Canonical analysis of cells in normal and abnormal cervical smears

Over 4,000 cells from 105 normal and 96 abnormal uterine cervical scrapes were prepared according to the UCLA monolayer procedure, stained by a routine Papanicolaou method and visually classified by two cytopathologists and a technologist into seven classes: parabasal, metaplastic, mild dysplasia, moderate dysplasia, severe dysplasia, carcinoma in situ and invasive carcinoma. Canonical analysis was used to correlate effects-coded class membership variables with 23 cell features derived from digital image analysis. In general, nuclear texture measures derived from linear combinations of run-length correlations along with features derived from a Markov transitional probability matrix provided the best predictors of cell class. After cells were divided into benign (moderate dysplasia or less) and malignant (severe dysplasia or worse) groups, discriminant analysis correctly classified 84% of the benign cells and 91% of the malignant cells.     

Marker features for malignancy in ectocervical cells. Statistical evaluation

Marker features for malignancy have recently been observed in ectocervical cells, even in cells that are visually normal in appearance. This study assessed the statistical significance of these marker features using a mixed-model nested-design analysis of variance (ANOVA). Features in blue intermediate cells from patients with normal cytology, moderate dysplasia, and severe dysplasia/carcinoma in situ, nonkeratinizing cells from patients with moderate dysplasia, severe dysplasia/carcinoma in situ, and invasive cancer, and dysplastic cells from areas of metaplasia from patients with moderate dysplasia, severe dysplasia/carcinoma in situ, and invasive cancer were tested. ANOVA clearly demonstrated that the marker features differentiate between cells of the same cell type originating from patients in different diagnostic categories. In every instance, the differences owing to the diagnostic category were statistically significantly greater than those caused by patient-to-patient variability. Although the discriminating marker features in the intermediate cells were almost exclusively spectral features reflecting staining differences, morphometric features were also marker features in the dysplastic cells.     

Prediction of various grades of cervical neoplasia on plastic-embedded cytobrush samples. Discriminant analysis with qualitative and quantitative predictors.

The purpose of this study was to investigate whether discrimination into five groups of various grades of cervical preneoplasia and neoplasia is possible using discriminant analysis models. Data were analyzed for 242 cases diagnosed as either slight dysplasia (n = 50), moderate dysplasia (n = 50), severe dysplasia (n = 50), carcinoma in situ (n = 50) or invasive carcinoma (n = 42) and consisted of qualitative and quantitative features of cells derived from a repeat sample taken from the ectocervix as well as the endocervix using Cytobrushes. The samples were embedded in plastic, and thin sections were prepared, resulting in a monolayer of cut nuclei. The percentages of expected correct prediction were obtained by using 10,000 double cross-validation samples; the mean percentage of correct prediction into five groups using cross-validation was 65% (in the original analysis, 72%) and into two groups (dysplasia versus carcinoma in situ and invasive carcinoma) was 91% (93%). The results reflect group discrimination potential; we do not claim reliability of prediction for an individual patient. The patients were not a representative sample of the population; to investigate whether groups of patients could be discriminated on the basis of both qualitative and quantitative features, the data analyzed contain an almost equal number of observations in each of the five groups. The results indicate that features do not classify the cases in the same way; the discriminant analyses suggest that quantitative features play an important role in the discrimination of dysplasia from carcinoma cases, while the majority of the qualitative features are important in discrimination within the three dysplasia groups.     

Prognosis of moderate dysplasia. Predictive value of selected markers in routinely prepared cervical smears

Digital image analysis was used to extract features from 1,123 abnormal cells in 23 routinely prepared, Papanicolaou-stained cervical smears. All slides examined had a cytologic diagnosis of moderate dysplasia. Seven slides came from patients who eventually progressed to either a severe dysplasia or carcinoma in situ; the other 16 slides came from patients whose dysplasias regressed without evidence of more serious disease. Linear discriminant analysis correctly classified approximately 73% of the cells from the regression group and 66% of the cells from the progression group. Cell features contributing to the majority of variance in the model were the mean optical density of the nucleus, an autocorrelation measure, the mean optical density of the cytoplasm and the nuclear-cytoplasmic ratio. At the patient level, 13 (81.2%) of the 16 slides from the regression group and 6 (85.7%) of the 7 slides from the progression group were correctly classified. These figures yield a sensitivity of 66.7%, a specificity of 92.9%, a predictive value of a progression prognosis of 85.9% and a predictive value of a regression prognosis of 81.2%. The overall efficiency of the model was 82.6%. These preliminary results should encourage further studies for the identification of markers to indicate which patients are at high risk for progression of their cervical dysplasias.     

