Quantitative Analysis of Stereological Parameters on Tumor Cell Nuclei in Gliomas with Various Histological Grading

Similar documents
Anaplastic Pilocytic Astrocytoma: The fusion of good and bad

Nuclear morphometric study of Non- Hodgkin's Lymphoma (NHL)

Morphological features and genetic alterations

Evaluation of the Squash Smear Technique in the Rapid Diagnosis of Central Nervous System Tumors: A Cytomorphological Study

Histopathological Study and Categorisation of Brain Tumors

Correlation between estrogen receptor β expression and the curative effect of endocrine therapy in breast cancer patients

Cytological grading of breast carcinoma with histological correlation

CNS pathology Third year medical students. Dr Heyam Awad 2018 Lecture 12: CNS tumours 2/3

NUCLEAR MORPHOMETRY IN RELATION TO METASTASES IN CANINE SPONTANEOUS CUTANEOUS SQUAMOUS CELL CARCINOMAS

Case Report A Rare Cutaneous Adnexal Tumor: Malignant Proliferating Trichilemmal Tumor

The New WHO Classification and the Role of Integrated Molecular Profiling in the Diagnosis of Malignant Gliomas

Survival of High Grade Glioma Patients Treated by Three Radiation Schedules with Chemotherapy: A Retrospective Comparative Study

Cellular Dyscohesion in Fine-Needle Aspiration of Breast Carcinoma Prognostic Indicator for Axillary Lymph Node Metastases?

Correlation between expression and significance of δ-catenin, CD31, and VEGF of non-small cell lung cancer

J of Evolution of Med and Dent Sci/ eissn , pissn / Vol. 3/ Issue 19/May 12, 2014 Page 5307

Thyroid Nodules: Understanding FNA Cytology (The Bethesda System for Reporting of Thyroid Cytopathology) Shamlal Mangray, MB, BS

CNS TUMORS. D r. Ali Eltayb ( U. of Omdurman. I ). M. Path (U. of Alexandria)

Expression of Thyroid Transcription Factor-1 (TTF-1) in Lung Carcinomas and Its Correlations with Apoptosis and Angiogenesis

Disclosures. Parathyroid Pathology. Objectives. The normal parathyroid 11/10/2012

Study on the expression of MMP-9 and NF-κB proteins in epithelial ovarian cancer tissue and their clinical value

Cytological Sub-classification of Lung Cancer: Morphologic and Molecular Characteristics. Mercè Jordà, University of Miami

PROTOCOL SENTINEL NODE BIOPSY (NON OPERATIVE) BREAST CANCER - PATHOLOGY ASSESSMENT

PROCARBAZINE, lomustine, and vincristine (PCV) is

Presentation material is for education purposes only. All rights reserved URMC Radiology Page 1 of 98

Original Article Relation between qualitative and quantitative 3-dimensional ultrasound and ki-67 expression in breast cancer

Characterization and significance of MUC1 and c-myc expression in elderly patients with papillary thyroid carcinoma

Original Article Reduced expression of mir-506 in glioma is associated with advanced tumor progression and unfavorable prognosis

Neoplasia 2018 Lecture 2. Dr Heyam Awad MD, FRCPath

Characteristics and prognostic factors of synchronous multiple primary esophageal carcinoma: A report of 52 cases

ROBINSON CYTOLOGICAL GRADING OF BREAST CARCINOMA ON FINE NEEDLE ASPIRATION CYTOLOGY- AN OVERVIEW

MUSCLE - INVASIVE AND METASTATIC BLADDER CANCER

Supplementary Information

21/03/2017. Disclosure. Practice Changing Articles in Neuro Oncology for 2016/17. Gliomas. Objectives. Gliomas. No conflicts to declare

General: Brain tumors are lesions that have mass effect distorting the normal tissue and often result in increased intracranial pressure.

Oncocytic carcinoma: A rare malignancy of the parotid gland

SUPPLEMENTARY INFORMATION

A 53 year-old woman with a lung mass, right hilar mass and mediastinal adenopathy.

