Automated assessment of numerical chromosomal aberrations in paraffin embedded prostate tumor cells stained by in situ hybridization

We investigated the feasibility of automated counting of in situ hybridization signals (ISH) in interphase cells isolated from paraffin embedded prostate tissue. In total, 34 specimens from 7 patients with prostate cancer were stained with probes specific for the centromeric regions of chromosomes Y, 1, 7, 8, 10, and 15, using an immunoperoxidase based technique suitable for bright-field microscopy. Enumeration of the number of ISH spots of 500 nuclei per specimen was performed (1) using an automatic system developed without any human intervention and (2) using the same system, but including verification of the counts based on visual inspection of the stored images. As reference from each specimen, 200 cell nuclei were evaluated manually, using conventional microscopy. A typical analysis procedure (including user verification) took 35 min. The difference (root mean error) between the automated counting and the counting after visual interaction was relatively small (15%). The percentage of cells with incorrect counts by automated analysis was 20.2%, a number that could easily be improved by user interaction. Detection of cells with aneusomy proved to be more sensitive compared to the routine manual counting, in cases where aberrant frequencies were low. Automated counting of samples with low frequencies (< 10%) resulted in a higher frequency of aberrant cells in 9 of 11 cases, probably due to the fact that an unbiased cell selection is guaranteed. Automated assessment of ISH signals is considered useful for the evaluation of chromosomal aberrations in prostate tumor cells, provided that the counts are visually confirmed.

Automation of spot counting in interphase cytogenetics using brightfield microscopy

In situ hybridization techniques allow the enumeration of chromosomal abnormalities and form a great potential for many clinical applications. Although the use of fluorescent labels is preferable regarding sensitivity and colormultiplicity, chromogenic labels can provide an excellent alternative in relatively simple situations, e.g., where it is sufficient to use a centromere specific probe to detect abnormalities of one specific chromosome. When the frequency of chromosomal aberrations is low, several hundreds or even thousands of cells have to be evaluated to achieve sufficient statistical confidence. Since manual counting is tedious, fatiguing, and time consuming, automation can assist to process the slides more efficiently. Therefore, a system has been developed for automated spot counting using brightfield microscopy. This paper addresses both the hardware system aspects and the software image analysis algorithms for nuclei and spot detection. As a result of the automated slide analysis the system provides the frequency spot distribution of the selected cells. The automatic classification can, however, be overruled by human interaction, since each individual cell is stored in a gallery and can be relocated for visual inspection. With this system a thousand cells can be automatically analyzed in approximately 10 min, while an extra 5-10 min is necessary for visual evaluation. The performance of the system was analyzed using a model system for trisomy consisting of a mixture of male and female lymphocytes hybridized with probes for chromosomes 7 and Y. The sensitivity for trisomy detection in the seeding experiment was such that a frequency of 3% trisomic cells could be picked up automatically as being abnormal according to the multiple proportion test, while trisomy as low as 1.5% could be detected after interaction.

Detection improvement of cytomegalovirus antigen in human peripheral blood using monoclonal antibodies and automated reading of cell preparations

One of the major drawbacks in cytomegalovirus (CMV)-antigenaemia detection for diagnosis of active CMV infection is the low number of CMV-antigen positive cells present in peripheral blood. It is therefore necessary to screen large numbers of peripheral blood granulocytes to find only a few antigen-positive cells. We have optimized this detection by testing several monoclonal antibodies (mAb) to CMV-antigens (mAbs C10/C11, C12, BM222, E13 and SL20). In total 550 blood samples from 40 patients were investigated. More blood samples were found positive with mAb C12 than with the other mAbs. Also the average number of positive cells per slide was highest for mAb C12. Furthermore, duplicate slides were examined automatically using an image analysis system (LEYTAS) and compared to visual detection (cytospin slides). The detection sensitivity of both screening methods was compared for mAb C12. In total 360 slides were analysed, from positive as well as negative blood samples. The sensitivity of the automated screening was 93% and for the visual evaluation of the cytospin slides 73%. In conclusion, mAb C12 was the most suitable of the mAbs tested for detection of antigenaemia, and automatic detection of CMV antigenaemia with image analysis of slides is a sensitive method due to the large numbers of cells that can be screened.

