6 Einträge gefunden

1. A nomogram is more accurate than a regression tree in predicting lymph node invasion in prostate cancer.

   1. Briganti, Alberto
   2. Gallina, Andrea
   3. Suardi, Nazareno
   4. Chun, Felix
   5. Walz, Jochen
   6. Heuer, Roman
   7. Salonia, Andrea

   2008 - Forschungsinformationssystem des UKE
2. Lower urinary tract symptoms affect one-third of men in a prostate cancer screening population.

   1. Walz, Jochen
   2. Nazareno, Suardi
   3. Hutterer, Georg C
   4. Perrotte, Paul
   5. Gallina, Andrea
   6. Bénard, Francois
   7. Valiquette, Luc

   2008 - Forschungsinformationssystem des UKE
3. Percentage of positive biopsy cores can improve the ability to predict lymph node invasion in patients undergoing radical prostatectomy and extended pelvic lymph node dissection.

   1. Briganti, Alberto
   2. Karakiewicz, Pierre I
   3. Chun, Felix
   4. Gallina, Andrea
   5. Salonia, Andrea
   6. Zanni, Giuseppe
   7. Valiquette, Luc

   2007 - Forschungsinformationssystem des UKE
4. Systematic assessment of the ability of the number and percentage of positive biopsy cores to predict pathologic stage and biochemical recurrence after radical prostatectomy.

   1. Briganti, Alberto
   2. Chun, Felix
   3. Hutterer, Georg C
   4. Gallina, Andrea
   5. Shariat, Shahrokh F
   6. Salonia, Andrea
   7. Scattoni, Vincenzo

   2007 - Forschungsinformationssystem des UKE
5. Development and split-sample validation of a nomogram predicting the probability of seminal vesicle invasion at radical prostatectomy.

   1. Gallina, Andrea
   2. Chun, Felix
   3. Briganti, Alberto
   4. Shariat, Shahrokh F
   5. Montorsi, Francesco
   6. Salonia, Andrea
   7. Erbersdobler, Andreas

   2007 - Forschungsinformationssystem des UKE
6. A nomogram predicting 10-year life expectancy in candidates for radical prostatectomy or radiotherapy for prostate cancer.

   1. Walz, Jochen
   2. Gallina, Andrea
   3. Saad, Fred
   4. Montorsi, Francesco
   5. Perrotte, Paul
   6. Shariat, Shahrokh F
   7. Jeldres, Claudio

   2007 - Forschungsinformationssystem des UKE