Karyometry in atypical endometrial hyperplasia: a Gynecologic Oncology Group study.

OBJECTIVES: Treatment for atypical endometrial hyperplasia (AEH) is based on pathologic diagnosis. About 40% of AEH is found to be carcinoma at surgery. This study's objective is to derive an objective characterization of nuclei from cases diagnosed as AEH or superficially invasive endometrial cancer (SIEC). METHODS: Cases from GOG study 167A were classified by a central pathology committee as AEH (n=39) or SIEC (n=39). High resolution digitized images of cell nuclei were recorded. Features of the nuclear chromatin pattern were computed. Classification rules were derived by discriminant analysis. RESULTS: Nuclei from cases of AEH and SIEC occupy the same range on a progression curve for endometrial lesions. Cases of AEH and SIEC both comprise nuclei of two phenotypes: hyperplastic characteristics and premalignant/neoplastic characteristics. The principal difference between AEH and SIEC is the percentage of premalignant/neoplastic nuclei. When this percentage approaches 50-60% superficial invasion is likely. SIEC may develop already from lesions at the low end of the progression curve. CONCLUSIONS: AEH comprises cases which may constitute a low risk group involving <40% of AEH cases. These cases hold a percentage of <20% of nuclei of a preneoplastic phenotype. AEH cases from the central and high end of progression have >40% of nuclei of preneoplastic phenotype. Nuclei of the preneoplastic phenotype in AEH lesions are almost indistinguishable from nuclei in SIEC, where this percentage exceeds 60%. The percentage of nuclei of the preneoplastic phenotype in AEH esions might serve as criterion for assessment of risk for the development of invasive disease.

Digital image analysis of breast epithelial cells collected by random periareolar fine-needle aspirates (RPFNA) from women at high risk for breast cancer taking hormone replacement and the aromatase inhibitor, letrozole, for six months.

Aromatase inhibitors are currently being evaluated as preventive agents in post-menopausal women at high risk for breast cancer. A phase II trial of 42 women on hormone replacement therapy (HRT) treated with letrozole for 6 months showed Ki-67 was reduced by 66% but showed no change in cytomorphology or Masood score. Subsequent image analytical procedures (karyometry) conducted on a subset of the samples captured subvisual information that showed reduced cellular abnormality after 6 months of letrozole. In the present study we expanded on the preliminary karyometry study to determine if the change in karyometric measurements corresponded to changes in risk biomarkers quantified in the Phase II trial; and secondly, whether these biomarkers might be used together to serve as markers of response in individual cases. Pap stained slides from the Phase II trial were used. Epithelial cell images were digitized on a CCD video-microphotometer and the nuclei were segmented from the field using a semiautomatic algorithm. Nine out of 37 cases analyzed showed a numerical decrease in all three markers, although only three of these exhibited changes substantial enough to be considered as an improvement. However, 12 cases showed improvement by cytology (a decrease in Masood score of at least 2), an additional 13 cases demonstrated a reduction in Ki-67 expression by 50% of the median baseline value, and an additional five cases exhibited a decrease of at least 10% in abnormal cells by nuclear morphometry. Thus, a total of 30 of 37 cases (81%) showed improvement in at least one marker. There was no correlation between changes in Ki-67%, karyometric abnormality, and Masood score change other than specimens that exhibited an improvement in cytology also displayed greater decreases in nuclear morphometry abnormalities. Given the heterogeneity of mechanisms leading to malignancy, the quantitative analysis of nuclear chromatin patterns may be valuable as a global, or integrating, biomarker of change in chemoprevention studies in conjunction with additional markers. Correlation with long term clinical outcome is needed to validate meaningful combinations of informative biomarkers.

Phase II Trial of Chemopreventive Effects of Levonorgestrel on Ovarian and Fallopian Tube Epithelium in Women at High Risk for Ovarian Cancer: An NRG Oncology Group/GOG Study.

A large body of epidemiologic evidence has shown that use of progestin-containing preparations lowers ovarian cancer risk. The purpose of the current study was to gather further preclinical evidence supporting progestins as cancer chemopreventives by demonstrating progestin-activation of surrogate endpoint biomarkers pertinent to cancer prevention in the genital tract of women at increased risk of ovarian cancer. There were 64 women enrolled in a multi-institutional randomized trial who chose to undergo risk-reducing bilateral salpingo-oophorectomy (BSO) and to receive the progestin levonorgestrel or placebo for 4 to 6 weeks prior to undergoing BSO. The ovarian and fallopian tube epithelia (FTE) were compared immunohistochemically for effects of levonorgestrel on apoptosis (primary endpoint). Secondary endpoints included TGFß isoform expression, proliferation, and karyometric features of nuclear abnormality. In both the ovary and fallopian tube, levonorgestrel did not confer significant changes in apoptosis or expression of the TGFß1, 2, or 3 isoforms. In the ovarian epithelium, treatment with levonorgestrel significantly decreased the proliferation index. The mean ovarian Ki-67 value in the placebo arm was 2.027 per 100 cells versus 0.775 per 100 cells in the levonorgestrel arm (two-sided P value via Mann-Whitney U test = 0.0114). The karyometric signature of nuclei in both the ovarian and FTE deviated significantly from normal controls (women at average risk of ovarian cancer), but was significantly less abnormal in women treated with levonorgestrel. These karyometric data further support the idea that progestins may clear genetically abnormal cells and act as chemopreventive agents against ovarian and fallopian tube cancer.

Limits of detection of chemopreventive efficacy: karyometry of skin biopsies.

OBJECTIVE: This study was designed to establish estimates of the smallest effects due to chemopreventive intervention detectable by karyometry in skin biopsies. METHODS: Estimates of the smallest change of statistical significance and estimates of the power of the test were derived for several key features descriptive of the distribution of nuclear chromatin. Results from triplicate biopsies from the same case were used to provide estimates of the within-case, biopsy-to-biopsy variance. RESULTS: Generally, a change in feature value due to chemopreventive intervention can be statistically secured when it amounts to 5% to 10%. In clinical trials where matched baseline and end of study biopsies from the same cases are available, paired comparison ANOVA can detect a 2% change on samples of 25 cases. Establishing efficacy in individual cases requires a change in feature values on the order of 10% to 15%. CONCLUSIONS: Karyometry provides a sensitive, quantitative method for the assessment of efficacy of chemoprevention. The effects of within-case, biopsy-to-biopsy variance need to be considered only in the evaluation of individual cases and are on the order of 5% in skin biopsies.

Karyometry of the colonic mucosa.

OBJECTIVE: The study summarizes results of karyometric measurements in epithelial cells of the colorectal mucosa to document evidence of a field effect of preneoplastic development among patients with colorectal adenocarcinoma or adenoma. METHODS: Karyometric analyses were done on high-resolution images of histologic sections from 48 patients with colorectal adenocarcinomas and 44 patients with adenomas and on images from matching normal-appearing mucosa directly adjacent to such lesions, at a 1-cm and 10-cm distance from the lesions or from the rectal mucosa of adenoma patients, as well as from 24 healthy normal controls with no family history of colonic disease. RESULTS: The nuclei recorded in the histologically normal-appearing mucosa of patients with either colorectal adenoma or adenocarcinoma exhibited differences in karyometric features in comparison with nuclei recorded in rectal mucosa from patients who were free of a colonic lesion. These differences were expressed to the same extent in tissue adjacent to the lesions and in normal-appearing tissue as distant as the rectum. CONCLUSIONS: The nuclear chromatin pattern may serve as an integrating biomarker for a preneoplastic development. The field effect might provide an end point in chemopreventive intervention trials.

Chromatin phenotype karyometry can predict recurrence in papillary urothelial neoplasms of low malignant potential.

