Morphometric analysis of fine needle aspirates from breast lesions

In an attempt to discover the morphometric variables with the most diagnostic power in the differentiation of benign from malignant breast disease, 20 unequivocally benign and 20 unequivocally malignant and histologically confirmed breast aspirates were examined on an image analyser. It was found that standard deviation of nuclear area was the most discriminant variable. Then 23 aspirates initially diagnosed as 'suspicious of malignancy' were measured by the same technique, and standard deviation of nuclear area correctly differentiated all but three cases.     

High-resolution and contextual analysis for the diagnosis of fine needle aspirates of breast.

A study was undertaken to confirm earlier work on a smaller number of patients that had suggested that medium-resolution contextual analysis complements high-resolution individual cell analysis for cytomorphometric classification of fine needle aspirate smears of breast. The objectives of this study were to improve and verify the method. Sixty-one biopsy-confirmed hematoxylin and eosin-stained aspirate smears of breast were restained using the Feulgen technique. Individual nuclei were digitized at a resolution of 0.25 micron. Features describing size, shape, density and texture were extracted from the images. Individual cell analysis correctly classified 84% of cases, contextual analysis correctly classified 70% of cases, and the combined use of both techniques resulted in 87% classification accuracy. However, if fibroadenoma cases are excluded, the combined correct classification rate is 93%. Geometric and densitometric features contributed most to correct classification in individual cell analysis, while the most important contextual feature was the number of clusters per scene. We conclude that the addition of quantitative measures of smear patterns, termed "contextual analysis," improves automated classification schemes.     

Chondroblastoma in fine needle aspirates.

The cytologic features of smears of fine needle aspirates from four chondroblastomas were studied. In an ideal fine needle aspiration biopsy sample of chondroblastoma, all the diagnostic details can be found: chondroid matrix surrounding individual round to oval mononuclear cells, calcifications among cells and multinucleate osteoclasts. Chondroid matrix, which we believe to be the decisive feature, and calcifications are seen better in Giemsa-than in Papanicolaou-stained smears.     

Diagnostic schemes for fine needle aspirates of breast masses

A comparison was made of four statistically based schemes for classifying epithelial cells from 243 fine needle aspirates of breast masses as benign or malignant. Two schemes were computer-generated decision trees and two were user generated. Eleven cytologic characteristics described in the literature as being useful in distinguishing benign from malignant breast aspirates were assessed on a scale of 1 to 10, with 1 being closest to that described as benign and 10 to that described as malignant. The original computer-generated dichotomous decision tree gave 6 false negatives and 12 false positives on the data set; another tree generated from the current data improved performance slightly, with 5 false negatives and 10 false positives. Maximum diagnostic overlap occurred at the cut-point of the original dichotomous tree. The insertion of a third node evaluating additional parameters resulted in one false negative and seven false positives. This performance was matched by summing the scores of the eight characteristics that individually were most effective in separating benign from malignant. We conclude that, while statistically designed, computer-generated dichotomous decision trees identify a starting sequence for applying cytologic characteristics to distinguish between benign and malignant breast aspirates, modifications based on human expert knowledge may result in schemes that improve diagnostic performance.     

Ringlike structures in fine needle aspirates from the breast

Spherical ringlike structures of various sizes resembling Liesegang rings (LRs) are described in four fine needle aspirates (FNAs) from breast lesions over a period of 13 years. A characteristic finding in these structures was a distinct double layer outer wall with striations and an amorphous central nidus. Under polarized light they were non-refractile and no birefringence was noted in Congo red. Immunohistochemical stains for calcium, iron, mucus, glycogen, amyloid, cytokeratin and epithelial membrane antigen in all the cases were found to be negative. Since LRs can be mistaken for ova or parasites, their presence in aspirates of breast should be kept in mind to avoid misdiagnosis.     

Comparison of fine needle aspirates of breast cancers to imprint smears by means of digital cell image analysis

Morphonuclear assessments were performed using the SAMBA 2005 cell image processor on cell nuclei in fine needle aspirates and corresponding imprint smears from 17 not-otherwise-specified (NOS) breast carcinomas to study the influence of cell sampling on the morphonuclear measurements. Fourteen parameters related to densitometric (nuclear DNA content), morphometric (nuclear area) and textural (chromatin organization and distribution) characteristics were computed for each nucleus. The results demonstrated that such morphonuclear features evolved significantly and positively with respect to conventional histopathologic grading. The method of cell sampling significantly influenced the results, but without altering the general conclusions regarding evolution of the morphonuclear features.     

