Cytologic grading and DNA image cytometry of breast carcinoma on fine needle aspiration cytology smears

OBJECTIVE: To correlate the cytologic grade of breast carcinoma with DNA image cytometry (ICM) and nuclear area on fine needle aspiration cytology (FNAC) smears. STUDY DESIGN: In this prospective study, FNAC material from 28 breast carcinomas were studied for cytologic grade and DNA ICM. Breast carcinomas were classified as grade 1-3 (low to high). DNA histograms were classified by the modified Auer method. Degree of hyperploidy (DH), ploidy balance (PB) and nuclear area (NA) were measured on Feulgen-stained smears by a CAS 200 image cytometer. Cytologic grade was correlated with DNA ICM findings and NA. RESULTS: There were 3 cytologic grade 1, 13 grade 2 and 12 grade 3 breast carcinomas. Seven of eight cases of hypertetraploid aneuploidy were grade 3 tumors. All cytologic grade 1 tumors were diploid. There were significant differences in DH, PB and NA in different grades of breast carcinoma (one-way ANOVA). CONCLUSION: DNA image cytometry in combination with cytologic grading might offer additional information for the characterization of breast carcinomas diagnosed by FNAC. These observations are of particular interest with the introduction of preoperative chemotherapy.     

Morphometric image analysis of follicular lesions of the thyroid

OBJECTIVE: To determine the role of image morphometry in distinguishing various follicular lesions of the thyroid in cytologic smears. STUDY DESIGN: Archival fine needle aspiration smears of 10 cases each of follicular hyperplasia, follicular adenoma, follicular carcinoma and follicular variant of papillary carcinoma were used for the study. All cases were histopathologically proven. At least 100 random nuclei from each case were subjected to analysis with an image cytometer. Area, convex area, length, width, perimeter, convex perimeter and roundness of nuclei were measured using a 40 x objective (1 pixel = 0.446 micron). RESULTS: ANOVA showed that all the nuclear variables studied were significantly different (P < .05) in follicular hyperplasia as compared to follicular carcinoma and papillary carcinoma. All nuclear variables except roundness were also significantly different (P < .05) between follicular hyperplasia and follicular adenoma. However, between follicular adenoma, follicular carcinoma and papillary carcinoma there was considerable overlap of nuclear morphometric parameters. CONCLUSION: Image morphometry may help to distinguish nonneoplastic follicular lesions (hyperplasia) from neoplastic lesions (adenomas and carcinomas). However, to distinguish benign from malignant follicular lesions, image morphometry might not improve the accuracy of standard cytologic examination.     

Automated image morphometry of lobular breast carcinoma

OBJECTIVE: To analyze the role of automated image morphometry (AIM) in distinguishing infiltrating lobular carcinoma (ILC) of the breast from benign, borderline and infiltrating ductal carcinoma (IDC). STUDY DESIGN: Only histopathologically proven lobular carcinoma, ductal carcinoma, borderline lesions and benign breast lesions were selected for the study. There were 19 cases of ILC and 30 cases of IDC, 20 cases of benign lesions (fibroadenoma, 18; fibrocystic disease, 1; and fibroadenosis, 1); 10 cases were borderline lesions (mild epithelial hyperplasia, 3; moderate epithelial hyperplasia, 2; florid epithelial hyperplasia 4; intraductal papillary carcinoma, 1). In all cases hematoxylin and eosin-stained slides were used for AIM. At least 100 cells from each case were subjected to analysis randomly with an image cytometer with Leica Quantimet 600 software (Cambridge, England). Nuclear area, diameter, perimeter, convex perimeter, convex area and roundness were measured in each case with random, unbiased selection of cells and 40 x objectives (one pixel = 0.46 microm). AIM data on the cases were analyzed in relation to final cytologic diagnosis. RESULTS: All the nuclear morphometric features of ILC were much lower than those of IDC and borderline lesions, whereas nuclear morphometric data on ILC were only marginally more than those on benign cases. ANOVA showed that mophometric data were significant (P < .05) in all the variables between ILC and IDC. However, there was no significant difference between ILC, and borderline and benign cases. CONCLUSION: Image morphometry may be useful in distinguishing ILC from IDC on cytologic smears. However, morphometric data may not be helpful in distinguishing benign and borderline lesions from ILC.     

