Biomedical subjects

V Dimmer

Publications and source records attributed to V Dimmer.

29 records · Page 2Linked to original sources

PubMed1990

[Grading, staging, DNA content and prognosis of invasive ductal breast cancer].

The importance to prognostication of grading, staging, and image cytometric DNA parameters was investigated in 84 cases of invasive ductal mammary carcinoma. Correlations between tumour size, lymph node condition, and five-year survival were shown to be statistically significant. Similar correlations were found to exist between the grade of histopathological malignancy and various DNA parameters derived from the DNA histogram. However, the relevance of all the above single factors has proved to be of limited value in the individual tumour case. Multivariate analysis of DNA parameters, 80.3 percent in probability, was found to enable the best prognostic prediction of an individual course. These results suggested nuclear DNA content to be an objective marker of biological behaviour of a given tumour.

Adult↗

PubMed1989

Grading and prognosis of invasive ductal mammary carcinoma by nuclear image analysis in tissue sections.

In primary tumours of 84 patients with invasive ductal carcinomas the prognostic significance of the nuclear image was assessed. Feulgen stained tissue sections were investigated by image cytometry. At least 150 tumour cell nuclei as well as 50 lymphocytes or trout erythrocytes for diploid reference were measured in each specimen. 35 morphological features, including those of the chromatin pattern, were derived from the digitized nuclear images. By means of multivariate discriminant analysis, significant differences could be found between tumours of 41 node-negative and 43 node-positive patients. The differences were sufficiently large to distinguish subgroups with low and high risk of lymph node involvement. Irrespective of lymph node status, 66 patients with an adequate 5 year follow-up were divided into two groups according to their survival time. The classification results revealed a clear relationship between characteristics of the nuclear image and prognosis. By image cytometry it is thus possible to separate both node-positive and node-negative patients into subgroups with increasing risk of recurrence. The results indicate that nuclear image analysis provides prognostic information in addition to established prognostic factors, such as histological grade and tumour stage.

Adult↗

PubMed1989

[Computer-assisted diagnosis of fine-needle biopsy of the pancreas using automated microscopic image analysis (comparison of the Feulgen reaction and hemalum-eosin staining in pancreatic cancer and fibrosis].

The diagnosis of pancreatic lesions can be improved with the aid of the diagnostic needle aspiration procedure under computed tomographic guidance. The computer aided diagnostics should be used to distinguish degenerative changed cells of chronic pancreatitis from cells of well differentiated carcinomas. Investigations are performed with a Jenaval microscope (Carl Zeiss Jena), solid state camera C-1000-35 (Hamamatsu Japan) coupled with minicomputer (Typ 1 102 F ICE Rumania). Multivariate discrimination using 35 features of each nucleus (20 fine needle aspirations of pancreatic carcinomas, 20 fine needle aspirations of chronic pancreatitis of histological controlled autopsies with 8,000 nuclei of Feulgen-reaction and 4,000 nuclei hemalum-eosin-stained of the same material) provides a classification result for single cells of 81% of Feulgen-reaction and 77% by hemalum-eosin-staining. Nonessential differences between the Feulgen-reaction and hemalum-eosin-staining are found by the single cases of fine needle aspiration biopsies of pancreatic carcinomas and nontumorous pancreatic lesions.

Biopsy, Needle↗

PubMed1989

Quantitative morphology of primary and metastatic tumors: comparative studies on tissue sections.

Feulgen-stained tissue sections of 84 invasive ductal carcinomas of the breast (IDC), 30 colorectal adenocarcinomas (ACC), 30 gastric adenocarcinomas (ACG), 10 lymph node metastases of squamous cell carcinomas (SCC) and 11 lymph node metastases of malignant melanomas (MM) were investigated by image cytometry at a spatial resolution of 0.25 micron. At least 150 tumor cell nuclei were measured in each case. By means of multivariate statistical analysis the specificity of the nuclear image for different histological tumor types could be demonstrated in lymph node metastases of SCC and MM. Nuclear image analysis therefore may be a useful tool for pathologists in making the differential diagnosis on metastases of unknown primary tumors. For IDC, ACG and ACC the metastatic phenotype could be identified by nuclear image analysis of the primary tumors. The prognostic significance of the nuclear image has been proved in adenocarcinomas of the stomach. Features of chromatin structure played an important role in both the diagnosis of doubtful histological tumor types and the prediction of lymph node involvement or prognostic outcome.

Cell Nucleus↗

PubMed1986

High resolution image analysis of cell nuclei in tissue sections of primary and metastatic carcinomas.

The present study examines whether certain histological tumour types can be differentiated on account of their nuclear image with the aid of automated image analysis. For karyometric investigations three tumour types (adenocarcinomas, squamous cell carcinomas and mammary carcinomas) were chosen, which occur frequently as occult primary tumours. From each type ten primary tumours with their corresponding lymph node metastases were examined. 100 cell nuclei were measured from each case using 4 micron thick paraffin sections stained with gallocyanin-chromalum. For each cell nucleus 21 contour and texture features were determined. Through the application of linear classifiers 41 out of 52 cases (25 primary tumours, 27 metastases) of these three tumour types were correctly classified. Eight cases could not be classified with certainty and only three cases were wrongly classified. In addition, within the group of adenocarcinomas differences due to localisation were detected which allow us to draw conclusions on the seat of the primary tumour.