International Journal of Pharma and Bio Sciences CHROMOPHOBE VARIANT OF RENAL CELL CARCINOMA MASQUARDING AS RENAL ONCOCYTOMA ON CYTOLOGY.

Cytological evaluation of effusion fluid with cell block technique and cytology smears among Sudanese patients

Detection and Clinical Significance of Lymph Node Micrometastasis in Gastric Cardia Adenocarcinoma

Morphometric Characterization of Small Cell Lymphocytic Lymphoma

Diplomate of the American Board of Pathology in Anatomic and Clinical Pathology

Applications of IHC. Determination of the primary site in metastatic tumors of unknown origin

CACA. Original Article. Wei 鄄 Ying Yue 1,2*, Ke Sai 1,2*, Qiu 鄄 Liang Wu 1,3, Yun 鄄 Fei Xia 1,4, Su 鄄 Huan Yu 5 and Zhong 鄄 Ping Chen 1,2

Anna Maria Buccoliero Department of Biomedicine, Careggi Hospital Florence

Case Presentation. Maha Akkawi, MD, Fatima Obeidat, MD, Tariq Aladily, MD. Department of Pathology Jordan University Hospital Amman, Jordan

Original Article CREPT expression correlates with esophageal squamous cell carcinoma histological grade and clinical outcome

Malignant Transformation of Craniopharyngioma without Radiation Therapy: Case Report and Review of the Literature

Paget's Disease of the Breast: Clinical Analysis of 45 Patients

American Journal of. Medical Case Reports. CAM5.2 Expression in Metastatic Tumours of CNS: A Diagnostic Tool

Rare Presentation Of Adenoidcystic Carcinoma Of External Auditory Canal With Subcutaneous Metastasis In Temporal Region

Sarcomatoid (spindle cell) carcinoma of the cricopharynx presenting as dysphagia

Grading of astrocytomas using a Quantimet 720 image-analysing computer

ORIGINAL ARTICLE Nuclear morphometry and texture analysis on cytological smears of thyroid neoplasms: a study of 50 cases

TBSRTC 1- Probabilistic approach and Relationship to Clinical Algorithms

ACCME/Disclosures. Diagnosing Mesothelioma in Limited Tissue Samples. Papanicolaou Society of Cytopathology Companion Meeting March 12 th, 2016

Original Research Article. Mohd Iqbal Lone 1, Tazeen Jeelani 1 *, Gazanfar Rashid 1, Nusrat Bashir 2, Dekyong Angmo 3

Cerebral Parenchymal Lesions: I. Metastatic Neoplasms

Five Most Common Problems in Surgical Neuropathology

Differentiation of Tumors with Specific Red Cell Adherence (SRCA) test

BAH1 - Primary Glioblastoma

Contemporary Management of Glioblastoma

Association between downexpression of mir-1301 and poor prognosis in patients with glioma

Diagnosis of a granular cell tumour at the abdominal wall using fine needle aspiration cytology and histology: Case report

Dr. Issraa Ali Hussein

, , 2011 HODGKIN LYMPHOMA

ACCME/Disclosures. Cribriform Lesions of the Prostate. Case

CPC 4 Breast Cancer. Rochelle Harwood, a 35 year old sales assistant, presents to her GP because she has noticed a painless lump in her left breast.

