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Combined flow cytometry and image cytometry of the same cytological sample.

Flow cytometry and image cytometry, two measuring techniques in the field of analytical cytology, can be used sequentially on the same cytological sample. Cells stained with a fluorochrome for the determination of for example, DNA or RNA content are first analysed in suspension by flow cytometry. The results of the fluorescence analysis of the individual cells are presented after data processing as frequency histograms of the DNA or RNA content of all the cells of the sample. In these histograms certain cell populations such as those with an increased DNA content are defined and these are then selected for further investigation. This is achieved by sorting cells of interest into centrifugation buckets by means of electrostatic deflection of the droplets containing such cells. Sorted cell populations are then centrifuged on to glass slides and stained according to the acriflavine Feulgen-SITS staining procedure, a quantitative method for DNA and protein. Image cytometry of these stained cells is performed with a computer controlled television based image analysis system (LEYTAS). With this system abnormal cells with elevated DNA content or increased chromatin contrast are automatically detected, thereby eliminating almost all artefacts and normal cells. Subsequently detected objects are stored in grey-value memories after the automated analysis for visual examination by the cytologist. The possibilities of combined flow cytometry and image cytometry are illustrated in typical examples in the field of cervical, bladder and mammary cytology.

Breast↗

[Progress in microscopic image analysis and the trend of image cytometry].

Image cytometry has recently developed prominently based on the digital imaging of cell morphology brought about by great advances in microcomputer hardware and software, electronics etc. This method is characterized by the quantitation of both the amount of intracellular bioactive materials and cell morphology, and is expected to further advance many cell analysis techniques involving automated cytology, chromosome image analysis, automated histopathology, viable cell analysis, 3D image construction, etc. The present use is still minimal, and advances in both hardware and software for cyto-histologic recognition are essentially necessary. Perhaps by the end of this century, more sophisticated and faster machines for automated cyto-histologic analysis will appear, replacing many microscopic techniques of presently subjective observation in the biomedical field.

Cell Cycle↗

Role of DNA flow cytometry and image cytometry on effusion fluid.

The objective of the study was to assess the value of DNA flow cytometry (FCM) and image cytometry (ICM) as an adjunct to routine diagnostic cytology. In this prospective study, 100 consecutive effusion fluids were studied for routine cytology, DNA FCM, and in selected cases, ICM. One half of the centrifuged fluid sample was used for routine cytology and the remaining portion was used for DNA FCM. Nuclear area, nuclear diameter, nuclear perimeter, nuclear convex perimeter, nuclear roundess, and nuclear convex area were measured on at least 100 cells by ICM in cytologically malignant or DNA aneuploid cases along with control cases. Clinical follow-up was done in all cases. There were 22 cytologically malignant cases and 78 cytologically benign cases. Among the 22 cytologically malignant cases, there were 11 aneuploid and diploid cases each by DNA FCM. Out of 78 cytologically benign cases, six (7.7%) were aneuploid by DNA FCM. Smears of these cases showed predominantly reactive mesothelial cells, but the DNA histograms showed hypodiploid (one), hyperdiploid (three), tetraploid (one), and hypertetraploid (one) aneuploidy. Follow-up of these cases showed clinical or histologic features of malignancy except in one case of tetraploid aneuploidy, which did not show any features of malignancy and responded well to antitubercular therapy. Therefore, out of 27 malignant effusions, DNA FCM picked up 16 cases and routine cytology detected 22 cases. Sensitivity and specificity of DNA FCM were thus 59.25% and 98.63%, respectively. There was a statistically significant difference (Student's unpaired t-test, P < 0.05) between cytologically malignant cases and control benign cases in all the nuclear morphometric parameters except for nuclear roundness. There was, however, no statistically significant difference of nuclear morphometric parameters between cytologically benign vs. DNA aneuploid cases and control benign cases. DNA FCM is a useful adjunct for routine diagnostic cytology. Visual diagnostic cytology and morphometric digital microscopy miss some cases of malignancy which can be detected by DNA flow cytometry. Diagn. Cytopathol. 2000;22:81-85.

