ライフサイエンスコーパス: breast density

1 and a previous breast biopsy, regardless of breast density.

2 breasts shifted to scattered fibroglandular breast density.

3 ture of the cancer were recorded, as was the breast density.

4 hip between menopausal state and qualitative breast density.

5 basis of manufacturer type, lesion type, or breast density.

6 , it probably affects accuracy by increasing breast density.

7 adjunctive screening in women with increased breast density.

8 was significant but less than the impact of breast density.

9 on effectiveness of screening independent of breast density.

10 a System classification was used to describe breast density.

11 racy of scintimammography is not affected by breast density.

12 ent therapy (HRT) has been shown to increase breast density.

13 ted gray-scale cut points are used to assess breast density.

14 50 years and older who have primarily fatty breast density.

15 screening rounds, mutation status, age, and breast density.

16 breast cancer risk assessment tool that uses breast density.

17 No association was found between BE and breast density.

18 ffective for any group, regardless of age or breast density.

19 100%), with no significant differences among breast densities.

20 nse parenchyma than for those with all other breast densities.

21 vs 19% [164 of 848], P = .02), have greater breast density (71 of 86 [83%] vs 572 of 848 [68%], P =

22 udy participants (50.1%), mostly due to high breast density (800 of 1666 women [48.0%]).

23 01) and is also associated with mammographic breast density, a strong risk factor for breast cancer (

24 t cancer risk are complex and do not include breast density, a strong risk factor for breast cancer t

25 ity levels, and diet with adult mammographic breast density, a strong risk factor for breast cancer.

26 Breast density affects the mammographic detectability of

27 The relationships among breast density, age, and use of hormone replacement ther

28 Breast density, age, HRT use, rate of breast cancer occu

29 t Imaging Reporting and Data System (BIRADS) breast density, age, menopausal status, and current HT u

30 y of segmentation was compared for different breast densities and film sizes by using logistic regres

31 Mammographic breast density and age are important predictors of the a

32 r women aged 50 to 74 years at all levels of breast density and an RR of 4.0, and those aged 65 to 74

33 timates women's risk for breast cancer using breast density and BBD diagnoses.

34 e determined whether the association between breast density and breast cancer risk and cancer severit

35 periods for lifestyle modifications aimed at breast density and breast cancer risk reduction.

36 lationships among age, menopausal state, and breast density and determine whether they affect (18)F-F

37 pension was associated with small changes in breast density and did not affect recall rates.

38 men aged 40 to 49 years with category 3 or 4 breast density and either a previous breast biopsy or a

39 lly decreased with the combination of higher breast density and estrogen replacement therapy use.

40 Breast density and hormonal status affect the uptake of

41 Block random assignment (by breast density and hormone therapy type) to no hormone t

42 fficients described the associations between breast density and IGF-I, IGFBP-3, and the IGF-I:IGFBP-3

43 ancer declines significantly with increasing breast density and is independently higher in older wome

44 divided into groups according to qualitative breast density and menopausal state.

45 f tomosynthesis reduced recall rates for all breast density and patient age groups, with significant

46 were calculated and stratified according to breast density and patient age.

47 years or older with various combinations of breast density and relative risk (RR) of 1.0, 1.3, 2.0,

48 eening intervals after age 50 years based on breast density and risk for breast cancer.

49 ing benefits and overdiagnosis increase with breast density and RR.

50 In contrast, the correlation between breast density and the IGF-I:IGFBP-3 ratio among postmen

51 Hormone therapy increases breast density, and abnormal screening mammograms are mo

52 ry of breast cancer, index cancer histology, breast density, and age at diagnosis of first breast can

53 f estrogen replacement therapy, mammographic breast density, and age.

54 wo groups were compared with respect to age, breast density, and availability of comparison films wit

55 not show a change while controlling for age, breast density, and data clustering.

56 was used to control for differences in age, breast density, and elevated risk of breast cancer.

57 e, 2 standard mammographic views per breast, breast density, and follow-up of abnormal and normal mam

58 ulated overall and according to patient age, breast density, and individual radiologist.

59 nant), lesion type (mass vs calcifications), breast density, and interradiologist variability.

60 dality varied by age, tumor characteristics, breast density, and menopausal status.

61 of recall adjusted for age, race/ethnicity, breast density, and prior mammograms were estimated.

62 controlling for differences in patient age, breast density, and risk factors.

63 imulation modeling using national incidence, breast density, and screening performance data.

