Literature DB >> 82482

Computerized nuclear morphometry as an objective method for characterizing human cancer cell populations.

B Stenkvist, S Westman-Naeser, J Holmquist, B Nordin, E Bengtsson, J Vegelius, O Eriksson, C H Fox.   

Abstract

A new method for measuring differences in nuclear detail in chrome alum gallocyanin-stained nuclei of cells from human breast cancers was compared with conventional subjective grading and classification systems. The new method, termed computerized nuclear morphometry (CNM), gives a multivariate numerical score that correlates well with nuclear atypia and gives a higher reproducibility of classification than do subjective observations with conventional histological preparations. When 100 individual nuclei from each of 137 breast cancers were examined by CNM, there was a broad CNM score variation between patients but a good reproducibility for each tumor. When different parts of the same tumor were sampled, there was good reproducibility between samples, indicating that some breast cancers at least are "geometrically monoclonal." When these cancers were compared by the grading systems of WHO and Black, correlations of 0.43 and 0.48, respectively, were found. There was a poor correlation between CNM and classifications of tumor type, but in general there were high values for CNM in medullary tumors and low values in mucous tumors. Correlations between CNM and tumor progression and prognosis await future study of patients participating in the study.

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Year:  1978        PMID: 82482

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  15 in total

1.  An expert support system for breast cancer diagnosis using color wavelet features.

Authors:  S Issac Niwas; P Palanisamy; Rajni Chibbar; W J Zhang
Journal:  J Med Syst       Date:  2011-10-18       Impact factor: 4.460

2.  Prognostic significance of c-erb-B2 amplification in fine-needle biopsies of breast cancer patients not operated at diagnosis.

Authors:  U Lönn; S Lönn; B Nilsson; B Stenkvist
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

3.  Morphometry and cytodiagnosis of breast lesions.

Authors:  M E Boon; P A Trott; H van Kaam; P J Kurver; A Leach; J P Baak
Journal:  Virchows Arch A Pathol Anat Histol       Date:  1982

4.  Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens.

Authors:  Akif Burak Tosun; Oleksandr Yergiyev; Soheil Kolouri; Jan F Silverman; Gustavo K Rohde
Journal:  Cytometry A       Date:  2015-01-16       Impact factor: 4.355

5.  Automated image analysis of glioblastomas and other gliomas.

Authors:  H Martin; K Voss
Journal:  Acta Neuropathol       Date:  1982       Impact factor: 17.088

6.  Shape and texture analysis of liver cell nuclei in hepatomas by computer aided microscopy.

Authors:  R Jagoe; C Sowter; G Slavin
Journal:  J Clin Pathol       Date:  1984-07       Impact factor: 3.411

7.  Automated image analysis of gliomas an objective and reproducible method for tumor grading.

Authors:  H Martin; K Voss; P Hufnagl; K Frölich
Journal:  Acta Neuropathol       Date:  1984       Impact factor: 17.088

8.  Detection and temporal appearance of multiple copies of c-erb-B2 genes in advanced mammary carcinoma using fine needle biopsies and the polymerase chain reaction.

Authors:  U Lönn; S Lönn; U Nylen; B Stenkvist; B Vennström
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

9.  Nuclear image analysis study of neuroendocrine tumors.

Authors:  Meeja Park; Taehwa Baek; Jongho Baek; Hyunjin Son; Dongwook Kang; Jooheon Kim; Hyekyung Lee
Journal:  Korean J Pathol       Date:  2012-02-23

10.  Breast cancer: prognostic significance of c-erb-B2 and int-2 amplification compared with DNA ploidy, S-phase fraction, and conventional clinicopathological features.

Authors:  U Lönn; S Lönn; B Nilsson; B Stenkvist
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

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