Morphometric studies on nuclei in smears of fine needle aspirates from oxyphilic tumors of the thyroid

Morphometry was applied to smears of fine needle aspirates from 26 oxyphilic thyroid neoplasms. Thirteen tumors were considered benign as judged from histologic findings and clinical follow-up for 2 to 20 years after the operation. Thirteen tumors were considered malignant histologically; four of these had proven metastases. In each case the mean and standard deviation of the projected nuclear area were calculated from 200 nuclei in the smear. Our results indicate that morphometric estimation of mean nuclear size and/or degree of anisokaryosis is of no practical value in distinguishing between benign and malignant thyroid neoplasms of the oxyphilic type.     

Cytomorphometry as quality control for fine needle aspiration. A study in 321 breast lesions

Material collected by fine needle aspiration (FNA) in 321 histologically examined primary breast lesions of previously untreated patients was analyzed by morphometry. The mean nuclear area (MNA) and its standard deviation (SD) were calculated for 50 cells in each case. Four subclasses were defined on the basis of the MNA and SD: benign (less than 10% probability of malignancy), doubtful benign (10% to 49%), doubtful malignant (50% to 90%) and malignant (greater than 90% probability of malignancy). FNA samples showing signs of acute inflammation or only apocrine metaplastic cells were not suitable for analysis by this morphometric method and were excluded. In 274 (85.4%) of the cases, the measurements allowed a definite morphometric conclusion, with predictive values of 99.5% and 100% for the histologically malignant and benign aspirates, respectively. The probability of malignancy in the doubtful malignant group was almost 86%. The morphometric method described is quick, easy to perform and well suited for use in routine daily practice; furthermore, it does not require expensive equipment. The ease of the technique and its high predictive value make this method appropriate for use as a quality control procedure in FNA cytology.     

Nuclear image morphometry and cytologic grade of breast carcinoma

OBJECTIVE: To correlate visual cytologic grade with automated nuclear morphometry of carcinoma of the breast. STUDY DESIGN: We randomly selected 24 histologically proven infiltrating ductal carcinomas of the breast and 10 benign breast lesions (fibroadenoma). Hematoxylin-eosin-stained fine needle aspiration cytology (FNAC) smears were selected for both cytologic grade and automated image morphometry. The same hematoxylin-eosin-stained FNAC smears were studied for area, convex area, standard deviation of nuclear area, diameter, perimeter and convex perimeters of nucleus. At least 100 cells from each case were measured with an image cytometer. RESULTS: Mean nuclear area, standard deviation of nuclear area, nuclear diameter, convex area, convex perimeter and perimeter were significantly increased from benign versus grade 1 carcinomas and grade 1 versus grade 2 and 3 carcinomas (one way ANOVA test). However, there was no significant difference in grade 2 versus grade 3 carcinomas. CONCLUSION: Automated image cytometry rapidly and successfully measures various nuclear parameters. The measurement of various nuclear parameters would be helpful in future applications of automated diagnosis and grading of breast carcinomas from cytologic material.     

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.     

Diagnostic associations of p53 immunostaining in fine needle aspiration cytology of the breast

Duplicate cytospin preparations were made from 46 symptomatic breast fine needle aspirates. One of each pair was assigned to benign or malignant categories by one experienced observer as part of the 'triple approach'patient assessment. the other was immunostained with DO7, a monoclonal antibody to recombinant p53 protein, and rated by another observer as positive or negative for nuclear staining, unaware of the cytodiagnosis. Positive controls included carcinomas known to have mutant p53, while negative controls were of the reagent substitution type. of the 26 aspirates with a benign cytodiagnosis (verified by the triple approach), 23 were p53 protein-negative and three positive. of the 20 with a malignant cytodiagnosis (histologically confirmed), six were p53 protein-negative and 14 positive (exact P <0.0001). As a diagnostic test this would give 70% sensitivity and 88% specificity.     

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.     