BACKGROUND: A preceding exploratory study (J. Clin. Pathol. 57(2004), 1201-1207) had shown that a karyometric assessment of nuclei from papillary urothelial neoplasms of low malignant potential (PUNLMP) revealed subtle differences in phenotype which correlated with recurrence of disease. AIM OF THE STUDY: To validate the results from the exploratory study on a larger sample size. MATERIALS: 93 karyometric features were analyzed on haematoxylin and eosin-stained sections from 85 cases of PUNLMP. 45 cases were from patients who had a solitary PUNLMP lesion and were disease-free during a follow-up period of at least 8 years. The other 40 were from patients with a unifocal PUNLMP, with one or more recurrences in the follow-up. A combination of the previously defined classification functions together with a new P-index derived classification method was used in an attempt to classify cases and identify a biomarker of recurrence in PUNLMP lesions. RESULTS: Validation was pursued by a number of separate approaches. First, the exact procedure from the exploratory study was applied to the large validation set. Second, since the discriminant function 2 of the exploratory study had been based on a small sample size, a new discriminant function was derived. The case classification showed a correct classification of 61% for non-recurrent and 74% for recurrent cases, respectively. Greater success was obtained by applying unsupervised learning technologies to take advantage of phenotypical composition (correct classification of 92%). This approach was validated by dividing the data into training and test sets with 2/3 of the cases assigned to the training sets, and 1/3 to the test sets, on a rotating basis, and validation of the classification rate was thus tested on three separate data sets by a leave-k-out process. The average correct classification was 92.8% (training set) and 84.6% (test set). CONCLUSIONS: Our validation study detected subvisual differences in chromatin organization state between non-recurrent and recurrent PUNLMP, thus allowing a very stable method of predicting recurrence of papillary urothelial neoplasms of low malignant potential by karyometry.

Quantitative histopathology identifies patients with thin melanomas who are at risk for metastases.

This small exploratory study was designed to test the hypothesis that thin melanoma lesions contain nuclei of two similar phenotypes, in different proportions. In lesions likely to progress to metastatic disease, one of these phenotypes predominates. Histopathological sections from 18 cases of thin melanomas which did not progress to metastasis, and from 10 cases which did progress were imaged and digitized at high resolution, with a total of 2084 and 1148 nuclei, respectively, recorded. Five karyometric features were used to discriminate between nuclei from indolent and from potentially metastatic lesions. For each case, the percentage of nuclei classified by the discriminant function as having come from a potentially metastatic lesion was determined and termed as case classification criterion. Standard histopathological criteria, such as ulceration and high mitotic index, indicated in this material the need for intensive therapy for only one of the 10 participants, as compared with 7/10 identified correctly by the karyometric measure. Using a case classification criterion threshold of 40%, the overall accuracy was 86% in the test set. The proportion of nuclei of an aggressive phenotype may lend itself as an effective prognostic clue for thin melanoma lesions. The algorithm developed in this training set appears to identify those patients at high risk for metastatic disease, and demonstrates a basis for a further study to assess the utility of prognostic clues for thin melanomas.

Exploratory study of ovarian intraepithelial neoplasia.

PURPOSE: This was an exploratory study to test two hypotheses related to potential epithelial precursors to ovarian cancer: (a) histologically normal ovarian surface epithelium exhibited changes in the nuclear chromatin pattern, which indicate an ovarian abnormality, and (b) such changes were detectable in the ovarian surface epithelium of cancer-free subjects who were at high risk for ovarian cancer. EXPERIMENTAL DESIGN: Ovaries were carefully collected to avoid damage to the surface epithelium. Five-micron-thick histologic sections were cut and stained with H&E. High-resolution images were recorded from the ovarian surface epithelium and from the underlying stroma of ovaries from normal women (10 cases), women at high risk of developing ovarian cancer (7 cases), and histologically normal areas adjacent to ovarian cancer (3 cases). Karyometric features and measurements of nuclear abnormality were computed for 3,390 epithelial nuclei. Discriminant function analyses and unsupervised learning algorithms were employed to define deviations from normal and to identify the subpopulations of nuclei exhibiting these changes. RESULTS: Epithelium from ovaries harboring a malignant lesion had changes in the nuclear chromatin pattern consistent with a second phenotype, which were not visually detected with histopathologic surveillance. This phenotype was also present in the ovaries obtained from women at increased risk of ovarian cancer, suggesting that it may represent a premalignant abnormality. These changes were statistically significant. CONCLUSION: The observed changes in karyometric features were sufficiently distinct to warrant further study as both diagnostic and prognostic biomarkers for early detection and prevention of ovarian cancer.

High Proportion of Nuclear Phenotype Identifies Aggressive Cutaneous Squamous Cell Carcinoma.

