Biomedical subjects

E B Thunnissen

Publications and source records attributed to E B Thunnissen.

3 recordsLinked to original sources

PubMed1992

Oestrogen and progesterone receptor immunocytochemistry in human hyperplastic and neoplastic endometrium.

Proliferative disorders of the endometrium may be associated with autocrine and paracrine actions between stromal and epithelial cells. To determine whether the stromal-epithelial relation with respect to oestrogen receptor (OR) and progesterone receptor (PR) is disturbed in (pre)malignant endometrium immunocytochemical OR and PR expression was quantitated by computerized image analysis. This was studied in the stromal and epithelial cells of endometrial specimens diagnosed as hyperplasia (n = 14), atypical hyperplasia (n = 16), and adenocarcinoma (n = 33). Paraffin sections were used for optimal preservation of histomorphology. A progressive loss of OR and PR content occurred with increasing malignant transformation. Stromal cells in atypical hyperplasia (P = 0.0007) and well-differentiated adenocarcinoma (P = 0.0008) exhibited a relative loss of PR content as compared with epithelial cells (P = 0.036 and P = 0.17, respectively). In atypical hyperplasia, the decrease in stromal PR content was not in parallel with persistent stromal OR immunostaining. Furthermore, stromal PR expression in atypical hyperplasia was significantly (P = 0.004) lower than in the surrounding hyperplasia, whereas the stromal OR staining as well as the epithelial OR and PR staining did not differ significantly. These observations may reflect a disturbance in hormonal interrelationships between endometrial cells in the development of endometrial neoplasia, indicating that stroma may modulate epithelial growth by paracrine mechanisms.

Adenocarcinoma↗

PubMed1986

Classification of lung carcinoma by means of digital nuclear image analysis.

An investigation was performed of the maximum discriminating efficiency for each subgroup of digital nuclear image features and of the overall classification of nuclei from three types of human lung carcinomas in histologic sections: adenocarcinoma, small-cell carcinoma and squamous-cell carcinoma. The results indicate that, for each subgroup of features, the nuclei of the small-cell carcinomas are generally "correctly" classified in a higher percentage (80% to 100%) than are the nuclei of the adenocarcinomas (46% to 74%) and squamous-cell carcinomas (29% to 68%). The discriminant analysis for the overall classification selected features from most of the subgroups, suggesting that it is useful to perform nuclear image analysis with many subgroups having different properties. The overall classifications for the nuclei of the adenocarcinomas, small-cell carcinomas and squamous-cell carcinomas were, respectively, 81.4%, 93.2% and 74.7%. Before this technique can be applied to histopathologic diagnosis, a larger number of unselected lung carcinomas must be evaluated.

Adenocarcinoma↗

PubMed1981

Fixation induced variations in quantitative nuclear image features in sections.

Recently quantitative nuclear image features (Q.N.I. features) have become available which have proven to be accurate descriptors of different chromatin patterns. Therefore it can be expected that these features will become increasingly important in diagnostic histopathology. However, if used for routine applications in human pathology, it is to be questioned to which extent Q.N.I. features are able to discriminate between subpopulations of nuclei and to which extent fixation induced variations on Q.N.I. features do exist. In the present study, the discriminating capacity of the Q.N.I. features on the basal and parabasal cell nuclei of human cervical epithelium is investigated. Fixation is varied in concentration, temperature, and time. The results emphasize the excellent discriminating power of the Q.N.I. features and indicate that if a) the concentration is kept between 4 and 6% w/v, b) the temperature of the fixative is room temperature, and c) the fixation time is kept constant at 24 or 36 h, the Q.N.I. features can well be used in histopathology.

Cell Nucleus↗