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.     

The role of thallium-201 and pentavalent dimercaptosuccinic acid for staging cartilaginous tumours

INTRODUCTION: Heterogeneity of cartilage tumours may confound accurate diagnosis and grading resulting in under and over treatment. Improved preoperative assessment of malignancy and grade would be invaluable for developing a rational plan for treatment. We examined correlations between nuclear tracer avidity and malignancy grade in cartilage tumours. METHODS: Between 1996 and 2000, 92 consecutive patients with cartilaginous tumours (50 benign, 42 non-metastatic malignant) underwent nuclear scanning. Thallium-201 (TL-201) and pentavalent dimercaptosuccinic acid (DMSAV) were used as nuclear isotopes. Scanning with these agents was performed on separate days 48 hours apart. Static and SPECT images were obtained at 30 m and 4 h after injection of nuclear tracer. Pathology review was undertaken blinded to the results of the nuclear scans and correlations between histologic results and trace uptake at 4 hours examined. RESULTS: 25 patients with negative DMSAV had benign tumours. 15/17 tumours with positive TL-201 had malignant tumours. 11/13 patients with both positive DMSAV and TL-201 scans had intermediate or high grade tumours and 4 of these developed metastases. We have developed an algorithm for the management of patients with tumours that aims to avoid over treatment of low grade tumours and under treatment of high grade tumours. CONCLUSION: Functional nuclear scanning with TL-201 and DMSAV complements other imaging modalities in the management of cartilaginous tumours.     

Cytological grading of breast carcinoma—a feasible proposition?

Fine needle aspiration cytology (FNAC) of the breast is widely used in the diagnosis of breast carcinoma. In some centres this is sometimes the only diagnostic procedure performed prior to definitive treatment. A grading system based on cytology would be helpful in the selection of patients for appropriate therapy. The aim of this study, therefore, was to devise such a system for grading breast carcinoma based on cytological features alone. The features assessed were the degree of cell clustering, nuclear pleomorphism, nuclear diameter, the presence of multiple, easily visible nucleoli and necrosis. Cytological features were compared to the histological grade of the tumours following excision. Discriminant analysis showed that the features with the closest correlation with histological grade were nuclear diameter, nuclear pleomorphism and the presence of nucleoli. A scoring system based on these three parameters enabled the classification of tumours into high and low cytological grades which showed a close correlation with histological grade.     

A comparative study in morphometric grading of transitional cell carcinoma of the urinary bladder

To overcome the considerable observer inconsistency in the histologic grading of transitional cell carcinomas, the value of four different morphometric grading methods was investigated in 61 tumors of the bladder. Only two methods showed satisfactory reproducibility. Both methods, one based on random nuclear sampling and the other on selective nuclear sampling, showed an increase in the mean and standard deviation of the nuclear area with higher tumor grades (P less than .00001). Morphometric classification of the learning set (44 cases) was in agreement with the unequivocally assessed histologic grade in 35 cases (79.5%) using random sampling and in 38 cases (86.4%) using selective sampling. By reducing the grading classes to "low" (grades 1 and 2) and "high" (grade 3) and by introducing a classification probability threshold (0.80), an accurate morphometric classification was achieved in 38 cases (86.4%) using random sampling and in 41 cases (93.2%) using selective sampling. Of the 17 cases with histologic grading discrepancies, all 10 low-grade tumors (with discrepancies of grade 1 versus grade 2) were correctly classified as low-grade carcinomas by both of the morphometric methods; in the remaining 7 cases, with low-versus-high discrepancies (grade 2 versus grade 3), the selective method yielded better correlation with the tumor stage and clinical follow-up. It is concluded that morphometric classification is an acceptable alternative for histologic grading by pathologists, provided that the reproducibility of the method is confirmed. Although both random and selective sampling yielded satisfactory classifications, the selective method gave more reliable results as confirmed by the clinical behavior.     

