Usefulness of diagnostic criteria for aspiration cytology of hepatocellular carcinoma.

OBJECTIVE: To establish new criteria for cytodiagnosis of hepatocellular carcinoma by comparing cytologic findings of hepatocellular carcinoma with those of liver cirrhosis. STUDY DESIGN: Review of cytologic findings of hepatocellular carcinoma on preoperative aspiration biopsy of 31 lesions from 27 patients who underwent surgical resection and comparison of these findings with those of liver cirrhosis in 17 patients. RESULTS: In the 11 lesions of moderately and poorly differentiated hepatocellular carcinoma, significant cytologic findings included monotonous and abundant cytoplasm, thick cytoplasm, increased nuclear/cytoplasmic ratio, irregular nuclear contours, increased chromatin density, intranuclear vacuoles and naked nuclei. In the 20 lesions demonstrating well-differentiated hepatocellular carcinoma, significant cytologic findings included monotonous and scant cytoplasm, well-defined cytoplasmic borders, thick cytoplasm, eccentric nuclei, increased nuclear/cytoplasmic ratio, thick nuclear membranes and increased chromatin density. We established the criteria for moderately and poorly differentiated hepatocellular carcinoma as including three cytologic parameters: increased nuclear/cytoplasmic ratio, irregular nuclear contours and increased chromatin density. We also established the criteria for well-differentiated hepatocellular carcinoma as including six cytologic parameters: monotonous cytoplasm, scant cytoplasm, well-defined cytoplasmic borders, thick cytoplasm, eccentric nuclei and increased nuclear/cytoplasmic ratio. For all 31 hepatocellular carcinoma lesions, including 27 lesions that were < or = 2 cm in diameter, both sensitivity and specificity were 100% by concurrently employing both criteria. CONCLUSION: The new criteria for cytodiagnosis we established were useful for differentiating hepatocellular carcinoma from liver cirrhosis. In particular, our criteria ensured appropriate diagnostic accuracy for well-differentiated hepatocellular carcinoma.     

Karyometric image analysis for intraepithelial and invasive cervical lesions

OBJECTIVE: To derive an objective, numeric measure for the progression of intraepithelial and invasive squamous cell cervical lesions. STUDY DESIGN: Thin-layer cervical cytology preparations from colposcopically confirmed normal cervix, low grade squamous intraepithelial lesions, high grade squamous intraepithelial lesions and carcinoma were identified from a cross-sectional study. Fifty-nine cases representing 4 diagnostic categories were selected, and 2,375 nuclei from epithelial cells representative of the diagnostic category were randomly selected for imaging and measurement from these cases. Additionally, 1,378 visually normal appearing intermediate cells from low and high grade squamous intraepithelial lesions, as well as from carcinoma cases, were identified for analysis. The nuclei were quantitatively characterized, and discriminant analyses were performed to derive a progression curve from normal cytology to carcinoma. RESULTS: The lesion signatures show a clear increase in nuclear abnormality with increasing progression. A progression curve was derived based on mean discriminant function scores for each diagnostic category and on the mean nuclear abnormality values for the nuclei in each category, as expressed by their deviation in feature values from normal reference nuclei. CONCLUSION: A numeric assessment of lesion progression for cervical precancerous and cancerous lesions based on karyometric measurements is possible and may provide an objective, precise characterization of each lesion as well as a basis for improved performance in automated cytology-based cervical cancer screening.     

Tissue architectural features for the grading of prostatic carcinoma

In research for the development of a computer-aided workstation for the objective grading of prostatic carcinoma, tissue architectural (histometric) features were analyzed in ten cases each of well-differentiated, moderately differentiated and poorly differentiated carcinoma (as subjectively graded by the consensus of a panel of experts). Sections were cut at 4 microns, stained by the Feulgen reaction and digitized by two different video-based photometric systems. Some images were interactively segmented, considering the histometric clues to be studied; others were automatically segmented by an expert system-guided technique. The latter procedure produced good results, with over 90% of the nuclei judged to be correctly segmented in 64% of the fields studied and over 80% in another 24% of the fields. While the number of nuclei per field provided some separation of well-differentiated from other lesions, the number of nuclei per gland distinguished between well-differentiated and moderately differentiated lesions. Simplicial decomposition of the images also provided a measure of the degree of differentiation, as did the "texture" of the nuclear placement, based on two run-length statistics. Combination of the run-length features distinguished the three categories of lesions with statistical significance. The results of this study provided insights into the problems (such as the effect of field boundaries) faced in the design of an computer-aided grading system. They also showed the value of expert system-guided scene segmentation and of such histometric features as the field cellularity and the number of nuclei per gland for the discrimination between lesions of different grades of differentiation.     