Automated screening for cytomegalovirus infected cells using image analysis. Comparison of two immunoenzymatic staining methods with respect to colour segmentation

The detection of human cytomegalovirus (HCMV) infected poly-morphonuclear leukocytes (PMNLs) for early finding of the pp65 antigen using automated image analysis has been improved. The routinely used immunoenzyme peroxidase (PO) labelling has been replaced by alkaline phosphatase (AP) using new fuchsin as substrate. The number of automatically detected false positive objects due to incomplete inactivation of endogenous peroxidase and strong variations in counterstain intensity could be reduced by 81% using this AP staining method. The number of detected truly positive cells with both staining methods was not significantly different. Furthermore, a new image analysis system providing processing of colour images was evaluated. Since plain differences in absorption wavelength are required for colour segmentation, the red immuno-staining was combined with a green counterstain using methyl green. Screening of AP- instead of PO-stained slides in combination with colour segmentation resulted in a further reduction of the number of falsely detected alarms from 61% to 11%. Consequently, the sensitivity of the automated detection was improved. For AP staining detection of cells in frequencies of approximately one to one million was demonstrated. Screening for CMV-positive, alkaline phosphatase labelled cells using an image analysis system with colour segmentation resulted in a reduced false alarm rate, a better visual interpretation of the images and subsequently an increase in the sensitivity of the automated screening process.

Detection of immunocytochemically stained rare events using image analysis

The detection of rare-event cells circulating in peripheral blood using automated image analysis was evaluated using a model system consisting of cells from a breast cancer cell line (SKBR3) seeded in a mononuclear cell suspension. Slides of cells with optimal morphology were prepared according to an optimized preparation procedure based on centrifugal cytology in combination with formalin fixation. SKBR3 cells were immunocytochemically stained for cytokeratin using the cam 5.2 monoclonal antibody and labelled with alkaline phosphatase using CAS-red as substrate. Because, for optimal segmentation of cell images, plain differences in absorption wavelength are required, the red immunostaining was combined with a green nuclear counter-staining based on ethyl green. Slides were automatically screened for cytokeratin-positive SKBR3 cells resulting in a lowest detectable frequency of one positive cell per 1.87 x 10(6) negative cells. A comparison between manual screening and automated screening for cytokeratin-positive cells showed a high level of correlation (0.9998). For the definition of the total number of objects per slide, two counting procedures were evaluated. Results were close to the visual score with a coefficient of variation of 0.47% for the counting procedure used in this study. It is concluded that optimization of preparation and staining procedures for the detection of rare-event cells using automated image analysis results in optimal image contrast and, consequently, in an increase in sensitivity for detecting rare events.

Quantification of low frequency white blood cells expressing human cytomegalovirus antigen by image cytometry

Human cytomegalovirus (HCMV) infections cause considerable morbidity and mortality in immunocompromised patients. During HCMV infection, leukocytes appear in the circulation in low frequencies that express the HCMV pp65 protein antigen. Since there is evidence that changes in the frequency of antigen-positive cells in the early phase of the infection have prognostic value, we applied automated image cytometry to quantify these antigen-positive cells. For this purpose weekly peripheral blood leukocyte samples of 80 kidney transplant recipients were visually examined for the presence of antigen-positive cells using an immunocytochemical detection method. Seventeen patients, who reacted positive with this assay, were identified. Next, automated image cytometry was applied to quantitate the frequency of antigen-positive cells in sequential blood samples from the 17 patients. Patients who developed a period of HCMV viremia had a significantly longer antigenemic period and a significantly higher frequency of antigen-positive cells than patients with a HCMV infection who remained nonviremic. Therefore, automated image immunocytometry based screening can be used to distinguish patients at risk for the development of a HCMV viremia. Moreover, automated quantitation reveals prognostic information about the HCMV infection at a more sensitive level than other HCMV detection techniques.