OBJECTIVE: To develop a quantitative histopathology algorithm to predict which patients with cutaneous squamous cell carcinoma (cSCC) were likely to experience recurrence or metastases. STUDY DESIGN: This retrospective study of cSCC lesions compared patients with aggressive disease (n = 40) and those with nonaggressive disease (n = 35). Based on a previous study using nuclear karyometry, we determined that aggressive lesions had a high proportion of a specific nuclear phenotype. The proportion of those nuclei was used to derive an aggressiveness score for each lesion. The mean age of patients was similar in both groups, as were the locations of index lesions. RESULTS: The mean aggressiveness scorefor cases with aggressive lesions was 0.60 ± 0.21 and was 0.28 ± 0.35 for those with nonaggressive lesions. The overall accuracy in properly characterizing lesions was 72%. The area under the receiver operating characteristic curve was 0.80 ± 0.05. In general, the aggressive nuclear phenotype is represented by elevated levels of chromatin clumps and short linear segments of dark chromatin/intense pixels. CONCLUSION: These data suggest that discriminant functions may be utilized to distinguish between aggressive and nonaggressive lesions at the time of diagnosis.

The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia.

Quantitative examination of prostate histology offers clues in the diagnostic classification of lesions and in the prediction of response to treatment and prognosis. To facilitate the collection of quantitative data, the development of machine vision systems is necessary. This study explored the use of imaging for identifying tissue abnormalities in prostate histology. Medium-power histological scenes were recorded from whole-mount radical prostatectomy sections at x 40 objective magnification and assessed by a pathologist as exhibiting stroma, normal tissue (nonneoplastic epithelial component), or prostatic carcinoma (PCa). A machine vision system was developed that divided the scenes into subregions of 100 x 100 pixels and subjected each to image-processing techniques. Analysis of morphological characteristics allowed the identification of normal tissue. Analysis of image texture demonstrated that Haralick feature 4 was the most suitable for discriminating stroma from PCa. Using these morphological and texture measurements, it was possible to define a classification scheme for each subregion. The machine vision system is designed to integrate these classification rules and generate digital maps of tissue composition from the classification of subregions; 79.3% of subregions were correctly classified. Established classification rates have demonstrated the validity of the methodology on small scenes; a logical extension was to apply the methodology to whole slide images via scanning technology. The machine vision system is capable of classifying these images. The machine vision system developed in this project facilitates the exploration of morphological and texture characteristics in quantifying tissue composition. It also illustrates the potential of quantitative methods to provide highly discriminatory information in the automated identification of prostatic lesions using computer vision.

Subvisual changes in chromatin organization state are detected by karyometry in the histologically normal urothelium in patients with synchronous papillary carcinoma.

This study analyzed the chromatin organization state in histologically normal urothelium in patients with synchronous papillary carcinoma using digital texture analysis. The quantitative evaluation was carried out on hematoxylin and eosin-stained sections from 17 cases of urothelial papillary carcinoma in which a simultaneous biopsy specimen featuring histologically normal urothelium was available. Five bladder biopsy specimens of histologically normal urothelium from patients with prostate pathology in whom cystoscopy revealed a normal bladder mucosa were also analyzed. Karyometry showed that the 17 cases of papillary carcinoma, morphologically classified according to the 1973 World Health Organization scheme, belonged to a continuous spectrum or trend curve spanning grade 1 to grade 3. An abnormal pattern and distribution of the nuclear chromatin was seen in the normal-looking urothelium from the 17 bladders with papillary lesions. When this population was plotted along the trend curve, it occupied an intermediate position between the normal samples and samples from grade 1 carcinoma. When the nuclei were considered individually, the changes were detected only in a subpopulation of nuclei with chromatin alteration pointing toward that seen in grade 1 cases, even though distinct from them. In conclusion, karyometry can detect an abnormal chromatin pattern and distribution in the normal-looking urothelium adjacent to papillary carcinoma. Such alterations correspond to the so-called "malignancy-associated change."

An array microscope for ultrarapid virtual slide processing and telepathology. Design, fabrication, and validation study.