Marker features for malignancy in ectocervical cells

Marker features for malignancy have recently been observed in ectocervical cells, even in cells that are visually normal in appearance. This study assessed the statistical significance of these marker features using a mixed-model nested-design analysis of variance (ANOVA). Features in blue intermediate cells from patients with normal cytology, moderate dysplasia, and severe dysplasia/carcinomain situ, nonkeratinizing cells from patients with moderate dysplasia, severe dysplasia/carcinomain situ, and invasive cancer, and dysplastic cells from areas of metaplasia from patients with moderate dysplasia, severe dysplasia/carcinomain situ, and invasive cancer were tested. ANOVA clearly demonstrated that the marker features differentiate between cells of the same cell type originating from patients in different diagnostic categories. In every instance, the differences owing to the diagnostic category were statistically significantly greater than those caused by patient-to-patient variability. Although the discriminating marker features in the intermediate cells were almost exclusively spectral features reflecting staining differences, morphometric features were also marker features in the dysplastic cells.     

Sensitivity of Seescan TV image analysis in discriminating between normal, dysplastic and malignant oral smears

OBJECTIVE: Smears from premalignant and malignant lesions may contain large proportions of normal cells together with atypical cells; that could reduce the sensitivity of cytologic diagnosis. The present study assessed the performance of the Seescan TV image analysis system (TVIAS) in distinguishing between normal, premalignant and malignant oral smears. The sensitivity of Seescan TVIAS was tested using both white and monochromatic light. STUDY DESIGN: Nuclear area (NA) and corrected integrated optical density (IOD) of 50 Feulgen-stained nuclei were measured in smears collected from normal oral mucosa (n = 6), lesions displaying epithelial dysplasia (n = 5) and invasive squamous cell carcinoma (n = 5) using a Seescan TVIAS with both white and monochromatic light. RESULTS: There was a significant increase (P < .001) in mean IOD for nuclei in smears from dysplastic lesions and carcinomas as compared with normal smears. For smears from carcinomas, the mean NA was significantly elevated as compared with dysplastic (P < .001) and normal smears (P < .01). Mean NA for dysplastic smears was significantly reduced as compared with normal smears. While all smears from premalignant and malignant lesions contained mostly normal nuclei, a significant proportion of abnormal nuclei was identified in each smear. CONCLUSION: Although oral smears contain large amounts of normal cells, the Seescan TVIAS could successfully identify dysplastic and malignant cells on the basis of both IOD and NA values with or without the use of a monochromatic filter.     

Diagnosis of pancreatic carcinoma by fine needle aspiration cytology and computerized cytomorphometry

Eighty-one fine needle aspirations (FNAs) of pancreatic masses were performed between 1980 and 1988. Histologic or clinical follow-up was available for correlation with 78 aspirates. The FNA cytologic diagnosis of pancreatic carcinoma had a sensitivity of 79% and a specificity of 91%. Fifteen of the FNA specimens were examined with the Zeiss IBAS image analysis system to determine nuclear area, form (shape), diameter, density and integrated optical density (IOD). Nuclear area and IOD correlated most highly with the final diagnoses. Negative aspirates from benign cases and "false negatives" from malignant cases had similar morphometric values. Cells from adenocarcinoma had greater nuclear area and IOD values in cases cytologically labeled positive than in cytologically suspicious cases. Diagnoses based upon IOD values had a sensitivity and a specificity of 100% and 86%, respectively, while the use of nuclear area measurements produced values of 100% and 100%, respectively. These data indicate that nuclear area and IOD measurements can be valuable adjuncts to qualitative cytology for the diagnosis of pancreatic fine needle aspirates.     