Stereological estimates of nuclear volume correlated with histopathological grading and prognosis of bladder tumour

The aim of this retrospective study is to provide morphometric data which make grading of urinary bladder tumours objective and reproducible by stereological estimation of nuclear volume using the principle of estimating of the volume of particles of arbitrary shape. The study includes 92 specimens: 12 from normal bladder mucosa, and 80 from bladder tumours (15 grade I, 45 grade II, 19 grade III and one grade IV according to Bergkvist et al. 1965). After standard fixation, embedding, sectioning and hematoxylin-eosin staining, an unbiased estimate of the mean volume of nuclei sampled with a change proportional to the volume: (Formula: see text) was calculated. Here l0 is the length of the intercept through a test point hitting a nucleus measured in a random direction through the test point. The weighted means of nuclear volume in bladder tumours are spread over a wide range and show a strong correlation with the Bergkvist grade. Moreover, the relationship between the weighted mean volume of nuclei in bladder tumours and the prognosis is very good. Only one of 35 patients with a mean nuclear volume below 300 micron 3 died of bladder cancer whereas 18 of 19 patients with a mean nuclear volume above 500 micron 3 developed invasives tumours or died of their disease. This simple and fast estimate of nuclear volume seems to provide objective data of high prognostic value.     

Further testing of morphometric grading in T(A,1) urothelial carcinomas of the urinary bladder and the additional value of p53 immunoquantitation

OBJECTIVE: To analyze the value for grading of a previously developed quantitative morphometric/cytometric multivariate grading model (consisting of the mean nuclear area of the 10 largest nuclei (MNA-10, mitotic activity index = MAI and Ki-67 area% = Ki-67) in two new independent test sets of urothelial carcinomas (UCs) of the urinary bladder and to evaluate the additional value of p53 area% (p53) in this model. STUDY DESIGN: Ki-67 immunoquantitation, morphometric MAI and MNA-10 assessments using a previously described, strict protocol and matching of the resulting morphometric grade with subjective grade in two test sets of 154 T(A,1) UCs of the bladder (consensus grade between two independent observers). Further testing of this morphometric grading model was performed in 57 cases that lacked initial interobserver agreement on grade. Single and multivariate analysis of all features (including p53) was performed. RESULTS: With the previously developed morphometric/cytometric grading model, 93% (grade 1 vs. 2) and 91% (grade 2 vs. 3) of the consensus cases were correctly classified. These percentages were very similar to previous results, suggesting that the model is robust. Of the 57 cases that lacked initial interobserver agreement on grade, 53/57 (93%) were classified unambiguously as grade 1, 2 or 3 with the quantitative morphometric/ cytometric grading model. In the exploratory analysis, p53 was significant but with more overlap than the other features had. In multivariate analysis p53 did not improve the overall classification result of the original morphometric/cytometric model. CONCLUSION: The value of MNA-10, MAI and Ki-67 for grading in T(A,1) urothelial carcinomas of the urinary bladder was confirmed. p53 Did not improve overall grading classification of this combination.     

Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinoma

OBJECTIVE: To develop an image analysis system for automated nuclear segmentation and classification of histologic bladder sections employing quantitative nuclear features. STUDY DESIGN: Ninety-two cases were classified into three classes by experienced pathologists according to the WHO grading system: 18 cases as grade 1, 45 as grade 2, and 29 as grade 3. Nuclear segmentation was performed by means of an artificial neural network (ANN)-based pixel classification algorithm, and each case was represented by 36 nuclei features. Automated grading of bladder tumor histologic sections was performed by an ANN classifier implemented in a two-stage hierarchic tree. RESULTS: On average, 95% of the nuclei were correctly detected. At the first stage of the hierarchic tree, classifier performance in discriminating between cases of grade 1 and 2 and cases of grade 3 was 89%. At the second stage, 79% of grade 1 cases were correctly distinguished from grade 2 cases. CONCLUSION: The proposed image analysis system provides the means to reduce subjectivity in grading bladder tumors and may contribute to more accurate diagnosis and prognosis since it relies on nuclear features, the value of which has been confirmed.     