This paper describes the design and fabrication of a novel array microscope for the first ultrarapid virtual slide processor (DMetrix DX-40 digital slide scanner). The array microscope optics consists of a stack of three 80-element 10 x 8-lenslet arrays, constituting a "lenslet array ensemble." The lenslet array ensemble is positioned over a glass slide. Uniquely shaped lenses in each of the lenslet arrays, arranged perpendicular to the glass slide constitute a single "miniaturized microscope." A high-pixel-density image sensor is attached to the top of the lenslet array ensemble. In operation, the lenslet array ensemble is transported by a motorized mechanism relative to the long axis of a glass slide. Each of the 80 miniaturized microscopes has a lateral field of view of 250 microns. The microscopes of each row of the array are offset from the microscopes in other rows. Scanning a glass slide with the array microscope produces seamless two-dimensional image data of the entire slide, that is, a virtual slide. The optical system has a numerical aperture of N.A.= 0.65, scans slides at a rate of 3 mm per second, and accrues up to 3,000 images per second from each of the 80 miniaturized microscopes. In the ultrarapid virtual slide processing cycle, the time for image acquisition takes 58 seconds for a 2.25 cm2 tissue section. An automatic slide loader enables the scanner to process up to 40 slides per hour without operator intervention. Slide scanning and image processing are done concurrently so that post-scan processing is eliminated. A virtual slide can be viewed over the Internet immediately after the scanning is complete. A validation study compared the diagnostic accuracy of pathologist case readers using array microscopy (with images viewed as virtual slides) and conventional light microscopy. Four senior pathologists diagnosed 30 breast surgical pathology cases each using both imaging modes, but on separate occasions. Of 120 case reads by array microscopy, there were 3 incorrect diagnoses, all of which were made on difficult cases with equivocal diagnoses by light microscopy. There was a strong correlation between array microscopy vs. "truth" diagnoses based on surgical pathology reports. The kappa statistic for the array microscopy vs. truth was 0.96, which is highly significant (z=10.33, p <0.001). There was no statistically significant difference between rates of agreement with truth between array microscopy and light microscopy (z=0.134, p >0.05). Array microscopy and light microscopy did not differ significantly with respect to the number/percent of correct decisions rendered (t=0.552, p=0.6376) or equivocal decisions rendered (t=2.449, p=0.0917). Pathologists rated 95.8% of array microscopy virtual slide images as good or excellent. None were rated as poor. The mean viewing time for a DMetrix virtual slide was 1.16 minutes. The DMetrix virtual slide processor has been found to reduce the virtual slide processing cycle more than 10 fold, as compared with other virtual slide systems reported to date. The virtual slide images are of high quality and suitable for diagnostic pathology, second opinions, expert opinions, clinical trials, education, and research.

Classification in karyometry: performance testing and prediction error.

Classification plays a central role in quantitative histopathology. Success is expressed in terms of the accuracy of prediction for the classification of future data points and an estimate of the prediction error. The prediction error is affected by the chosen procedure, e.g., the use of a training set of data points, a validation set, an independent test set, the sample size and the learning curve of the classification algorithm. For small samples procedures such as the "jackknife," the "leave one out" and the "bootstrap" are recommended in order to arrive at an unbiased estimate of the true prediction error. All of the procedures rest on the assumption that the data set used to derive a classification rule is representative for the diagnostic categories involved. It is this assumption that in quantitative histopathology has to be carefully verified before a clinically generally valid classification procedure can be claimed.

A randomized phase IIb presurgical study of finasteride vs. low-dose flutamide vs. placebo in men with prostate cancer. Efficacy monitored by karyometry.

OBJECTIVE: Presurgical, window of opportunity trials have been proposed as a model to assess the activity of preventive and therapeutic interventions in a cost-effective manner in prostate cancer (CaP). The aim of the study was to explore karyometry as a method for monitoring the efficacy of intervention with preventive agents in patients with CaP. MATERIALS AND METHODS: The material used in this investigation was from the 2F study, i.e., an Italian prospective randomized phase IIb presurgical study of finasteride vs. low-dose flutamide vs. placebo in men with CaP. Image analysis was performed in 16 cases treated with finasteride, 24 with flutamide, and 20 with placebo. For all these cases, CaP and normal looking secretory epithelium were present in the pretreatment biopsies as well as the post-treatment ex-vivo biopsies obtained from the radical prostatectomy specimens. RESULTS: To establish a direction of nuclear change from normal to malignancy, i.e., the so-called line of progression, a discriminant function was derived with the normal looking epithelium in the pretreatment biopsies as one endpoint, and the CaP in the pretreatment biopsies as the other. The discriminant function was then applied to the post-treatment groups. The increase in relative nuclear area was the dominant feature. In the placebo group, 15 out of 20 CaP (75%) cases had a higher discriminant function score at the end of study, with a significant increase of the mean score by 90%. The flutamide treated CaP cases had increased discriminant function scores in 19 out of 24 cases (79%) and an increase of the mean score by 43%; the 5 cases with lower scores involved only minor reductions. In contrast, the finasteride treated CaP cases had increased discriminant function scores for 8 out of 16 cases (50%), but the increase in the mean score was by only 8%. CONCLUSION: This exploratory study establishes that karyometric monitoring can track the results of subtle nuclear changes induced by preventive interventions in men with CaP, thus allowing assessment of agent activity in a cost-effective manner.