Automated nuclear image morphometry on fine needle aspiration smears of malignant round cell tumors

OBJECTIVE: To analyze nuclear image morphometry in fine needle aspiration cytology smears of different groups of malignant round cell tumors (MRCTs) to evaluate its diagnostic role. STUDY DESIGN: In this study there were 55 cases of MRCT, consisting of 18 Ewing's sarcoma (EW), 10 neuroblastoma (NB), 5 non-Hodgkin's lymphoma (NHL), 6 rhabdomyosarcoma (RMS), 4 peripheral neuroectodermal tumor (PNET), 8 Wilm's tumor (WT), 2 retinoblastoma (RB) and 2 undifferentiated round cell tumor (URCT). A Leica image cytometer with Quantimet 600 software (Leica, Cambridge, U.K) was used to measure nuclear area, nuclear diameter, nuclear perimeter, nuclear convex perimeter (CP), nuclear roundness and nuclear convex area on hematoxylin and eosin-stained cytologic smears. At least 100 cells were studied in each case. RESULTS: The RB group of tumors showed the highest mean nuclear area (NA), convex area (CA), CP, diameter (D), perimeter (P) and roundness (R). RMS had the highest mean CA, and URCT had the highest mean roundness. ANOVA was performed on the tumors and showed significant differences for all the variables in all the groups (P < .000). All the morphometric data (except roundness) were significantly different in RMS versus all other MRCTs except RB. Similarly, morphometric data on WT were also significantly different from that on NHL. Most of the morphometric data (except CA and R) showed significant differences between RB and all other MRCTs except RMS. PNET, EW and NB could not be differentiated with those variables. CONCLUSION: RMS and RB could successfully be differentiated from all other MRCTs with the help of morphometry. It was not possible to differentiate RMS and RB by image cytometry (ICM) since the ICM data overlapped in those two groups. It was possible to differentiate WT and NHL with ICM. Nuclear ICM was not significantly different in the NB, PNET and ES groups, and probably ICM would not be very helpful to differentiate these groups of MRCT.     

Grading of ductal breast carcinoma by cytomorphology and image morphometry with histologic correlation

OBJECTIVE: To investigate the relevance of image analysis for grading breast carcinoma. STUDY DESIGN: Twenty-five ductal breast carcinoma cases were chosen randomly from routine fine needle aspiration clinics. The results of cytomorphologic grading and image morphometry were correlated with those of histologic grading. The five image morphometric parameters studied were nuclear diameter, nuclear area, nuclear roundness, nuclear perimeter and grey level to compare with chromatin texture. RESULTS: Cytologic grading alone had a high correlation with histologic grading. The lowest correlation was found in grade 2 tumors. When cytologic grading was supplemented with image morphometric parameters, the correlation was higher than that of cytologic grading alone. CONCLUSION: Cytologic grading has a high correlation with histologic grading. The correlation improves further on supplementation with image morphometric parameters.     

Computerized morphometric image analysis of cytologic nuclear parameters in breast cancer

The value of nuclear morphometry in the preoperative fine needle aspiration (FNA) cytologic diagnosis of mammary lesions was investigated and correlated with the lymph node status of the patients. The subjects consisted of four groups of patients: 49 with invasive ductal carcinomas (18 with no positive nodes, 16 with one to three positive nodes and 15 with four or more positive nodes) and 14 patients with benign lesions. The FNA specimens were smeared onto slides and stained by the May-Grünwald-Giemsa technique. The area, perimeter and maximum diameter of 100 randomly chosen nuclei were both measured with the IBAS image analysis system and semiquantitatively estimated with an eyepiece micrometer. For all three parameters, significant differences were found between benign and malignant lesions. The mean nuclear perimeter allowed the morphometric discrimination between all four groups with statistical significance; nuclear area and maximum diameter did not discriminate patients with invasive carcinoma and one to three positive nodes from those with no positive nodes or more than three positive nodes. Morphometry proved to be far superior to eyepiece measurements with respect to accuracy and reproducibility of the results. The results suggest that nuclear perimeter can be used as an additional parameter not only for the FNA cytologic diagnosis of breast cancer, but also for the estimation of patients' prognosis.     

