These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
215 related articles for article (PubMed ID: 24020331)
1. AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes. Nickson C; Arzhaeva Y; Aitken Z; Elgindy T; Buckley M; Li M; English DR; Kavanagh AM Breast Cancer Res; 2013; 15(5):R80. PubMed ID: 24020331 [TBL] [Abstract][Full Text] [Related]
2. A comparison of five methods of measuring mammographic density: a case-control study. Astley SM; Harkness EF; Sergeant JC; Warwick J; Stavrinos P; Warren R; Wilson M; Beetles U; Gadde S; Lim Y; Jain A; Bundred S; Barr N; Reece V; Brentnall AR; Cuzick J; Howell T; Evans DG Breast Cancer Res; 2018 Feb; 20(1):10. PubMed ID: 29402289 [TBL] [Abstract][Full Text] [Related]
3. Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full-field digital mammograms. Nguyen TL; Aung YK; Evans CF; Yoon-Ho C; Jenkins MA; Sung J; Hopper JL; Song YM Breast Cancer Res; 2015 Nov; 17():142. PubMed ID: 26581435 [TBL] [Abstract][Full Text] [Related]
4. Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds. Nguyen TL; Aung YK; Li S; Trinh NH; Evans CF; Baglietto L; Krishnan K; Dite GS; Stone J; English DR; Song YM; Sung J; Jenkins MA; Southey MC; Giles GG; Hopper JL Breast Cancer Res; 2018 Dec; 20(1):152. PubMed ID: 30545395 [TBL] [Abstract][Full Text] [Related]
5. The influence of mammogram acquisition on the mammographic density and breast cancer association in the Mayo Mammography Health Study cohort. Olson JE; Sellers TA; Scott CG; Schueler BA; Brandt KR; Serie DJ; Jensen MR; Wu FF; Morton MJ; Heine JJ; Couch FJ; Pankratz VS; Vachon CM Breast Cancer Res; 2012 Nov; 14(6):R147. PubMed ID: 23152984 [TBL] [Abstract][Full Text] [Related]
6. Risk factors and tumor characteristics of interval cancers by mammographic density. Holm J; Humphreys K; Li J; Ploner A; Cheddad A; Eriksson M; Törnberg S; Hall P; Czene K J Clin Oncol; 2015 Mar; 33(9):1030-7. PubMed ID: 25646195 [TBL] [Abstract][Full Text] [Related]
7. Comparison of fully and semi-automated area-based methods for measuring mammographic density and predicting breast cancer risk. Sovio U; Li J; Aitken Z; Humphreys K; Czene K; Moss S; Hall P; McCormack V; dos-Santos-Silva I Br J Cancer; 2014 Apr; 110(7):1908-16. PubMed ID: 24556624 [TBL] [Abstract][Full Text] [Related]
8. Mammographic features associated with interval breast cancers in screening programs. Boyd NF; Huszti E; Melnichouk O; Martin LJ; Hislop G; Chiarelli A; Yaffe MJ; Minkin S Breast Cancer Res; 2014 Aug; 16(4):417. PubMed ID: 25346388 [TBL] [Abstract][Full Text] [Related]
9. High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer. Li J; Szekely L; Eriksson L; Heddson B; Sundbom A; Czene K; Hall P; Humphreys K Breast Cancer Res; 2012 Jul; 14(4):R114. PubMed ID: 22846386 [TBL] [Abstract][Full Text] [Related]
10. Digital versus screen-film mammography: impact of mammographic density and hormone therapy on breast cancer detection. Chiarelli AM; Prummel MV; Muradali D; Shumak RS; Majpruz V; Brown P; Jiang H; Done SJ; Yaffe MJ Breast Cancer Res Treat; 2015 Nov; 154(2):377-87. PubMed ID: 26518019 [TBL] [Abstract][Full Text] [Related]
11. Digital mammographic density and breast cancer risk: a case-control study of six alternative density assessment methods. Eng A; Gallant Z; Shepherd J; McCormack V; Li J; Dowsett M; Vinnicombe S; Allen S; dos-Santos-Silva I Breast Cancer Res; 2014 Sep; 16(5):439. PubMed ID: 25239205 [TBL] [Abstract][Full Text] [Related]
12. Mammographic texture resemblance generalizes as an independent risk factor for breast cancer. Nielsen M; Vachon CM; Scott CG; Chernoff K; Karemore G; Karssemeijer N; Lillholm M; Karsdal MA Breast Cancer Res; 2014 Apr; 16(2):R37. PubMed ID: 24713478 [TBL] [Abstract][Full Text] [Related]
13. Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case-control study with digital mammography. Keller BM; Chen J; Daye D; Conant EF; Kontos D Breast Cancer Res; 2015 Aug; 17():117. PubMed ID: 26303303 [TBL] [Abstract][Full Text] [Related]
14. An automated approach for estimation of breast density. Heine JJ; Carston MJ; Scott CG; Brandt KR; Wu FF; Pankratz VS; Sellers TA; Vachon CM Cancer Epidemiol Biomarkers Prev; 2008 Nov; 17(11):3090-7. PubMed ID: 18990749 [TBL] [Abstract][Full Text] [Related]
15. Assessment of a fully automated, high-throughput mammographic density measurement tool for use with processed digital mammograms. Couwenberg AM; Verkooijen HM; Li J; Pijnappel RM; Charaghvandi KR; Hartman M; van Gils CH Cancer Causes Control; 2014 Aug; 25(8):1037-43. PubMed ID: 24962023 [TBL] [Abstract][Full Text] [Related]
16. Novel mammographic image features differentiate between interval and screen-detected breast cancer: a case-case study. Strand F; Humphreys K; Cheddad A; Törnberg S; Azavedo E; Shepherd J; Hall P; Czene K Breast Cancer Res; 2016 Oct; 18(1):100. PubMed ID: 27716311 [TBL] [Abstract][Full Text] [Related]
17. Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case-case analysis. Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Strand F; Kerlikowske K; Shepherd J Med Phys; 2019 Mar; 46(3):1309-1316. PubMed ID: 30697755 [TBL] [Abstract][Full Text] [Related]
18. Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk. Nguyen TL; Aung YK; Evans CF; Dite GS; Stone J; MacInnis RJ; Dowty JG; Bickerstaffe A; Aujard K; Rommens JM; Song YM; Sung J; Jenkins MA; Southey MC; Giles GG; Apicella C; Hopper JL Int J Epidemiol; 2017 Apr; 46(2):652-661. PubMed ID: 28338721 [TBL] [Abstract][Full Text] [Related]
19. Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk for Screen-Detected and Interval Cancers: A Case-Control Study. Kerlikowske K; Scott CG; Mahmoudzadeh AP; Ma L; Winham S; Jensen MR; Wu FF; Malkov S; Pankratz VS; Cummings SR; Shepherd JA; Brandt KR; Miglioretti DL; Vachon CM Ann Intern Med; 2018 Jun; 168(11):757-765. PubMed ID: 29710124 [TBL] [Abstract][Full Text] [Related]
20. A novel automated mammographic density measure and breast cancer risk. Heine JJ; Scott CG; Sellers TA; Brandt KR; Serie DJ; Wu FF; Morton MJ; Schueler BA; Couch FJ; Olson JE; Pankratz VS; Vachon CM J Natl Cancer Inst; 2012 Jul; 104(13):1028-37. PubMed ID: 22761274 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]