Computerized microscopic analysis of prostatic fine needle aspirates. Comparison with breast aspirates

Computerized image analysis was employed to analyze fine needle aspiration smears of the prostate and breast using both high-resolution images of individual cells and medium-resolution images of scenes and clusters (contextual analysis). A linear discriminant analysis was used to demonstrate the computer's ability to discriminate between benign and malignant categories for both types of tissue. Correct classification as benign or malignant using contextual analysis was achieved in 22 of 26 prostatic aspirates and in 15 of 18 breast aspirates, as determined by comparison with histology. The addition of high-resolution single-cell analysis resulted in correct classification of 24 of 26 prostatic aspirates and all breast aspirates. For virtually all features, the distinction between benign and malignant was more subtle for prostatic than for breast tissue. The data indicate that contextual analysis may be less effective as an adjunct to high-resolution single-cell microscopy of prostatic specimens than it is for breast specimens.     

Image analysis of low magnification images of fine needle aspirates of the breast produces useful discrimination between benign and malignant cases

Image analysis of low magnification images of fine needle aspirates of the breast produces useful discrimination between benign and malignant cases
Fine needle aspirates of the breast (FNAB) ( n =362; 204 malignant, 158 benign), prepared by cytocentrifuge methods and stained by the Papanicolaou technique, were analysed using a semi‐automated image analysis system at a low magnification which precluded resolution of nuclear detail. The measured parameters were integrated optical density, fractal textural dimension, number of cellular objects (single cells and contiguous groups of cells), distance between cellular objects (mean, s.d., skewness and kurtosis), area of cellular objects (mean, s.d., skewness, kurtosis) and the nearest neighbour statistic. The cases were divided into a 200‐case training set and a 162‐case test set. Analysis was performed by logistic regression and the multi‐layer Perceptron type of artificial neural network. Logistic regression and the neural network produced similar performances with a sensitivity of 82–83%, specificity 85% and a positive predictive value for a malignant result of 85%. A non‐parametric analysis of all the predictor variables showed that all except the mean area of cellular objects and the s.d. of this measurement were significant discriminants ( P <0.05), but most were highly interrelated and this was reflected in the selection of only three predictor variables by forward and backward conditional logistic regression. This study shows that much diagnostic information is present in low power views of FNAB, and that image analysis could form the basis of a semi‐automated decision‐support aid.     

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.     

Statistical approach to fine needle aspiration diagnosis of breast masses

A statistical algorithm was used for recursively partitioning a consecutive series of 37 benign and 69 malignant fine needle aspirates to produce a decision tree for diagnosing breast masses. Optimal separation between benign and malignant cytology was accomplished by evaluating clump characteristics when clumps were present and evaluating cell integrity when clumps were absent. The 1.5% false-negative and 9.7% false-positive rates obtained through this scheme are better than those reported for most series.     

乳腺良恶性病变剪切波弹性成像的典型表现及其鉴别诊断价值

目的:观察乳腺良恶性病变的剪切波弹性成像(SWE)的典型表现,探讨SWE对乳腺良恶性病变的鉴别诊断价值。方法:选取2017年6月～2019年6月我院收治的162例行SWE检查的乳腺肿块患者,经组织活检或病理证实良性肿块105例(良性组)、恶性肿块57例(恶性组)。对比良、恶性组SWE的典型表现、SWE参数[最大值(Emax)、最小值(Emin)、平均值(Emean)、标准差(SD)、病灶与邻近脂肪弹性比值(SWE-Ratio)]的差异,分析SWE鉴别诊断乳腺良恶性病变的价值。结果:恶性组乳腺肿块"硬边征"检出率、Ⅲ型～Ⅴ型弹性图像检出率、Emax、Emean、SD、SWE-Ratio均高于良性组(P0.05),Emin低于良性组(P0.05)。Logistic多元回归分析结果显示,"硬边征"、Emax、Emean、SWE-Ratio与病理诊断乳腺肿块性质独立相关(P0.05)。受试者工作特征(ROC)曲线分析结果显示,"硬边征"、Emax、Emean、SWE-Ratio鉴别诊断乳腺良恶性病变的曲线下面积(AUC)分别为0.923、0.686、0.873、0.879。结论:SWE是诊断乳腺良恶性病变的有效影像手段,SWE的"硬边征"、SWE-Ratio、Emean对乳腺良恶性病变具有较高的鉴别价值。     

Telecytologic diagnosis of breast fine needle aspiration biopsies. Intraobserver concordance