Fine needle aspiration cytology of lobular breast carcinoma. Comparison with other breast lesions

OBJECTIVE: To analyze the detailed cytomorphology of lobular breast carcinoma and to compare the cytologic smears of benign, borderline and infiltrating duct carcinoma. STUDY DESIGN: Fine needle aspiration cytology (FNAC) smears of histopathologically proven infiltrating lobular carcinoma (ILC), infiltrating ductal carcinoma (IDC), borderline lesions and benign breast lesions were selected for study. Detailed cytomorphologic analysis of the smears was carried out on hematoxylin and eosin- and May-Grünwald-Giemsa--stained slides, and a comparison of results was done. The various cytologic features were also graded semi-quantitatively with the numerical score; logistic regression analysis was done. RESULTS: There were 25 cases of ILC, 30 of IDC, and 10 borderline and 18 benign lesions. Cytologic diagnosis of malignancy on FNAC smears of ILC was offered in 19 cases; of them, 2 cases were diagnosed as ILC. The remaining six cases were diagnosed as borderline (four) and benign lesions (two). Overall sensitivity in detection of malignancy in ILC cases was 76%. FNAC smears of ILC showed moderate (52%) to abundant (32%) cellularity. The cells of ILC were arranged both in clusters and in dissociation (72%). Individual cells were monomorphic (40%) to mildly pleomorphic (60%), and the cells were smaller. The cells showed a smooth, regular nuclear margin; bland chromatin; and indistinct nucleoli. Indian file arrangement was frequently observed (28%). Nuclear molding (28%) and intranuclear inclusions (16%) were also noted. Intracytoplasmic lumina were seen in occasional cases. Logistic regression analysis was carried out, and a comparison between lobular carcinoma and ductal carcinoma, and borderline and benign lesions was done. Logistic regression analysis of cytomorphologic features showed that cellularity and nuclear margin irregularities were the two most important features to distinguish ILC from IDC. In comparison to borderline lesions, cell dissociation was more common in ILC. The salient cytologic features that helped to distinguish ILC from benign lesions was cell size, cellularity, cell uniformity and chromatin pattern. CONCLUSION: There are overlapping cytologic features between ILC, IDC and borderline breast lesions on FNAC smears. Logistic regression analysis may be helpful in this regard.     

Fine needle aspiration cytology of the breast: impact of experience on accuracy, using standardized cytologic criteria

OBJECTIVE: To evaluate the impact of experience on the accuracy of breast fine needle aspiration cytology (FNAC) using standardized microscopic criteria and review the possible complementarities between FNAC and core biopsy (CB). STUDY DESIGN: We studied 292 breast FNAC samples and their subsequent biopsies. The cytologic samples were blindly reevaluated 4-7 years later, when we had gained more experience and refined our diagnostic criteria. The accuracy of the first reading was compared to that obtained at the second reading. Inadequate smears were included in the accuracy calculations. RESULTS: In the second reading, the identification of carcinomas and of benign lesions became more accurate. The improvement was statistically significant. Absolute sensitivity passed from 59.9% to 67.7%. Specificity increased from 52.0% to 56.0%. The inadequacy rate varied from 12.7% to 14.0% and complete sensitivity from 92.2% to 91.7%. The majority of inadequate smears were associated with benign lesions. CONCLUSION: Significant improvements are associated with increased experience. A more detailed evaluation of nuclear atypia and the use of Papanicolaou-stained material were also important. Accurate selection of patients may improve specificity. FNAC could be used in a complementary way with CB.     