Post Neoadjuvant therapy: issues in interpretation

High Expression of Forkhead Box Protein C2 is Related to Poor Prognosis in Human Gliomas

Expression and significance of Bmi-1 and Ki67 in colorectal carcinoma tissues

Implications of Progesterone Receptor Status for the Biology and Prognosis of Breast Cancers

Quantitative analysis of mast cells in invasive ductal carcinoma

Applying Tissue Phenomics to Colorectal Clinical Questions

International Society of Gynecological Pathologists Symposium 2007

Study of Fine Needle Aspiration Cytology of Breast Lump: Correlation of Cytologically Malignant Cases with Their Histological Findings

Corporate Medical Policy

Prognostic significance of nemo like kinase in nasopharyngeal carcinoma

Original Article. Spontaneous Healing of Breast Cancer

Reporting of Breast Cancer Do s and Don ts

Tumors of the Nervous System

Case: The patient is a 62 year old woman with a history of renal cell carcinoma that was removed years ago. A 2.4 cm liver mass was found on CT

Objectives. Atypical Glandular Cells. Atypical Endocervical Cells. Reactive Endocervical Cells

Abstract. Anb Med J Vol.11 No.1; 62-68

Original Article Clinical significance of SOX2 and snail expression in esophageal squamous cell carcinoma

Cytyc Corporation - Case Presentation Archive - March 2002

Isolated Juvenile Xanthogranuloma in Thoracic Spine: Intraoperative Cytological Diagnosis of a Rare Presentation

DIAGNOSTIC DILEMMA. Case Reports Clinical history. Materials and Methods

Problems in staging breast carcinoma

monotonous, stippled, round, smoothcontoured nuclei and scanty acidophilic or

Classification of Diffuse Gliomas: Progress, Pearls and Pitfalls. Rob Macaulay Neuropathologist, MCC October 21, 2017

FORELIMB SWEAT GLAND ADENOCARCINOMA IN A CAT

Characterization of morphologically benign biologically aggressive meningiomas

Hiroyuki Hanakawa, Nobuya Monden, Kaori Hashimoto, Aiko Oka, Isao Nozaki, Norihiro Teramoto, Susumu Kawamura

Usefulness Of Touch Preparation Cytology In Postmortem Diagnosis: A Study From The University Hospital Of The West Indies

Financial disclosures

University Journal of Pre and Para Clinical Sciences

SELECTED DILEMMAS IN RESPIRATORY CYTOPATHOLOGY (2 CASES)

ALAEZI CM 1 *, ADISA JO 2, OKOROCHI EC 3 and OKECHI OO 4

Transcription:

TICAL and QUANTITATIVE CYTOPATHOLOGY and AQCHANALY HISTOPATHOLOGY ARTICLES An Official Periodical of The International Academy of Cytology and the Italian Group of Uropathology Quantitative Analysis of Stereological Parameters on Tumor Cell Nuclei in Gliomas with Various Histological Grading Bin-cai Pan, M.Phil., and Hong Shen, Ph.D. OBJECTIVE: To analyze the morphological characteristics of glioma tumor nuclei and provide objective stereological parameters for the precise histological grading of gliomas. STUDY DESIGN: Ninety paraffin-embedded samples of glioma with various histological grading were collected. Routine hematoxylin and eosin staining was performed on each sample. Morphological parameters of the nucleus and the cellular density parameters were evaluated in each sample by computer image analysis technology on random 4-10 fields under the microscope. The relationship between histological grading and related parameters was statis tically analyzed. RESULTS: The nuclear morphological parameters (area, major axis, minor axis, perimeter) of tumor cells were significantly increased in gliomas with higher histological grading (p<0.001). There was significant difference in number density of tumor cells between low- and high-grade gliomas (p<0.001). However, there was no correlation found among the grade II IV glioma tissues in cellular number density (p>0.05). CONCLUSION: Stereological morphological and density features of glioma cells are important diagnostic parameters for histological grading of tumors and might help for accurate diagnosis of gliomas. (Anal Quant Cytopathol Histpathol 2017;39:187 191) Keywords: brain glioma; density parameter; glioma; histological grading; morphological parameters; stereology. Histological grading of gliomas is an independent prognostic factor of important value for the choice of treatment plan and the evaluation of curative effect. 1-3 According to the World Health Organization (WHO) criteria, 4 different grades are applied to various gliomas based on histological features, such as cellularity, mitotic activity, blood vessel From the Departments of Pathology, Nan Fang Hospital, and School of Basic Medical Sciences, Southern Medical University, Guangzhou, and Guangdong Tongjiang Hospital, Foshan, China. Dr. Pan is Pathologist and Senior Pathology Student, Departments of Pathology, Nan Fang Hospital, and School of Basic Medical Sciences, Southern Medical University, and Guangdong Tongjiang Hospital. Dr. Shen is Professor, Department of Pathology, Nan Fang Hospital, and School of Basic Medical Sciences, Southern Medical University. Supported by the National Science Foundation of China (81271729). Address correspondence to: Hong Shen, Ph.D., Department of Pathology, Nan Fang Hospital, and School of Basic Medical Sciences, Southern Medical Univer sity, 1023, Sha-Tai South Road, Baiyun District, Guangzhou 510515, China (shenhong2010168@163.com). Financial Disclosure: The authors have no connection to any companies or products mentioned in this article. 0884-6812/17/3904-0187/$18.00/0 Science Printers and Publishers, Inc. 187