OBJECTIVE: To determine the intraobserver concordance between telecytologic and glass slide diagnosis of breast fine needle aspirates. STUDY DESIGN: Twenty-five cases, originally received in consultation, were each examined by three cytopathologists. An average of seven compressed digital images per case were presented, together with a brief clinical history, using the http protocol and an internet browser. RESULTS: Agreement between the telecytologic and glass slide diagnosis ranged from 80% to 96%. Nevertheless, two cases that had been unequivocally diagnosed as malignant based upon video images were considered to be benign by the same pathologist when reviewing the glass slides. Both diagnostic confidence and self-concordance were higher for one pathologist having significant previous video microscopy experience. CONCLUSION: Although intraobserver concordance between telecytologic and glass slide diagnoses of breast fine needle aspirates is high, refinement of existing criteria for diagnosis of malignancy, taking account of the particular limitations associated with telecytologic diagnosis, may be prudent prior to widespread use of telecytology for fine needle aspiration evaluation.     

Ploidy and nuclear area as a predictive factor of histologic grade in primary breast cancer

OBJECTIVE: To compare ploidy and nuclear area with histologic grade in breast cancer using cytologic samples. STUDY DESIGN: Fine needle aspirates from 85 patients with primary breast cancer were analyzed to identify ploidy and nuclear area. The Feulgen technique was used to stain the material. We used the SAMBA 4000 image analysis system (Grenoble, France) for analyzing ploidy and nuclear area. Each patient underwent a biopsy, and the histologic grade was analyzed. RESULTS: A significant association was found between ploidy and nuclear area, between histologic grade and nuclear area, and between ploidy and histologic grade. As ploidy became aneuploid and polyploid and nuclear area became larger, histologic grade became higher. CONCLUSION: A reliable and rapid evaluation of variables for breast cancer can be achieved using cytologic preparations by measuring ploidy and nuclear area of malignant cells with an image analysis system. Ploidy and nuclear area have a significant association with histologic grade.     

Silver-binding nucleoli and nucleolar organizer regions in fine needle aspiration cytology of the breast

Silver staining was used to demonstrate nucleoli and nucleolar organizer regions (NORs) in cytopreparations from breast fine needle aspiration (FNA) biopsies, with the resulting black dots being a combination of silver-binding nucleoli and dispersed NORs. Discrete black dots in 200 nuclei were manually counted in 25 silver-stained biopsies; the cytologic diagnoses were made on routine Papanicolaou-stained cytopreparations from the same aspirates. Although malignant breast lesions showed higher counts than did benign breast disease, an overlap of one malignant and three benign lesions occurred. Therefore, the method cannot be recommended for reliably discriminating between malignant and benign routine breast specimens obtained by FNA; it may have some value in assessing tumor behavior.     

Novel, contrast gradient-oriented, automated chromatin texture analysis. I. Feasibility study on nuclei from benign and malignant breast epithelial cell lines in fine needle aspirates.

Coarse granularity of nuclear chromatin texture is a prominent feature of most malignant cell lines. We have chosen the abrupt transition from eu- to heterochromatic foci (high contrast gradient [CG]) as a novel parameter for coarseness. This feature was quantified using automated image analysis of single nuclei in smears stained by the May-Grünwald-Giemsa technique. The principle of this approach consists of eliminating, with the help of subtraction between two image lowpass filters, the small grey level differences among pixels, so that only high CG values are retained on the digitized image. The sum of these distinctive microareas is then taken as a fraction of the area of the peripherally eroded nucleus, and this ratio is designated as contrast gradient index (CGI) per nucleus. This method was tested on fine needle aspirates from 11 patients with benign breast disease (BBD) and 14 with mammary carcinoma (CA). For each specimen, 60 nuclei were analyzed, with a measuring time per nucleus of about 1 min. A high significant distinction between epithelial cell populations in BBD and CA, respectively, was obtained by variance analysis of all CGIs per nucleus (p = 2 x 10(-18). The median and the mean values of CGI per specimen were the next best discriminators, followed by the modes and the standard deviation of CGI per specimen. The percentage of nuclei per specimen with CGI values of greater than 12 was also significantly greater in CA than in BBD.     

Aspiration cytology of breast cysts

A cytologic evaluation was made of 57 samples of fluid aspirated from cystic breast masses during the past 12 years in our hospital. The cytologic diagnosis of the cyst aspirates from 17 cancer cases was positive in 10 cases, suspicious in 2 and negative in 5. No false-positive cytologic diagnosis was made in 40 cases of benign cystic disease. Blood-tinged aspirates were observed in 14 of the 17 cases of malignant cystic disease but in only 2 of 40 benign cases. Ductal cell clusters were detected in aspiration smears from 16 of the cases of malignant cystic disease and 15 of the cases of benign cystic disease. Apocrine cells were seen in the aspiration smears from 12 of the cases of benign cystic disease but in none of the aspirates from the 17 cancer cases.     

