BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 38416890)

  • 21. Clinical performance metrics of 3D digital breast tomosynthesis compared with 2D digital mammography for breast cancer screening in community practice.
    Greenberg JS; Javitt MC; Katzen J; Michael S; Holland AE
    AJR Am J Roentgenol; 2014 Sep; 203(3):687-93. PubMed ID: 24918774
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.
    Yoon JH; Kim EK; Kim GR; Han K; Moon HJ
    AJR Am J Roentgenol; 2022 Jan; 218(1):42-51. PubMed ID: 34378399
    [No Abstract]   [Full Text] [Related]  

  • 23. An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
    Lauritzen AD; Rodríguez-Ruiz A; von Euler-Chelpin MC; Lynge E; Vejborg I; Nielsen M; Karssemeijer N; Lillholm M
    Radiology; 2022 Jul; 304(1):41-49. PubMed ID: 35438561
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Screening Mammography Performance Metrics of 2D Digital Mammography Versus Digital Breast Tomosynthesis in Women With a Personal History of Breast Cancer.
    Chikarmane SA; Cochon LR; Khorasani R; Sahu S; Giess CS
    AJR Am J Roentgenol; 2021 Sep; 217(3):587-594. PubMed ID: 32966113
    [No Abstract]   [Full Text] [Related]  

  • 25. Mammographic Screening in Routine Practice: Multisite Study of Digital Breast Tomosynthesis and Digital Mammography Screenings.
    Conant EF; Talley MM; Parghi CR; Sheh BC; Liang SY; Pohlman S; Rane A; Jung Y; Stevens LAS; Paulus JK; Alsheik N
    Radiology; 2023 May; 307(3):e221571. PubMed ID: 36916891
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.
    Lång K; Josefsson V; Larsson AM; Larsson S; Högberg C; Sartor H; Hofvind S; Andersson I; Rosso A
    Lancet Oncol; 2023 Aug; 24(8):936-944. PubMed ID: 37541274
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Five Consecutive Years of Screening with Digital Breast Tomosynthesis: Outcomes by Screening Year and Round.
    Conant EF; Zuckerman SP; McDonald ES; Weinstein SP; Korhonen KE; Birnbaum JA; Tobey JD; Schnall MD; Hubbard RA
    Radiology; 2020 May; 295(2):285-293. PubMed ID: 32154771
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A comparative efficacy study of diagnostic digital breast tomosynthesis and digital mammography in BI-RADS 4 breast cancer diagnosis.
    Ezeana CF; Puppala M; Wang L; Chang JC; Wong STC
    Eur J Radiol; 2022 Aug; 153():110361. PubMed ID: 35617870
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Community-Based Breast Cancer Screening Using Digital Breast Tomosynthesis Versus Digital Mammography: Comparison of Screening Performance and Tumor Characteristics.
    Regen-Tuero HC; Ram S; Gass JS; Lourenco AP
    AJR Am J Roentgenol; 2022 Feb; 218(2):249-257. PubMed ID: 34523954
    [No Abstract]   [Full Text] [Related]  

  • 30. Artificial intelligence computer-aided detection enhances synthesized mammograms: comparison with original digital mammograms alone and in combination with tomosynthesis images in an experimental setting.
    Uematsu T; Nakashima K; Harada TL; Nasu H; Igarashi T
    Breast Cancer; 2023 Jan; 30(1):46-55. PubMed ID: 36001270
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study.
    Dembrower K; Crippa A; Colón E; Eklund M; Strand F;
    Lancet Digit Health; 2023 Oct; 5(10):e703-e711. PubMed ID: 37690911
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Retrospective comparison between single reading plus an artificial intelligence algorithm and two-view digital tomosynthesis with double reading in breast screening.
    Graewingholt A; Duffy S
    J Med Screen; 2021 Sep; 28(3):365-368. PubMed ID: 33402033
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Clinical implementation of synthesized mammography with digital breast tomosynthesis in a routine clinical practice.
    Freer PE; Riegert J; Eisenmenger L; Ose D; Winkler N; Stein MA; Stoddard GJ; Hess R
    Breast Cancer Res Treat; 2017 Nov; 166(2):501-509. PubMed ID: 28780702
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art.
    Sechopoulos I; Teuwen J; Mann R
    Semin Cancer Biol; 2021 Jul; 72():214-225. PubMed ID: 32531273
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Artificial Intelligence in Breast Imaging: A Special Focus on Advances in Digital Mammography & Digital Breast Tomosynthesis.
    Avendaño D; Sofia C; Zapata P; Portaluri A; Maria Orlando AA; Avalos P; Blandino A; Ascenti G; Cardona-Huerta S; Marino MA
    Curr Med Imaging; 2023; 19(8):799-806. PubMed ID: 36443968
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of performance metrics with digital 2D versus tomosynthesis mammography in the diagnostic setting.
    Bahl M; Mercaldo S; Vijapura CA; McCarthy AM; Lehman CD
    Eur Radiol; 2019 Feb; 29(2):477-484. PubMed ID: 29967957
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Impact of artificial intelligence in breast cancer screening with mammography.
    Dang LA; Chazard E; Poncelet E; Serb T; Rusu A; Pauwels X; Parsy C; Poclet T; Cauliez H; Engelaere C; Ramette G; Brienne C; Dujardin S; Laurent N
    Breast Cancer; 2022 Nov; 29(6):967-977. PubMed ID: 35763243
    [TBL] [Abstract][Full Text] [Related]  

  • 38. One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study.
    Zackrisson S; Lång K; Rosso A; Johnson K; Dustler M; Förnvik D; Förnvik H; Sartor H; Timberg P; Tingberg A; Andersson I
    Lancet Oncol; 2018 Nov; 19(11):1493-1503. PubMed ID: 30322817
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.
    Kim HE; Kim HH; Han BK; Kim KH; Han K; Nam H; Lee EH; Kim EK
    Lancet Digit Health; 2020 Mar; 2(3):e138-e148. PubMed ID: 33334578
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Radiologist Characteristics Associated with Interpretive Performance of Screening Mammography: A National Mammography Database (NMD) Study.
    Lee CS; Moy L; Hughes D; Golden D; Bhargavan-Chatfield M; Hemingway J; Geras A; Duszak R; Rosenkrantz AB
    Radiology; 2021 Sep; 300(3):518-528. PubMed ID: 34156300
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.