Expression of CA IX in dysplasia adjacent to surgical resection margins of oral squamous cell carcinoma

Carbonic anhydrase (CA) IX is a hypoxia marker located almost exclusively in tumor cells. We analyzed the expression of this marker in dysplastic lesions adjacent to the surgical resection margin in patients with oral squamous cell carcinoma. We investigated 70 archived tumors, 36 of which showed dysplasia adjacent to the surgical margin. We used tissue microarray technology to perform an immunohistochemical study of CA IX expression. We found 12 (33.3%) cases of mild dysplasia (10 negative, 2 positive for CA IX), five (13.9%) cases of moderate dysplasia (3 negative, 2 positive for CA IX), 1 (2.8%) case of severe dysplasia (negative for CA IX) and 18 (50%) cases of carcinoma in situ (10 negative, 8 positive for CA IX). In cases of intense expression of CA IX in the tumor, the same distribution of positive and negative cases was observed in all degrees of dysplasia (mild, moderate, severe), although cases of carcinoma in situ tended to be CA IX positive.     

Hydrolysis profiles of formalin fixed paraffin-embedded tumors based on IOD (integrated optical density) and nuclear texture feature measurements.

The aim of the study was to determine optimal hydrolysis time for the Feulgen DNA staining of archival formalin fixed paraffin-embedded surgical samples, prepared as single cell suspensions for image cytometric measurements. The nuclear texture features along with the IOD (integrated optical density) of the tumor nuclei were analysed by an automated high resolution image cytometer as a function of duration of hydrolysis treatment (in 5 N HCl at room temperature). Tissue blocks of breast carcinoma, ovarian serous carcinoma, ovarian serous tumor of borderline malignancy and leiomyosarcoma were included in the study. IOD hydrolysis profiles showed plateau between 30 and 60 min in the breast carcinoma and leiomyosarcoma, and between 40 and 60 min in the ovarian serous carcinoma and ovarian serous tumor of borderline malignancy. Most of the nuclear texture features remained stable after 20 min of hydrolysis treatment. Our results indicate that the optimal hydrolysis time for IOD and for nuclear texture feature measurements, was between 40 and 60 min in the cell preparations from tissue blocks of three epithelial and one soft tissue tumor.     

Masking effect of hormonal contraceptives on discriminating quantitative features of visually normal intermediate cells in positive and negative cervical smears

In quantitative studies of visually normal intermediate cells in smears from patients with cervical neoplasia, the contraceptive status of the patients has not previously been taken into account. In this study cervical smears from 151 patients with cervical intraepithelial neoplasia (CIN) III or invasive carcinoma and from 360 normal controls were grouped according to week of menstrual or pill cycle and mode of hormonal contraception. The nuclear-cytoplasmic (N/C) ratio of visually normal intermediate cells in smears from patients with neoplasia was significantly different from that of the normal controls (P less than .001). Based on nuclear area and N/C ratio, the percentages of intermediate cells correctly classified as having come from positive or negative smears were significantly better in women with ovulatory cycles (non-users) than in women using hormonal contraceptives (P less than .025). It is concluded that hormonal contraceptives can mask the salient quantitative features of visually normal intermediate cells from patients with CIN and the contraceptive status thus has to be taken into account in such studies.     

Malignancy-associated changes in breast tissue detected by image cytometry.