Karyometry of nuclear phenotypes in cutaneous squamous cell cancer.

OBJECTIVE: To establish the karyometric characteristics of the two main nuclear phenotypes in cutaneous squamous cell cancer (cSCC) lesions. STUDY DESIGN: The clinical materials comprised 75 cases of cSCC, 38 with aggressive lesions and 37 with nonaggressive lesions. High-resolution images of 100 nuclei per case were recorded. Data were partitioned into four subgroups covering the range of lesion progression. Four discriminant functions were derived to distinguish aggressive from nonaggressive lesions. The most typical nuclei from the phenotype predominant in aggressive lesions and nonaggressive lesions were separated out by thresholding on the discriminant function score axes. For these homogeneous sets of nuclei the karyometric features were computed. RESULTS: The nuclear populations in cSCC lesions are a very heterogeneous set. There are two axes of dispersion, along the line of lesion progression and between aggressive and nonaggressive lesions. The analysis faces the difficulty that lesions from both diagnostic categories contain nuclei of the same two phenotypes with the difference between categories consisting only of differences in proportion of the two phenotypes. CONCLUSION: The nuclei of the aggressive phenotype I and nonaggressive phenotype II have substantially different chromatin patterns and can be distinguished with > 90% correct recognition rate.

Nuclear morphometry identifies a distinct aggressive cellular phenotype in cutaneous squamous cell carcinoma.

By identifying aggressive cutaneous squamous cell carcinoma (cSCC) in patients who are at high risk for recurrences or second primaries after resection, intensive surveillance and therapy may decrease morbidity and mortality. We investigated the role of nuclear morphometry (karyometry) in differentiating between aggressive and nonaggressive cSCC. We retrospectively analyzed cSCC lesions from 40 male patients. Twenty-two patients had evidence of aggressive cSCC (local/regional recurrence or a second primary cSCC), and 18 patients were identified with similar ages and sites of disease as control patients with nonaggressive cSCC (no evidence of recurrence, metastasis, or second primary). We carried out karyometric analysis to identify nuclear features that discriminate between aggressive and nonaggressive cSCC nuclei. We used statistically significant differences (Kruskal-Wallis test, P < 0.0001) to compose a quantitative aggressive classification score (proportion of aggressive nuclei from 0% to 100%). For comparisons, we used Fisher's exact test or Student's t test. The mean age was 79 ± 7 years for aggressive cSCC and 80 ± 9 years for nonaggressive cSCC (P = 0.66). We analyzed a mean of 96 nuclei in each group. The mean classification score for aggressive cSCC was significantly higher (69% ± 6%) than for nonaggressive cSCC (28% ± 5%, P = 0.00002). Overall, the classification score accurately categorized 80% of our patients (P = 0.0004). In most patients, karyometry differentiated between aggressive and nonaggressive cSCC. We found that classification scores, which provide information on individual lesions, could be used for risk stratification.

A phase 2a study of topical perillyl alcohol cream for chemoprevention of skin cancer.

