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6th ESACP Congress, Heidelberg, April 7-11, 1999 |
A126
Chromosomal patterns specific of a type of cancer are present even though
phenotypic spatial heterogeneity is omnipresent. If any invariance paradigm
representing a stochastic, chaotic, or geostatistic function could be
discovered, this might help in solving the problem of the insecurity ot
histopathological grading (40% for breast cancer). We demonstrated through
multiimmuno-marking that breast cancers display a large heterogeneity, thus
presenting a major problem for any grading. Geostatistics represent a set of
methods which have not been used much outside of a mining context.
Standardised microscopical slides in paraffin with labetling by MIB-1 (Ki-67)
allow numbers and coordinates of labelled nuclei to be filed. The dispersion
variance is then estimated and an invariant function based on ergodicity and
integral range allows a bypass of the heterogeneity problem. The first
results are very encouraging. The grades are well separated; the certainty of
a correct classification will, however, require a confrontation with the
results of survival studies.
BREAST CANCER: SPATIAL HETEROGENEITY, HISTOLOGICAL GRADES AND
GEOSTATISTICS
Sharifi-Salamatian V, Rigaut JP, de Roquancourt *
Laboratoire d'Analyse d'Images en Pathologie Cellulaire (AIPC),
* Service de Pathologie; Hôpital St. Louis, Université Paris 7, Paris,
France