Progression curves for endometrial lesions

OBJECTIVE: To derive a numeric measure for the progression of endometrial lesions as a baseline study for an eventual assessment of chemopreventive intervention efficacy. STUDY DESIGN: Tissue sections from normal endometrium at the proliferative and secretory phase, simple hyperplasia, atypical hyperplasia from cases free of concomitant adenocarcinoma and adenocarcinoma of the endometrium were recorded at high spatial resolution. Six cases from each diagnostic category were chosen as "typical," and 60 epithelial nuclei were randomly selected for measurement for each case. Discriminant analyses were carried out to derive a direction of progressive change in feature space and to correct the progression curve for the presence of cells not expressing progressive change among the random sample of nuclei. RESULTS: A well-conditioned progression curve was derived based on the mean discriminant function scores for each diagnostic category and the mean nuclear abnormality of the nuclei in each category, as expressed by their deviation in feature values from normal reference nuclei. The lesion signatures showed a clear trend toward extension into the range of higher nuclear abnormalities with increasing progression. There was an indication that abnormal endometrial lesions may comprise cases with distinctly different degrees of nuclear abnormality. CONCLUSION: A numeric assessment of lesion progression for endometrial lesions, based on karyometric measurements, is possible. The data suggest that additional analysis may provide further characterizing information for individual lesions.     

Cytological aspects of uterine cervical adenocarcinoma, adenosquamous carcinoma and combined adenocarcinoma-squamous carcinoma: appraisal of diagnostic criteria for in situ versus invasive lesions

Cytological aspects of uterine cervical adenocarcinoma, adenosquamous carcinoma and combined adenocarcinoma-squamous carcinoma: appraisal of diagnostic criteria for in situ versus invasive lesions
This paper reports the cytological findings based on air-dried smears in a retrospective series of 143 cases of endocervical adenocarcinoma, combined adenocarcinoma-squamous carcinoma and adenosquamous carcinoma drawn from the files of the BC Cancer Registry. Cervical cytology smears were available before biopsy in 131 patients, but in 18 cases the cytology showed no abnormality. Malignant changes or high-grade atypia of glandular and/or squamous cells (defined as moderate or severe dyskaryosis) were detected in 103 cases. In 46 cases, only a high-grade squamous abnormality was detected. Low-grade glandular and/or squamous lesions were detected in nine cases and one showed atypical endometrial-type glands. The cervical smears of 64 cases were reviewed in detail to determine the important cytomorphological criteria of in situ and invasive adenocarcinoma in air-dried smears, the technique used for preparing PAP smears in British Columbia. Endocervical cells were absent in four cases. Numerous (>10) groups of glandular cells were present in 51 cases. Important clues to the diagnosis of adenocarcinoma included crowding of nuclei, stratification of nuclei, loss of polarity, syncytial balls and papillary groups of glandular cells, nuclear enlargement, nuclear pleomorphism, and the presence of free-lying atypical glandular cells. Nuclear hyperchromatism, chromatin pattern, nuclear borders, nuclear membranes, and numbers and morphology of nucleoli were not helpful criteria in our material. Criteria enabling reliable distinction between in situ and invasive adenocarcinoma and/or mixed adenocarcinoma-squamous carcinoma could not be established.     

Highly well differentiated hepatocellular carcinoma and benign hepatocellular lesions. Can they be distinguished on fine needle aspiration biopsy?

