Prognostic evaluation of morphonuclear parameters in superficial and invasive bladder cancer

OBJECTIVE To assess the prognostic value of morphonuclear parameters determined by means of computerized image analysis in untreated bladder tumours. PATIENTS AND METHODS Fifty patients had untreated bladder cancer; in 28 patients the tumours were superficial (7pT1G1; 14pT1G2; 7pT1G3) and in 22 they were invasive (6T2G2, 9T2G3, 2T3G2, 5T3G3). Feulgen-stained imprints were processed for morphonuclear analysis on a SAMBA 200 computerized image analysis system (T1TN, France), which measures optical density (integrated optical density, IOD; surface area, SURF; mean optical density, MOD), texture (long run length, LRL; short run length, SRL; run length distribution, RLD; run length percentage, RLP; grey level distribution, GLD) and contrast (contrast, C; energy, E). RESULTS Morphonuclear parameters IOD, SURF, LRL, SRL and C were found to correlate with the risk of recurrence and progression of superficial bladder tumours (results for ANOVA respectively IOD P < 0.001; SURF P = 0.02; LRL P = 0.05; RLD P = 0.04; SRL P = 0.04; C P < 0.001). In invasive bladder cancer, parameters IOD and C only correlated with the risk of progression (ANOVA respectively IOD P < 0.001; C P < 0.001). On the other hand, progression-free curve analysis using the Kaplan Meier method showed that morphonuclear parameters may be useful in predicting the outcome for superficial tumours (Log/Rank test: SURF P < 0.001; RLD < 0.001; SRL = 0.003; LRL < 0.001; C < 0.001; IOD < 0.001). In the case of invasive tumours, only two parameters provided prognostic information (Logrank test: C < 0.001; IOD < 0.001). CONCLUSION Nuclear morphometry assessed by image analysis is potentially useful in assessing the prognosis of bladder tumours; it provides objective and quantitative parameters. Further studies will determine whether morphonuclear analysis can be used to monitor the treatment of bladder cancer, particularly superficial tumours.