Several groups of lipomatous tumors are not yet clearly characterized on the biological level. In order to attempt to classify the dedifferentiated liposarcomas with respect to other types of malignant liposarcomas, 80 adipose tumors were submitted to the combination of two computer-assisted
methodologies. These two methodologies consisted of i) the determination of 25 variables, and ii) the analysis of the diagnostic information contributed by these 25 variables by means of two complementary techniques, i.e. principal components and discriminant analyses. The 25 variables were
computed by means of image cytometry on Feulgen-stained nuclei and histological slides, quantitatively describing distinct biological characteristics relating to morphonuclear (chromatin pattern) features (14 variables), nuclear DNA content distribution (9 variables), and tissue architecture
pattern (2 variables). The 80 adipose tumors included 21 typical lipomas, 7 atypical lipomas (defined as extremity adipose tumors with a histopathological pattern of well-differentiated liposarcomas), 16 retroperitoneal and 5 non-retroperitoneal abdominal well-differentiated liposarcomas,
9 dedifferentiated liposarcomas, 8 myxoid (intermediate-grade tumor) and 14 pleomorphic (high-grade tumor) liposarcomas. The data strongly suggest that the dedifferentiated liposarcomas exhibit biological characteristics which are distinct from those of low- and high-grade liposarcomas, but
similar to those of intermediate ones. The results also show that typical and atypical lipomas are two distinct biological entities. In contrast, the atypical lipomas and the well-differentiated retroperitoneal and non-retroperitoneal liposarcomas exhibited a high number of similar biological
characteristics. Computer-assisted methods contribute valuable information to characterize lipomatous tumor biology.
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Document Type: Research Article
FREE UNIV BRUSSELS,FAC MED,HISTOL LAB,B-1070 BRUSSELS,BELGIUM. ERASMUS ACAD HOSP,DEPT PATHOL,BRUSSELS,BELGIUM. ERASMUS ACAD HOSP,DEPT PLAST SURG,BRUSSELS,BELGIUM. FREE UNIV BRUSSELS,FAC MED,INST INTERDISCIPLINARY RES & DEV ARTIFICAL INTELL,B-1070
BRUSSELS,BELGIUM. INST JULES BORDET,DEPT PATHOL,B-1000 BRUSSELS,BELGIUM.
November 1, 1996
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