OBJECTIVE: To determine whether highly well differentiated hepatocellular carcinoma can be distinguished from benign hepatocellular lesions on fine needle aspiration biopsy (FNAB). STUDY DESIGN: Ninety-five FNABs from 88 patients with hepatic masses/diffuse conditions were reviewed according to new cytologic criteria established by Takenaka et al. They were classified into well-, moderately and poorly differentiated hepatocellular carcinomas (W-, M- and P-HCC) and benign aspirates and histologically verified. RESULTS: There were 21 W-HCC, 39 M-HCC, 10 P-HCC, 3 problematic and 22 benign aspirates. The most useful criteria for diagnosing highly W-HCC were architectural features on the smears/cell block sections, including hypercellularity; arborescent, cohesive clusters; broad trabeculae; transgressing and peripheral endothelium; and cytologic details of small, monotonous hepatocytes with nuclear crowding, decreased cytoplasm, increased nuclear/cytoplasmic ratio, atypical naked nuclei and tumor giant cells. Well-defined cytoplasmic borders, abundant thick and monotonous cytoplasm, eccentric nuclei, thick nuclear membranes, irregular nuclear contours, increased chromatin density, irregular chromatin distribution and macronucleoli were not always detectable in highly W-HCC. In fact, some of them were seen in dysplastic hepatocytes. Deficient reticulin patterns and diffuse sinusoidal CD34 reactivity were helpful. CONCLUSION: Experience, attention to architectural and cytologic details in smears/cell blocks and clinicopathologic correlation should reduce the number of indeterminate reports. However, there will always remain some cytohistologically challenging cases.     

Histometric features for the grading of prostatic carcinoma

Histometric features for the objective grading of prostatic adenocarcinoma in histologic specimens were analyzed in five cases each of well, moderately and poorly differentiated lesions. Tissue sections from the selected cases were stained by the Feulgen method and digitized by a video-based microphotometer. Twenty total fields were recorded for each grade: ten at high resolution (an image sampling of 0.5 micron per pixel) and ten at low resolution (0.8 micron per pixel), with two fields per case recorded at each resolution. The images were segmented by an automated expert system-guided scene segmentation procedure. The performance of that procedure was measured by comparing the automated counts of nuclei in the segmented fields to the visual counts made by a pathologist in the same fields. For well, moderately and poorly differentiated cases, respectively, the nuclear counts made by the expert system at high resolution were 2.7%, 4.2% and 4.7% higher than the visual counts (as estimated from a total of 6,628 nuclei), but 1.2%, 2.5% and 1.1% lower at low resolution (10,329 nuclei). High-resolution features and tissue textural features were computed for each case. The high-resolution features showed good separation between the three groups of cases. The tissue textural features showed consistent separation between well and moderately differentiated cases. The relaxation of the spatial resolution (to 0.8 micron/pixel spacing) did not affect the selection of features, but led to less separation between the data from different grades. In conclusion, the automated system performed satisfactorily in distinguishing sections of prostatic tumors of varying degrees of differentiation.     

Fine needle aspiration cytology of lactating adenoma of the breast. A comparative light microscopic and morphometric study

Six cases of lactating adenoma of the female breast diagnosed by fine needle aspiration (FNA) were reviewed. The FNA cytologic diagnostic features included a usually moderately cellular aspirate with an abundant foamy background material, intact epithelial lobules or acini and small groups and solitary epithelial cells that contained uniform nuclei, fine chromatin and prominent nucleoli. When present, the cytoplasm was finely vacuolated or wispy; many nuclei appeared stripped of their cytoplasm. These features were compared light microscopically with the cytopathologic features of six cases of invasive well-differentiated ductal adenocarcinoma, seven cases of invasive lobular carcinoma, one case of granulocytic sarcoma and one case of primary histiocytic lymphoma of the breast. In addition, cytomorphometric analysis demonstrated no statistically significant differences in the nuclear areas of lactating adenoma as compared with those of well-differentiated ductal carcinoma and lobular carcinoma.     

Potential of the learning vector quantizer in the cell classification of endometrial lesions in postmenopausal women

OBJECTIVE: To investigate the potential of artificial neural networks for cell identification in endometrial lesions from postmenopausal women. STUDY DESIGN: The study was performed on cytologic material obtained by the Gynoscann endometrial cell samplerfrom 12 cases of atrophic endometrium, 48 cases of hyperplasia without cytologic atypia (18 cases of simple hyperplasia and 30 cases of complex hyperplasia), 12 cases of hyperplasia with cytologic atypia (complex atypical hyperplasia) and 48 cases of adenocarcinoma (30 cases of well-differentiated, 12 cases of moderately differentiated and 6 cases of poorly differentiated carcinoma). From each case approximately 100 cells were examined using a custom image analysis system. A learning vector quantizer (LVQ) identified the collected data. RESULTS: Investigation of cells from Endometrial Alterations with LVQ proved that according to the nuclear characteristics, as expressed by morphometric and textural measures, the endometrial cells from postmenopausal women may be identified as belonging to one of thefollowing three groups: atrophy, hyperplasia without cytologic atypia (simple and complex hyperplasia) and malignant neoplastic lesions (atypical complex and adenocarcinoma). CONCLUSION: The role of nuclear morphologic features in the cytologic diagnosis of endometrial alterations was confirmed. The overlap in thefeature space observed indicates that cell characteristics do not form strictly separate clusters. Thatfact explains the difficulty that morphologists have with the reproducible identification of cells from endometrial lesions in postmenopausal women. Application of LVQ offers a good classification at the cell level and promises to be a powerful toolfor classification on the individual patient level andfor the clarification of the natural history of endometrial pathology.     