In several tissues, nuclear differences have been described in normal-appearing cells from patients with invasive carcinomas compared to cases without invasive carcinoma, a phenomenon known as malignancy-associated changes (MACs). The aim of this study was to determine the presence of malignancy-associated changes in breast tissue. Image cytometry was performed on Feulgen stained tissue sections of patients with usual ductal hyperplasia with (n = 30) or without (n = 41) adjacent invasive breast carcinoma. Nuclear features of normal-appearing cells as well as of usual ductal hyperplastic cells were separately compared between the two groups. Many features of normal-appearing epithelial cells were significantly different between cases with and without invasive cancer. Significant differences were also found by measuring ductal hyperplastic nuclei instead of normal-appearing nuclei. Cases with or without cancer could be distinguished with a classification accuracy of 80% by discriminant analysis using 2 nuclear features derived from ductal hyperplastic cells. In conclusion, image cytometry on breast tissue sections shows that malignancy-associated changes can be found in normal as well as in usual ductal hyperplastic breast cells. This could be clinically relevant for the detection of occult breast cancer, for the prediction of risk in these lesions, and to monitor the effect of chemopreventive agents.     

Cytometric evidence that cervical intraepithelial neoplasia I and II are dysplasias rather than true neoplasias. An image analysis study of factors involved in the progression of cervical lesions.

Image analysis was performed on 40 Feulgen-stained histologic samples and 48 Feulgen-stained cytologic preparations representing normal squamous epithelium and all grades of cervical lesions (from mild dysplasia to invasive carcinoma) in order to characterize the evolutionary progressive changes in cervical epithelial proliferative disease toward malignancy. Quantitative studies included the analysis of proliferative features, differentiation features, nuclear morphology and DNA content. The data obtained on the histologic sections showed that the various features, to a different extent, detected a gradual increase in phenotypic cellular disarrangements related to the progression of the cervical lesions toward malignancy--that is, the modifications to nuclear area, perimeter, DNA content, percentage of nuclei with nucleoli, nuclear/cytoplasmic ratio and percentage of cells with no membrane positivity for soybean agglutinin lectin were progressively greater, moving from normal epithelium and mild dysplasia toward infiltrating carcinoma. In particular, all the morphologic and histochemical features appeared to parallel a diploid reduction and the appearance of aneuploidy. The simultaneous evaluation of proliferation- and differentiation-related features, together with those of nuclear DNA content, showed two main successive preneoplastic lesions: one characterized by an increase in cell turnover without alterations in its organization and another by a true neoplastic disorder. The data obtained on sequential cytologic examinations showed that individual cell changes are detectable and seem basically to be characterized by the appearance of clusters of cells with somatic characteristics not observed in previous cytologic checks. From the results of our study, the cervical intraepithelial neoplasia (CIN) concept appears to be inaccurate. In fact, only CIN III (severe dysplasia/carcinoma in situ) lesions have the morphologic and proliferative alterations of true neoplasia. In contrast, CIN I and some cases of CIN II lesions lack these characteristics and seem to be properly classified as dysplasia, thus avoiding the term neoplasia, implicit in CIN. Moreover, the multivariate study of data sets of features related to the progressive somatic changes, both in histologically and cytologically studied cases, allows us to detect the steps of progression; they are marked by the appearance of cell clusters with qualitatively different phenotypic characters when compared to the cell populations from which they presumably arise. These results seem to provide a further argument against the CIN theory, which stresses the concept that progression is related only to a gradual numerical increase in an initially established phenotype with the characteristics of malignancy.     

Multidimensional slit-scan detection of bladder cancer. Preliminary clinical results

A multidimensional slit-scan flow system was developed for the automated recognition of abnormal cells derived from cancer of the uterine cervix and its precursors. It provides great sensitivity in both its ability to recognize cellular abnormality and to deal with the myriad potential causes of false alarms in an automated flow system. While its initial application was the automated recognition of the spectrum of neoplasia in gynecologic cytology samples, a preliminary study was carried out using specimens obtained from the urinary bladder. Cellular material was collected by bladder irrigation and stained with the fluorochrome acridine orange. One hundred fifty-three bladder irrigation specimens, including 115 abnormal specimens containing cells derived from neoplastic lesions of the bladder epithelium, were analyzed. For the purposes of this study, abnormal specimens from the urinary bladder included specimens containing cells derived from the following lesions of the urothelium: dysplasia (atypical hyperplasia), carcinoma-in-situ, and transitional cell carcinoma, grades 1-3. Approximately 50,000 cells were analyzed for most specimens. Of the 38 presumed normal specimens (specimens containing only normal urothelial components), four were instrument classified abnormal. For the 69 specimens containing cells derived from transitional cell carcinoma, grade 1, 1-2, 2, 66 were correctly classified as abnormal while three were classified as normal.(ABSTRACT TRUNCATED AT 250 WORDS)     

