این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Pathology، جلد ۶، شماره ۲، صفحات ۶۳-۶۷

عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله

عنوان انگلیسی Fractal Study on Nuclear Boundary of Cancer Cells in Urinary Smears
چکیده انگلیسی مقاله Background & Objectives: Cancer is a serious problem for human being and is becoming a serious problem day-by-day .A prerequisite for any therapeutic modality is early diagnosis. Automated cancer diagnosis by automatic image feature extraction procedures can be used as a feature extraction in the field of fractal dimension. The aim of this survey was to introduce a quantitative and objective mathematical method for pinpointing the differences between malignant and non –malignant epithelial cells in urine cytology by the use of software analysis. Materials & Methods: Forty-one positive urine cytology and 33 negative subjects from Pathology Department of Imam Khomeini Hospital, Urmia, Iran (2003-2007) were selected at random. Digitalized images were prepared by the use of objective 100X (a digital video head) which subsequently were processed by the BeonitTM software version 1.3 (Tru Soft International inc. USA) to measure fractal dimension of nuclear boundaries. Results: Findings revealed statistically significant differences between fractal dimensions of nuclear boundaries of cancerous and non-cancerous smears (P=0.001). Study had selected a cut-off point to (1.732 ± 0.006) to discriminate malignant and non-malignant epithelial cells in urinary smears. Conclusion: Based on diagnostic accuracy measures (sensitivity and specificity), probability of disease measures (predictive value of a positive and negative test results), and likelihood ratio of positive and negative tests, it seems fractal dimension of nuclear cell boundaries for urinary smears can be used as a feature extraction in the field of automated cancer diagnosis.
کلیدواژه‌های انگلیسی مقاله

نویسندگان مقاله فرحناز نوروزی نیا |
dept. of pathology, urmia university of medical sciences, urmia, iran
سازمان اصلی تایید شده: دانشگاه علوم پزشکی ارومیه (Urmia university of medical sciences)

غلامرضا بهجتی |
dept. of pathology, isfahan legal medicine organization, isfahan, iran
سازمان اصلی تایید شده: دانشگاه علوم پزشکی ارومیه (Urmia university of medical sciences)

شهرام شهابی |
dept. of immunology, urmia university of medical sciences, urmia, iran
سازمان اصلی تایید شده: دانشگاه علوم پزشکی ارومیه (Urmia university of medical sciences)

حمیدرضا فرخ اسلاملو | farrokh islamlo
dept. of public health, urmia university of medical sciences, urmia, iran
سازمان اصلی تایید شده: دانشگاه علوم پزشکی ارومیه (Urmia university of medical sciences)

زهیر محمد حسن | mohammad hassan
dept. of immunology, tarbiat modares university, tehran, iran
سازمان اصلی تایید شده: دانشگاه علوم پزشکی ارومیه (Urmia university of medical sciences)

بهروز ایلخانی زاده |
dept. of pathology, urmia university of medical sciences, urmia, iran
سازمان اصلی تایید شده: دانشگاه تربیت مدرس (Tarbiat modares university)


نشانی اینترنتی http://ijp.iranpath.org/article_8547_68490472b00a147e7d910f7c4258dc47.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده 1
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات