PLOW CYTOMETRY - IN-VITRO ASSESSMENT OF ITS POTENTIAL APPLICATION FORDIAGNOSIS AND CLASSIFICATION OF LYMPHOID PROCESSES IN CYTOLOGIC PREPARATIONS FROM FINE-NEEDLE ASPIRATES
Ds. Zander et al., PLOW CYTOMETRY - IN-VITRO ASSESSMENT OF ITS POTENTIAL APPLICATION FORDIAGNOSIS AND CLASSIFICATION OF LYMPHOID PROCESSES IN CYTOLOGIC PREPARATIONS FROM FINE-NEEDLE ASPIRATES, American journal of clinical pathology, 101(5), 1994, pp. 577-586
Detection and accurate classification of lymphoid processes in fine-ne
edle aspirate specimens can be a challenging task for the pathologist.
Recognizing the usefulness of flow cytometric methods for the diagnos
is of lymphoproliferative disorders (LPDs), the authors applied flow c
ytometric analysis to 38 tissue samples that had a possible diagnosis
of LPD and to fine-needle aspiration-derived cytologic preparations. F
our aspirations from each sample provided from .44 x 10(6) to more tha
n 70 X 10(6) cells in total. The highest yields were associated with l
ow-grade B-cell non-Hodgkin's lymphomas (NHLs). Washing cytologic prep
aration cell suspensions did not enhance diagnostic ability and dramat
ically reduced cell counts (average decrease, 79.8%), potentially prob
lematic with small samples. Comparison of ploidy, S fraction, and immu
nophenotypic data from the cytologic preparations and cell suspensions
made from the conventionally processed parent tissues indicates that
cytologic preparation composition closely parallels the tissue of orig
in. A multiparametric flow cytometric technique used to enhance detect
ion of B-cell clonal expansions allowed for successful recognition of
17 of 21 (81%) B-cell NHLs in cytologic preparations, with false-negat
ive results primarily reflecting a lack of viable tumor cells in the c
ytologic preparation cell suspensions. A T-cell NHL and a nonhematopoi
etic malignancy were also identified in cytologic preparations. None o
f the benign conditions were interpreted as lymphoma. Flow cytometric
techniques applied to fine-needle aspirates of lymphoid processes yiel
d important diagnostic information, which may be maximized by adaptati
ons in processing and flow cytometric analysis.