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For: Kerlikowske K, Ma L, Scott CG, Mahmoudzadeh AP, Jensen MR, Sprague BL, Henderson LM, Pankratz VS, Cummings SR, Miglioretti DL, Vachon CM, Shepherd JA. Combining quantitative and qualitative breast density measures to assess breast cancer risk. Breast Cancer Res 2017;19:97. [PMID: 28830497 DOI: 10.1186/s13058-017-0887-5] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
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2 Elezaby M, Lees B, Maturen KE, Barroilhet L, Wisinski KB, Schrager S, Wilke LG, Sadowski E. BRCA Mutation Carriers: Breast and Ovarian Cancer Screening Guidelines and Imaging Considerations. Radiology 2019;291:554-69. [PMID: 31038410 DOI: 10.1148/radiol.2019181814] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
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4 Spear GG, Mendelson EB. Automated breast ultrasound: Supplemental screening for average-risk women with dense breasts. Clin Imaging 2021;76:15-25. [PMID: 33548888 DOI: 10.1016/j.clinimag.2020.12.007] [Reference Citation Analysis]
5 Balleyguier C, Arfi-rouche J, Boyer B, Gauthier E, Helin V, Loshkajian A, Ragusa S, Delaloge S. A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations. Eur Radiol 2019;29:3830-8. [DOI: 10.1007/s00330-019-06016-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
6 Kim G, Bahl M. Assessing Risk of Breast Cancer: A Review of Risk Prediction Models. J Breast Imaging 2021;3:144-55. [PMID: 33778488 DOI: 10.1093/jbi/wbab001] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
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8 Vilmun BM, Vejborg I, Lynge E, Lillholm M, Nielsen M, Nielsen MB, Carlsen JF. Impact of adding breast density to breast cancer risk models: A systematic review. European Journal of Radiology 2020;127:109019. [DOI: 10.1016/j.ejrad.2020.109019] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
9 Vourtsis A, Berg WA. Breast density implications and supplemental screening. Eur Radiol 2019;29:1762-77. [PMID: 30255244 DOI: 10.1007/s00330-018-5668-8] [Cited by in Crossref: 38] [Cited by in F6Publishing: 29] [Article Influence: 9.5] [Reference Citation Analysis]
10 Engmann NJ, Scott CG, Jensen MR, Winham S, Miglioretti DL, Ma L, Brandt K, Mahmoudzadeh A, Whaley DH, Hruska C, Wu F, Norman AD, Hiatt RA, Heine J, Shepherd J, Pankratz VS, Vachon CM, Kerlikowske K. Combined effect of volumetric breast density and body mass index on breast cancer risk. Breast Cancer Res Treat 2019;177:165-73. [PMID: 31129803 DOI: 10.1007/s10549-019-05283-z] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
11 Yaghjyan L, Mai V, Wang X, Ukhanova M, Tagliamonte M, Martinez YC, Rich SN, Egan KM. Gut microbiome, body weight, and mammographic breast density in healthy postmenopausal women. Cancer Causes Control 2021;32:681-92. [PMID: 33772705 DOI: 10.1007/s10552-021-01420-6] [Reference Citation Analysis]
12 Advani SM, Zhu W, Demb J, Sprague BL, Onega T, Henderson LM, Buist DSM, Zhang D, Schousboe JT, Walter LC, Kerlikowske K, Miglioretti DL, Braithwaite D; Breast Cancer Surveillance Consortium. Association of Breast Density With Breast Cancer Risk Among Women Aged 65 Years or Older by Age Group and Body Mass Index. JAMA Netw Open 2021;4:e2122810. [PMID: 34436608 DOI: 10.1001/jamanetworkopen.2021.22810] [Reference Citation Analysis]
13 Kanbayti IH, Rae WID, McEntee MF, Ekpo EU. Are mammographic density phenotypes associated with breast cancer treatment response and clinical outcomes? A systematic review and meta-analysis. Breast 2019;47:62-76. [PMID: 31352313 DOI: 10.1016/j.breast.2019.07.002] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
14 Heine J, Fowler E, Scott CG, Jensen MR, Shepherd J, Hruska CB, Winham SJ, Brandt KR, Wu FF, Norman AD, Pankratz VS, Miglioretti DL, Kerlikowske K, Vachon CM. Mammographic Variation Measures, Breast Density, and Breast Cancer Risk. AJR Am J Roentgenol 2021;217:326-35. [PMID: 34161135 DOI: 10.2214/AJR.20.22794] [Reference Citation Analysis]
15 Mclean KE, Stone J. Role of breast density measurement in screening for breast cancer. Climacteric 2018;21:214-20. [DOI: 10.1080/13697137.2018.1424816] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
16 Le Boulc'h M, Bekhouche A, Kermarrec E, Milon A, Abdel Wahab C, Zilberman S, Chabbert-Buffet N, Thomassin-Naggara I. Comparison of breast density assessment between human eye and automated software on digital and synthetic mammography: Impact on breast cancer risk. Diagn Interv Imaging 2020;101:811-9. [PMID: 32819886 DOI: 10.1016/j.diii.2020.07.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
17 Zhang Y, Chen JH, Chang KT, Park VY, Kim MJ, Chan S, Chang P, Chow D, Luk A, Kwong T, Su MY. Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net. Acad Radiol. 2019;26:1526-1535. [PMID: 30713130 DOI: 10.1016/j.acra.2019.01.012] [Cited by in Crossref: 26] [Cited by in F6Publishing: 16] [Article Influence: 8.7] [Reference Citation Analysis]
18 Shieh Y, Scott CG, Jensen MR, Norman AD, Bertrand KA, Pankratz VS, Brandt KR, Visscher DW, Shepherd JA, Tamimi RM, Vachon CM, Kerlikowske K. Body mass index, mammographic density, and breast cancer risk by estrogen receptor subtype. Breast Cancer Res 2019;21:48. [PMID: 30944014 DOI: 10.1186/s13058-019-1129-9] [Cited by in Crossref: 24] [Cited by in F6Publishing: 22] [Article Influence: 8.0] [Reference Citation Analysis]
19 Cho Y, Chang Y, Jung HS, Kim CW, Oh H, Kim EY, Shin H, Wild SH, Byrne CD, Ryu S. Fatty liver disease and changes in dense breasts in pre- and postmenopausal women: the Kangbuk Samsung Health Study. Breast Cancer Res Treat 2021;190:343-53. [PMID: 34529194 DOI: 10.1007/s10549-021-06349-7] [Reference Citation Analysis]
20 Wanders JOP, van Gils CH, Karssemeijer N, Holland K, Kallenberg M, Peeters PHM, Nielsen M, Lillholm M. The combined effect of mammographic texture and density on breast cancer risk: a cohort study. Breast Cancer Res 2018;20:36. [PMID: 29720220 DOI: 10.1186/s13058-018-0961-7] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
21 Jalaeefar A, Moini A, Eslami B, Alipour S, Shirkhoda M, Aryan A, Mahmoodzadeh H, Omranipour R. Abnormal anti-Müllerian hormone level may be a trigger for breast cancer in young women: A case-control study. Int J Reprod Biomed 2021;19:181-90. [PMID: 33718762 DOI: 10.18502/ijrm.v19i2.8476] [Reference Citation Analysis]