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Items: 15


Developing a new score system for patients with PSA ranging from 4 to 20 ng/mL to improve the accuracy of PCa detection.

Zheng Y, Huang Y, Cheng G, Zhang C, Wu J, Qin C, Hua L, Wang Z.

Springerplus. 2016 Sep 5;5(1):1484. doi: 10.1186/s40064-016-3176-3. eCollection 2016 Sep 5.


Nomograms for colorectal cancer: A systematic review.

Kawai K, Sunami E, Yamaguchi H, Ishihara S, Kazama S, Nozawa H, Hata K, Kiyomatsu T, Tanaka J, Tanaka T, Nishikawa T, Kitayama J, Watanabe T.

World J Gastroenterol. 2015 Nov 7;21(41):11877-86. doi: 10.3748/wjg.v21.i41.11877.


African American men with low-grade prostate cancer have increased disease recurrence after prostatectomy compared with Caucasian men.

Yamoah K, Deville C, Vapiwala N, Spangler E, Zeigler-Johnson CM, Malkowicz B, Lee DI, Kattan M, Dicker AP, Rebbeck TR.

Urol Oncol. 2015 Feb;33(2):70.e15-22. doi: 10.1016/j.urolonc.2014.07.005. Epub 2014 Oct 7.


A risk prediction model for smoking experimentation in Mexican American youth.

Talluri R, Wilkinson AV, Spitz MR, Shete S.

Cancer Epidemiol Biomarkers Prev. 2014 Oct;23(10):2165-74. doi: 10.1158/1055-9965.EPI-14-0467. Epub 2014 Jul 25.


Nomogram for prediction of prostate cancer with serum prostate specific antigen less than 10 ng/mL.

Ahn JH, Lee JZ, Chung MK, Ha HK.

J Korean Med Sci. 2014 Mar;29(3):338-42. doi: 10.3346/jkms.2014.29.3.338. Epub 2014 Feb 27.


A prostate biopsy strategy based on a new clinical nomogram reduces the number of biopsy cores required in high-risk patients.

Huang Y, Cheng G, Liu B, Shao P, Qin C, Li J, Hua L, Yin C.

BMC Urol. 2014 Jan 11;14:8. doi: 10.1186/1471-2490-14-8.


Chinese nomogram to predict probability of positive initial prostate biopsy: a study in Taiwan region.

Kuo SC, Hung SH, Wang HY, Chien CC, Lu CL, Lin HJ, Guo HR, Zou JF, Lin CS, Huang CC.

Asian J Androl. 2013 Nov;15(6):780-4. doi: 10.1038/aja.2013.100. Epub 2013 Oct 14.


External validation of an artificial neural network and two nomograms for prostate cancer detection.

Ecke TH, Hallmann S, Koch S, Ruttloff J, Cammann H, Gerullis H, Miller K, Stephan C.

ISRN Urol. 2012;2012:643181. doi: 10.5402/2012/643181. Epub 2012 Jul 5.


Critical review of prostate cancer predictive tools.

Shariat SF, Kattan MW, Vickers AJ, Karakiewicz PI, Scardino PT.

Future Oncol. 2009 Dec;5(10):1555-84. doi: 10.2217/fon.09.121. Review.


Predictive models for newly diagnosed prostate cancer patients.

Lowrance WT, Scardino PT.

Rev Urol. 2009 Summer;11(3):117-26.


Discovery and validation of urinary biomarkers for prostate cancer.

Theodorescu D, Schiffer E, Bauer HW, Douwes F, Eichhorn F, Polley R, Schmidt T, Schöfer W, Zürbig P, Good DM, Coon JJ, Mischak H.

Proteomics Clin Appl. 2008 Mar 7;2(4):556-570.


Evaluation of the Prostate Cancer Prevention Trial Risk calculator in a high-risk screening population.

Kaplan DJ, Boorjian SA, Ruth K, Egleston BL, Chen DY, Viterbo R, Uzzo RG, Buyyounouski MK, Raysor S, Giri VN.

BJU Int. 2010 Feb;105(3):334-7. doi: 10.1111/j.1464-410X.2009.08793.x. Epub 2009 Aug 25.


Using biopsy to detect prostate cancer.

Shariat SF, Roehrborn CG.

Rev Urol. 2008 Fall;10(4):262-80.


Predicting the outcome of prostate biopsy: comparison of a novel logistic regression-based model, the prostate cancer risk calculator, and prostate-specific antigen level alone.

Hernandez DJ, Han M, Humphreys EB, Mangold LA, Taneja SS, Childs SJ, Bartsch G, Partin AW.

BJU Int. 2009 Mar;103(5):609-14. doi: 10.1111/j.1464-410X.2008.08127.x. Epub 2008 Oct 24.


Development and validation of a nomogram predicting the outcome of prostate biopsy based on patient age, digital rectal examination and serum prostate specific antigen.

Karakiewicz PI, Benayoun S, Kattan MW, Perrotte P, Valiquette L, Scardino PT, Cagiannos I, Heinzer H, Tanguay S, Aprikian AG, Huland H, Graefen M.

J Urol. 2005 Jun;173(6):1930-4.

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