Automated image cytometry for detection of rare, viral antigen-positive cells in peripheral blood

A cell detection method based upon automated screening is described for recognition of low frequencies (1 in 100,000) of immuno-enzymatically labelled white blood cells in human peripheral blood. The used image cytometry instrumentation (LEYTAS) includes a wide-field, fully automated microscope (Autoplan) and a modular image analysis computer (MIAC), both from Leica, Wetzlar, Germany. The MIAC contains image boards for optimum use of mathematical morphology algorithms. Communication with the MIAC is via a personal computer. Programs for automated cell analysis have been written in C language. Main features of the system are fast analysis of large microscope fields including a count of all cells, selection of objects of interest (alarms), and display of digitally stored images of these alarms. We tested this system for the detection of white blood cells expressing antigen of cytomegalovirus (pp65) in 50 human blood smears from kidney transplant recipients. Immuno-enzymatic (peroxidase) staining was performed with DAB and counterstaining with hematoxylin. For determination of the sensitivity, a series of dilutions of a positive sample with a negative sample was performed. The lowest frequency detected was 1 antigen-positive cell/3 x 10(5) antigen-negative cells. Screening time was about 60 min for one million cells.

High DNA content and prognosis in lymph node positive breast cancer. A case control study by the University of Leiden and ECOG. (Eastern Cooperative Oncology Group)

To investigate whether breast cancer cells with unusually high nuclear DNA content are associated with an adverse outcome, Eastern Cooperative Oncology Group investigators selected breast cancer trial patients who suffered an early death (ED) within two years after diagnosis to compare with other trial patients who had a survival of at least 7.5 years. Paraffin blocks of primary breast cancers were obtained from 93 evaluable patients who had been enrolled in two surgical adjuvant trials for lymph node positive (LN+) disease (T1-3N1M0). Single cell monolayer preparations from these blocks were stained with acriflavine-Feulgen and analyzed by image analysis for DNA content with the automated Leiden Television Analysis System (LEY-TAS). Standard prognostic variables (estrogen receptor (ER) status, number of lymph nodes with metastases, and size of the cancer) were compared with three DNA content characteristics: DNA ploidy status, number of nuclei with > 5C DNA content, and percent of nuclei with > 5 C. Estimates of the odds ratio in multivariate comparisons showed that ER negativity was associated with ED (p = 0.0005) and an odds ratio estimate using negative/positive of 4.87. The number of positive lymph nodes associated with ED had a p-value of 0.0005 and an odds ratio estimate of 4.63 when comparing the > 3 nodes group to the 1-3 nodes group. In contrast, the strongest association for any of the DNA content characteristics with ED had a p-value of 0.017 and an odds ratio estimate of 2.76. This power of association disappeared when stratified on ER status.(ABSTRACT TRUNCATED AT 250 WORDS)

Discrepancies in ploidy determination due to specimen sampling errors

Two techniques are described to enhance the detection of low frequency aneuploid cells in automated cell analysis. One method concerns a cell preparation technique; the other is focused on specific cell selection at the measurement level. The cell preparation method has been designed to select and process the tumour areas in paraffin blocks and can be used for image as well as for flow cytometry. The technique uses incident fluorescence microscopy for visual inspection of the surface of the fluorescently stained tissue block to select the specific tumour parts. Using image cytometry, it is shown that in tissue sections with very small tumour foci and many normal cells, aneuploidy could only be detected after enrichment of the cell sample with the specifically selected areas. The cell selection at the measurement level is directed towards detection of low frequency aneuploid cells on microscope slides using the specific capacities of LEYTAS (Leyden Television Analysis System). With this system, cells of interest can be selected by means of minimum size and intensity thresholds. In addition to measurement of the total cell population, all cells above a minimum DNA value can thus be specifically selected and measured. The advantage of both enrichment techniques is the possibility to detect and measure aneuploid cell lines in cases where normal, diploid cells dominate the paraffin tissue.