188 Pan and Shen proliferation, and necrosis. WHO grade I or II usually is applied to low-grade gliomas with low proliferative potential. WHO grade III or IV designation is applied to cytologically malignant, mitotically active neoplasms often associated with rapid progression and poor outcome. 4 However, the distinct disadvantage of the diagnostic classification system is that it was based only on the experience of descriptive diagnosis, without quantitative standard. In addition, the grading system was generally applicable to the comprehensive assessment of total tumor resection and was not suitable for the more extensive preoperative biopsy or puncture of small specimens because these small samples of tumor tissue were limited in number and could not be evaluated on the vascular, necrosis, etc. In this case, it was very important to observe the morphological and structural characteristics of the cell by observing the morphological structure of the glioma. Materials and Methods Specimens of Gliomas Archival formalin-fixed, paraffin-embedded specimens from 90 Chinese patients who underwent surgery at Guangdong Tongjiang Hospital between 2010 and 2015 were recruited. There were 63 males and 27 females, with average age of 45 years (range, 4 67 years). None of the patients received adjuvant radiotherapy or chemotherapy before surgical treatment. According to the 2007 WHO histological grading criteria of gliomas, 5 10 cases were WHO grade I, 25 cases were grade II, 30 cases were grade III, and 25 cases were grade IV. Each specimen was sectioned with 1 4 paraffin blocks; 4-um-thick sections were stained with hematoxylin and eosin. Experimental Methods Data acquisition and image analysis were performed by optical microscope (Zeiss Axio Lab. A1), micro camera (Champion Image MD-300), and image analysis software (Image-Pro Plus 6.0). First the test software was calibrated using the objective micrometer, and then hematoxylin and eosin stained sections were placed under the optical microscope objective lens with 40 magnification to capture the microscopical fields randomly. Four to 10 microscopical fields for each sample were taken by the IMAGE MD-300 CHAMPION microscopic imaging system and input into the computer. Image- Pro Plus 6 image analysis software was used to measure the morphological parameters of the nu- clei of different grades of gliomas. The morphological parameters included nuclear area, long and short axis of the nucleus, and nuclear perimeter. 6,7 The cell number in these microscopical fields under the objective lens with 40 magnification was counted, and then cell number density and nuclear area density were calculated, respectively. In this study 894 cells of grade I glioma, 683 of grade II, 667 of grade III, and 639 of grade IV were identified and analyzed. Statistical Analysis SPSS 13.0 statistical software was used for statistical analysis. All measured values were expressed as mean±standard deviation (X±S). The test results of different groups were analyzed by rank sum test of multiple independent samples, the significance level was p<0.05. Results Differences in the Morphological Parameters of the Nucleus of Gliomas The nuclear parameters of tumor cells showed significant differences among the gliomas with various histological grading. Low-grade gliomas (WHO grade I II) were significantly lower than those of high-grade gliomas (WHO grade III IV) in nuclear axis, nuclear area, and perimeter. However, there was no significant difference in long axis of nuclei between grade I and II tumors (p> 0.05), regardless of area or perimeter. In addition to WHO grade I and II tumor cell nucleus long axis showing no significant difference, the other 2 groups were statistically significant (p<0.05), suggesting that low-grade gliomas usually had smaller nuclei. It might be an important stereological feature to identify different histological grade of gliomas. Another feature was variation of nuclear morphology of gliomas. The variability of nuclear parameters in low-grade gliomas was much smaller than that in high-grade gliomas, which suggested that there was obviously varied nuclear size of tumor cells in high-grade gliomas. This might be responsible for cell pleomorphism of tumor cells in high-grade gliomas (Table I) (Figure 1). Differences in Density Parameters of Glioma Cells Although there was overall significant difference in cell densities of different grades of gliomas (Table II), there was no difference among highergrade gliomas (WHO grade II IV) (Figure 2). This suggested that WHO grade I tumors usually pre-

