Image analysis detects lineage-specific morphologic markers in leukemic blast cells

American Journal of Clinical Pathology

Volumn 105, Issue 1, 1996, Pages 23-30

  Baumann, Irith ^a,c   Nenninger, Regina ^a   Harms, Harry ^a   Zwierzina, Heinz ^b   Wilms, Klaus ^a   Feller, Alfred C ^a   Ter Meulen, Volker ^a   Müller Hermelink, Hans Konrad ^a  

^a UNIVERSITY OF WÜRZBURG   (Germany)

^b UNIVERSITY OF INNSBRUCK   (Austria)

^c UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Acute myeloblastic lymphoblastic leukemia; Blood and bone marrow differences; High resolution image analysis; Immunophenotype

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOCYTIC LEUKEMIA; ADOLESCENT; ADULT; AGED; ARTICLE; AUTOANALYSIS; BLAST CELL; BLOOD SMEAR; BONE MARROW BIOPSY; CHILD; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMMUNOPHENOTYPING; LEUKEMIA CELL; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; SCHOOL CHILD;

EID: 0030067031     PISSN: 00029173     EISSN: None     Source Type: Journal    
DOI: 10.1093/ajcp/105.1.23     Document Type: Article

References (30)

1. Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the acute leukemias. Br J Haematol 1976;33:451-458.
2. Bennett JM, Catovsky D, Daniel MT, et al. The morphological classification of acute lymphoblastic leukaemia: Concordance among observers and clinical correlations. Br J Haematol 1981;47:553-561.
3. Head DR, Savage RA, Cerezo L, et al. Reproducibility of the French-American-British classification of acute leukemia: The Southwest Oncology Group experience. Am J Hematol 1985;18:47-57.
4. Aus HM, Harms H, Haucke M, et al. Statistical evaluation of computer markers to detect leukemias. Pattern Recogn Lett 1986;4: 231-236.
5. Griffin JD, Davis R, Nelson DA, et al. Use of surface marker analysis to predict outcome of adult acute myeloblastic leukemia. Blood 1986;68:1232-1241.
6. Garand R, Vannier JP, Bene MC, Faure GC, Bernard A. Correlations between acute lymphoid leukemia (ALL) immunophenotype and clinical and laboratory data at presentation. Cancer 1989;64:1437-1446.
7. Bain B, Catovsky D. Current concerns in hematology 2: Classification of acute Leukemia. J Clin Pathol 1990;43:882-887.
8. Griffin JD, Mayer RJ, Weinstein HJ, et al. Surface marker analysis of acute myeloblastic leukemia: Identification of differentiation-associated phenotypes. Blood 1983;62:557-563.
9. Chan LC, Pegram SM, Greaves MF. Contribution of immunophenotype to the classification and differential diagnosis of acute leukemia. Lancet 1985;1:475-479.
10. Drexler HG. Classification of acute myeloid leukemias-a comparison of FAB and immunophenotyping. Leukemia 1987;10:697-705.
11. Krause JR, Penchansky L, Contis L, Kaplan SS. Flow cytometry in the diagnosis of acute leukemia. Am J Clin Pathol 1988;89: 341-351.
12. Foon KA, Todd RF. Immunologic classification of leukemia and lymphoma. Blood 1986;68:1-31.
13. Miller DR, Leikins S, Albo V, et al. Prognostic importance of morphology (FAB classification) in childhood acute lymphoblastic leukaemia (ALL). Br J Haematol 1981;48:199-206.
14. Harms H, Aus HM. Estimation of sampling errors in a high resolution TV microscope image-processing system. Cytometry 1984;5:228-235.
15. Harms H, Aus HM. Comparison of digital focus criteria for a TV microscope system. Cytometry 1984;5:236-244.
16. Young IT. Sampling density and quantitative microscopy. Anal Quant Cytol Histol 1988;10:269-278.
17. Harms H, Aus HM, Haucke M, Gunzer U. Segmentation of stained blood cell images measured at high scanning density with high magnification and high numerical aperture optics. Cytometry 1986;7:522-531.
18. Harms H, Albert R, Gunzer U, et al. Malignancy-associated changes in monocytes and lymphocytes in acute leukemias measured by high-resolution image processing. Anal Quant Cytol Histol 1993;15:371-378.
19. Harms H, Gunzer U, Aus HM. Combined local color and texture analysis of stained cells. Computer Vision Graphics and Image Processing 1986;33:364-376.
20. Breimann L, Friedman JH, Olshen RA, et al. Classification and Regression Trees. Belmont, CA: Wadsworth International Group, 1984.
21. Swirsky DM, De Bastos M, Parish SE, et al. Features affecting outcome during remission induction of acute myeloid leukemia in 619 adult patients. Br J Haematol 1986;64:435-441.
22. Sugita K, Koizumi K, Yoshida H. Morphological reversion of sistransformed NIH3T3 cells by trichostatin A. Cancer Res 1992;52:168-172.
23. Stryckmans PA, Debusscher L, Rongi-Collard E, et al. Factors influencing the release of leukemic blast cells from the marrow into the blood in human acute leukemia. Leuk Res 1977;1:133-139.
24. Killmann SA, Cronkite EP, Robertson JS, Fliedner TM, Bond VP. Estimation of phases of the life cycle of leukemic cells from labeling in human beings in vivo with triated thymidine. Lab Invest 1963;12:671-684.
25. Altmann HW. Der Zellersatz, insbesondere an den parenchymatosen Organen. Verh Dtsch Ges Pathol 1966;50:15-53.
26. Cantu-Rajnoldi A, Banfi P, Castagni M, et al. Ki-67 expression in childhood acute lymphoblastic leukemia and relation with L2 morphology. Br J Haematol 1989;71:302-303.
27. Haber MH, Liu J, Knowles DM, Inghirami G. Determination of the DNA content of the Reed-Sternberg cell of Hodgkin's disease by image analysis. Blood 1992;80:2851-2857.
28. Petein M, Michel P, v Velthoven R, et al. Morphonuclear relationship between prostatic intraepithelial neoplasia and cancers as assessed by digital cell image analysis. Am J Clin Pathol 1991;96:628-634.
29. Walts AE, Morimoto R, Marchevsky AM. Computerized interactive morphometry and the diagnosis of lymphoid-rich effusions. Am J Clin Pathol 1993;99:570-575.
30. Elsheikh TM, Silverman JF, McCool JW, et al. Comparative DNA analysis of solid tumors by flow cytometric and image analyses of touch imprints and flow cell suspensions. Am J Clin Pathol 1992;98:296-304.