title: Karyometry in recurrent superficial transitional cell tumors of the bladder.
abstract: Transitional cell carcinoma of the bladder has a high recurrence rate after local treatment. Progression to a higher stage occurs in 10-30% of the recurrent tumors, and early detection of potentially progressive tumors is important. In the current study morphometric, densitometric, and chromatin textural features of nuclei of superficial bladder tumors (pTa-T1) were studied to determine the value of karyometric features in the prediction of tumor progression. Seventy-two histological samples from 36 patients, consisting of both the primary and the first recurrent superficial tumor, were analyzed. Patients were divided into two groups: those with tumor progression, defined as an increase in tumor stage or occurrence of metastatic disease, and those without. Discriminant analysis on four karyometric features resulted in correct prediction of prognosis of 78% and 97% in the primary and recurrent tumors, respectively (P < 0.001). Tumor grade and stage did not offer additional information concerning prognosis. Karyometric analysis of recurrent superficial transitional cell tumors can be useful in selecting patients who need a more aggressive therapy. However, tumor characteristics of recurrent tumors varied and continuous evaluation of the karyometric features is necessary for early detection of an increase in the malignant potential of the tumor.
authors.affiliation: Department of Urology, University Hospital, Nijmegen, The Netherlands.
authors.forename: H G
authors.initials: HG
authors.lastname: van der Poel
authors.forename: R D
authors.initials: RD
authors.lastname: van Caubergh
authors.forename: M E
authors.initials: ME
authors.lastname: Boon
authors.forename: F M
authors.initials: FM
authors.lastname: Debruyne
authors.forename: J A
authors.initials: JA
authors.lastname: Schalken
mesh_terms: D002295:Carcinoma, Transitional Cell / Q000453:epidemiology / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007620:Karyometry; D015999:Multivariate Analysis; D009364:Neoplasm Recurrence, Local / Q000453:epidemiology / Q000473:pathology*; D011379:Prognosis; D001743:Urinary Bladder / Q000473:pathology*; D001749:Urinary Bladder Neoplasms / Q000453:epidemiology / Q000473:pathology*