BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

104 related articles for article (PubMed ID: 19648535)

  • 1. Use of nomograms for personalized decision-analytic recommendations.
    Fu AZ; Cantor SB; Kattan MW
    Med Decis Making; 2010; 30(2):267-74. PubMed ID: 19648535
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preference assessment method affects decision-analytic recommendations: a prostate cancer treatment example.
    Elkin EB; Cowen ME; Cahill D; Steffel M; Kattan MW
    Med Decis Making; 2004; 24(5):504-10. PubMed ID: 15358999
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Nomograms for risk of hepatocellular carcinoma in patients with chronic hepatitis B virus infection.
    Yang HI; Sherman M; Su J; Chen PJ; Liaw YF; Iloeje UH; Chen CJ
    J Clin Oncol; 2010 May; 28(14):2437-44. PubMed ID: 20368541
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Validation of Partin tables and development of a preoperative nomogram for Japanese patients with clinically localized prostate cancer using 2005 International Society of Urological Pathology consensus on Gleason grading: data from the Clinicopathological Research Group for Localized Prostate Cancer.
    Naito S; Kuroiwa K; Kinukawa N; Goto K; Koga H; Ogawa O; Murai M; Shiraishi T;
    J Urol; 2008 Sep; 180(3):904-9; discussion 909-10. PubMed ID: 18635221
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A nomogram is more accurate than a regression tree in predicting lymph node invasion in prostate cancer.
    Briganti A; Gallina A; Suardi N; Chun FK; Walz J; Heuer R; Salonia A; Haese A; Perrotte P; Valiquette L; Graefen M; Rigatti P; Montorsi F; Huland H; Karakiewicz PI
    BJU Int; 2008 Mar; 101(5):556-60. PubMed ID: 18005204
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A nomogram for predicting low-volume/low-grade prostate cancer: a tool in selecting patients for active surveillance.
    Nakanishi H; Wang X; Ochiai A; Trpkov K; Yilmaz A; Donnelly JB; Davis JW; Troncoso P; Babaian RJ
    Cancer; 2007 Dec; 110(11):2441-7. PubMed ID: 17932909
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of neural networks and logistic regression analysis for predicting pathological stage in men undergoing radical prostatectomy: a population based study.
    Borque A; Sanz G; Allepuz C; Plaza L; Gil P; Rioja LA
    J Urol; 2001 Nov; 166(5):1672-8. PubMed ID: 11586200
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pre-treatment nomogram for disease-specific survival of patients with chemotherapy-naive androgen independent prostate cancer.
    Svatek R; Karakiewicz PI; Shulman M; Karam J; Perrotte P; Benaim E
    Eur Urol; 2006 Apr; 49(4):666-74. PubMed ID: 16423446
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting the presence and side of extracapsular extension: a nomogram for staging prostate cancer.
    Ohori M; Kattan MW; Koh H; Maru N; Slawin KM; Shariat S; Muramoto M; Reuter VE; Wheeler TM; Scardino PT
    J Urol; 2004 May; 171(5):1844-9; discussion 1849. PubMed ID: 15076291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A catalog of prostate cancer nomograms.
    Ross PL; Scardino PT; Kattan MW
    J Urol; 2001 May; 165(5):1562-8. PubMed ID: 11342918
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of a nomogram to predict probability of positive initial prostate biopsy among Japanese patients.
    Suzuki H; Komiya A; Kamiya N; Imamoto T; Kawamura K; Miura J; Suzuki N; Nakatsu H; Hata A; Ichikawa T
    Urology; 2006 Jan; 67(1):131-6. PubMed ID: 16413348
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a new nomogram for predicting the probability of a positive initial prostate biopsy in Japanese patients with serum PSA levels less than 10 ng/mL.
    Kawamura K; Suzuki H; Kamiya N; Imamoto T; Yano M; Miura J; Shimbo M; Suzuki N; Nakatsu H; Ichikawa T
    Int J Urol; 2008 Jul; 15(7):598-603. PubMed ID: 18462353
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A preoperative nomogram identifying decreased risk of positive pelvic lymph nodes in patients with prostate cancer.
    Cagiannos I; Karakiewicz P; Eastham JA; Ohori M; Rabbani F; Gerigk C; Reuter V; Graefen M; Hammerer PG; Erbersdobler A; Huland H; Kupelian P; Klein E; Quinn DI; Henshall SM; Grygiel JJ; Sutherland RL; Stricker PD; Morash CG; Scardino PT; Kattan MW
    J Urol; 2003 Nov; 170(5):1798-803. PubMed ID: 14532779
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development, validation, and head-to-head comparison of logistic regression-based nomograms and artificial neural network models predicting prostate cancer on initial extended biopsy.
    Kawakami S; Numao N; Okubo Y; Koga F; Yamamoto S; Saito K; Fujii Y; Yonese J; Masuda H; Kihara K; Fukui I
    Eur Urol; 2008 Sep; 54(3):601-11. PubMed ID: 18207312
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature.
    Shariat SF; Karakiewicz PI; Suardi N; Kattan MW
    Clin Cancer Res; 2008 Jul; 14(14):4400-7. PubMed ID: 18628454
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictive modeling for the presence of prostate carcinoma using clinical, laboratory, and ultrasound parameters in patients with prostate specific antigen levels < or = 10 ng/mL.
    Garzotto M; Hudson RG; Peters L; Hsieh YC; Barrera E; Mori M; Beer TM; Klein T
    Cancer; 2003 Oct; 98(7):1417-22. PubMed ID: 14508828
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram to predict subsequent brain metastasis in patients with metastatic breast cancer.
    Graesslin O; Abdulkarim BS; Coutant C; Huguet F; Gabos Z; Hsu L; Marpeau O; Uzan S; Pusztai L; Strom EA; Hortobagyi GN; Rouzier R; Ibrahim NK
    J Clin Oncol; 2010 Apr; 28(12):2032-7. PubMed ID: 20308667
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer.
    Chun FK; Karakiewicz PI; Briganti A; Walz J; Kattan MW; Huland H; Graefen M
    BJU Int; 2007 Apr; 99(4):794-800. PubMed ID: 17378842
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Can nomograms derived in the U.S. applied to German patients? A study about the validation of preoperative nomograms predicting the risk of recurrence after radical prostatectomy].
    Graefen M; Augustin H; Karakiewicz PI; Hammerer PG; Haese A; Palisaar J; Fernandez S; Noldus J; Erbersdobler A; Cagiannos I; Scardino PT; Kattan MW; Huland H
    Urologe A; 2003 May; 42(5):685-92. PubMed ID: 12750804
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preoperative neural network using combined magnetic resonance imaging variables, prostate-specific antigen, and gleason score for predicting prostate cancer biochemical recurrence after radical prostatectomy.
    Poulakis V; Witzsch U; de Vries R; Emmerlich V; Meves M; Altmannsberger HM; Becht E
    Urology; 2004 Dec; 64(6):1165-70. PubMed ID: 15596191
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.