Tumor Cell Nuclei in Gliomas Volume 39, Number 4/August 2017 189 Table I Relationship Between Histological Grading of Gliomas and Morphological Parameters of Nuclei Nuclear morphological parameters Histological grade Cell number Nuclear area WHO grade I 894 WHO grade II 683 WHO grade III 667 WHO grade IV 639 26.53± 3.86 31.08± 3.07 50.09± 6.36 71.75± 0.28 Nuclear axis (major) Nuclear axis (minor) Nuclear perimeter 7.37 ± 2.72 7.32 ± 2.49 9.67 ± 3.31 11.83 ± 0.91 4.52 ± 1.53 4.97 ± 1.49 6.12 ± 2.07 6.96 ± 0.40 19.07 ± 6.72 20.60 ± 6.52 29.60 ± 9.20 35.85 ± 1.64 *Kruskal-Wallis H rank sum test. sented the smallest cell density; however, there was no significant difference in cellularity observed in higher-grade gliomas. Moreover, there were sig nificant differences in the nuclear area densities of different grades of glioma cells, and there also were significant differences among tumors with higher grade, suggesting that the nuclear area density could be used as a critical diagnostic clue to determine the accurate histological grading of gliomas. Discussion Glioma is the most common intracranial tumor, accounting for about 40% of all central nervous system tumors.8 WHO criteria of glioma histologi cal grading are mainly based on the following 4 aspects: (1) cellularity and polymorphism of tumor cells, (2) mitotic activity, (3) the proliferation of vascular endothelial cells, and (4) tumor necrosis.9 This classification designation is generally applied to total resection of tumors but not to partial resection of tumors or even small biopsies because it is difficult to accurately assess histological grade by the above-mentioned characteristics due to lim ited observation. Therefore, it is necessary to find some certain diagnostic parameters of the glioma tumor cell itself to assist in tissue grading. With the development and popularization of computer medical image processing and analysis technolo gy, the stereological analysis of medical image plays an increasingly important role in assisting clinicopathological diagnosis.10,11 In this study the morphological and structural parameters of grade I IV glioma cells were quantitatively analyzed by computer-based medical image analysis. The stereological parameters of glioma cells with various Figure 1 The stereological parameters of glioma tumor cells with various histological grading. (A) WHO grade I gliomas, (B) WHO grade II gliomas, (C) WHO grade III gliomas, and (D) WHO grade IV tumors were evaluated by Plus Image-Pro 6 image analysis software. This figure showed that there was a significant difference in the nuclear density and nuclear size among gliomas with various histological grading.