Tumour ploidy, morphometry, histological grading and clinical features in ovarian carcinoma: mutual relations

The relationship between tumour ploidy and qualitative and quantitative histopathology was assessed in a series of 95 ovarian carcinomas. 67% of the tumours were non-diploid (DNA aneuploid). 56% of the early stage (I-II) tumours were non-diploid and 81% of the tumours in advanced (III-IV) stages were aneuploid. Histological grading failed to show a clear relationship between increasing malignancy grade and ploidy. There was a close association between DNA ploidy and nuclear perimeter, area and shortest and longest nuclear diameter: the nuclei of non-diploid tumours were generally larger. Also the number of mitotic figures per square millimeter of epithelium in the microscope image (volume-corrected mitotic index, M/V-index) differed significantly between near-diploid and non-diploid tumours. Discriminant analysis showed that 74% of the learning-set tumours (67% of the test set tumours) could be correctly classified in low-ploidy and high-ploidy categories with morphometric features (nuclear perimeter, M/V-index and volume percentage of epithelium). Characteristic features of non-diploid ovarian tumours--rapid proliferation and large nuclear size--could be assessed with morphometric methods which allowed a relatively large aneuploid tumour group to be distinguished.     

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.     

Pleomorphism of the nuclear envelope in breast cancer: a new approach to an old problem

In routine practice, nuclear pleomorphism of tumours is assessed by haematoxylin staining of the membrane-bound heterochromatin. However, decoration of the nuclear envelope (NE) through the immunofluorescence staining of NE proteins such as lamin B and emerin can provide a more objective appreciation of the nuclear shape. In breast cancer, nuclear pleomorphism is one of the least reproducible parameters to score histological grade, thus we sought to use NE proteins to improve the reproducibility of nuclear grading. First, immuno-fluorescence staining of NE as well as confocal microscopy and three-dimensional reconstruction of nuclei in cultured cells showed a smooth and uniform NE of normal breast epithelium in contrast to an irregular foldings of the membrane and the presence of deep invaginations leading to the formation of an intranuclear scaffold of NE-bound tubules in breast cancer cells. Following the above methods and criteria, we recorded the degree of NE pleomorphism (NEP) in a series of 273 invasive breast cancers tested by immunofluorescence. A uniform nuclear shape with few irregularities (low NEP) was observed in 135 cases or, alternatively, marked folds of the NE and an intranuclear tubular scaffold (high NEP cases) were observed in 138 cases. The latter features were significantly correlated (P-value <0.002) with lymph node metastases in 54 histological grade 1 and in 173 cancers with low mitotic count. Decoration of the NE might thus be regarded as a novel diagnostic parameter to define the grade of malignancy, which parallels and enhances that provided by routine histological procedures.     

Objective grading of the pivot shift phenomenon using a support vector machine approach

The pivot shift test is the only clinical test that has been shown to correlate with subjective criteria of knee joint function following rupture of the anterior cruciate ligament. The grade of the pivot shift is important in predicting short- and long-term outcome. However, because this grade is established by a clinician in a subjective manner, the pivot shift’s value as a clinical tool is reduced. The purpose of this study was to develop a system that will objectively grade the pivot shift test based on recorded knee joint kinematics. Fifty-six subjects with different degrees of knee joint stability had the pivot shift test performed by one of eight different orthopaedic surgeons while their knee joint kinematics were recorded. A support vector machine based algorithm was used to objectively classify these recordings according to a clinical grade. The grades established by the surgeons were used as the gold standard for the development of the classifier. There was substantial agreement between our classifier and the surgeons in establishing the grade (weighted kappa=0.68). Seventy-one of 107 recordings (66%) were given the same grade and 96% of the time our classifier was within one grade of that given by the surgeons. Moreover, grades 0 and 1 were distinguished from grade 2 to 3 with 86% sensitivity and 90% specificity.Our results show the feasibility of automatically grading the pivot shift in a manner similar to that of an experienced clinician, based on knee joint kinematics.     

Morphometry of bladder carcinoma: definition of a new variable

In this study two measurements of nuclear size, the mean area and the size distribution curve of nuclear area, were used to differentiate between two polar groups: nuclei from non-neoplastic urothelium and nuclei from transitional cell carcinomas of bladder with a poor clinical outcome. Wide separation of these groups is necessary if a measurement is to be used to assess tumour grade where the morphometric differences are intermediate between such polar groupings. Separation between two groups was best achieved using a weighted distribution of nuclear size and this is a means of objective scoring of urothelial tumours.     

