a palpable mass within four weeks from the onset of symptoms. The size of the mass did not show a significant correlation with the duration of symptoms and the age. This study did not find a significant association between mammographic breast density with IDC.

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Section: Resultssupporting

confidence: 90%

Demographic, Clinical and Mammographic Characteristics of Invasive Ductal Carcinoma of the Breast; A Sri Lankan Experience

Perera

Hettiarachchi

Ratnatunga

et al. 2016

Sri Lanka J. Radiol.

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“…We also found that a high mammographic density was correlated with malignancy ( Fig. 2), in agreement with a study by Woods et al (2011). Some investigators (Egan 1988;Homer 1997;Kopans 2007) proposed that high-density lesions were more likely to be malignant because of dense cellular components and reactive fibrosis.…”

Section: Discussionsupporting

confidence: 92%

Clinical and Imaging Characteristics of Papillary Neoplasms of the Breast Associated with Malignancy: A Retrospective Cohort Study

Choi¹,

Jo²,

Kim³

et al. 2014

Ultrasound in Medicine & Biology

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“…15,16 A recent report suggests that, in addition to irregular mass shape, speculated mass margin, and patient age, an increase in mammographic attenuation of a mass also increases its likelihood of malignancy. 17 However, high mass density by itself is not sufficiently accurate to avert the need for a biopsy. If lesions could be characterized quantitatively according to their chemical compositions, predictive capability might be improved.…”

Section: Introductionmentioning

confidence: 99%

Breast tissue decomposition with spectral distortion correction: A postmortem study

et al. 2014

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Purpose: To investigate the feasibility of an accurate measurement of water, lipid, and protein composition of breast tissue using a photon-counting spectral computed tomography (CT) with spectral distortion corrections. Methods: Thirty-eight postmortem breasts were imaged with a cadmium-zinc-telluride-based photon-counting spectral CT system at 100 kV. The energy-resolving capability of the photon-counting detector was used to separate photons into low and high energy bins with a splitting energy of 42 keV. The estimated mean glandular dose for each breast ranged from 1.8 to 2.2 mGy. Two spectral distortion correction techniques were implemented, respectively, on the raw images to correct the nonlinear detector response due to pulse pileup and charge-sharing artifacts. Dual energy decomposition was then used to characterize each breast in terms of water, lipid, and protein content. In the meantime, the breasts were chemically decomposed into their respective water, lipid, and protein components to provide a gold standard for comparison with dual energy decomposition results. Results: The accuracy of the tissue compositional measurement with spectral CT was determined by comparing to the reference standard from chemical analysis. The averaged root-mean-square error in percentage composition was reduced from 15.5% to 2.8% after spectral distortion corrections. Conclusions:The results indicate that spectral CT can be used to quantify the water, lipid, and protein content in breast tissue. The accuracy of the compositional analysis depends on the applied spectral distortion correction technique. C 2014 American Association of Physicists in Medicine. [http://dx

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The Mammographic Density of a Mass Is a Significant Predictor of Breast Cancer

Abstract: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100328/-/DC1.

Cited by 51 publications

References 22 publications

Demographic, Clinical and Mammographic Characteristics of Invasive Ductal Carcinoma of the Breast; A Sri Lankan Experience

Demographic, Clinical and Mammographic Characteristics of Invasive Ductal Carcinoma of the Breast; A Sri Lankan Experience

Clinical and Imaging Characteristics of Papillary Neoplasms of the Breast Associated with Malignancy: A Retrospective Cohort Study

Breast tissue decomposition with spectral distortion correction: A postmortem study

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