ライフサイエンスコーパス: breast density

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

2 breast cancer risk assessment tool that uses breast density.

3 No association was found between BE and breast density.

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

5 nges were also evaluated by subspecialty and breast density.

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

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

8 hip between menopausal state and qualitative breast density.

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

10 of DBT volume, radiologist subspecialty, or breast density.

11 e invasive breast cancer risk independent of breast density.

12 , it probably affects accuracy by increasing breast density.

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

14 on effectiveness of screening independent of breast density.

15 a System classification was used to describe breast density.

16 racy of scintimammography is not affected by breast density.

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

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

19 50 years and older who have primarily fatty breast density.

20 n risk factor for breast cancer is increased breast density.

21 cancers that are occult on mammograms due to breast density.

22 malignant lesions regardless of the type of breast density.

23 ompared with clinical risk factors including breast density.

24 ears and had heard the term dense breasts or breast density.

25 s every 1 to 2 years, providing a measure of breast density.

26 relative breast cancer risk associated with breast density.

27 mmography (DM), depending on women's age and breast density.

28 arning (DL) algorithm to assess mammographic breast density.

29 ory of prior breast cancer, and had heard of breast density.

30 etection of breast cancer is not affected by breast density.

31 visualization of vasculature irrespective of breast density.

32 history, race, age, prior breast biopsy, and breast density.

33 breasts shifted to scattered fibroglandular breast density.

34 adjunctive screening in women with increased breast density.

35 lled for suspicious lesions or who have high breast density.

36 100%), with no significant differences among breast densities.

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

38 ased screening performed consistently across breast densities.

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

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

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

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

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

44 Breast density affects the mammographic detectability of

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

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

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

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

49 estimation beyond markers derived from area breast density and 2D images.

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

51 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

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

53 minatory capacity when added to a model with breast density and body mass index (area under the curve

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

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

56 Associations between breast density and breast cancer risk were not significa

57 Breast density and Breast Imaging Reporting and Data Sys

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

59 DM) have shown conflicting results regarding breast density and diagnostic performance.PurposeTo comp

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

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

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

63 uterized image analysis was used to quantify breast density and extract parenchymal texture features

64 lyzed the results for the four categories of breast density and for dichotomous classification as den

65 Breast density and hormonal status affect the uptake of

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

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

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

69 Breast density and life expectancy should be considered

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

71 ures and to evaluate their associations with breast density and other breast cancer risk factors.

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

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

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

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

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

77 ight is positively associated with increased breast density and suggest that growth spurts starting i

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

79 and AGD from the different CESM studies, and breast density and volume were determined by two expert

80 Patient features (ie, age, breast density) and index tumor features (ie, type, grad

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

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

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

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

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

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

87 s across phenotypes by age, body mass index, breast density, and estimated breast cancer risk were as

88 how radiologist interpretation, patient age, breast density, and family history influence interval br

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

90 g interval, family history of breast cancer, breast density, and history of high-risk breast lesion.

91 surgical excision specimens when available, breast density, and imaging follow-up results were recor

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

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

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

95 he iCDR in both study arms and stratified by breast density, and odds ratios and 95% CIs were determi

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

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

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

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

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

101 often reported having their questions about breast density answered completely or mostly (Asian: OR,

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

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

104 Age and qualitative breast density are independent factors and significantly

105 ory of breast cancer (FHBC) and mammographic breast density are independent risk factors for breast c

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

107 this model included a patient's mammographic breast density as a novel predictive factor.

108 was used to calculate hazard ratios (HRs) of breast density as a risk factor for invasive breast canc

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

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

111 h ethnicity (P = .007) and BMI (P = .003) on breast density assessment, with greater differences in d

112 of screening mammography modality on BI-RADS breast density assessments.

113 DL model can be used to assess mammographic breast density at the level of an experienced mammograph

114 Imaging Reporting and Data System (BI-RADS) breast density based on the original interpretation by a

115 Analyses were adjusted for age, race, breast density, baseline examination, and reader.

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

117 Imaging Reporting and Data System (BI-RADS) breast density; BCSC 5-year breast cancer risk.

118 Background Inclusion of mammographic breast density (BD) in breast cancer risk models improve

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

120 Comparison of breast densities between groups indicates no statistical

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

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

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

124 l weight gain was self-reported in 2007, and breast density by digital mammography was measured in 20

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

126 A DL model was trained to predict BI-RADS breast density by using FFDM images acquired from 2008 t

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

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

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

130 Breast density categories A-D were visually assessed acc

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

132 Imaging Reporting and Data System (BI-RADS) breast density categories assigned by interpreting radio

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

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

135 Conclusion Breast density categorization may vary by screening mamm

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

137 Breast Imaging Reporting and Data System breast density category, age, and BMI.

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

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

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

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

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

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

144 Additionally, using the current breast density criteria for magnetic resonance imaging m

145 sampling bias and confounders (patient age, breast density, day of week, time of day; all P < .005)

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

147 Breast density decreased over time in both cases and con

148 Evidence exists that increased breast density decreases mammographic sensitivity.

149 significantly decreases as age increases and breast density decreases.

