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Computer-Aided Cytogenetic Method of Cancer Diagnosis
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Authors: Roman I. Andrushkiw (New Jersey Institute of Technology, Newark, NJ), N. V. Boroday (R.E.Kavetsky Inst. of Experimental Pathology, Oncology and Radiology, N.A.S.U, Kyiv, Ukraine), D. A. Klyushin and Y. I. Petunin (Kyiv National Taras Shevchenko Univ.) 
Book Description:
This book presents a precise description of a new method and technology for early diagnosis of breast cancer and cancer of the thyroid gland. The method employs mathematical/statistical techniques of pattern recognition and state of the art results in oncomorphology and cytometry to detect and identify malignancy-associated DNA changes in patient's buccal epithelium, which provide early signs of the disease before other symptoms, such as the formation of a tumor, become evident. The method is noninvasive and requiring a scrape of buccal epithelium from the patient's oral cavity for analysis. The results of recent clinical trials show that the sensitivity and specificity of the method compares favorably with other diagnostic methods currently in use.
Conventional methods, such as mammography and ultrasound, are important tools in screening patients for cancer. However, their reliability is limited (see, for example, "Mammogram Team Learns from its Errors", New York Times, page 1, June 28, 2002). Thus the problem of improving the reliability of noninvasive methods for early diagnosis of cancer has been the subject of intense research in recent years. The present book is the first of its kind on the topic of computer-aided cytogenetic method of cancer diagnosis and presents a new approach to this problem.
The book is divided into four chapters and consists of approximately 300 pages and 40 figures. It is intended for graduate students, researchers and professionals in the field of oncology, medical diagnostics and cancer research.

Table of Contents:
Preface

Acknowledgement

Part 1. Introduction, pp. 1-3;

Part 2. Biomedical Background of Cytogenetic Diagnostic Method in Oncology, pp. 5-44;

Chapter 2.1. Morphological Properties of Buccal Epithelium and their Changes under Pathological Processes

Chapter 2.2. Structural Organization of Genetic Material in Interphase Nuclei

Chapter 2.3. Computer-Aided Diagnosis of Tumors: Principles and Techniques

Part 3. Statistical and Geometrical Methods of Pattern Recognition in the Diagnosis of Cancer, pp. 45-234;

Chapter 3.1. Lattice Model of the Theory of Probability

Chapter 3.2. Random Values and the Main Inequalities in the Theory of Probability

Chapter 3.3. General Population and Sampling Method

Chapter 3.4. Elements of Variational Statistics

Chapter 3.5. A Generalization of the Bernoulli Model Occurring in Order Statistics

Chapter 3.6. Nonparametric Population Equivalence Test Based on Proximity Measure Between Samples

Chapter 3.7. Statistical Tests in the Theory of Pattern Recognition

Chapter 3.8. Confidence Limits for Unknown Probability and Statistical Tests

Chapter 3.9. Pattern Recognition with the Help of Quadratic Discriminant Functions

Part 4. Differential Diagnosis of Malignant Neoplasms and Benign Processes, Based on Malignancy-Associated Changes of DNA in the Nuclei of Buccal Epitheliocytes, pp. 235-294;

Chapter 4.1. Statistical Investigation of Malignancy Associated Changes in Buccal Epithelium in the Case of Breast Cancer

Chapter 4.2. Computer-Aided Diagnosis of Breast Cancer Based on Analysis of Malignancy Associated Changes in Buccal Epithelium

Chapter 4.3. Diagnosis of Breast Cancer by the Modified Nearest Neighbor Recognition Method

Chapter 4.4. Cancer Diagnostic Method Based on Pattern Recognition of DNA Changes in Buccal Epithelium in the Pathology of the Thyroid and Mammary Glands

Index

   Binding: Hardcover
   Pub. Date: 2007
   ISBN: 1-59454-882-X
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Computer-Aided Cytogenetic Method of Cancer Diagnosis