Computerized interactive morphometry as an aid in the diagnosis of pleural effusions

A morphometric study of cytologic preparations from patients with benign and malignant (mesothelioma and carcinoma) pleural effusions is reported. The routine cytologic smears from these specimens were studied with a new system of video-based computerized interactive morphometry (CIM) that allows the measurements of real-time images of cell profiles by the simple procedure of touching the two extreme points of a diameter of interest on a touch-sensitive screen. For each cell, the nuclear profile diameter (NPD) and the cytoplasmic profile diameter (CPD) are measured and categorized into classes with 2-microns intervals; the NPD/CPD ratio is also calculated. The mean NPD is calculated for the specimen after measurement of 100 cells. The data were interpreted by two independent methods: a statistical method of discriminant analysis that classifies the lesions as benign, carcinoma or mesothelioma and provides a probability statement of membership in a particular diagnostic class and an ad-hoc algorithm that categorizes the effusions as benign or malignant based on hierarchic analysis. A data base derived from study of the first 24 cases was constructed and utilized for the test classification of the second 24 cases, which were treated as specimens of unknown diagnosis. The discriminant analysis correctly classified 21 of the 24 test cases into their proper diagnostic groups. The algorithm for a computer-generated pathologic diagnosis correctly identified 47 of the 48 cases as benign or malignant. The technical advantages of video-based CIM over the existing morphometric methods are discussed.     

Distinguishing cortical adrenal gland adenomas from carcinomas by their quantitative nuclear features

OBJECTIVE: To explore data from a set of cases of adrenal cortical adenomas with different endocrine syndromes and carcinomas to determine whether quantitative image analysis of nuclear features might be used to separate the groups. STUDY DESIGN: Fifteen adrenal cortical tumors in which clinical information and optimally preserved, paraffin-embedded tissue were available were used. There were 10 adenomas and 5 carcinomas. Among the adenomas, five were associated with primary hyperaldosteronism (Conn's syndrome) and five with Cushing's syndrome. Five-micrometer-thick sections were stained with hematoxylin and eosin. In each case 50 nuclei were measured, and a number of morphometric and densitometric features were extracted. The data were subjected to multivariate analysis. RESULTS: Quantitative analysis showed that nuclei from adrenal carcinomas are larger than those from adenomas. Total optical density (OD) had a near-diploid distribution in the adenomas, while it was clearly aneuploid in the carcinomas. The pixel OD histograms were almost identical for all groups. Differences in nuclear chromatin texture were found between adenomas and carcinomas and also between the two adenoma categories. Multivariate analysis showed good discrimination between carcinomas and adenomas (Wilks lambda = .628, P < .0001) and between adenomas. However, based on Bayesian decision boundaries, 20-25% of carcinoma nuclei could be expected to be in the range of adenoma, and about 12% of Cushing's adenoma nuclei and 15% of Conn's adenoma nuclei would be classified as carcinoma. CONCLUSION: Computer-assisted analysis of nuclear characteristics proved useful in identifying and describing differences between groups of tumors arising in the adrenal cortex.     

Intermediate cell markers for malignancy. Consistency of expression

Studies of samples from a larger patient population confirmed the consistency of expression of the previously reported markers for malignancy in normal-appearing intermediate cervical cells in samples from patients with abnormal cytology (moderate dysplasia and severe dysplasia/carcinoma in situ). Based on samples of only 30 cells per case, a false-negative rate of 10% to 30% was estimated. The expression of the marker features thus provides a clear indication of uterine abnormal cytology; the lack of expression, however, does not entirely rule out the possibility of uterine abnormalities. The use of larger sample sizes and better staining protocols could further enhance the usefulness of marker feature studies in the prescreening for cancer.     