Adenocarcinoma↗

PubMed1985

Some remarks on preinvasive cervical neoplasia--an image analysis study.

By means of automated microscope image analysis 5275 normal cells as well as dyscaryotic cells were investigated in cytologic preparations from 53 cervical smears (26 negative cases, 27 positive cases). In this way, visually not conspicuous differences between normal cell populations of positive and negative cases could be demonstrated with multivariate statistic analysis of discriminant features. The examination of this phenomenon in 2910 epithelial cells from tissue sections of portio conizations has shown that the subvisually changed epithelial cells originate from circumscript regions in the margin and surroundings of CIN-lesions. The biological role of these changes in the formal genesis of cervical neoplasias has been discussed.

Cell Differentiation↗

PubMed1984

Metastasizing APUD cell tumours of the human gastrointestinal tract. Light microscopic and karyometric studies.

A total of 11 metastasizing gastrointestinal APUD cell tumours from biopsy and autopsy files were reclassified according to Soga and Tazawa as well as to WHO Histologic Classification of Tumours. The much higher proportion of APUD cell tumours in autopsies (11 cases from 1000 autopsies in comparison with 22 cases from 22 000 biopsies) demonstrate that the majority of them will not be discovered during the patient's life. EC cell carcinoids (type A) predominate in both non-metastasizing and metastasizing gastrointestinal APUD cell tumours. Metastases from EC cell carcinoids occurred only in regional lymph nodes and in the liver. The APUD cell tumours originating in the pancreas represent the most frequently metastasizing gastrointestinal carcinoids. Besides in the liver and in regional lymph nodes metastases from pancreatic APUD cell tumours were seen in the skin, the brain and the skeleton. One case with two (pancreatic, bronchial) competitive primary APUD cell tumours and a skin metastasis was studied by means of automated cell image analysis. Cell populations of these three tumour sites were characterized by morphometric and densitometric nuclear parameters. It could be demonstrated that the skin metastasis consisted of a cell population, which occurred as a subpopulation in the primary tumour of the bronchus. The results of karyometric investigations supported the hypothesis that single components of tumours can metastasis selectively.

Adolescent↗

PubMed1983

Differentiation of human T and B peripheral blood lymphocytes by high-resolution cell image analysis.

Automated cell image analysis of light and electron microscopic pictures was used for differentiation of nonlabeled lymphocytes in blood smears and in smears of purified lymphocyte suspensions. The percentages of T and B lymphocytes were determined by a two-step rosette assay with sheep red blood cells (T cells) and an immunofluorescence assay with FITC-labeled antihuman globulin (B cells). Images from 1,400 Feulgen-stained and 12,000 Pappenheim-stained cells were analyzed. Various classification methods allowed two lymphocyte subpopulations to be discriminated at the light and electron microscopic levels on the basis of different visual and subvisual morphologic features. As found by immunologic methods, morphologically determined subpopulations corresponded to T and non-T cells, with no further differentiation of non-T cells into B or null cells possible. The results allow the conclusion that there are morphologic differences between human T and non-T cells, with the differences distinguishable from individual variations as well as from alterations induced by sample preparation.

B-Lymphocytes↗

PubMed1982

Image processing in pathology. XI. Light microscopic discrimination of human peripheral blood lymphocyte subpopulations.

Non-labelled lymphocytes in peripheral blood smears and in smears of purified lymphocyte suspensions were differentiated in T- and non-T-cells (controlled by E-rosetting assay and surface immunoglobulin detection) by automatic image processing at the light microscopic level. By various classification methods it was found that these lymphocyte subpopulations differ in several visual and subvisual morphologic features. The morphologic differences between subpopulations were superimposed by individual deviations as well as by influences from the preparation. Single features were strongly affected by exogenic factors. Most of the different features are comparable with fine structural differences, as previously reported.

Adolescent↗

PubMed1982

Image processing in pathology. XII. Automated morphometry of tumour cell nuclei in hypernephroma: comparison between renal tumour and late metastases.

Changes of nineteen features of tumour cell nuclei in hypernephroma and three following late metastases were investigated by use of the automated image system. Histograms of nuclei features from primary tumours and metastases were compared. They showed objectively an increased cellular dedifferentiation during metastases. Various aspects of the capability of automated morphometry for investigation of tumours are discussed.

Adenocarcinoma↗

PubMed1977

[Use of automatic picture processing in clinical-morphological diagnostics].

The use of the automatic elaboration of pictures for the evaluation of microscopic pictures gives the possibility to automise histological and cytological routine examinations and to improve the recognition of morphological findings by quantitative investigations in the medical morphological diagnostics. The effective practical use of the method is bound to certain device-technical prerequisites which are mentioned in short. At the same time a survey of the principal possibilities in the medical morphological diagnostics is given. By the analysis of the digitalised pictures of cells, cell organelles and other tissue structures reproducible quantitative data on outline and texture as well as on the special arrangement of the objects present in the picture are obtained. On the basis of these characteristics it is possible to identify cells, to find perhaps existing subgroupings in cell populations or to perform an automatic preselection of the material to be investigated. At the instance of the normal white differential blood picture the modern possibilities and limits of the method are described.

Blood Cells↗