Nuclear chromatin characteristics of breast solid pattern ductal carcinoma in situ.

OBJECTIVE: To characterize nuclei from breast solid pattern ductal carcinoma in situ (DCIS) by their karyometric features and to search for the presence of statistically significantly different subsets of nuclei. STUDY DESIGN: One hundred nuclei from each of 6 normal, 13 solid DCIS, (9 low and intermediate grade and 4 high grade DCIS) histopathologic samples of breast tissue were digitally recorded. Karyometric features were computed and subjected to a nonsupervised learning algorithm (P-index) to identify significantly different subgroups. RESULTS: Nuclei in low grade lesions displayed a diploid/near diploid pattern, while the majority of intermediate grade lesions fell into a range beyond 5N. The high grade lesions showed substantial genomic instability and represented three statistically different subsets or phenotypes. CONCLUSION: There is a progression of nuclear abnormality from low grade to high grade DCIS. The nuclei from high grade DCIS form a heterogeneous set that represents three phenotypes. One of these phenotypes shows a nuclear chromatin pattern that more closely resembles poorly differentiated, infiltrating disease. The observation of such a phenotype may have prognostic implications.     

Differentiating benign nevi from malignant melanoma using DNA microdensitometry and karyometry and maturation: a zonal comparison,correlation and multivariate analysis

OBJECTIVE: To evaluate the diagnostic effectiveness of cytometric features of DNA microdensitometry, karyometry (nuclear morphometry) and maturation and their combinations in separating benign nevi from malignant melanomas. STUDY DESIGN: Tumor cells were measured from each of the superficial, middle and deep zones of 81 melanocytic lesions using video image analysis for nuclear DNA content, chromatin compactness, and nuclear size and shape variables. There were 27 banal compound melanocytic nevi, 20 dysplastic compound nevi, 10 Spitz nevi and 24 malignant melanomas (MM). Maturation of cells with depth into the dermis was also studied by comparing cells from superficial to deep zones. RESULTS: MM showed distinct characteristics of DNA microdensitometry, karyometry and maturation as compared to all groups of benign nevi. There were overall close correlations between nuclear DNA content variables and nuclear size parameters in the total group of 81 lesions. However, there were fewer significant correlations between the various indices in the group of melanomas alone. Using multivariate discriminant analysis, up to 97% of the lesions could be correctly separated as benign or malignant by a combination of five key microdensitometric, karyometric and maturation parameters. CONCLUSION: DNA microdensitometry, karyometry and maturation parameters have independent abilities in identifying individual malignant melanomas. Coevaluation of various cytometric features and maturation profiles offers better diagnostic ability in separating benign nevi from MM.     

Detection of endometrial cancer by flow cytometry using two monoclonal antibodies.

BACKGROUND: To develop a supplementary diagnostic method for endometrial cancer by measuring the reactivity of various endometrial lesions with two monoclonal antibodies. METHODS: We investigated the reactivity of various endometrial lesions with two monoclonal antibodies (MSN-1 and MSN-3) by flow cytometry (one-color and two-color methods). RESULTS: The two-color method appeared to be suitable for use in place of simultaneous performance of the one-color methods with MSN-1 and MSN-3. The positivity rate for normal endometrium was 16.0% with the two-color method, which was lower than the rate of 30.0% obtained with concomitant used of the one-color methods. The positivity rate for endometrial cancer was high, 84.0%, with the two-color method. The positivity rate was 85.7% for well-differentiated endometrial cancer, 71.4% for moderately differentiated cancer, and 100.0% for poorly differentiated cancer; thus, the rate was high irrespective of the cellular differentiation. CONCLUSIONS: The two-color method is more useful than the one-color method as a supplementary diagnostic procedure for endometrial cancer.     