Adult↗

Comparison between flow cytometry and image cytometry in ploidy distribution assessments in gynecologic cancer.

The DNA content in 37 tumors from 34 women with gynecological cancer was measured by flow cytometry (FCM) and interactive image cytometry (ICM). Agreement was obtained in 81% of cases as regards ploidy levels, but seven tumors (19%) showed different ploidies. Of these, five were classified as diploid by FCM but either aneuploid (three cases) or polyploid (two cases) by ICM. Two other tumors were aneuploid by ICM but polyploid (one case) and unclassifiable (one case) by FCM. All tumors classified as aneuploid by FCM were also aneuploid by ICM, and all tumors classified diploid by ICM were also diploid by FCM. Of six patients whose tumors were classified as euploid (five diploid and one polyploid) by FCM but classified as aneuploid by ICM, five relapsed, and three of these have died of disease. On the basis of these findings, it is concluded that ICM must be performed in cases classified as diploid by FCM to ensure that small subpopulations of aneuploid tumor cells are not overlooked.

Aneuploidy↗

DNA analysis with flow cytometry and image cytometry in colorectal polyps.

Ploidy was studied with flow and image cytometry in 51 polyps removed endoscopically from 44 patients. Evaluation was carried out on frozen material in 34 cases and on material fixed in formalin and embedded in paraffin in the remaining 17. Data analysis showed a statistically significant correlation between polyp size and aneuploidy frequency (P > 0.05). No statistically significant correlation was found between aneuploidy frequency and histological type. The linear correlation study did, however, show a correlation tendency between histological type and aneuploidy (R = 0.42211).

Adenoma↗

Predicting prognosis of gastrointestinal smooth muscle tumors. Role of clinical and histologic evaluation, flow cytometry, and image cytometry.

Both flow cytometry (FCM) and morphometry have been proposed as techniques for predicting the prognosis of gastrointestinal (GI) smooth muscle tumors (SMTs). In particular, DNA aneuploidy by FCM has been associated with high histologic grade and shortened survival, whereas the DNA index determined by image cytometry has been proposed as a criterion for the diagnosis of malignancy. To further define the potential roles of these two techniques, we performed a variety of morphometric and FCM measurements on paraffin blocks from 122 patients with GI SMTs, with a median follow-up period of 6 years, together with assessments of tumor size and mitotic activity. None of the morphometric measurements (nuclear perimeter, area, form factor, longest diameter, average ferret diameter, equivalent diameter, and DNA index) was a significant prognostic factor when analyzed using a univariate Cox model. In contrast, the flow cytometric mean channel number, the fraction of cells in G2M, aneuploidy of the G0/G1 peak, aneuploidy of the G2M peak, tumor size, and mitotic activity index were statistically significant in univariate models, together with the patient age and sex, and whether or not the patient presented with metastases. In a multivariate model, > 10 mitotic figures per 50 high-power fields and metastases indicated a poor prognosis. If metastasis was not allowed to enter the model, the mitotic index and aneuploidy of the G2M peak portended a poor prognosis.

Female↗

DNA image cytometry on sections as compared with image cytometry on smears and flow cytometry in melanoma.

