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 *

163 related articles for article (PubMed ID: 29994316)

  • 1. A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods.
    Du Y; Almajalid R; Shan J; Zhang M
    IEEE Trans Nanobioscience; 2018 Jul; 17(3):228-236. PubMed ID: 29994316
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of medial tibiofemoral compartment joint space loss progression using volumetric cartilage measurements: Data from the FNIH OA biomarkers consortium.
    Hafezi-Nejad N; Guermazi A; Roemer FW; Hunter DJ; Dam EB; Zikria B; Kwoh CK; Demehri S
    Eur Radiol; 2017 Feb; 27(2):464-473. PubMed ID: 27221563
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a rapid knee cartilage damage quantification method using magnetic resonance images.
    Zhang M; Driban JB; Price LL; Harper D; Lo GH; Miller E; Ward RJ; McAlindon TE
    BMC Musculoskelet Disord; 2014 Aug; 15():264. PubMed ID: 25098589
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hand joint space narrowing and osteophytes are associated with magnetic resonance imaging-defined knee cartilage thickness and radiographic knee osteoarthritis: data from the Osteoarthritis Initiative.
    Haugen IK; Cotofana S; Englund M; Kvien TK; Dreher D; Nevitt M; Lane NE; Eckstein F;
    J Rheumatol; 2012 Jan; 39(1):161-6. PubMed ID: 22045837
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Magnetic resonance imaging lesions are more severe and cartilage T2 relaxation time measurements are higher in isolated lateral compartment radiographic knee osteoarthritis than in isolated medial compartment disease - data from the Osteoarthritis Initiative.
    Wise BL; Niu J; Guermazi A; Liu F; Heilmeier U; Ku E; Lynch JA; Zhang Y; Felson DT; Kwoh CK; Lane NE
    Osteoarthritis Cartilage; 2017 Jan; 25(1):85-93. PubMed ID: 27539891
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mitochondrial DNA (mtDNA) haplogroups influence the progression of knee osteoarthritis. Data from the Osteoarthritis Initiative (OAI).
    Soto-Hermida A; Fernández-Moreno M; Oreiro N; Fernández-López C; Pértega S; Cortés-Pereira E; Rego-Pérez I; Blanco FJ
    PLoS One; 2014; 9(11):e112735. PubMed ID: 25390621
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of a Rapid Cartilage Damage Quantification Method for the Lateral Tibiofemoral Compartment Using Magnetic Resonance Images: Data from the Osteoarthritis Initiative.
    Zhang M; Driban JB; Price LL; Lo GH; Miller E; McAlindon TE
    Biomed Res Int; 2015; 2015():634275. PubMed ID: 26713316
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Severe radiographic knee osteoarthritis--does Kellgren and Lawrence grade 4 represent end stage disease?--the MOST study.
    Guermazi A; Hayashi D; Roemer F; Felson DT; Wang K; Lynch J; Amin S; Torner J; Lewis CE; Nevitt MC
    Osteoarthritis Cartilage; 2015 Sep; 23(9):1499-505. PubMed ID: 25929973
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.
    Teoh YX; Othmani A; Lai KW; Goh SL; Usman J
    Comput Methods Programs Biomed; 2023 Dec; 242():107807. PubMed ID: 37778138
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Role of full-thickness cartilage defects in knee osteoarthritis (OA) incidence and progression: Data from the OA Initiative.
    Everhart JS; Abouljoud MM; Flanigan DC
    J Orthop Res; 2019 Jan; 37(1):77-83. PubMed ID: 30230013
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Separation of healthy and early osteoarthritis by automatic quantification of cartilage homogeneity.
    Qazi AA; Folkesson J; Pettersen PC; Karsdal MA; Christiansen C; Dam EB
    Osteoarthritis Cartilage; 2007 Oct; 15(10):1199-206. PubMed ID: 17493841
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Risk factors associated with the loss of cartilage volume on weight-bearing areas in knee osteoarthritis patients assessed by quantitative magnetic resonance imaging: a longitudinal study.
    Pelletier JP; Raynauld JP; Berthiaume MJ; Abram F; Choquette D; Haraoui B; Beary JF; Cline GA; Meyer JM; Martel-Pelletier J
    Arthritis Res Ther; 2007; 9(4):R74. PubMed ID: 17672891
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of conventional standing knee radiographs and magnetic resonance imaging in assessing progression of tibiofemoral joint osteoarthritis.
    Cicuttini F; Hankin J; Jones G; Wluka A
    Osteoarthritis Cartilage; 2005 Aug; 13(8):722-7. PubMed ID: 15922634
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tibiofemoral subchondral surface ratio (SSR) is a predictor of osteoarthritis symptoms and radiographic progression: data from the Osteoarthritis Initiative (OAI).
    Everhart JS; Siston RA; Flanigan DC
    Osteoarthritis Cartilage; 2014 Jun; 22(6):771-8. PubMed ID: 24742954
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Baseline radiographic osteoarthritis and semi-quantitatively assessed meniscal damage and extrusion and cartilage damage on MRI is related to quantitatively defined cartilage thickness loss in knee osteoarthritis: the Multicenter Osteoarthritis Study.
    Guermazi A; Eckstein F; Hayashi D; Roemer FW; Wirth W; Yang T; Niu J; Sharma L; Nevitt MC; Lewis CE; Torner J; Felson DT
    Osteoarthritis Cartilage; 2015 Dec; 23(12):2191-2198. PubMed ID: 26162806
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiologic markers of osteoarthritis progression.
    Hunter DJ; Le Graverand MP; Eckstein F
    Curr Opin Rheumatol; 2009 Mar; 21(2):110-7. PubMed ID: 19339920
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic morphometric cartilage quantification in the medial tibial plateau from MRI for osteoarthritis grading.
    Dam EB; Folkesson J; Pettersen PC; Christiansen C
    Osteoarthritis Cartilage; 2007 Jul; 15(7):808-18. PubMed ID: 17353132
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Natural history of cartilage damage and osteoarthritis progression on magnetic resonance imaging in a population-based cohort with knee pain.
    Cibere J; Sayre EC; Guermazi A; Nicolaou S; Kopec JA; Esdaile JM; Thorne A; Singer J; Wong H
    Osteoarthritis Cartilage; 2011 Jun; 19(6):683-8. PubMed ID: 21329760
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.
    Shah RF; Martinez AM; Pedoia V; Majumdar S; Vail TP; Bini SA
    J Arthroplasty; 2019 Oct; 34(10):2210-2215. PubMed ID: 31445869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative.
    Joseph GB; McCulloch CE; Nevitt MC; Link TM; Sohn JH
    Osteoarthritis Cartilage; 2022 Feb; 30(2):270-279. PubMed ID: 34800631
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.