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LITERATURE CITED

  • 1
    Babcock GF. Predictive medicine: severe trauma and burns. Cytometry 2003; 53B: 4853.
  • 2
    Strohmeyer JC, Blume C, Meisel C, Doecke WD, Hummel M, Hoeflich C, Thiele K, Unbehaun A, Hetzer R, Volk HD. Standardized immune monitoring for the prediction of infections following cardio-pulmonary bypass surgery in risk patients. Cytometry 2003; 53B: 5462.
  • 3
    Repp R, Schaekel U, Helm G, Thiede C, Soucek S, Pascheberg U, Wandt H, Aulitzky W, Bodenstein H, Kuse R, Link H, Ehninger G, Gramatzki M, AML-SHG study group. Immunophenotyping is an independent factor for risk stratification in AML. Cytometry 2003; 53B: 1119.
  • 4
    Valet G, Repp R, Link H, Ehninger A, Gramatzki M, SHG-AML study group. Pretherapeutic identification of high risk acute myeloid leukemia (AML) patients from immunophenotype, cytogenetic and clinical parameters. Cytometry 2003; 53B: 410.
  • 5
    Gerstner AOH, Müller AK, Machlitt J, Tárnok A, Tannapfel A, Weber A, Bootz F. Slide-based cytometry for predicting malignancy in solid salivary gland tumors by fine needle aspirate biopsies. Cytometry 2003; 53B: 2025.
  • 6
    Tárnok A, Gerstner A. Clinical applications of laser scanning cytometry. Cytometry 2002; 50: 133143.
  • 7
    Tárnok A, Bocsi J, Pipek M, Osmancik P, Valet G, Schneider P, Hambsch J. Preoperative prediction of postoperative edema and effusion in pediatric cardiac surgery by altered antigen expression patterns on granulocytes and monocytes. Cytometry 2001; 46: 247253.
  • 8
    Rahimi K, Maerz HK, Zotz RJ, Tárnok A. Pre-procedural expression of Mac-1 and LFA-1 on leukocytes for prediction of late restenosis and their possible correlation with advanced coronary artery disease. Cytometry 2003; 53B: 6369.
  • 9
    Rothenburger M, Tjan TDT, Schneider M, Berendes E, Schmid C, Wilhelm MJ, Böcker D, Scheld HH, Soeparwata R. The impact of the pro- and anti-inflammatory immune response on ventilation time after cardiac surgery. Cytometry 2003; 53B: 7074.
  • 10
    Peschel T, Niebauer J. Role of pro-atherogenic adhesion molecules and inflammatory cytokines in patients with coronary artery disease and diabetes mellitus type 2. Cytometry 2003; 53B: 7885.
  • 11
    Stewart CC, Cookfair DL, Hovey KM, Wende KE, Bell DS, Warner CL. Predictive immunophenotypes: a disease related profile in chronic fatigue syndrome. Cytometry 2003; 53B: 2633.
  • 12
    Orlikowsky TW, Spring B, Dannecker GE, Niethammer D, Poets CF, Hoffmann MK. Expression and regulation of B7-family molecules on macrophages (MΦ) in preterm and in-term neonatal cord blood and peripheral blood of adults. Cytometry 2003; 53B: 4047.
  • 13
    Lenz D, Hambsch J, Schneider P, Tárnok A. Protein-losing enteropathy after Fontan surgery–is assessment of risk patients with immunological data possible? Cytometry 2003; 53B: 3439.
  • 14
    Valet G. Predictive medicine by cytomics: potential and challenges. J Biol Regul Homeost Agents 2002; 16: 164167.
  • 15
    Davies E, Stankovic B, Azama K, Shibata K, Abe S. Novel components of the plant cytoskeleton: a beginning to plant 'cytomics'. Plant Sci 2001; 160: 185196.
  • 16
    Valet G. Cytometry, a biomedical key discipline. In: RobinsonJP, ParkerJ, StewartCC, editors. Purdue cytometry CD-ROM, vol 3. (http://scooter.cyto.purdue.edu/pucl_cd/flow/vol3/8/valet/keyvirt1.htm). West Lafayette, IN: Purdue University; 1997.
  • 17
    Rosenwald A, Wright G, Chan WC, Connors JM, Campo E, Fisher RI, Gascoyne RD, Müller-Hermelink HK, Smeland EB, Staudt LM. The use of molecular profiling to predict survival after chemotherapy for diffuse large B-cell lymphoma. N Engl J Med 2002; 346: 19371947.
  • 18
    Weinstein JN, Scherf U, Lee JK, Nishizuka S, Ajay FG, Bussey K, Kim S, Smith LH, Tanabe L, Richman S, Alexander J, Kouros-Mehr H, Maunakea A, Reinhold WC. The bioinformatics of microarray gene expression profiling. Cytometry 2002; 47: 4649.
  • 19
    Peltri G, Bitterlich N. Increased diagnostic value of parameters by fuzzy logic-based multiparameter analysis. Cytometry 2003; 53B: 7578.