DNA measurements of 130 melanomas were carried out by flow cytometry (FCM) and image cytometry (ICM). ICM was applied to cytological preparations of fresh material (cICM) and to sections of formalin-fixed paraffin embedded tissue (sICM). The DNA ploidy, the DNA index of G0/G1 peaks (DI), and the proliferation index (PI) were used to compare all the methods. The following parameters reflecting malignancy were calculated only from ICM histograms: the 5c exceeding rate (5cER) and the malignancy grade (MG). In cases found to be DNA aneuploid by FCM, the PI values (FCM versus cICM) and the DIs (between all methods) showed a high correlation, and the concordance in relation to the DNA ploidy status was 96% (FCM versus cICM) and 94% (FCM versus sICM). However, we ascertained essential differences between FCM and ICM in melanomas classified as DNA diploid by FCM. The concordance in DNA ploidy was only 66% (FCM versus cICM) and 64% (FCM versus sICM). In contrast, cICM and sICM yielded similar results in most cases. With the exception of the near diploid range, ICM is superior to FCM in detecting DNA aneuploidy. In particular, DNA tetraploid stem lines can easily be overlooked by FCM. Therefore, DNA measurements of tumours judged to be DNA diploid by FCM must be verified by ICM. ICM on sections proved to be applicable and yielded reliable results provided that a suitable thickness was used, and the measuring of sectioned and overlapping nuclei was largely avoided by careful focusing in either direction.

Aneuploidy↗

DNA tetraploidy in Feulgen-stained bladder washings assessed by image cytometry.

The prognostic utility of DNA cytometry has been demonstrated for irrigation specimens from bladder neoplasms. While the traditional method of measuring the DNA content of cells recovered by bladder irrigation is flow cytometry, image analysis has been applied increasingly, with successful results. In some cases, image analysis has been shown to detect DNA aneuploid populations missed by flow cytometry. The DNA aneuploid population most frequently missed by flow cytometry is in the DNA tetraploid range. The purpose of the present study was to review image cytometry data on bladder washings analyzed at the University of Florida Diagnostic Referral Laboratories during a one-year period, with special emphasis on the subset with DNA tetraploid histograms. Of the 205 cases reviewed, 127 (62%) were DNA diploid, 36 (18%) DNA aneuploid and 42 (20%) DNA tetraploid. Corresponding cytology was negative in 113/127 (89%) of DNA diploid, 3/36 (8%) of DNA aneuploid and 29/42 (69%) of DNA tetraploid cases. Within the DNA tetraploid group, 45% of cases had no clinical (cystoscopic) or pathologic (cytologic and histologic) evidence of neoplasia. None of these patients developed tumors during follow-up. The presence of DNA tetraploidy in cytologically negative cases should be interpreted cautiously.

Aneuploidy↗

Flow cytometry and interactive image cytometry in endometrial carcinoma. A comparative and prognostic study.

Comparative DNA measurements were performed in 139 women with endometrial carcinoma using flow cytometry (FCM) and interactive image cytometry (ICM). Ploidy level and the percentage of S-phase cells were determined by FCM and ploidy level and the percentage of cells with a DNA content exceeding 2.5c, 3c, 4c and 5c, respectively, were calculated by ICM. The aim was to compare ploidy level obtained by the two methods and to evaluate the prognostic value of all the above-mentioned parameters. Recurrence or residual disease after completing treatment were used as end-points. Follow-up time was 18-48 months. An agreement was obtained in 85% of the cases as regards ploidy level, but in 15% the tumors were regarded as near-diploid by one method and as grossly aneuploid by the other. Both ploidy level (both methods) and S-phase rate (FCM) were correlated with histopathologic grade (p less than 0.001 and p less than 0.05, respectively). In univariate analysis, ploidy level (obtained either by FCM or ICM) correlated with recurrence rate, with a more favourable prognosis for near-diploid cases. When using multivariate models (Cox analysis) including clinical variables, ploidy level by FCM (but not ICM) was still significant as regards prognosis. In the multivariate analysis, S-phase fraction (as measured by FCM) also yielded independent prognostic information. In a separate analysis the proportion of cells with a DNA content greater than 5c gave independent prognostic information besides that of the S-phase fraction and ploidy level. We conclude that measurements of the percentage of cells exceeding 5c give prognostic information beyond the information obtained from flow cytometric determination of ploidy level and S-phase fraction.

Aged↗

Quality assurance issues in DNA image cytometry.