64 s receiving chemotherapy showed reduction of breast density, and the effects were significant after i

65 ; previous benign breast biopsy result; high breast density; and, for younger women, low body mass in

66 Importantly, regions of high breast density are associated with increased stromal col

67 Postmenopausal women with high breast density are at increased risk of breast cancer an

68 Age and qualitative breast density are independent factors and significantly

69 lusion Automated and clinical assessments of breast density are similarly associated with breast canc

70 Measurements: Mammographic breast density, as clinically recorded using the 4 Breas

71 Objective: To examine variation in breast density assessment across radiologists in clinica

72 BI-RADS breast density, BCSC 5-year breast cancer risk, and inte

73 Legislation mandating disclosure of breast density (BD) information has passed in 21 states;

74 Comparison of breast densities between groups indicates no statistical

75 ble Web site that contains information about breast density, breast cancer risk assessment, and suppl

76 and intervals for screening mammography; how breast density, breast cancer risk, and comorbidity leve

77 does not appear to be a simple assessment of breast density but rather the detection of the abnormal

78 Community radiologists rated breast density by using 4 Breast Imaging Reporting and D

79 clusion The BI-RADS features of mammographic breast density, calcification morphology, mass margins a

80 incorporates routinely reported measures of breast density can estimate 5-year risk for invasive bre

81 BCSC 5-year risk combined with BI-RADS breast density can identify women at high risk for inter

82 lts showed no difference in reported BI-RADS breast density categories according to acquisition metho

83 Demographic data, risk factors, and BI-RADS breast density categories were collected from five mammo

84 State-level data over a 5-year period on breast density categorization and breast cancer detectio

85 dense breasts (American College of Radiology breast density category 4) and a negative result at mamm

86 aphic features of the breast that constitute breast density change with age and/or menopause.

87 wn to be related to breast density influence breast density change with age.

88 When measuring breast density change, issues related to assessment are

89 he prevalence of different factors affecting breast density changed dramatically over the last 50 yea

90 These results indicate that breast density changes associated with HRT are dynamic,

91 only describe the averaged effects of age on breast density changes but also consider whether pattern

92 multivariate modeling, younger age, greater breast density, DCIS index cancer, and family history re

93 Evidence exists that increased breast density decreases mammographic sensitivity.

94 significantly decreases as age increases and breast density decreases.

95 For women younger than 50 years, breast density did not affect the sensitivity of mammogr

96 The associations of IGF-I:IGFBP-3 ratio with breast density differed significantly between premenopau

97 o for any of the algorithms, larger absolute breast density discrepancy (Delta1-2) values were associ

98 investigate the impact of radiation dose on breast density estimation in digital mammography.

99 e acquisition radiation dose on quantitative breast density estimation was investigated with analysis

100 ts, contralateral breast histologic results, breast density, family history, race and/or ethnicity, M

101 The intrareader reliability of breast density grades on CT images was 0.88.

102 t difference in the percentage of BE between breast density groups.

103 Age, mutation status, and breast density had no influence on the sensitivity of MR

104 Most studies of breast density have relied on one assessment, yet the ma

105 Imaging Reporting and Data System (BI-RADS) breast density (heterogeneously or extremely dense vs sc

106 personalized on the basis of a woman's age, breast density, history of breast biopsy, family history

107 Breast density, history of surgery or biopsy, and availa

108 levels of endogenous IGF-I and IGFBP-3 with breast density in 65 premenopausal and 192 postmenopausa

109 models may be necessary to predict risk from breast density in different ethnic groups.

110 history of breast biopsy, BBD diagnoses, and breast density in the BCSC.

111 evaluate how factors known to be related to breast density influence breast density change with age.

112 Breast density-inform legislation is increasing the need

113 The California Breast Density Information Group identified key elements

114 adiology facilities to disclose mammographic breast density information to women, often with language

115 If cumulative breast density is a key determinant of breast cancer ris

116 Increased mammographic breast density is a moderate independent risk factor for

117 Breast density is inversely related to body size and may

118 Variability in a repeated measurement of breast density is lowest for Volpara and Quantra; these

119 Breast density is one of the strongest predictors of bre

120 Breast density is one of the strongest predictors of bre

121 Therefore, breast density is unlikely to affect the ability of (18)

122 Specifically, breast density is very hormonally responsive and potenti

123 Breast density, lesion type (mass vs non-masslike enhanc

124 ted), noting mammographic characteristics of breast density, lesion type, size, morphology, and subje

125 ate agreement between automated estimates of breast density made from standard-dose versus synthetic

126 Conclusion Fully automated estimates of breast density made from synthetic mammograms are genera

127 The amount of breast density may be due in part to genetic heredity.

128 However, unlike other risk factors, breast density may be influenced.

129 Breast density may be quantified by using visual assessm

130 Assessment of breast density may become useful in risk assessment and

131 The within-breast density measurement standard deviations were 3.32

132 Discrepancy between the first and second breast density measurements (Delta1-2) was obtained for

133 The computer-derived breast density measurements agreed with those of the rad

134 Although the mean discrepancy between repeat breast density measurements was not significantly differ

135 n Precision and reproducibility of automated breast density measurements with digital mammography are

136 re used to assess the effects of qualitative breast density, menopausal state, and age on SUVmax and

137 er of cancers detected was not influenced by breast density, menopausal status, or the histologic fea

138 The breast density model was well calibrated overall (expect

139 sults Facilities in 13 of 17 states that had breast density notification legislation as of 2014 submi