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

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

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

153 A BI-RADS breast density DL model demonstrated strong performance

154 lusion The associations between quantitative breast density estimates and breast cancer risk are stro

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

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

157 Conclusion High breast density, family history of breast cancer, and sub

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

159 tion of mandated written notifications about breast density following mammography, there is little un

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

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

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

163 r for breast cancer, longitudinal changes in breast density have not been extensively studied to dete

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

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

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

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

168 t entirely fatty or scattered fibroglandular breast density (HR, 2.30; 95% CI, 1.19 to 4.46) or heter

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

170 ancer compared with scattered fibroglandular breast density in both age categories (65-74 years: haza

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

172 but the association of FHBC and mammographic breast density in premenopausal women is not well unders

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

174 Background High breast density increases breast cancer risk and lowers m

175 AI imaging algorithms coupled with breast density independently contribute to long-term ris

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

177 Breast density-inform legislation is increasing the need

178 The California Breast Density Information Group identified key elements

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

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

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

182 Breast density is a modifiable factor that is strongly a

183 Although breast density is an established risk factor for breast

184 Breast density is an independent risk factor for breast

185 Breast density is associated with breast cancer risk in

186 Breast density is associated with risk of breast cancer

187 As a result, accurately classifying the breast density is crucial, and can lead to better, more

188 Breast density is inversely related to body size and may

189 However, the use of breast density is limited by subjective assessment, vari

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

191 Breast density is one of the strongest predictors of bre

192 Breast density is one of the strongest predictors of bre

193 pring; however, its effect on the daughters' breast density is unclear.

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

195 t density on mammograms is important because breast density is used for breast cancer risk assessment

196 Specifically, breast density is very hormonally responsive and potenti

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

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

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

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

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

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

203 Breast density may be quantified by using visual assessm

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

205 ng mammogram films, the percent mammographic breast density (%MBD) was measured using computer-assist

206 The within-breast density measurement standard deviations were 3.32

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

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

209 artificial intelligence detection system and breast density measurements enabled identification of a

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

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

212 c parenchymal complexity beyond conventional breast density measures and established breast cancer ri

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

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

215 The breast density model was well calibrated overall (expect

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

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

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

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

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

221 2014, in contrast to 13 analyzed states with breast density notification legislation, which reached a

222 With widespread breast density notification, functional rather than anat

223 Breast density notifications advise women to discuss bre

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

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

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

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

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

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

230 Six radiologists categorized breast density on 451 mammograms on two occasions one mo

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

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

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

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

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

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

237 Imaging Reporting and Data System (BI-RADS) breast density on mammograms is important because breast

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

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

240 40 to 79 years with BI-RADS category 3 or 4 breast density or aged 50 to 69 years with category 2 de

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

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

243 Breast density, or the amount of fibroglandular tissue (

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

245 percentage of density, change in volumetric breast density over time, and breast biopsy pathology-co

246 No significant difference in breast density (P > .05) or number of available mammogra

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

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

249 Breast density PARPs were larger for premenopausal vs po

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

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

252 ptiometry (DXA) system calibrated to measure breast density provided percent fibroglandular volume (%

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

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

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

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

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

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

259 of full-field digital mammography (FFDM) on breast density research and to determine whether results

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

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

262 Breast density should not be the sole criterion for deci

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

264 After adjustment for age, breast density, site, and index year, associations remai

265 tudies have utilized deep learning to assess breast density, the limited public availability of data

266 Half of respondents thought breast density to be a greater risk than not having chil

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

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

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

270 ished breast cancer risk model that included breast density (Tyrer-Cuzick model, version 8 [TC]).

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

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

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

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

275 Breast density was assessed by using automatic volumetri

276 Breast density was assessed on mammography performed wit

277 Extreme or heterogeneous breast density was associated with increased risk of bre

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

279 Breast density was examined as a prognostic factor in th

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

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

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

283 Breast density was not strongly correlated with phenotyp

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

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

286 Breast density was the most prevalent risk factor for bo

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

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

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

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

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

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

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

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

295 dels were fit to estimate the association of breast density with invasive breast cancer risk.

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

297 ensity notifications advise women to discuss breast density with their clinicians, yet little is know

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

299 Agreement on breast density within and between radiologists using the

300 t entirely fatty or scattered fibroglandular breast density, women with mild, moderate, or marked BPE