Characteristic cytological features of histological grade one (G1) breast carcinomas in fine needle aspirates

Objective:  To analyse the spectrum of nuclear features as well as dissociation pattern found in fine needle aspirates (FNAC) from histological grade 1 breast carcinomas and evaluate the critical cytological features of these lesions.
Material and methods:  The material consisted of FNAC smears from 494 histologically confirmed grade 1 breast carcinomas. All smears were revaluated for cell dissociation pattern, nuclear size, cell uniformity, nucleoli, nuclear margin and chromatin pattern. All features were compared with the histological subtype and cytological grading.
Results:  73.9% of the cases were cytological grade 1, 24.3% were grade 2 and 1.8% were grade 3. The majority of the cases had a cell dissociation pattern showing both a population of single carcinoma cells and cell clusters (65.9%). Practically all tumours had a granular chromatin pattern (94.7%) and a slightly irregular nuclear margin with folds and grooves (94%) irrespective of histological subtype and cytological grading. Nucleoli were mostly indistinct or small (74%), whereas 24.3% were noticeable and 1.7% abnormal. Practically all cases revealed some degree of pleomorphism with 74.3% showing mild and 22.4% a distinct pleomorphism. A small subgroup of IDC was classified as monomorphic (3.3%). Almost all tumours had nuclear sizes in the range of 2–4 × RBC (96.9%).
Conclusion:  Not all histological grade 1 carcinomas are cytological grade 1. About 25% were grade 2, and a small subpopulation reached grade 3. The typical/average findings in FNAC from grade 1 breast carcinomas were a population of both groups and single cells showing mild pleomorphism, granular chromatin, slightly irregular nuclear margin, indistinct nucleolus and nuclear size 2–4 × RBC.     

Fine needle aspiration cytology of the breast. Experience at an outpatient breast clinic

OBJECTIVE: To evaluate the accuracy of fine needle aspiration cytology (FNAC) of the breast at our institution and to perform quality assurance. STUDY DESIGN: Two hundred forty-six cases with pathologic confirmation were selected and reviewed. A pathologist performed most of the aspirations at an outpatient breast clinic. We correlated cytologic and histologic findings and evaluated the influence of the size, location, grade, and pathologic subtypes and fibrosis in breast lesions on diagnostic results. RESULTS: The likelihood ratios for malignant, suspicious, atypical, benign and unsatisfactory cytologic diagnoses were 98.71, 5.48, 1.09, 0.07 and 0.55, respectively. The absolute and complete sensitivities for malignant lesions were 64.5% and 90.3%, respectively. The specificity was 71.9%. False negative and positive rates were 4.3% and 0.7%, respectively. The predictive value for a malignant cytologic diagnosis was 98.4%. The rate of unsatisfactory samples was 9.3%. The rate of concordance between cytologic and histologic diagnosis was lower for large and diffusely growing lesions (benign and malignant), for malignancies with abundant fibrosis and of unusual types and for carcinomas of low grade. All axillary and recurrent chest wall lesions were diagnosed cytologically. Cell block sections were useful in a small number of cases. CONCLUSION: Understanding the performance and limitations of FNAC can enhance its value as a diagnostic technique in the management of breast disease.     

Manual and automated AgNOR count in differentiating reactive mesothelial from metastatic malignant cells in serous effusions

OBJECTIVE: To distinguish reactive mesothelial cells from malignant cells in serous effusions using manual and automated methods of enumeration of argyrophilic nucleolar organizer regions (AgNORs). STUDY DESIGN: In this prospective study, 38 samples of benign (19 cases) and malignant (19 cases) serous effusions were included. AgNOR stain was used in each case along with routine Papanicolaou stain. The smears were examined under an oil immersion objective, and AgNOR dots were counted by direct observation independently by 2 observers. Automated AgNOR counting and morphometry were performed with a Quantimet 600 image cytometer (Leica, Cambridge, England). At least 100 cells were counted in each case. The number of AgNOR dots in individual cells, AgNOR area, nuclear area, AgNOR vs. nuclear area and nuclear perimeter were measured. Data on benign and malignant cells were compared. RESULTS: The AgNOR dots were discrete and smaller in benign effusion cases as compared to coarse and aggregated in malignant effusion cases. In benign reactive effusion cases the mean number of AgNOR dots per nucleus was 2.33 +/- 0.71 and 2.83 +/- 1.15 by the manual and automated method, respectively, whereas that for malignant effusion cases was 7.48 +/- 2.51 and 8.09 +/- 1.69 by the manual and automated method, respectively. Mean total AgNOR areas in benign and malignant groups were 4.77 +/- 2.66 microns 2 and 38.22 +/- 13.71 microns 2, respectively. Mean nuclear area, nuclear perimeter and ratio of AgNORs vs. nuclear area were 48.72 +/- 19.30 microns 2, 24.68 +/- 10.25 microns and .098 in benign effusion cases as compared to 174.25 +/- 82.36 microns 2, 69.03 +/- 27.23 microns and 0.22 in malignant effusion samples. All these values were significantly higher (P < .001, Student's t test) in malignant cells as compared to benign reactive cells. CONCLUSION: AgNOR dot enumeration, AgNOR area and ratio of AgNORs to nuclear area are valuable adjuncts to cytomorphology in differentiating reactive mesothelial cells from malignant cells in serous effusions. Automated AgNOR counting is rapid and less cumbersome.     