Contextual analysis complements single-cell analysis in the diagnosis of breast cancer in fine needle aspirates

Image analysis techniques were used to characterize individual nuclei of cells and entire clusters of cells in hematoxylin-and-eosin-stained smears of fine needle aspirates of the breast to determine the ability of these techniques to distinguish benign from malignant cases. Analysis of the individual nuclear features showed significant differences in nuclear area, shape (bending energy), texture and integrated darkness between benign and malignant samples. Analysis of the clusters demonstrated that the benign clusters were fewer in number, more cellular (average gray level) and larger than malignant clusters. A statistical classifier was constructed to test the discriminatory accuracy for benign and malignant cases. Good discrimination was found for both the individual nuclei and the clusters when analyzed separately, although a few cases were misclassified by each type of analysis. When combined, the two classifiers achieved a completely accurate classification. This suggests the complementary nature of high-resolution single-cell analysis and the more global cluster analysis techniques.     

Scanning electron microscopic analysis of breast aspirates

Scanning electron microscopic analysis (SEM) of 50 pre-selected breast aspirates was performed after light microscopy and cytomorphological evaluation. SEM analysis of these aspirates revealed the presence of microvilli (mv), microprojections, blebs and irregular contours in malignant cells. Benign cells were regular, globular and smooth. SEM provided additional morphologic data which if used in conjunction with light microscopy can assist in reaching a correct diagnosis.     

Computerized morphometric study on fine needle aspirates of cellular follicular lesions of the thyroid

OBJECTIVE: To investigate the value of computerized nuclear morphometry in the differential diagnosis of cellular follicular lesions of the thyroid cytologically diagnosed on fine needle aspiration (FNA) smears. STUDY DESIGN: Sixty cases of FNA thyroid smears were cytologically diagnosed and classified as follows: 30 cases of follicular carcinoma, 20 cases of cellular hyperplastic nodules and 10 cases of follicular adenoma. Using an image analysis system, two morphometric variables, nuclear area and major axis length of the nucleus, were measured for each case. RESULTS: For both nuclear morphometric variables, statistical differences were found between carcinomas and hyperplastic nodules as well as between carcinomas and adenomas. No statistical differences were found between the nuclear variables in either hyperplastic nodules or adenomas. CONCLUSION: The results confirm the aim of our study, to establish nuclear morphometry by computerized image analysis as an additional tool in the differential diagnosis of thyroid follicular lesions cytologically diagnosed on FNA smears.     

Estrogen receptor determination in fine needle aspirates of the breast. Correlation with histologic grade and comparison with biochemical analysis

Material obtained by fine needle aspiration (FNA) of 25 surgically removed breast carcinomas was tested for the immunocytochemical localization of estrogen receptor (ER) using the peroxidase-antiperoxidase method and a monoclonal antibody developed against human breast cancer ER. The results were compared to those obtained by the conventional biochemical analysis of cytosol protein. A semiquantitative relationship between the immunoperoxidase stain and the biochemical analysis suggests that cases in which greater than 70% of the cells stain and in which intense staining is present are likely to contain ER in a concentration of greater than 250 fmol/mg of cytosol. Less than 15% stained cells and an absence of intense staining is indicative of a concentration of less than 10 fmol/mg. In only one case was there a significant difference in positivity between the two methods, possibly as a result of a functional heterogeneity of the tumor cell population. Intense staining is strongly suggestive of a tumor of low histologic grade and was never seen in tumors with a high histologic grade or nuclear grade. The immunoperoxidase method of ER detection on material obtained by FNA is a semiquantitative means of selecting patients with breast cancer who are likely to respond to hormonal therapy. The method overcomes many important disadvantages of cytosol analysis and provides clinically significant information regarding the ER content and the degree of tumor differentiation.     