Further evaluation of the practical applicability of nuclear morphometry for the prediction of the outcome of atypical endometrial hyperplasia

A previously developed morphometric classification rule has been shown to be successful in identifying approximately 30% of patients with atypical hyperplasia of the endometrium in whom the finding does not imply a progression to malignancy. The reproducibility of the nuclear classification rule was tested in blind, duplicate morphometric assessments by different technicians. The results showed a satisfactorily high degree of consistency and reproducibility, with only one of ten cases classified differently. In a second series of experiments, the nuclear classification rule was applied to samples from 101 nonmalignant cases (39 proliferative endometriums, 7 secretory endometriums, 55 mildly atypical hyperplasias), 8 markedly atypical hyperplasias and 43 malignant cases (20 well-differentiated adenocarcinomas and 23 moderately to poorly differentiated adenocarcinomas of the endometrium). Ideally, the rule should classify all nonhyperplastic and mildly hyperplastic cases as nonprogressive and all carcinomas as progressive; there were, however, a considerable number of false positives and false negatives based on application of the classification rule to these cases. Therefore, the sensitivity and specificity of nuclear morphometry using the classification rule developed for atypical hyperplasias is too low to allow its random application. This emphasizes the selective nature of diagnostic morphometry, in which the full diagnostic capacity of the pathologist must be used in selection of the proper cases to be studied.     

Karyometric features of low and high grade glial tumors as compared with their MRI appearance

OBJECTIVE: To compare the results of a magnetic resonance imaging (MRI) grading designed to identify low and high grade gliomas with karyometry used as a tool to grade primary brain tumors. STUDY DESIGN: A consecutive series of 23 primary brain tumors was selected for this study. The neuroradiologist, not knowing the histologic diagnoses, divided the cases into low and high grade categories on the basis of the following 7 features: border sharpness, heterogeneity without contrast, cavitation, contrast enhancement, hypervascularity, mass effect and perifocal T2 hyperintensity. To each feature was given a numerical value, ranging from 1 to 3. All the cases were reviewed and classified by the same pathologist, blinded to the MRI diagnosis. Two hundred nuclei per case were recorded, and 93 karyometric features related to nuclear area, total optical density and chromatin distribution were analyzed for each nucleus. Statistical analysis included discriminant analysis, Kruskal-Wallis test, nonsupervised learning algorithm P-index and Beale statistic. RESULTS: Ten cases were classified as low grade on the basis of their MRI features. The corresponding histopathologic diagnoses were: grade 2 astrocytoma in 2 cases and grade 2 oligodendroglioma in 8 cases. An MRI diagnosis of high grade tumor was made in 13 cases. In 10 cases it was confirmed by the histopathologic diagnosis (3 grade 3 astrocytomas, 1 grade 3 oligodendroglioma and 6 glioblastomas). In the remaining 3 cases the histologic examination revealed a low grade tumor, 1 grade 2 astrocytoma and 2 grade 2 oligodendrogliomas. For the purposes of the karyometric analysis the cases were allocated to the low or high grade category according to their histologic diagnosis (13 cases low grade and 10 cases high grade). Nuclei from low and high grade tumors showed clearly different karyometric characteristics. The oligodendroglioma nuclei had abnormality values close to the low grade standard, while the astrocytoma nuclei were a highly dispersed group with characteristics indicative of a higher degree of nuclear abnormality than the oligodendroglioma nuclei. The results of karyometric analysis showed that grade 2 tumors, corresponding to the low grade group, form a rather distinct category from grade 3 and 4 tumors belonging to the high grade group. CONCLUSION: The results of MRI grading based on a series of features that are routinely assessed by the neuroradiologist to reach a final diagnosis correlate highly with the histopathologic diagnosis. Karyometry can be a useful adjunct to histologic grading.     

Cytophotomeric DNA-analysis of aspirated cells from prostatic carcinoma.