DNA image cytometry is currently used in many clinical laboratories as a prognostic tool for the study of patients with malignant neoplasms. However, quality assurance (QA) procedures for image cytometry (IC) have not been standardized. National proficiency testing programs for DNA IC are yet to be developed. We describe our QA program for DNA IC. Indicators of quality; thresholds for evaluation; methods for collection, organization, and evaluation of data; and actions recommended to deal with problems are described for each of the phases of DNA IC. They include QA procedures for sample acceptability; staining technique; instrumentation, including linearity and calibration verification; and correlation with other cytometric methods. The difficult problem of standardizing the postanalytical phase of QA is discussed. The need for a consensus conference to adopt standardized QA procedures for DNA image analysis is emphasized.

DNA, Neoplasm↗

[DNA cytometry using paraffin embedded tumor tissues. Comparison of flow cytometry (FCM) and image cytometry (ICM)].

In order to examine the correlation of cytometric DNA ploidy in paraffin-embedded tumour material, a comparison was made of flow (FCM) and image cytometry (ICM); in the case of ICM FEULGEN-stained tissue sections (8-10 microns) and in some cases nuclear suspensions were used. Tumour tissue from seminomas (FCM: n = 50; ICM/section: n = 28), oral squamous carcinomas (FCM: n = 110; ICM/section: n = 50) and adenocarcinomas of the gallbladder (FCM: n = 50; ICM/section: n = 46; ICM/nuclear susp.: n = 40) was studied. The concordance regarding diploid/non-diploid characteristics was 96.5% in the case of seminomas, 87% in oral carcinomas and 100% in gallbladder carcinomas. A statistically significant correlation of DNA indices of FCM with ICM histograms was found in all three organ tumours examined. 6% of oral and up to 18% gallbladder carcinomas, however, could not be evaluated by means of FCM due to poor quality of the histograms (coefficient of variation (CV) > 6%). In the determination of DNA indices and resolution of multiploid stemlines, FCM analysis proved to be superior. Regional intratumoural differences and rare tumour populations were best detected by ICM using sections. Without correction factors being used, these sections did not show any significant deviation of DNA indices from the other methods used. Our study has revealed that in paraffin-embedded tumour material FCM and ICM usually provide well-correlating results, when standardised and controlled preparation and measuring procedures are applied.(ABSTRACT TRUNCATED AT 250 WORDS)

Adenocarcinoma↗

Deoxyribonucleic acid measurements in transitional cell carcinomas: comparison of flow and image cytometry techniques.

PURPOSE: We compared the results of deoxyribonucleic acid (DNA) ploidy determinations performed by flow cytometry and image cytometry in transitional cell carcinomas of the bladder. MATERIALS AND METHODS: In 81 cases of transitional cell carcinoma of the bladder DNA indexes were measured by flow cytometry of bladder washings and tumor tissue samples, and by image cytometry of imprints from tumor tissue samples. RESULTS: There was good correlation between bladder washings and tissue samples analyzed by flow cytometry in 68 cases but aneuploidy was missed with bladder washings in 13 (16%). There was also good correlation between flow and image cytometry in 75 cases (92.59%) regarding the detection of aneuploidy. There was agreement between detection of aneuploidy and DNA index in 45 cases (55.5%), while both methods detected an aneuploid population in 30 (37%) but there was disagreement regarding DNA index. Aneuploid populations were missed by flow cytometry in 6 cases (7.4%). Furthermore, in 10 cases peridiploid peaks were found on the image cytometry histograms, which were not visible on flow cytometry. However, it was not possible to assess accurately if these were true peridiploid populations. CONCLUSIONS: There is good overall correlation between DNA content measured by flow and image cytometry but image cytometry has the advantage of visual discrimination, permitting preferential selection and analysis of tumor cells. However, certain problems remain with image cytometry, particularly in the case of peridiploid peaks, which cannot be classified accurately as showing true peridiploid or right shifted diploid populations.

Carcinoma, Transitional Cell↗

Nuclear texture measurements in image cytometry.