Immunocytochemistry of fine needle aspirates. A tactical approach

To maximize the potential of immunocytodiagnosis for fine needle aspiration (FNA) samples, it is necessary to be aware of the pitfalls and limitations of these techniques and to formulate a strategy to deal with the many variables involved. Five cases are presented to illustrate some of these variables, which include determining the adequacy of the FNA specimen, selecting tactics for cytologic and immunocytochemical studies, selecting methods for processing the FNA sample, preparing smears to enrich and preserve cells of interest, selecting enzyme labeling methods to optimize sensitivity and specificity, selecting monoclonal antibodies to make the study efficient and pertinent and interpreting the study results. The adequacy of the FNA specimen could be determined by an immediate cytologic assessment of the aspirate as it was obtained. Alcohol-fixed smears and formalin-fixed tissue sections prepared from the aspirate were used for diagnosis; the immunocytochemical studies were used as a diagnostic adjunct for accurate cell identification. Immunocytochemical studies were done on air-dried cytocentrifuge smears of pre-washed cells. While both immunoperoxidase and immunoalkaline phosphatase methods were suitable, we recommend the immunoperoxidase method for the study of aspirates from nonhemopoietic tissues and the immunoalkaline phosphatase method for the study of aspirates with many blood cells present. The proper selection of monoclonal antibodies and the interpretation of the results are best made in the context of the cytologic characteristics of the FNA sample and the clinical features of the patient.     

Dependence of DNA-histograms on the sampling techniques in fine needle aspirates of the breast.

48 fine needle aspiration biopsy (FNAB) samples from 25 breast cancer cases, originally used for cytodiagnosis were subjected to DNA cytometry. There were air dried smears stained with the MGG method, and samples stained with HE or PAP stain after 50% ethanol fixation and cytocentrifugation. Different sampling strategies were applied. Four methods were tested: method 1: cell groups measured, method 2: all cells measured, method 3: free cells measured, and method 4: atypical free cells measured. Method 4 showed most often DNA aneuploid histogram patterns, sampling method 1 had the highest number of DNA diploid histogram patterns. Diagnostic approaches may benefit from a sampling method detecting the hiding aneuploid cell population. Grading of neoplasm could potentially benefit from other approaches.     

Telomerase activity in thyroid fine needle aspirates

OBJECTIVE: To study the utility of telomerase activity (TA) detection in thyroid fine needle aspirates (FNAs). STUDY DESIGN: One hundred two thyroid nodules were studied: 70 in FNA samples and 32 in frozen tumors. From among FNA samples, there were 57 nodules of the goiter, 1 adenoma, 7 papillary carcinomas, 1 medullary carcinoma and 1 lymphoma. Three cases of thyroiditis were excluded. The 32 frozen tissue tumors consisted of 5 follicular adenomas, 4 follicular carcinomas and 23 papillary carcinomas. TA was analyzed by Telomerase PCR ELISA (Roche Diagnostics, Indianapolis, Indiana, U.S.A.). RESULTS: TA was negative in the 57 nonneoplastic nodules and 6 follicular adenomas and positive in 3 of 4 follicular carcinomas and 10 of 30 papillary carcinomas. TA sensitivity was 41.4% and specificity 100%. Sensitivity for malignancy was higher (85.7%) in FNAs than in TA. CONCLUSION: TA seems highly specific for neoplasms of the thyroid. Further studies are needed to confirm whether TA detection could contribute to identifying neoplasms when FNAs are inconclusive for malignancy and in cases of scanty material.     

Fine needle aspiration of breast masses. An analysis of 276 aspirates

A study of 276 consecutive fine needle aspirations (FNAs) of the breast in 240 cases is presented. Of these cases, 108 underwent subsequent biopsy of the breast; correlations between the FNA cytology and the surgical pathology findings revealed that FNA had a sensitivity of 79.4%, a specificity of 100% and a predictive value of a positive diagnosis of 100%. The overall diagnostic accuracy was 92.4%. These results are compared with those in other published series, and the pitfalls in and methods of improvement of breast FNA are discussed.     

Immunocytochemical analysis and cytomorphologic diagnosis on fine needle aspirates of lymphoproliferative disease

Fine needle aspirates were used for the cytologic and immunologic analysis of 21 cases of lymphoproliferative disorders. Immunocytochemical studies performed on Cytospin preparations confirmed the cytomorphologic diagnosis in 19 cases. In one case, the morphology of both aspirates and surgically obtained material showed a reactive pattern while immunologic analyses were inconclusive on both types of material. Immunocytochemistry on tumor material obtained by fine needle aspirations was in agreement with immunohistochemistry on surgical biopsies in 15 of 16 patients with malignant lymphomas. We conclude that immunocytochemical studies performed on Cytospin material in conjunction with the cytologic diagnosis will lead to an increase in diagnostic accuracy as well as providing a means for subclassification of neoplastic lymphoid cells. Moreover, this technique appears to give results comparable to those obtained by histopathologic and immunohistochemical analysis on surgically removed lymph nodes.