Literatur
Robert Koch Institut: Interaktive Datenbankabfrage auf http://www.rki.de
Kurth KH, Denis L, Bouffioux Ch et al. (1995) Factors affecting recurrence and progression in superficial bladder tumours. Eur J Cancer 31A: 1840–1846
Millan-Rodriguez F, Chechile-Toniolo G, Salvador-Bayarri J et al. (2000) Primary superficial bladder cancer risk groups according to progression, mortality and recurrence. J Urol 164: 680–684
Esrig D, Spruck CH, Nichols PW et al. (1993) P53 nuclear protein accumulation correlates with mutations in the p53 gene, tumor grade and stage in bladder cancer. Am J Pathol 143: 1389–1397
Sarkis AS, Dalbagni G, Cordon-Cardo C et al. (1993) Nuclear overexpression of p53 protein in transitional cell bladder carcinoma: a marker for disease progression. J Natl Cancer Inst 85: 53–59
Neal DE, Sharples L, Smith K et al. (1990) The epidermal growth factor receptor and the prognosis of bladder cancer. Cancer 65: 1619
Sato K, Moriyama M, Mori S et al. (1992) An immunohistologic evaluation of c-erbB-2 gene product in patients with urinary bladder carcinoma. Cancer 70: 2493
Yates DR, Rehman I, Abbod MF et al. (2007) Promoter hypermethilation identifies progression risk in bladder cancer. Clin Cancer Res 13: 2046–2053
Yin W, Chen N, Zhang Y et al. (2006) Survivin nuclear labeling index: a superior biomarker in superficial urothelial carcinoma of human urinary bladder. Mod Pathol 19: 1487–1497
Planz B, Deix T, Draxler V et al. (2003) Doimmuno histochemical markers increase outcome pudiction of a neural network for patarots with bladder cancer. Eur J Urol Suppl
Burke HB, Goodman PH, Rosen DB et al. (1997) Artificial neural networks improve the accuracy of cancer survival prediction. Cancer (Phila) 79: 857–862
Zlotta AR, Remzi M, Snow PB et al. (2003) An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng/ml or less. J Urol 169: 1724–1728
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Planz, B., Deix, T. & Caspers, H. Vorhersage von Tumorrezidiv und Progress beim oberflächlichen Blasenkarzinom durch Verwendung eines künstlichen neuronalen Netzwerkes (ANN). Urologe 46, 1138–1139 (2007). https://doi.org/10.1007/s00120-007-1465-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00120-007-1465-8