153 related articles for article (PubMed ID: 19455449)
1. Accuracy of 3-Tesla magnetic resonance imaging for the staging of prostate cancer in comparison to the Partin tables.
Augustin H; Fritz GA; Ehammer T; Auprich M; Pummer K
Acta Radiol; 2009 Jun; 50(5):562-9. PubMed ID: 19455449
[TBL] [Abstract][Full Text] [Related]
2. Comparing 3-T multiparametric MRI and the Partin tables to predict organ-confined prostate cancer after radical prostatectomy.
Gupta RT; Faridi KF; Singh AA; Passoni NM; Garcia-Reyes K; Madden JF; Polascik TJ
Urol Oncol; 2014 Nov; 32(8):1292-9. PubMed ID: 24863013
[TBL] [Abstract][Full Text] [Related]
3. One-Stop-Shop Whole-Body
Thalgott M; Düwel C; Rauscher I; Heck MM; Haller B; Gafita A; Gschwend JE; Schwaiger M; Maurer T; Eiber M
J Nucl Med; 2018 Dec; 59(12):1850-1856. PubMed ID: 29794224
[TBL] [Abstract][Full Text] [Related]
4. Can Radiologic Staging With Multiparametric MRI Enhance the Accuracy of the Partin Tables in Predicting Organ-Confined Prostate Cancer?
Gupta RT; Brown AF; Silverman RK; Tay KJ; Madden JF; George DJ; Polascik TJ
AJR Am J Roentgenol; 2016 Jul; 207(1):87-95. PubMed ID: 27064383
[TBL] [Abstract][Full Text] [Related]
5. Comparison of accuracy between the Partin tables of 1997 and 2001 to predict final pathological stage in clinically localized prostate cancer.
Augustin H; Eggert T; Wenske S; Karakiewicz PI; Palisaar J; Daghofer F; Huland H; Graefen M
J Urol; 2004 Jan; 171(1):177-81. PubMed ID: 14665871
[TBL] [Abstract][Full Text] [Related]
6. Transition zone cancers undermine the predictive accuracy of Partin table stage predictions.
Steuber T; Karakiewicz PI; Augustin H; Erbersdobler A; Lange I; Haese A; Chun KH; Walz J; Graefen M; Huland H
J Urol; 2005 Mar; 173(3):737-41. PubMed ID: 15711259
[TBL] [Abstract][Full Text] [Related]
7. Prostate cancers detected by saturation repeat biopsy impairs the Partin tables' accuracy to predict final pathological stage.
Augustin H; Auprich M; Mannweiler S; Pachernegg O; Al-Ali BM; Pummer K
BJU Int; 2012 Aug; 110(3):363-8. PubMed ID: 22093162
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric MRI Improves Accuracy of Clinical Nomograms for Predicting Extracapsular Extension of Prostate Cancer.
Feng TS; Sharif-Afshar AR; Wu J; Li Q; Luthringer D; Saouaf R; Kim HL
Urology; 2015 Aug; 86(2):332-7. PubMed ID: 26194289
[TBL] [Abstract][Full Text] [Related]
9. Validation of Partin tables for predicting pathological stage of clinically localized prostate cancer.
Blute ML; Bergstralh EJ; Partin AW; Walsh PC; Kattan MW; Scardino PT; Montie JE; Pearson JD; Slezak JM; Zincke H
J Urol; 2000 Nov; 164(5):1591-5. PubMed ID: 11025711
[TBL] [Abstract][Full Text] [Related]
10. The Incremental Role of Magnetic Resonance Imaging for Prostate Cancer Staging before Radical Prostatectomy.
Morlacco A; Sharma V; Viers BR; Rangel LJ; Carlson RE; Froemming AT; Karnes RJ
Eur Urol; 2017 May; 71(5):701-704. PubMed ID: 27576750
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Are Partin tables suitable for Chinese patients with prostate cancer?
Shen XC; Qiu YQ; Zheng YC; Zhang SZ
Chin Med J (Engl); 2012 Nov; 125(21):3795-9. PubMed ID: 23106876
[TBL] [Abstract][Full Text] [Related]
13. Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.
Wang J; Wu CJ; Bao ML; Zhang J; Shi HB; Zhang YD
J Magn Reson Imaging; 2018 Aug; 48(2):499-506. PubMed ID: 29437268
[TBL] [Abstract][Full Text] [Related]
14. Multiparametric MRI in detection and staging of prostate cancer.
Boesen L
Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
[TBL] [Abstract][Full Text] [Related]
15. Partin Tables cannot accurately predict the pathological stage at radical prostatectomy.
Bhojani N; Ahyai S; Graefen M; Capitanio U; Suardi N; Shariat SF; Jeldres C; Erbersdobler A; Schlomm T; Haese A; Steuber T; Heinzer H; Montorsi F; Huland H; Karakiewicz PI
Eur J Surg Oncol; 2009 Feb; 35(2):123-8. PubMed ID: 18786800
[TBL] [Abstract][Full Text] [Related]
16. Accuracy of Multiparametric Magnetic Resonance Imaging for Extracapsular Extension of Prostate Cancer in Community Practice.
Davis R; Salmasi A; Koprowski C; Kim S; Kwon YS; Faiena I; Patel N; Elsamra SE; Kim IY
Clin Genitourin Cancer; 2016 Dec; 14(6):e617-e622. PubMed ID: 27188968
[TBL] [Abstract][Full Text] [Related]
17. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers.
Regnier-Coudert O; McCall J; Lothian R; Lam T; McClinton S; N'dow J
Artif Intell Med; 2012 May; 55(1):25-35. PubMed ID: 22206941
[TBL] [Abstract][Full Text] [Related]
18. Comparison of accuracy among three generations of Partin tables in a Chinese cohort.
Xiao WJ; Ye DW; Yao XD; Zhang SL; Dai B; Wang CF; Wang J; Zhang HL; Shen YJ; Zhu Y; Zhu YP; Shi GH; Ma CG; Qin XJ; Lin GW
Can J Urol; 2011 Apr; 18(2):5619-24. PubMed ID: 21504650
[TBL] [Abstract][Full Text] [Related]
19. The newer the better? Comparison of the 1997 and 2001 partin tables for pathologic stage prediction of prostate cancer in China.
Gao X; Ren S; Lu X; Xu C; Sun Y
Urology; 2008 Nov; 72(5):1096-101. PubMed ID: 18822453
[TBL] [Abstract][Full Text] [Related]
20. Seminal vesicle invasion on multi-parametric magnetic resonance imaging: Correlation with histopathology.
Grivas N; Hinnen K; de Jong J; Heemsbergen W; Moonen L; Witteveen T; van der Poel H; Heijmink S
Eur J Radiol; 2018 Jan; 98():107-112. PubMed ID: 29279147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
