This book is an updated edition of the summa cum laude PhD thesis Quantative Cyto- and Histoprognosis in Breast Cancer. An integrated approach using morphometry, stereology, flow cytometry, digital image processing, syntactic structure analysis and artificial intelligence by P.J. van Diest M.D.,Ph.D. It provides an extensive overview of the current status of prognostic factors in breast cancer. A series of articles demonstrates recent progress in the development and implementation of quantitative prognostic factors, derived from cytological and histological material. Many experts have contributed in the process of preparing this comprehensive edition.
This book is an updated edition of the summa cum laude PhD thesis Quantative Cyto- and Histoprognosis in Breast Cancer. An integrated approach using morphometry, stereology, flow cytometry, digital image processing, syntactic structure analysis and artificial intelligence by P.J. van Diest M.D.,Ph.D. It provides an extensive overview of the current status of prognostic factors in breast cancer. A series of articles demonstrates recent progress in the development and implementation of quantitative prognostic factors, derived from cytological and histological material. Many experts have contributed in the process of preparing this comprehensive edition.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Maße
Gewicht
ISBN-13
978-0-444-89374-1 (9780444893741)
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Schweitzer Klassifikation
Introduction . Prognostic factors in breast cancer. Part I: Cytomorphometric aspects. Cytomorphometry: A methodologic study on preparation techniques, selection methods and sample sizes. Comparison of lightmicroscopic grading and morphometric features in cytological breast cancer specimens. Prognostic value of nucleolar morphometric variables in cytological breast cancer specimens. Part II: Histomorphometric and morphologic aspects. The morphometric multivariate prognostic index (MPI) is the strongest prognosticator in premenopausal lymph node negative and lymph node positive breast cancer patients. Prognostic value of proliferation in lymph node metastasis of breast cancer patients. An expert system for histologic typing and grading of invasive breast cancer: First setup. Part III: Syntactic structure analysis. Syntactic structure analysis: An introduction. Reproducibility and prognostic value of syntactic structure analysis in invasive breast cancer. The biological background of syntactic structure parameters: An evaluation of correlations with and additional prognostic value to classic, morphometric and DNA cytometric features in invasive breast cancer. Part IV: Quantitation of neu -oncoprotein expression. Quantitation of HER-2/ neu oncoprotein overexpression in invasive breast cancer by image analysis: A study comparing fresh and paraffin-embedded material. Comparative long-term prognostic value of quantitative HER-2/ neu protein, DNA ploidy, morphometric and clinical features in paraffin-embedded invasive breast cancer. Prediction of response to adjuvant chemotherapy in premenopausal lymph node positive breast cancer patients with morphometry, DNA flow cytometry and HER-2/ neu oncoprotein expression: Preliminary results. Part V: The multicenter morphometric mammary carcinoma project. The multicenter morphometric mammary carcinoma project: A nationwide prospective study on reproducibility and prognostic power of routine quantitative assessments in the Netherlands. Data processing and analysis in the multicenter morphometric mammary carcinoma project (MMMCP). Reproducibility of mitosis counting in 2469 breast cancer specimens: Results from the multicenter morphometric mammary carcinoma project. Part VI: General Discussion, future prospects and summary. General discussion. Future perspectives in breast cancer. Summary. Subject index.