Stereologic estimates of volume-weighted mean nuclear volume in aspiration smears of ductal breast carcinoma. Correlation with cytologic grade, tumor size and lymph node status

OBJECTIVE: To estimate cytologic volume-weighted mean nuclear volume and correlate it with other prognostic factors, such as tumor diameter and cytologic grading in relation to nodal infiltration. STUDY DESIGN: The relationships between nodal status and nuclear VV, tumor diameter and cytologic grading, according to the modified Black nuclear grading system, were analyzed on fine needle aspirates of 49 cases of breast cancer by univariate and multivariate logistic regression. RESULTS: Volume-weighted mean nuclear volume (nuclear VV) estimated on fine needle aspiration smears showed a significant correlation with grade of tumor differentiation. CONCLUSION: Stereologic evaluation of nuclear size by nuclear VV is an objective method for the cytologic grading of ductal carcinoma of the breast and has independent prognostic value in relation to nodal status higher than those of tumor diameter and cytologic grade.     

Diagnostic accuracy of fine-needle aspiration cytology in histological grade 1 breast carcinomas: are we good enough?

Background: Fine-needle aspiration cytology (FNAC) of both palpable and non-palpable breast carcinomas has a high accuracy and sensitivity in dedicated centres. It is generally thought that low-grade carcinomas have a distinctly lower sensitivity due to discrete cellular atypia that may be difficult to appreciate. Grade 1 carcinomas make up about 45% of screening-detected breast carcinomas and about 20% of symptomatic breast cancers. The aim of this study was to evaluate the diagnostic sensitivity of grade 1 carcinomas and identify the critical features in the cytological diagnostic work-up of these tumours. Methods: There were FNAC smears from 494 histologically confirmed grade 1 carcinomas diagnosed during 1996–2004. The cytological diagnoses were compared with the histology. Results: A definitive malignant diagnosis (absolute sensitivity) was given in 382 cases (77.3%). Equivocal or suspicious diagnoses were given in 75 (15.2%), benign or probably benign (false negative) in 24 (4.8%). Thirteen cases (2.6%) were unsatisfactory. Complete sensitivity was 92.7%. Invasive ductal carcinomas comprised 81.3% of all cases; absolute sensitivity for these was 80.9%. Invasive lobular and tubular carcinomas comprised 7.3% and 5.9% of cases, respectively; absolute sensitivity for these diagnosis was 50.0% and 57.1%, respectively, significantly lower than for other subtypes (P ≤ 0.0001) whereas the difference for complete sensitivity was less but still significant (P = 0.017). Absolute and complete sensitivities were lower for tumours less than 1 cm size compared with more than 1 cm (P ≤ 0.00001). Conclusion: Preoperative FNAC diagnosis of grade 1 breast carcinoma has a high sensitivity, especially in ductal carcinomas. Invasive lobular and tubular carcinomas were less likely to receive a definite preoperative diagnosis. The main reason for not reaching a definitive malignant diagnosis was sampling error due to small tumours less than 1 cm in diameter, irrespective of tumour subtype.     

