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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

192 related articles for article (PubMed ID: 36585732)

  • 1. Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature.
    Anandarajah A; Chen Y; Colditz GA; Hardi A; Stoll C; Jiang S
    Breast Cancer Res; 2022 Dec; 24(1):101. PubMed ID: 36585732
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature.
    Anandarajah A; Chen Y; Stoll C; Hardi A; Jiang S; Colditz GA
    Cancer Causes Control; 2023 Nov; 34(11):939-948. PubMed ID: 37340148
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment.
    Gastounioti A; Conant EF; Kontos D
    Breast Cancer Res; 2016 Sep; 18(1):91. PubMed ID: 27645219
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study.
    Winkel RR; von Euler-Chelpin M; Nielsen M; Petersen K; Lillholm M; Nielsen MB; Lynge E; Uldall WY; Vejborg I
    BMC Cancer; 2016 Jul; 16():414. PubMed ID: 27387546
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment.
    Zheng Y; Keller BM; Ray S; Wang Y; Conant EF; Gee JC; Kontos D
    Med Phys; 2015 Jul; 42(7):4149-60. PubMed ID: 26133615
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computerized texture analysis of mammographic parenchymal patterns of digitized mammograms.
    Li H; Giger ML; Olopade OI; Margolis A; Lan L; Chinander MR
    Acad Radiol; 2005 Jul; 12(7):863-73. PubMed ID: 16039540
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel method of determining breast cancer risk using parenchymal textural analysis of mammography images on an Asian cohort.
    Tan M; Mariapun S; Yip CH; Ng KH; Teo SH
    Phys Med Biol; 2019 Jan; 64(3):035016. PubMed ID: 30577031
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study.
    Kontos D; Bakic PR; Carton AK; Troxel AB; Conant EF; Maidment AD
    Acad Radiol; 2009 Mar; 16(3):283-98. PubMed ID: 19201357
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mammographic texture and risk of breast cancer by tumor type and estrogen receptor status.
    Malkov S; Shepherd JA; Scott CG; Tamimi RM; Ma L; Bertrand KA; Couch F; Jensen MR; Mahmoudzadeh AP; Fan B; Norman A; Brandt KR; Pankratz VS; Vachon CM; Kerlikowske K
    Breast Cancer Res; 2016 Dec; 18(1):122. PubMed ID: 27923387
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure: a preliminary study in a high-risk population.
    Daye D; Keller B; Conant EF; Chen J; Schnall MD; Maidment AD; Kontos D
    Acad Radiol; 2013 May; 20(5):635-46. PubMed ID: 23570938
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment.
    Kontos D; Winham SJ; Oustimov A; Pantalone L; Hsieh MK; Gastounioti A; Whaley DH; Hruska CB; Kerlikowske K; Brandt K; Conant EF; Vachon CM
    Radiology; 2019 Jan; 290(1):41-49. PubMed ID: 30375931
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The combined effect of mammographic texture and density on breast cancer risk: a cohort study.
    Wanders JOP; van Gils CH; Karssemeijer N; Holland K; Kallenberg M; Peeters PHM; Nielsen M; Lillholm M
    Breast Cancer Res; 2018 May; 20(1):36. PubMed ID: 29720220
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets.
    Li H; Giger ML; Lan L; Bancroft Brown J; MacMahon A; Mussman M; Olopade OI; Sennett C
    J Digit Imaging; 2012 Oct; 25(5):591-8. PubMed ID: 22246204
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mammographic features and subsequent risk of breast cancer: a comparison of qualitative and quantitative evaluations in the Guernsey prospective studies.
    Torres-Mejía G; De Stavola B; Allen DS; Pérez-Gavilán JJ; Ferreira JM; Fentiman IS; Dos Santos Silva I
    Cancer Epidemiol Biomarkers Prev; 2005 May; 14(5):1052-9. PubMed ID: 15894652
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.
    Kontos D; Ikejimba LC; Bakic PR; Troxel AB; Conant EF; Maidment AD
    Radiology; 2011 Oct; 261(1):80-91. PubMed ID: 21771961
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening mammography for women aged 40 to 49 years at average risk for breast cancer: an evidence-based analysis.
    Medical Advisory Secretariat
    Ont Health Technol Assess Ser; 2007; 7(1):1-32. PubMed ID: 23074501
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Global parenchymal texture features based on histograms of oriented gradients improve cancer development risk estimation from healthy breasts.
    Pérez-Benito FJ; Signol F; Pérez-Cortés JC; Pollán M; Pérez-Gómez B; Salas-Trejo D; Casals M; Martínez I; LLobet R
    Comput Methods Programs Biomed; 2019 Aug; 177():123-132. PubMed ID: 31319940
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review.
    Atakpa EC; Thorat MA; Cuzick J; Brentnall AR
    Cochrane Database Syst Rev; 2021 Oct; 10(10):CD013091. PubMed ID: 34697802
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Mammographic Breast Density: Current Assessment Methods, Clinical Implications, and Future Directions.
    Edmonds CE; O'Brien SR; Conant EF
    Semin Ultrasound CT MR; 2023 Feb; 44(1):35-45. PubMed ID: 36792272
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.