DNA image cytometry is widely used in cytopathology as a means to obtain objective information concerning the diagnosis and prognosis of human cancer. Using specially designed devices, the high resolution spatial and photometric information is available in the images of a microscopic field. If quantitative DNA specific stains are used the chromatin distribution in the cell nuclei can be measured, which is one of the critical features for cytopathological analysis. In normal cells, changes in the chromatin appearance reflect changes in the activation patterns of genes. In tumors, dramatic changes in the nuclear chromatin appearance are common and have been associated with the progression of the disease. Features describing the chromatin distribution pattern are referred to as texture features. Nuclear texture features are sensitive to the differences between the various descriptive classes of chromatin patterns. In this paper we discuss the main categories of nuclear texture measurements. Texture features can be roughly divided into the following categories: 1) descriptive statistics of chromatin distribution; 2) discrete texture features; 3) range extreme; 4) markovian; 5) run length and 6) fractal texture features. Representative features of each of the above categories are discussed together with mathematical formulas, simple figures for explanation as well as images of typical cells which differ significantly in some texture features. Key references are also provided.

Cell Nucleus↗

DNA content of head and neck squamous carcinoma by flow and image cytometry.

OBJECTIVE: To compare the measurement of quantitative DNA in squamous cell carcinoma of the head and neck by flow cytometry and image cytometry. DESIGN: Comparison of image cytometry to the more commonly used flow cytometry using paraffin-embedded tissues. SETTING: University of California, Davis Medical Center, Sacramento. A 472-bed university teaching hospital. PATIENTS: Records of 26 patients with squamous cell carcinoma of the tongue, base of tongue, and larynx were obtained from the case files of an otolaryngologist-head and neck surgeon. They were reviewed for staging and follow-up. RESULTS: We demonstrated a 96% concordance rate between the methods. A solitary discrepant case was aneuploid by image cytometry and diploid by flow cytometry. The specimen involved tumor infiltrated by lymphocytes that may have masked the aneuploid population to measurement by flow cytometry. Quantitative DNA analysis correlated moderately well with tumor grade, tumor stage, and patient outcome with a minimum of 6 years of follow-up. All patients with diploid tumors were long-term survivors. CONCLUSIONS: Both methods provide accurate quantitative DNA analyses in squamous cell carcinoma of the head and neck. The methods are highly correlative and yield similar predictive data regarding tumor behavior and prognosis.

Carcinoma, Squamous Cell↗

Automated cell analysis for DNA studies of large cell populations using the LEYTAS image cytometry system.

Image cytometry by means of LEYTAS features analysis of both fresh and archival cellular material. Although not as accurate in ploidy determination as flow cytometry, LEYTAS cytometry incorporates extensive artefact rejection algorithms, thereby allowing detection of low frequency cells. This feature is very useful for the search of rare cells, as e.g. in cervical screening, or for the quantitation of the number of high DNA content cells in the total cell sample. LEYTAS main components are an automated microscope (Autoplan) and a Modular Image Analysis Computer (MIAC), both from Wild Leitz (W-Germany). This paper discusses LEYTAS instrumentation and cell analysis by means of programs especially written for LEYTAS.

Algorithms↗

Fluorescence-based analysis of DNA ploidy and cell proliferation within fine-needle samplings of breast tumors: a new approach using automated image cytometry.