Prognostic significance of nuclear morphometry in superficial bladder cancer

OBJECTIVE: To evaluate the significance of nuclear morphometry in predicting the clinical course in superficial (pTa and pT1) bladder cancer. STUDY DESIGN: The study included 73 patients with superficial transitional cell carcinoma of the bladder who were followed for a median of 21 months (range, 1-90). Nuclear morphometry was performed by a computer-assisted image analyzer system on hematoxylineosin-stained histologic sections and characterized by five nuclear variables: area, perimeter, major and minor diameter, and form factor. Patient charts and microscopic slides were reviewed to record tumor stage, grade and size. Tumor proliferative activity was assessed by immunohistochemical staining with Ki-67 antibody. RESULTS: None of the morphometric variables showed a significant relation to tumor progression and recurrence. Higher values of mean nuclear area, perimeter, and major and minor diameter were significantly related to higher grade and proliferative activity. Mean nuclear area and minor diameter were associated with advanced stage. Of established prognostic factors, only histologic grade was significant in predicting progression. CONCLUSION: The results suggest that nuclear morphometry may be valuable in determining proliferative activity and may be well correlated with histologic grade in superficial bladder cancer. However, like many other potential prognostic factors, it seems to be unreliable in predicting clinical behavior.     

Cytologic evaluation of prognostic markers in breast carcinoma

To type breast carcinomaon on fine needle aspiration cytology (FNAC) material and correlate the results with histologic typing, to grade breast carcinoma on FNAC material and correlate the findings with Bloom-Richardson histologic grading, and to determine the estrogen receptor (ER) status in cases of breast carcinoma by immunocytochemical (ICC) staining of FNA cytologic material and correlate the findings with ER status, as determined by immunohistochemical (IHC) staining of tissue sections. STUDY DESIGN: Seventy-seven cases of breast carcinoma diagnosed on FNAC formed the basis of this study. Typing was done in all cases on the basis of cytologic features and grading in 62. (Fifteen cases were special types of breast carcinoma). In all cases, ER status was determined by immunostaining of cytologic smears. Results of tumor typing, grading and ER status on cytologic material were compared with the results of histologic typing, grading and immunostaining of histologic material obtained from mastectomy or wide excision specimens. RESULTS: Tumor typing was accurate in 73 of 77 cases (94.8%). Fifteen of 18 cases that were cytologically grade 3 were confirmed on histology, while 3 proved to be grade 2. Of 40 cytologic grade 2 cases, 26 were confirmed on histology, while 14 cases were grade 3. Three of 4 cytologically grade 1 cases were confirmed on histology while 1 was grade 2. The overall accuracy for cytologic grading was 71% (44 of 62 cases). Thirty-seven of 40 ER-positive cases (92.5%) were labeled ER positive on ICC. One case was ER negative on cytology, while in 2 cases the cellularity of the cytologic smear was insufficient to assess ER expression. Thirty-seven cases were negativefor ER on IHC. Nine of these showed ER positivity on ICC, 26 were negative, and 2 had cellularity that was inadequate for assessment of ER. Sensitivity and specificity rates for ER detection on ICC were 97.4% and 74.3%, respectively. CONCLUSION: Tumor typing, grading and evaluation of ER status on FNA C material in breast carcinomas are simple, quick and moderately reliable techniques that compare and correlate favorably with histologic typing, grading and ER status on IHC.     

Quantitative assessment of oxyphilic cell lesions of the thyroid gland on fine needle aspiration samples.

OBJECTIVE: To assess the possible contribution by a multiparametric quantitative approach to the cytologic diagnosis of oxyphilic cell (OC) thyroid lesions. STUDY DESIGN: Ten cases of chronic lymphocytic (Hashimoto) thyroiditis and 10 nodular goiters containing oxyphilic cells plus 20 cases of tumors subsequently classified as oxyphilic cell adenomas (10 cases) or oxyphilic cell well-differentiated carcinomas (10 cases) were evaluated. The study was performed on May-Grünwald-Giemsa-stained smears for planimetric measurements. The same smears were destained and Feulgen restained for densitometric measurements. The latter were performed using static cytometry equipment measuring 100 and 20-30 lymphocytes per case for the determination of integrated optical density (IOD). The following parameters were considered: nuclear area, perimeter, maximum diameter, form ELL, form PE, IOD, 5c exceeding rate (5cER) and visual classification of histograms as euploid, polyploid and aneuploid. RESULTS: Mean nuclear area of carcinomas was smaller than that of adenomas, goiter and thyroiditis. Nuclear area was larger in adenomas than in other benign lesions and carcinomas. All the other planimetric parameters were similar in the lesions examined. Four carcinomas and three adenomas were aneuploid, and all the rest were euploid. All the cases of thyroiditis and goiter were euploid or polyploid; four thyroiditis cases showed polyploid histograms and 5cER values > 1. CONCLUSION: Morphometric and densitometric procedures have a limited role in the discrimination of OC lesions, but small nuclear area values may be useful in distinguishing OC carcinoma from other lesions. The role of densitometry seems even more limited because aneuploid histograms may be found among adenomas and carcinomas. Further studies are needed to explain polyploidy and 5cER > 1 in Hashimoto thyroiditis.     