Morphological and Immunohistochemical Study of Ovarian and Tubal Dysplasia Associated with Tamoxifen

Ovarian epithelial dysplasia was initially described in material from prophylactic oophorectomies for BReast CAncer gene (BRCA) mutation. Similar histopathological abnormalities have been revealed after ovulation stimulation. Given that tamoxifen (TAM) has a clomid-like effect and is sometimes used to induce ovulation, we studied the morphological features and immunohistochemical expression patterns of neoplasia-associated markers in adnexectomies previously exposed to TAM for breast cancer. We blindly reviewed 173 histopathological slides of adnexectomies according to three groups – oophorectomies associated with TAM exposure (n=42), oophorectomies associated with clomiphene exposure (n=15) and a spontaneously fertile non cancerous control group (n=116). Morphological features (with an ovarian and tubal dysplasia scoring system) and immunohistochemical expression patterns of Ki-67, p53 and Aldehyde dehydrogenase 1 (ALDH1 is an enzyme significantly associated with earlystage ovarian cancer) were evaluated and correlated. Mean tubal dysplasia score was significantly higher in the TAM group and clomiphen group than in controls (respectively 7.8 vs 3.5, P<0.007 and 6.8 vs 3.5, P=0.008). There is no statistical difference for the ovarian score in TAM group in comparison with the control group whereas we found a significant score for clomiphen group (6.5, P=0.009). Increased ALDH1 expression was observed in the two exposed group whereas expression patterns of Ki67 and p53 were moderate. Interestingly, ALDH1 expression was low in non-dysplastic epithelium, high in dysplasia, and constantly low in the two carcinoma.Furthemore, we confirm our previous results showing that ALDH1 may be a useful tissue biomarker in the subtle histopathological diagnosis of tubo-ovarian dysplasia.Key words: ovarian carcinogenesis, ovarian dysplasia, prophylactic oophorectomy, ALDH1, p53     

Comparison of quantitative histomorphometry and DNA ploidy in tissue sections of prostate carcinoma

OBJECTIVE: To examine the ability of quantitative histomorphometry to predict DNA ploidy of prostate carcinoma in biopsy tissue sections assigned after quantitation by nuclear digital image analysis. STUDY DESIGN: Thirty-five diploid, 35 tetraploid and 35 aneuploid prostatic carcinomas in biopsies, assessed by the CAS 200 image analyzer (Bacus Laboratories, Lombard, Illinois, U.S.A.), were reevaluated by the Bacus Laboratories Incorporated Slide Scanner, a microscope that quantifies histologic images. Thirty-one histomorphometric features from cancer cells were captured at 40 x magnification, averaged across tilesfor each case and incorporated into a multivariate discriminant model to determine which features predicted ploidy interpretation by nuclear image analysis using the CAS 200. RESULTS: On average, 60 and 15 minutes were required to perform nuclear image analysis and histomorphometry, respectively. The multivariate discriminant model identified configurable run length, difference variance, contrast, inverse difference moment, sum entropy and diagonal variance as histomorphometry features capable of distinguishing diploid from nondiploid tumors (P < .05). Cross-validation studies showed the model correctly classified 74.3% of the diploid and 57.1% of the nondiploid cases. CONCLUSION: Quantitative histomorphometry can predict the ploidy of prostate carcinoma in biopsy tissue sections. Quantitative histomorphometry has potential as a method of rapidly assessing DNA ploidy otherwise earmarked for nuclear image analysis, resulting in savings of time and expense.     

Screening errors in cervical cytologic screening

A total of 555 cervical smears, originally classified as Papanicolaou classes I and II, from women in whom three years later cytologic findings consistent with moderate dysplasia, severe dysplasia, carcinoma in situ and invasive cancer were diagnosed were reviewed in order to estimate the screening error. The initial diagnosis proved to be underestimated in 17.5% of the smears. The two diagnoses correlated in 70.2% of the smears while 12.3% of the smears that contained no abnormality were judged to be inadequate for making a diagnosis, probably representing sampling errors. Quality-control measures to reduce these errors are briefly summarized.