Carcinoembryonic antigen content in fine needle aspirates of the lung. A diagnostic adjunct to cytology.

Carcinoembryonic Antigen (CEA) was measured in 59 consecutive fine needle aspirates (FNAs) of the lung from 58 patients to determine if the CEA content would enhance the sensitivity of the cytologic diagnosis. Twenty-eight males and 30 females with tumors 1-40 cm in diameter were studied. Final diagnoses were correlated with the clinical history, radiologic studies, tissue (when available) and follow-up. Image-guided FNAs were performed by radiologists using a 22-gauge Chiba needle and 20-mL syringe with one to four passes per specimen. Cytologic examination included rapid assessment in the radiology suite and a final diagnosis in 24 hours. CEA was measured by enzyme immunoassay using monoclonal antibody. Nine benign aspirates and 50 malignant aspirates were diagnosed. The sensitivity of cytology was 86% and specificity, 100%. Using 5 ng/mL as the cutoff, the sensitivity of CEA for malignant aspirates was 50% and specificity, 90%. The combined sensitivity of CEA and cytology was 95%. The mean CEA in malignant aspirates was 131 ng/mL and in benign aspirates, 2.41. The highest mean CEA was seen in adenocarcinoma, 402.6 ng/mL. Lower CEA content was seen in epidermoid carcinoma (58.6 ng/mL), large cell carcinoma (8.09), oat cell carcinoma, metastatic carcinoma of the kidney and breast, thymoma and lymphoma (each less than 1 ng/mL). Elevated CEA alone was diagnostic in two aspirates of bronchioloalveolar carcinoma; carcinoma with an unknown primary source, three; and large cell carcinoma, one. The adjunctive use of CEA in FNAs of the lung enhances the sensitivity of the cytologic diagnosis.     

超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用

摘要 目的：探讨超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用价值。方法：2019年1月至2020年5月选择在本院诊治的乳腺肿瘤患者148例,所有患者都给予超声造影联合超声弹性成像组织弥散定量分析,记录影像学特征。结果：在148例患者中,病理诊断为乳腺癌32例(恶性组),良性乳腺肿瘤116例(良性组)。良性组与恶性组的超声病灶形状、边缘、回声、微钙化等特征对比差异有统计学意义(P<0.05)。恶性组的超声造影增强模式、强度与良性组对比差异都有统计学意义(P<0.05)。恶性组的造影灌注参数曲线下面积(Area under the curve,AUC)、峰值强度(Peak intensity,PI)、上升支斜率(Wash in slope,WIS)值都高于良性组,达峰时间(Time To Peak,TTP)值低于良性组,对比差异都有统计学意义(P<0.05)。恶性组的组织弥散定量参数蓝色区域面积百分比(area ratio,%AREA)低于良性组,标准差(standard deviation,SD)、应变均值(mean,MEAN)值高于良性组,对比差异都有统计学意义(P<0.05)。结论：超声造影联合超声弹性成像组织弥散定量分析在乳腺癌诊断中的应用作为一种经济快捷、实时无创、重复性好的检查方法,能够定量评估乳腺癌的影像学特征,可为乳腺癌的临床治疗提供更多有价值的信息。     

Immunocytochemical Detection of the Androgen Receptor In Fine Needle Aspirates From Benign and Malignant Human Prostate

A monoclonal antibody to the androgen receptor was applied to fine needle aspirates from patients with benign and malignant prostatic disease. The series includes six patients with benign hyperplasia and 24 patients with prostatic carcinomas. The androgen receptor was detected in most nuclei of both benign and malignant epithelial cells. The intensity of immunostaining varied. No obvious relation was observed between the intensity of the staining in benign versus malignant cells. In addition no clear differences were found in the proportion of androgen receptor positive cells in benign aspirates as compared with aspirates from well differentiated or moderately well differentiated prostatic carcinomas. The relative number of androgen receptor positive cells was highest in smears from poorly differentiated prostatic carcinomas.