Literature DB >> 7095760

Prognostic indicators in breast cancer--morphometric methods.

J P Baak, P H Kurver, A J De Snoo-Niewlaat, S De Graef, B Makkink, M E Boon.   

Abstract

Morphometric methods were applied to predict the clinical course of individual patients with breast cancer. Measurement of tumour diameter, assessment of mitotic and cellular indices, and quantitative microscopy of nuclear features were assessed together with nuclear features and histological grades. Of the tumours from 78 patients investigated, 42 had died from metastases within 6.5 years ('non-survivors'), while the other 36 were alive and well without evidence of metastases at the end of the follow-up period (minimum 6.5 years) ('survivors'). If the tumours of the 42 non-survivors are compared with those of 36 survivors, there are many reproducible significant differences, the most important being cellularity index and mitotic activity index, followed by quantitative microscopical nuclear parameters and nuclear and histological grade. Discriminant analysis, of the quantitative microscopical data alone showed 82% of all patients to be correctly classified as survivor or non-survivor. By contrast with the axillary lymph node invasion status alone, or the tumour diameter and axillary lymph node status together, 59% and 64% of the patients were predicted correctly as survivor or non-survivor. With a more realistic statistical approach of discriminant analysis, 78% of the patients were classified correctly with quantitative microscopy, in place of 54% with the axillary lymph node status, 56% with the TNM-system and 64% with a combination of TNM system and nuclear and histological grade. Morphometry thus seems possible to predict the outcome of individual patients more accurately than with the usual staging/grading methods. This technique might therefore prove to be useful in the selection of patients for adjuvant chemotherapy.

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Year:  1982        PMID: 7095760     DOI: 10.1111/j.1365-2559.1982.tb02727.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  23 in total

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3.  [Improvement of breast cancer grading in punch biopsies: grading with the Ki-67 marker].

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4.  The endogenous progesterone metabolite, 5a-pregnane-3,20-dione, decreases cell-substrate attachment, adhesion plaques, vinculin expression, and polymerized F-actin in MCF-7 breast cancer cells.

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5.  A multivariate morphometric analysis of the glomeruli in the normal and pathologically changed human kidney.

Authors:  J P Baak; H Wehner
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1983

6.  Papillary cystic tumours of the pancreas: an analysis by nuclear morphometry.

Authors:  K Nishihara; M Tsuneyoshi
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1993

7.  Monitoring serum CEA in women with primary breast tumours positive for oestrogen receptor and with spread to lymph nodes.

Authors:  J C van der Linden; J P Baak; T Postma; J Lindeman; C J Meyer
Journal:  J Clin Pathol       Date:  1985-11       Impact factor: 3.411

8.  Significance of nuclear morphometry in cytological aspirates of breast masses.

Authors:  Shivani Kalhan; Suparna Dubey; Sonia Sharma; Sharmila Dudani; Monika Dixit
Journal:  J Cytol       Date:  2010-01       Impact factor: 1.000

9.  Prospective evaluation of prognostic value of morphometry in patients with primary breast cancer.

Authors:  J C van der Linden; J P Baak; J Lindeman; J Hermans; C J Meyer
Journal:  J Clin Pathol       Date:  1987-03       Impact factor: 3.411

10.  Morphometric and ultrastructural analyses of melanocytes, nevus cells, and melanoma cells.

Authors:  W Stolz; C Schmoeckel; F Ryckmanns; J Gross; O Braun-Falco
Journal:  Arch Dermatol Res       Date:  1987       Impact factor: 3.017

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