Level: Beginner
In human pathology, intraductal proliferative lesions of the breast have been divided into three categories conventionally, based on their cytological and architectural features: benign usual ductal hyperplasia (UDH) and atypical ductal hyperplasia (ADH) to ductal carcinoma in situ (DCIS), precursor or noninvasive forms. The author recently found the difference in cellular architecture between UDH and ADH/DCIS, using computerized image analysis and minimum spanning tree method of graph theory.
In human pathology, intraductal proliferative lesions have traditionally been classified into three disease types based on cytological and histoarchitectural characteristics: benign usual ductal hyperplasia (UDH), atypical ductal hyperplasia (ADH) as a precancerous lesion or early cancer, and ductal carcinoma in situ (DCIS). These types have been determined empirically and intuitively by pathologists through microscopic observation, but the author has recently used computer image analysis and the minimal tree method in graph theory to find objective differences in cytoarchitecture between UDH and ADH/DCIS.
Former lecturer at Tohoku University (Institute of Development, Aging and Cancer, Department of Pathological Organ Structure Research). Doctor of Medicine. Former Ministry of Education overseas research fellow (Medicine) (Aarhus University, Kingdom of Denmark).
In the field of human pathology, I have studied the pathogenesis of diseases using quantitative morphology that applies geometric probability theory and integral geometry, digital image analysis, and multivariate statistical analysis. I have published research papers on liver cirrhosis, early cancer occurring in alveolar epithelium, pancreatic duct epithelium, and endometrium, as well as their precursor lesions and liver metastasis ( https://pubmed.ncbi.nlm.nih.gov/7804428/ , https://pubmed.ncbi.nlm.nih.gov/7804429/ , https://pubmed.ncbi.nlm.nih.gov/8402446/ , https://pubmed.ncbi.nlm.nih.gov/8135625/ , https://pubmed.ncbi.nlm.nih.gov/7840839/ , https://pubmed.ncbi.nlm.nih.gov/10560494/ ). He is interested in mathematical methods that can be applied to the analysis of cancer development and its tissue diagnosis, with a particular interest in numerical classification methods such as cluster analysis and discriminant analysis. As for statistical analysis platforms, he has used Fortran statistical subroutines on a mainframe, SPSS and SYSTAT on a PC, and has been a user of JMP since version 8.