190 Pan and Shen Table II Relationship Between Histological Grade and Tumor Cell Density Parameters in Gliomas Cell density parameter Histological Tumor cell Nuclear area grade number density density WHO grade I 45.27±17.36 0.0013±0.00073 WHO grade II 85.11±42.96 0.0015±0.00105 WHO grade III 126.33±42.12 0.0024±0.00279 WHO grade IV 90.63±26.96 0.0021±0.00371 p<0.001* p<0.001* *Kruskal-Wallis H rank sum test. histological grading were evaluated in the histological grading diagnosis. Tumor cell atypia is mainly reflected in the nuclear atypia. The characteristics of the glioma cell nucleus are also important to determine the degree of tumor malignancy histological features. In this study the morphological and density parameters of glioma cells were quantitatively determined by stereological methods. Morphological parameters reflect the shape features of tumor cell nuclei. 12 From the measurement results of glioma nuclei, the morphological parameters increased with the increase of grade, and the degree of variation of morphological parameters was also increased, suggesting that low-grade tumor cells generally had smaller nuclei and more uniform size. With the increase in grade, gliomas gradually appeared mononuclear or with multinucleated giant cells. The cells not only displayed increased atypia and morphology, but bizarre tumor cells, mixed with lower grade of tumor cells, showed more obvious polymorphic characteristics. In grade I II gli- omas it was also observed that some cases had considerable morphological parameter variation, probably due to the presence of the multinucleated tumor cells in pilocytic astrocytoma of grade I and the pleomorphic tumor cells in pleomorphic xanthoastrocytoma of grade II. The variation of morphological parameters in glioblastomas, corresponding to WHO grade IV, is smallest in random analysis for different histological variants. It seems inconsistent with their microscopic appearance. Since the glioblastomas usually are composed of large or giant tumor cells with bizarre nuclear configuration and obvious nucleoli, these common morphological features might be responsible for minimal variation in morphological parameter evaluation of glioblastomas when the different subtypes of gliomas were randomly analyzed by stereological methods. From the proportion of the major axis and the minor axis of the nucleus, we could see that the major/minor axis of the grade I IV glioma cells were >1.5, suggesting that most tumor cells were elliptical or irregular, rather than round (major/minor axis ratio is approximately 1). In brain tumors the tumor cell shape of central neurocytoma and extraventricular neurocytoma were approximately circular, so the increased morphological parameter of the major/minor axis ratio was helpful for the differentiation of glioma and neurogenic tumors. The density parameter is a measure of the number of tumor cell nuclei, which reflects the volume of the tumor cell in a certain space or the size of the surface area. 13 From Table II we could see that the density of grade I gliomas was the lowest, but the number density of grade II IV tumor cells did Figure 2 Cell number and nuclear density in gliomas with different histological grading. There was a significant difference in the cell number density and nuclear density among gliomas with various histological grading. *p<0.05.

