Mc. Colombel et al., COMPUTER-ASSISTED IMAGE-ANALYSIS OF BLADDER-TUMOR NUCLEI FOR MORPHONUCLEAR AND PLOIDY ASSESSMENT, Analytical cellular pathology, 6(2), 1994, pp. 137-147
Morphonuclear analysis using a quantitative image analysis system has
been demonstrated to be a potentially useful technique in the prognost
ic evaluation of bladder carcinoma. The integrated optical density par
ameter permits DNA content evaluation in addition to 15 other morphonu
clear parameters. We assessed the reliability of morphonuclear analysi
s by image analysis and flow cytometry for 46 bladder carcinomas and 1
4 normal bladder specimens. Frozen sample material was obtained from e
ndoscopic resection, radical cystectomy and from cadaveric donors. The
grade and staging of the tumours according to the World Health Organi
zation was as follows: 8 G1, 18 G2, 20 G3 and 28 T1, 7 T2, 7 T3, 4 T4.
Quantitative image analysis was made on imprint smears stained by the
Feulgen method. Simultaneously cell suspensions were obtained by mech
anical dissociation and stained with propidium iodide for Flow cytomet
ry analysis. There was a good agreement between quantitative image ana
lysis and flow cytometry for DNA content measurement indicating that i
mage analysis is a reliable method for the quantitation of DNA content
(P = 0.001). Moreover we found a good correlation between five of the
morphonuclear parameters: surface (P < 0.001), chromatin clumps distr
ibution (P < 0.001), frequency of small (P < 0.001) to large chromatin
clumps (P < 0.001) and the grade of bladder tumours. These results in
dicate that morphonuclear analysis may be a valuable method of quantit
ating DNA and morphonuclear parameters in a single analysis to provide
information which may have some prognostic significance for patients
with bladder carcinoma.