Cytological grading of breast cancer in Giemsa-stained fine needle aspiration smears

A potential cytological nuclear grading based on a semi-quantitative evaluation of three basic nuclear features, size of cell nuclei, anisonucleosis and the proportion of nucleoli-containing-nuclei, was tested on 74 Giemsa-stained fine needle aspiration of breast smears for its reliability in establishing the malignant potential of breast cancer. The prognostic impact of DNA-ploidy and S-phase fraction was also assessed. A good correlation between the three basic nuclear features, DNA-ploidy, S-phase fraction, cytological nuclear grade and histological grade, was shown. Using the cytological nuclear grade proposed, correct classification of cases between low histological grade (HG I) and high histological grade (HG II + HG III) was achieved in 79.73%. A statistically significant difference in 5-year survival rate was also observed between low malignancy grade and high malignancy grade breast cancer patients, regardless of the grading method used. DNA-ploidy and S-phase fraction were not statistically significant in establishing the malignant potential of breast cancer.     

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.     

Mean nuclear volume in cervical intraepithelial neoplasia and carcinoma

OBJECTIVE: To correlate three-dimensional nuclear size (mean nuclear volume) estimated by the stereologic intercept methodfor objective classification of cervical intraepithelial neoplasia (CIN) and carcinoma. STUDY DESIGN: In this retrospective study a total number of 29 CIN cases (8 cases of CIN 1, 10 cases of CIN 2 and 11 cases of CIN 3) and 10 cervical squamous cell carcinoma cases were selected. Mean nuclear volume (MNV) of all cases was measured with an image cytometer (Leica, Cambridge, England) using Quantimet 600 software (Leica). Nuclear point resection method was adopted to measure nuclear volume. Mean intercepted diameter of at least 50 nuclei was measured randomly. MNV was correlated with the histologic grade and diagnosis. RESULTS: MNV of CIN 1, 2, 3 and carcinoma cases was 291.72, 403.33, 711.45 and 893 microm3, respectively. ANOVA test results showed that MNV of CIN 1 and 2 was significantly lower than that of CIN 3 and invasive carcinoma (P < .000). MNV of CIN 3 was also significantly lower than that of carcinoma cases (P <.05). CONCLUSION: The findings suggest that estimates of MNV on conventional histopathology slides provide objective and useful criteria for relatively subjective histopathologic grading.     

Characteristics of tumour vessels in cytological squash smears of astrocytic tumours

S. Sato, Y. Sato, K. Marutsuka, H. Takeshima and Y. Asada Characteristics of tumour vessels in cytological squash smears of astrocytic tumours Objective: Smear preparations are useful tools from which to diagnose brain tumours intraoperatively. Although vascular proliferation is histologically a key feature of high‐grade astrocytoma, the characteristics of tumour vessels in smear preparations have not been determined. Methods: We examined the density and morphological parameters (area, width, nuclear layer and branches of vessel wall) of tumour vessels in squash smears of 43 primary astrocytomas (grade II diffuse astrocytomas, n = 9; grade III anaplastic astrocytomas, n = 13; grade IV glioblastomas, n = 21) and normal brain tissues (n = 11). Results: Vessel density and all morphological parameters were significantly higher in grade IV than in the other grades of tumours and in normal brain tissue. Vessel area, width and nuclear layer were greater in grade III than in normal brain tissue. The sensitivity and specificity of these vessel parameters for astrocytomas were 75–100% and 82–100%, respectively. Conclusions: Tumour vessel evaluations from squash smears provide useful information for the intraoperative diagnosis and grading of astrocytic tumours.     

Use of nuclear image cytometry, histopathological grading and DNA cytometry to make breast cancer prognosis more objective.