140 tly decreased immediately after enactment of breast density notification legislation but then returne

141 In anticipation of breast density notification legislation in the state of

142 Purpose To evaluate the impact of breast density notification legislation on breast densit

143 In 21 analyzed states without breast density notification legislation, the percentage

144 2014, in contrast to 13 analyzed states with breast density notification legislation, which reached a

145 With widespread breast density notification, functional rather than anat

146 en (mean age, 56.3; range, 40-80 years) with breast density of 2-4 according to American College of R

147 For those with breast density of 50% or more, sensitivity was 86% for 2

148 with initial mammography at age 40 years and breast density of Breast Imaging Reporting and Data Syst

149 The effects on breast density of discontinuing and continuing HRT have

150 , for women aged 60-74 years, for women with breast density of less than 75%, for women with a family

151 at a rescreening examination, for women with breast density of less than 75%, for women with no famil

152 reast radiation therapy, hormonal treatment, breast density on CE spectral mammographic images, and a

153 een-film mammography machines, the effect of breast density on diagnostic accuracy of digital and scr

154 d MDEST computer program was used to measure breast density on digitized mammograms in 65 women (mean

155 Purpose To compare three metrics of breast density on full-field digital mammographic (FFDM)

156 gn versus malignant lesions or for effect of breast density on lesion visualization.

157 n versus malignant lesions and for effect of breast density on lesion visualization.

158 men with higher (n = 122) vs lower (n = 118) breast density on prior mammograms (overall concordance

159 The study aimed to evaluate the impact of breast density on the (18)F-FDG uptake of normal breast

160 40 to 79 years with BI-RADS category 3 or 4 breast density or aged 50 to 69 years with category 2 de

161 nce and family history, prior breast cancer, breast density, or palpability.

162 ial breast cancer regardless of patient age, breast density, or risk status.

163 However, to study change in breast density, other issues should also be considered.

164 ivity declined significantly with increasing breast density (P <.01) (48% for the densest breasts) an

165 r (P <.27), index cancer histology (P <.19), breast density (P <.34), or age at diagnosis of first br

166 ed to assess the effect of screening method, breast density, patient age, and cancer risk on the odds

167 Percent mammographic breast density (PMD) is a strong heritable risk factor f

168 as strongest for the IGF-I:IGFBP-3 ratio and breast density (r = 0.39; P = 0.004).

169 results suggest that on further validation, breast density readings at CT may provide important addi

170 al screening and higher-risk women with high breast density receiving annual screening will maintain

171 Also, breast density related to menopausal state (P < 0.05).

172 ed HRT were more likely to show increases in breast density (relative risk [RR], 2.57; 95% confidence

173 f breast density notification legislation on breast density reporting by radiologists nationally.

174 th FFDM among women classified as having low breast density (RR, 1.53; 95% CI: 1.13, 2.10) or high br

175 nsity (RR, 1.53; 95% CI: 1.13, 2.10) or high breast density (RR, 2.86; 95% CI: 1.42, 6.25).

176 Breast density should not be the sole criterion for deci

177 Automated techniques for measuring breast density show good correlation, but these are poor

178 s not significantly affected by mammographic breast density, tumor histology, or menopausal status.

179 but only moderate specificity independent of breast density, tumor type, and menopausal status.

180 nd classified each case into one of the four breast density types defined by the Breast Imaging Repor

181 Conclusion: Average-risk women with low breast density undergoing triennial screening and higher

182 Delta1-2) values were associated with larger breast density values for Cumulus ABD and CumulusV but n

183 the overall odds ratio for a 10% increase in breast density was 1.22 (95% confidence interval: 1.14,

184 Breast density was assessed by one of 26 readers on a vi

185 Mammographic breast density was categorized according to BI-RADS crit

186 Breast density was examined as a prognostic factor in th

187 Results Mammographic breast density was inversely associated with ODxRS (P </

188 Breast density was lower in 19.8% of the women who under

189 Breast density was measured by using an area-based metho

190 Premenopausal breast density was positively correlated with IGF-I and

191 her among women aged 50 years and older when breast density was primarily fatty rather than primarily

192 Breast density was the most prevalent risk factor for bo

193 Ordinal values of BE and breast density were described by two independent readers

194 and Data System (BI-RADS) classifications of breast density were extracted from mammography reports.

195 ation: Quantitative measures of mammographic breast density were not available for comparison.

196 With suspension, decreases in percentage of breast density were orderly and statistically significan

197 phic size of the lesion, type of lesion, and breast density were recorded and were analyzed by using

198 ay absorptiometry (DXA) was used to quantify breast density with a phantom and with cadaveric breasts

199 lausible explanations for the association of breast density with increased breast cancer risk may be

200 the etiological pathway that relates higher breast density with increased breast cancer risk.

201 miautomated computer-derived measurements of breast density with the consensus of the two radiologist

202 Purpose To compare the classification of breast density with two automated methods, Volpara (vers