BACKGROUND: Automated image cytometry can allow concurrent quantification of several parameters in each individual cell within a population, opening new possibilities for diagnosis and prognosis. In this study, the authors investigated the capacity of this method for performing a bivariate analysis of DNA ploidy and synthesis in fine-needle samplings obtained without aspiration from breast tumors. METHODS: Samplings from 25 unselected cases of ductal infiltrative breast adenocarcinoma and 2 cases of fibroadenoma were analyzed. For each case, 3-5 slides (containing approximately 1000 cells each) were quantified to assess experimental precision. Ploidy was determined by fluorescent staining of DNA using 4,6-diamidino-2-phenylindole (DAPI). Contaminating lymphocytes were taken as internal controls to calculate DNA indices. DNA synthesis was analyzed by immunofluorescent detection of 5-bromodeoxyuridine (BrdU) incorporation. Measurements were compared with flow cytometric data obtained from the same patients. RESULTS: Relative error in determination of DNA indices was generally below 5%. Determination of proliferation indices were more variable, with a mean relative error of 25%. Two different populations of BrdU positive cells were detected systematically, one in the diploid and another in the aneuploid fraction. For both cytometric methods, DNA indices were similar in all 27 cases, whereas BrdU labeling indices showed no significant correlation in 13 cases. The remaining cases were not comparable due to lack of flow cytometric data. Labeling indices obtained by image cytometry did not reveal any significant correlation with Scarff-Bloom-Richardson grading or clinical staging. CONCLUSIONS: Automated image cytometry allows concurrent measurement of ploidy and cell proliferation within individual breast carcinoma cells. Statistical reliability can be reached with a relative small number of cells (1000), which is crucial for samples in which the cell number is too low for flow cytometry analysis. Visual control for artifact elimination and better characterization of cell populations makes this a powerful tool for tumor cell investigation. Automated image cytometry allows the obtainment of valuable prognostic parameters of traditional flow cytometry with the relatively small number of cells obtained in aspiration procedures.

Adult↗

Effect of external beam radiotherapy on prostatic carcinoma DNA content as measured by static image cytometry.

Static image cytometry was used to study the effect of radiotherapy on the DNA content of prostatic carcinoma. Feulgen-stained specimens from 50 patients before and after radiotherapy were examined. The DNA index increased significantly after treatment (p less than 0.03), and it occurred equally in those with low (less than 1.5) and high (greater than or equal to 1.5) indices. The level of the initial DNA index was significantly related to the rate of symptomatic progression (p less than 0.05). The initial change in and final DNA indices were not related to survival however. There was a significant increase in Gleason score (p = 0.001) and histological grade (p = 0.01) after irradiation and, when taken individually, the degree of change was related to survival in both, p = 0.05 and 0.004, respectively. As Gleason score, Mayo grade and clinical stage were not independent variables; none of them was related to survival when corrected for the other factors. Thus, DNA content or ploidy, as well as Mayo grade and Gleason score, increases in recurrent tumor after radiotherapy. This may be of importance when considering what treatment to use and how intensively the patients should be followed up.

Actuarial Analysis↗

DNA analysis in hepatoblastoma by flow and image cytometry.

BACKGROUND: In several types of tumors, including hepatocellular carcinoma, prognosis could be correlated with DNA ploidy. Few studies have been performed on hepatoblastoma with contradictory results. METHODS: Twenty-nine cases of nonpretreated hepatoblastoma were studied with flow cytometry and image cytometry for DNA index and proliferation index using paraffin-embedded tissue. RESULTS: Twenty-three (79.9%) tumors were diploid, and 6 (20.7%) were aneuploid (hyperdiploid). Patients with diploid tumors were younger than those with aneuploid tumors. With regard to stage, diploid tumors were almost equally distributed among stages (tumor, lymph node metastases, distant metastases), whereas aneuploid tumors tended to occur in higher stages (tumor, lymph node metastases, distant metastases). Diploid tumors had clearly a better prognosis than aneuploid tumors, although the difference was not statistically significant (flow cytometry, P = 0.06; image cytometry, P = 0.16). A more favorable prognosis was also noted for hepatoblastomas with low-proliferation index (< or = 7%), but the difference from tumors with high-proliferation index (> 7%) again was not statistically significant (P = 0.16). CONCLUSIONS: Although no statistically significant differences in prognosis between hepatoblastomas with diploid and aneuploid DNA content, respectively, were found, there is a clear tendency that diploid hepatoblastomas behave more favorably. The same is true for hepatoblastomas with low-proliferation index.

Aneuploidy↗