Literature DB >> 3558864

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

J C van der Linden, J P Baak, J Lindeman, J Hermans, C J Meyer.   

Abstract

In a prospective study the predictive value of a multivariate morphometric prognostic index was evaluated in 195 patients with primary breast cancer who had not been treated with any form of chemotherapy or hormonal treatment. The presence or absence of distant tumour recurrence combined with the scores of the prognostic index were compared with the survival curves predicted in a previous study. The value of the presence of lymph node metastases, number of positive nodes, tumour size, mitotic activity index, and oestrogen receptor status in prediction of prognosis were also investigated. In agreement with the results of the previous retrospective study, the prospective use of the index had the strongest predictive prognostic value, followed by the mitotic activity index. Statistical analysis showed that the actual prognoses of 43 of the 195 patients (22%) were more accurately determined by the prognostic index rather than by using the presence of the lymph node metastases as the classifying variable. The prognostic index is consistently reproducible by different technicians; it is a reliable method of predicting distant recurrence of tumour and hence the prognosis of patients with primary breast carcinoma. It provides more prognostic information than the presence of lymph node metastases alone, and the index should be incorporated in routine pathology reports.

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Year:  1987        PMID: 3558864      PMCID: PMC1140904          DOI: 10.1136/jcp.40.3.302

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  18 in total

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Authors:  W A Knight; R B Livingston; E J Gregory; W L McGuire
Journal:  Cancer Res       Date:  1977-12       Impact factor: 12.701

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Authors:  G Bonadonna; E Brusamolino; P Valagussa; A Rossi; L Brugnatelli; C Brambilla; M De Lena; G Tancini; E Bajetta; R Musumeci; U Veronesi
Journal:  N Engl J Med       Date:  1976-02-19       Impact factor: 91.245

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Authors:  H C Van der Linden; J P Baak; A W Smeulders; J Lindeman; C J Meyer
Journal:  Pathol Res Pract       Date:  1986-05       Impact factor: 3.250

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Authors:  R Hilf; M L Feldstein; S L Gibson; E D Savlov
Journal:  Cancer       Date:  1980-04-15       Impact factor: 6.860

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Authors:  J P Baak; H Van Dop; P H Kurver; J Hermans
Journal:  Cancer       Date:  1985-07-15       Impact factor: 6.860

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Journal:  Cancer       Date:  1980-06-15       Impact factor: 6.860

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  14 in total

Review 1.  Proliferation markers in tumours: interpretation and clinical value.

Authors:  P J van Diest; G Brugal; J P Baak
Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

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Authors:  P J van Diest; E Matze-Cok; J P Baak
Journal:  J Clin Pathol       Date:  1991-05       Impact factor: 3.411

3.  Prognostic index for breast carcinoma: a 22% improvement in the prediction of outcome?

Authors:  G J Laroye
Journal:  J Clin Pathol       Date:  1991-01       Impact factor: 3.411

4.  Prognostic value of morphometry in breast cancer.

Authors:  J P Baak; J C van der Linden; P J van Diest
Journal:  J Clin Pathol       Date:  1991-10       Impact factor: 3.411

5.  Cyclin D1 expression in invasive breast cancer. Correlations and prognostic value.

Authors:  P J van Diest; R J Michalides; L Jannink; P van der Valk; H L Peterse; J S de Jong; C J Meijer; J P Baak
Journal:  Am J Pathol       Date:  1997-02       Impact factor: 4.307

6.  Mitotic indexes as prognostic predictors in female breast cancer.

Authors:  S Aaltomaa; P Lipponen; M Eskelinen; V M Kosma; S Marin; E Alhava; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1992       Impact factor: 4.553

7.  The lectin-binding sites for peanut agglutinin in invasive breast ductal carcinomas and their role as a prognostic factor.

Authors:  E Mustac; M Melato; F Sasso; T Valkovic; C Bottin; N Jonjic
Journal:  J Cancer Res Clin Oncol       Date:  1996       Impact factor: 4.553

8.  Counting of apoptotic cells: a methodological study in invasive breast cancer.

Authors:  H A van de Schepop; J S de Jong; P J van Diest; J P Baak
Journal:  Clin Mol Pathol       Date:  1996-08

9.  At convenience and systematic random sampling: effects on the prognostic value of nuclear area assessments in breast cancer patients.

Authors:  I Jannink; J N Bennen; J Blaauw; P J van Diest; J P Baak
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

Review 10.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

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