Feulgen-stained tissue sections of 187 invasive ductal carcinomas (94 with lymph node metastases; mean follow-up: 44 months) were studied using computer assisted image cytometry. Based on survival time, the prognostic significance of nuclear image analysis was compared with the results using conventional histopathological grading according to Bloom and Richardson, as well as with image cytometric DNA measurements. The histopathological grading has the disadvantage of poor interobserver reproducibility (71.1%). Despite statistically significant differences between the actuarial survival curves of grade 1 and grade 3 patients, the prognostic significance of the conventional grading method for individual patients seems to be low and the number of grade 2 cases (42.8%) is large. The quantitative morphological method for analyzing nuclear images gives more reproducible results. Compared to histopathological grading, the predictive values for good or poor prognosis are clearly higher and the number of cases with uncertain prognosis is significantly smaller (20.9%). DNA ploidy measurements also make it possible to distinguish statistically significant differences between favorable and unfavorable prognoses with respect to over-all survival time. However, the classification accuracy based on the best single parameter (DNA-histogram type according to Auer) is 70.2% compared with 78.9% for nuclear image analysis.     

Architectural, morphometric and photometric features and their relationship to the main subjective diagnostic clues in the grading of prostatic cancer

Novel software was developed to perform quantitative measurements of architectural and nuclear features in tissue sections. A pilot study was then undertaken to determine the diagnostic relevance of these quantitative features in prostatic tissue and the relationship of these objective features to the subjective clues used by practicing pathologists in the grading of prostatic adenocarcinoma. From a group of 82 cases of adenocarcinoma of the prostate with long-term follow-up, a subset of 15 cases that included 5 each in Mostofi grades I, II and III was carefully selected for analysis. Consecutive sections from each case were stained with hematoxylin and eosin or the Feulgen stain for visual and cytometric evaluations, respectively. The most important differences in the objective architectural features observed between the Mostofi grade I and II cases were the number of nuclei per gland and their distance from the glandular center. Significant differences were also noted in gland size and the variation in gland size. The Mostofi grades were also significantly different in terms of quantitative high-resolution features measuring nuclear size and its variation, total nuclear DNA content and the proportion of very aneuploid nuclei. There was a fairly good agreement between many of the subjective diagnostic clues and their corresponding quantitative architectural and nuclear features. This work (1) significantly extended the capabilities of our PC-based microphotometer system to analyze glandular tissue specimens, (2) provided insight into the objective bases for the expert diagnosis of adenocarcinomas of the prostate and (3) gave preliminary evidence of the ability of quantitative architectural features and high-resolution cytometric features to discriminate between the major diagnostic categories of these lesions.     

Standardized AgNOR analysis as a prognostic parameter in endometrial carcinoma, endometrioid type

OBJECTIVE: To evaluate interobserver reproducibility of histologic grade in endometrial adenocarcinomas of endometrioid type (EC), to assess the relationships between nuclear grade and the amount of argyrophilic nucleolar organizer region (AgNOR) proteins and to determine the prognostic value of AgNOR proteins and the main clinicopathologic parameters. STUDY DESIGN: Architectural and nuclear grading were independently assessed by two pathologists in 64 formalin-fixed, paraffin-embedded surgical samples of EC obtained from an equal number of patients (age range, 38-84 years; mean, 63.5). Interobserver agreement was determined using the kappa statistic; discrepant cases were reviewed, and a consensus was reached. Standardized AgNOR analysis was performed according to the guidelines of the Committee on AgNOR Quantification, measuring the mean area of AgNORs per nucleus (NORA) by an image analysis system. RESULTS: The kappa values for interobserver agreement were substantial for architectural grading and moderate for nuclear grading. When NORA values were compared to the nuclear grade assessed by different observers, the most significant linear correlation (r = .713, P < .001) was found for the nuclear assessment obtained by consensus of the two pathologists. Moreover, statistical analysis allowed discrimination of architectural grade 1 from grade 2 and 3 EC. By the Kaplan-Meier method, the prognosis was worse for patients with higher NORA values (> 4.212 micron 2), while, by Cox multivariate analysis, AgNOR quantity emerged as an independent prognostic variable. CONCLUSION: Use of standardized AgNOR analysis may be an additional and objective tool in the assessment of histologic grade as well as a reliable method of determining prognosis in EC.     

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.