Volume 39, Number 4/August 2017 Tumor Cell Nuclei in Gliomas 191 not change significantly. This phenomenon was consistent with the characteristics of practice, indeed part of grade II gliomas, such as pleomorphic xanthoastrocytoma, oligodendroglioma, and cellular ependymocytoma, had a higher cell density but lacked other high-level features (mitotic increase, vascular proliferation, and necrosis). Therefore, the number of single cell density parameters could not be used as an assessment of glioma histological grading index. The nuclear area density reflected the ratio of the area of the nucleus to the total area of the cell: the higher the ratio, the larger the nucleus was. 14 From the area density of glioma cells, the higher the grade the greater the value, suggesting that the nucleus of the highgrade glioma was significantly larger than the low-grade tumor cells. It was well known that the increase of nuclei and the increase of atypia were morphological features of polyploid, aneuploid, or rapid growth of tumor cells, 15-17 which reflected the ability of proliferation, and metabolism of tumor cells was increased. This feature was consistent with the biological behavior of high-grade gliomas. Therefore, the parameter of nuclear area density was an important index to evaluate the histological grade of gliomas. In our study, the area density of grade IV gliomas was slightly lower than that of grade III, which we considered to be due to the cases including abundant cytoplasm giant cell glioblastoma and small cell glioblastoma. Quantitative analysis of morphological parameters and density parameters of gliomas by image analysis system has overcome the subjectivity of traditional descriptive diagnosis, and it may be helpful to improve the accuracy of the classification and grading of glioma, 18 especially for patients who had lost surgical opportunities. Those patients might benefit from valuable histological information and choosing appropriate adjuvant radio- and/or chemotherapy regimens to prolong the survival time based on the precise histological grading. Although quantitative analysis of glioma morphological parameters and density parameters as glioma histological grade still has some limitations and one-sidedness, it should be an effective, objective, and necessary supplement to the traditional histological diagnosis system. References 1. Warren KE: Diffuse intrinsic pontine glioma: Poised for progress. Front Oncol 2012;2:205-211 2. Gao X, McDonald JT, Hlatky L, Enderling H: Acute and fractionated irradiation differentially modulate glioma stem cell division kinetics. Cancer Res 2013;73:1481-1490 3. Argyriou AA, Antonacopoulou A, Iconomou G, Kalofonos HP: Treatment options for malignant gliomas, emphasizing towards new molecularly targeted therapies. Crit Rev Oncol Hematol 2009;69:199-210 4. Shaw RJ: LKB1and AMP-activated protein kinase control of mtor signaling and growth. Acta physiol (Oxf) 2009;196: 65-80 5. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, Burger PC, Jouvet A, Scheithauer BW, Kleihues P: The 2007 WHO classification of tumours of the central nervous system. Acta Neuropathol 2007;114:97-109 6. Lan YH, Shen H, Lu YD, Deng M: Quanti tative analysis on morphological structure of exfoliated cells in bladder urothelium carcinoma by papanicolaou staining. J Chin Exp Pathol 2012;28:54-56 7. Zhang XD, Shen H: Quantitative study on three-dimensional nuclear structure of the lung carcinomas by stereology method(i). Chin J Stereol Image Anal 2004;9:14-20 8. Dolecek TA, Propp JM, Stroup NE, Kruchko C: CBTRUS statistical report: Primary brain and central nervous system tumors diagnosed in the United States in 2005-2009. Neuro Oncol 2013;15:646-647 9. Kleihues P, Burger PC, Scheithauer BU: The new WHO classification of brain tumors. Brain Pathol 1993;3:255-268 10. Xiang L, Stallmach T, Gebbers JO: Image cytometric DNA analysis of adrenocortical neoplasms as a prognostic parameter: A clinico-pathologic study of 13 patients. Anal Cell Pathol 1996;11:1-11 11. Lu X: Quantitative pathologic image analysis and the control of its measuring errors. Chin J Stereol Image Anal 2002;7:58-62 12. Li JS, Xu XZ: Pathological grading and prognosis of the nuclear morphometrics of astrocytoma. Med J Chin Peoples Liberation Army 1993;18:167-170 13. Shen H, Shen ZY: Density parameter. In Practical Biological Stereology Technique. Edited by R Shi. Guangzhou, China, Sun Yat-sen University Press, 1991, pp 64-66 14. Giangaspero F: The glioblastoma multiform and the metastatic carcinoma: A morphometric study of nuclear size and shape. Appl Pathol 1984;2:160-164 15. Wolberg WH, Street WN, Mangasarian OL: Computerderived nuclear features compared with axillary lymph node status for breast carcinoma prognosis. Cancer 1997;81:172-179 16. Ikeguehi M, Cai J, Oka S, Gomyou Y, Tsujitani S, Maeta M, Kaibara N: Nuclear profiles of cancer cells reveal the metastasis potential gastric cancer. J Pathol 2000;192:19-25 17. Carvalho HA, Saldiva PH, Takagaki TY, Capelozzi VL: Stereological estimates of the nuclear/cytoplasmic ratio and star volume on fibreoptic biopsies are of prognostic value for survival in a preliminary study of advance squamous cell carcinoma of the lung. Histopathol 1997;31:420-429 18. Shen H, Zhang YX: Current status and prospect of quantitative diagnosis of clinical cytology. J Chin Exp Pathol 1991; 7:73-74