The role of micronucleus scoring in fine needle aspirates of ductal carcinoma of the breast

S. Samanta, P. Dey and R. Nijhawan The role of micronucleus scoring in fine needle aspirates of ductal carcinoma of the breast Aims and objectives: Micronucleus (MN) scoring was carried out in benign (fibroadenoma) and malignant (infiltrating ductal carcinoma) breast lesions to evaluate the role of MN as a biomarker in breast carcinomas. We also compared MN scores among different cytological grades of breast carcinoma. Materials and methods: A total of 31 archival cases of fibroadenoma (FA) and 40 cases of infiltrating ductal carcinoma (IDC) were selected. The best May‐Grünwald–Giemsa (MGG) stained fine needle aspiration cytology (FNAC) smear of each case was selected. The MN scoring was carried out independently by two observers on 1000 epithelial cells in oil immersion magnification (100× objective). The MN scores in FA and IDC were compared. The IDC cases were graded and the MN scores in different cytological grades of IDC were compared. Results: The mean MN scores (± standard deviation) in FA and IDC were 0.6 (± 1.1) and 13.6 (± 12.8), respectively, which were significantly different (P < 0.0001). There were seven grade 1, 13 grade 2, and 20 grade 3 IDCs. The mean MN scores (± standard deviation) of grade 1, 2 and 3 IDC were 4.3 (± 2.3), 11.95 (± 9.2) and 21.1 (± 16.7), respectively. An analysis of variance (anova ) test showed a significant difference in MN score between all the grades of IDC (P < 0.05). However, there was no significant difference between fibroadenoma and grade 1 IDC. The Pearson’s correlation coefficient showed positive correlations between MN scoring in the different grades of IDC. Conclusions: MN scoring on routinely stained smears of IDCs was significantly higher than in fibroadenoma and was relatively easy, reliable and reproducible. As MN scoring of grade 1 IDC was similar to fibroadenoma, a larger study should be conducted to compare grade 1 IDC with other benign breast lesions.     

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.     

Cytomorphologic and morphometric limitations of the assessment of atypia in fibroadenoma of the breast

OBJECTIVE: To investigate the relevance of nuclear morphometry in separating the categories of "fibroadenoma" and "fibroadenoma with atypia." STUDY DESIGN: Thirty consecutive breast lumps, on which a fine needle aspiration (FNA) diagnosis of fibroadenoma was followed by excision and histopathologic confirmation of the diagnosis, were included. Atypia on cytology was based on cell overlap, nuclear enlargement and cell dyscohesion. Nuclear morphometric comparison was carried out between the categories of fibroadenoma, fibroadenoma with atypia and grade 1 ductal carcinoma cases that formed part of an earlier study. The parameters employed were area, roundness, diameter, perimeter and grey level. RESULTS: Among the 30 cases of fibroadenoma reported on FNA, an additional component of atypia was noted in 5. On subsequent histopathology, atypia was not confirmed in any of the cases. On morphometric analysis, a significant difference was noted between fibroadenoma and fibroadenoma with atypia categories, as between fibroadenoma and grade 1 ductal carcinoma cases. However, no significant difference was noted between fibroadenoma with atypia and grade 1 ductal carcinoma cases. CONCLUSION: FNA assessment of atypia in cases of fibroadenoma is difficult. Even conventional nuclear morphometry, though supporting the initial impression of atypia, does not help with this assessment. Also, based on morphometry alone, there may be difficulty separating fibroadenomas with atypia and grade 1 ductal carcinomas. Larger studies, employing other morphometric parameters, such as chromatin texture and fractal dimension, may shed further light on the subject.     

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.