In the present study material obtained from prostatic lesions by transrectal aspiration biopsy was subjected to a comparative morphologic and cytophotometric DNA analysis. Based on the morphologic pattern, the clinical material was divided into benign lesions (prostatic hyperplasia), suspected prostatic malignancy and highly, moderately and poorly differentiated prostatic carcinoma. The cytochemical analysis, based on quantitative cytophotometric measurements of Feulgen stained nuclei, showed that cell nuclei from benign lesions (prostatic hyperplasia) exhibited the normal diploid amount of DNA. Contrary to this, cell populations from prostatic malignancies, were characterized by various degrees of heteroploidy, i.e. the existence of cells with nuclear DNA quantities increased above the normal diploid level. A general correlation between degree of heteroploidy (frequency of heteroploid cells) and degree of clinical malignancy seemed to exist; high grade malignant prostatic carcinoma (poorly differentiated) exhibited a pronounced degree of heteroploidy with more or less distinct aneuploid stemlines, whereas low-grade prostatic carcinomas (highly differentiated) were more similar to benign cell populations, in showing a large proportion of cells with a diploid DNA quantity suggesting the existence of diploid or near diploid stemlines. Cases morphologically classified as moderately differentiated prostatic carcinoma, which previously have been shown to exhibit individual variations in degree of clinical malignancy, also showed large individual variations in degree of hetyroploidy. Approximately half of these cases had cytochemical DNA characteristics similar to that of highly differentiated prostatic carcinoma in showing a modal DNA value in the diploid region, while the other half showed cytochemical characteristics similar to that of poorly differentiated prostatic carcinoma, i.e. aneuploid DNA distributions. However, no morphologiifferentiated prostatic carcinoma. In conclusion it can be stated that the present investigation suggests the possibility that quantitative cytochemical DNA analysis may be used in combination with, and offer additional information to, morphologic analysis in the malignancy grading of prostatic carcinoma. A future clinical follow-up, now in progress, will hopefully give a more definite answer to that idea.     

Fine needle aspiration diagnosis of hyperplastic and neoplastic follicular nodules of the thyroid. A morphometric study.

The differentiation of hyperplastic nodules, follicular adenomas and follicular carcinomas from fine needle aspiration (FNA) cytology smears may be difficult. To better define the diagnostic criteria, we studied the morphometric parameters of nuclear area (NA), nuclear:cytoplasmic ratio and nuclear roundness (NR) in single cells and cell aggregates. In addition, we quantitated the percentage of touching or overlapping nuclei (NO) and the percentage of extent of nuclear area of overlap (NAO) in cellular aggregates. We measured cellular samples from FNA aspirates obtained from 20 hyperplastic nodules, 21 follicular adenomas, 5 encapsulated follicular carcinomas and 22 invasive follicular carcinomas, all of which were subsequently confirmed by histologic examination. Cellular aggregates provided the maximum diagnostic information. Stepwise discriminant analysis revealed that nuclear size, nuclear roundness and the percentage NAO allow optimum differentiation of hyperplasia, adenomas and carcinomas. Clearly, all of the poorly differentiated carcinomas (large NA, low NR, high NO and NAO) could be reliably diagnosed. Discriminant analysis allowed the differentiation of carcinoma from adenoma in 20/22 carcinomas (91%) and all 21 adenomas (although 2 adenomas were called hyperplasias and 3 hyperplasias were called adenomas).     

Tissue microarray-determined expression profiles of cyclooxygenase-2 in colorectal adenocarcinoma: association with clinicopathological parameters

Accumulated evidence reveals that increased cyclooxygenase-2 (COX-2) is involved in the development of colorectal cancer. Our purpose was to quantitate COX-2 expression in colorectal cancers using tissue microarray analysis and look for an association with clinicopathological stage. Immunohistochemical analysis of COX-2 was performed in tissue microarray slides containing 90 specimens including 32 well-differentiated, 35 moderately differentiated, and 23 poorly differentiated colorectal adenocarcinomas. All colorectal adenocarcinomas showed significant immunohistochemical expression of COX-2 when compared to normal colon epithelia. However, there was no significant difference in immunostaining scores between poorly, moderately, and well-differentiated tumors (195 +/- 28, 214 +/- 26 and 200 +/- 24, respectively). The COX-2 immunostaining score correlated significantly with T stage (P < 0.05) but not with N or M stage. The positive expression rates of CK20 were 97% for well-differentiated, 94% for moderately differentiated, and 65% for poorly differentiated colorectal adenocarcinomas, suggesting that CK20 may not be an effective discriminator between poorly differentiated colorectal adenocarcinoma and metastatic adenocarcinoma.