The chemopreventive and antitumor properties of perillyl alcohol (POH) that were studied preclinically indicate that topical POH inhibits both UVB-induced murine skin carcinogenesis (squamous cell tumor models) and 7,12-dimethylbenz(a)anthracene-induced murine melanoma (transgenic models involving tyrosinase-driven Ras). A previous phase 1 clinical trial in participants with normal-appearing skin showed that topical POH cream was well tolerated at a dose of 0.76% (w/w). Here, we performed a 3-month, double-blind, randomized, placebo-controlled phase 2a trial of two different doses of topical POH in individuals with sun-damaged skin. Participants applied POH cream twice daily to each dorsal forearm. Baseline and end-of-study biopsies were taken from each participant to evaluate whether the topical application of POH was effective in reversing actinic damage as evidenced by normalization of quantitative skin histopathologic scores and change in nuclear chromatin pattern as measured by karyometric analysis. There was a borderline reduction in the histopathologic score of the lower-dose POH group compared with the placebo (P = 0.1), but this was not observed in the high-dose group. However, in the high-dose group, a statistically significant reduction in the proportion of nuclei deviating from normal was observed by the use of karyometric analysis (P < 0.01). There was no statistical significance shown in the lower-dose group. No changes were observed in p53 expression, cellular proliferation (by proliferating cell nuclear antigen expression), or apoptosis in either treatment group compared with the placebo group. These results suggest that whereas our karyometric analyses can detect a modest effect of POH in sun-damaged skin, improved delivery into the epidermis may be necessary.

Discriminant analysis.

OBJECTIVE: To present a fully worked numerical example for the derivation of a discriminant function in order to provide insight into the processing steps and origin of the function coefficients. STUDY DESIGN: The example begins with the reduction of a set of raw data to the values needed to calculate the variance/covariance matrix. Next the inversion of the covariance matrix by pivotal condensation is carried through. This is followed by the calculation of the coefficients. All calculations are carried out on a simple hand calculator. RESULTS: While discriminant analysis is routinely and widely used in the analysis of karyometric data, the process of deriving the discriminant function and its coefficients has not been demonstrated in detail, by a numerical example, in over 50 years. CONCLUSION: It is clearly not practical to conduct, by hand, a discriminant analysis on data sets as commonly encountered in karyometry. However, the use of a computer algorithm without a full understanding of the processing steps has always been deeply unsatisfactory. This tutorial article should remedy that situation.

Karyometry: correction algorithm for differences in staining.

OBJECTIVE: To describe an algorithm that allows the correction of differences in staining of histopathologic sections while preserving chromatin texture. STUDY DESIGN: In order to preserve the texture of the nuclear chromatin in the corrected digital imagery, it is necessary to correct the images pixel for pixel. This is accomplished by mapping each pixel's value onto the cumulative frequency distribution of the data set to which the image belongs, to transfer to the cumulative frequency distribution of the data set serving as standard and to project the intersection down onto the pixel optical density scale for the corrected value. RESULTS: Feature values in the corrected imagery, for the majority of features used in karyometry, are between < 1% and a few percent of the feature values in standard imagery. For some higher-order statistical features involving multiple pixels, sensitivity to a shift in the cumulative frequency distribution may exist, and a secondary small correction by a factor may be required. CONCLUSION: The correction algorithm allows the elimination of the effects of small staining differences on karyometric analysis.

Knowledge discovery processing and data mining in karyometry.

OBJECTIVE: To present the rationale for applying different sequences of multivariate analysis algorithms to determine if and where, in the large and high-dimensional data space, events have led to change in karyometric features. STUDY DESIGN: Clinical materials and results from the analysis of 4 studies were used: the demonstration of chemopreventive efficacy of letrozole in a situation where only a small subset of cells is affected, the detection of a preneoplastic lesion in colorectal tissue, data processing to document clues that predict risk of recurrence of a bladder lesion and the use of metafeatures and second-order discriminant analysis in a study of efficacy of vitamin A in the chemoprevention of skin lesions. RESULTS: Evidence for chemopreventive efficacy was demonstrated in the first example only after processing identified the small subpopulation of affected nuclei in a study of breast epithelial cells. Detection of a preneoplastic development is linked to a progression curve connecting nuclei from normal tissue to nuclei from premalignant colorectal lesions. The prediction of risk of recurrence of papillary bladder lesions is possible by detecting changes in nuclei of a certain phenotype. Efficacy of vitamin A as a chemopreventive agent for skin cancer could be demonstrated with a dose-response curve after a second-order discriminant analysis was employed. CONCLUSION: In none of these instances would the information of biologic interest have been revealed by a straightforward, single algorithmic analysis.