Automated screening for micrometastases in bone marrow smears

It is possible to detect micrometastases in primary breast cancer using immunocytochemical staining of bone marrow smears. However, using the light microscope the procedure is time-consuming and laborious because such cells occur rarely (less than 1 in 10,000). Using an image analysis system, the Leytas machine, and a specially prepared reproducible slide it has been possible to automate the technique. A 100% concordance was found between the machine and the light microscope in the identification of slides containing moderate to high numbers of tumour cells in bone marrow, and in those containing no tumour cells. However, in those slides containing low numbers of tumour cells (1-10 tumour cells/10(6) normal bone marrow cells) the sensitivity was decreased to 91%. In the presence of non-specific staining the false positive rate was increased from 0% to 22%. This method represents a potential improvement in the assessment of an important clinical staging procedure.

Use of DNA image cytometry in addition to flow cytometry for the study of patients with advanced ovarian cancer

Forty-five patients with advanced ovarian cancer were studied with both DNA flow cytometry (FCM) and automatic DNA image cytometry carried out with the Leiden Television Analysis System (Leytas). There was a significant difference in survival between the diploid and nondiploid cases as determined by FCM. Furthermore, the presence of nuclei with a high DNA content (defined as a DNA content higher than 5C) as determined by Leytas indicated a poor prognosis. When the combined results of FCM and Leytas were taken into account, three different groups of patients could be distinguished. The group of patients with a diploid malignancy (n = 12) had a median survival of more than 60 months. The group of patients (n = 11) with a nondiploid tumor having fewer than 100 nuclei with a high DNA content per 1600 microscope fields formed an intermediate group (median survival, 42 months), whereas the median survival of the remaining patients (n = 22), who had a nondiploid malignancy combined with more than 100 of these nuclei per 1600 microscope fields, was only 15 months. In addition, comparison of the clinical parameters by means of a multivariate analysis (Cox regression model) showed that the combined results of FCM and DNA image cytometry had the largest influence on survival. It is concluded that DNA image cytometry appears to be supplementary to FCM for the study of DNA ploidy abnormalities and that the combined results of these methods have a major influence on the clinical outcome.

Preparation of cells from paraffin-embedded tissue for cytometry and cytomorphologic evaluation

A method is described for the preparation of monolayer smears from paraffin-embedded tissue. The smears are suitable for automated image analysis and DNA measurements while still allowing interpretation of nuclear morphology. The proposed technique uses enzyme treatment and syringing for cell dispersal. The preparation of cell monolayers is performed by cytocentrifugation. After staining the specimens with gallocyanin, nuclear DNA can be measured. Automated DNA measurements using the Leyden Television Analysis System (LEYTAS) showed coefficients of variation of 4.5% for the diploid cell population of suspended benign tissue. After DNA measurements, the specimens are counterstained using orange G and eosin. Since gallocyanin has spectral properties similar to those of hematoxylin, the obtained end product is comparable to specimens stained according to the routinely used Papanicolaou procedure. Using this technique, image cytometry can be applied to paraffin-embedded tissue in combination with conventional cytomorphologic study of the cells.

Preparation of monolayer smears from paraffin-embedded tissue for image cytometry

A method is described for the preparation of monolayer smears from paraffin-embedded tissue suitable for automated image analysis and DNA measurements. The proposed technique uses enzyme treatment and syringing for cell dispersal. Slide preparation is performed by centrifugal cytology. After Feulgen staining the quality of the monolayer smears is sufficiently high to enable visual morphologic evaluation. Automated DNA measurements using the Leyden television analysis system (LEYTAS) show coefficients of variation (CV) of 4.5% for the diploid cell population of the suspended tissue. This is approximately the same as the CV in fresh material from the same tumor. Formalin fixed trout red blood cells are used as reference cells. By applying image cytometry to paraffin-embedded tissue this method allows retrospective studies of, for instance, the significance of DNA content with regard to the behavior of a tumor.