{"title":"A Homology-Based Application to Diagnose Colorectal Adenoma and Early-Stage Cancer.","authors":"Yuhki Yokoyama, Kazuki Kanayama, Miwa Matsuda, Nobuaki Hatori, Taiki Asano, Eiichi Morii, Hirofumi Yamamoto, Kazuaki Nakane","doi":"10.1111/pin.70143","DOIUrl":null,"url":null,"abstract":"<p><p>Homology is a mathematical concept involving two Betti numbers-b<sub>0</sub>, representing the number of independent objects, and b<sub>1</sub>, representing the number of holes formed by surrounding objects-which can be used to quantify the contact degree. We previously demonstrated the use of a homology-based method to diagnose advanced colorectal cancer. It is clinically important to discriminate adenoma, especially high-grade adenoma, and early-stage cancer from non-cancerous tissue; thus, it was of interest to evaluate whether our homology-based method could also diagnose adenoma and early-stage cancer. In the present study, we developed a homology-based application to calculate b<sub>1</sub> values for a region of interest, and used it to analyze normal tissue, adenoma, and early-stage cancer from the colorectum. Area correction was required for proper comparison of b<sub>1</sub> values. We found that area-corrected b<sub>1</sub> values were significantly higher in high-grade adenoma and early-stage cancer, compared to normal tissue. Although there remains a need for further development of the algorithm to discriminate low-grade adenoma and inflammatory regions, our present findings indicate that our homology-based method using Betti numbers can be useful for distinguishing high-grade adenoma and early-stage cancer from normal tissue, as well as advanced colorectal cancer.</p>","PeriodicalId":19806,"journal":{"name":"Pathology International","volume":"76 6","pages":"e70143"},"PeriodicalIF":1.9000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13291539/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathology International","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/pin.70143","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Homology is a mathematical concept involving two Betti numbers-b0, representing the number of independent objects, and b1, representing the number of holes formed by surrounding objects-which can be used to quantify the contact degree. We previously demonstrated the use of a homology-based method to diagnose advanced colorectal cancer. It is clinically important to discriminate adenoma, especially high-grade adenoma, and early-stage cancer from non-cancerous tissue; thus, it was of interest to evaluate whether our homology-based method could also diagnose adenoma and early-stage cancer. In the present study, we developed a homology-based application to calculate b1 values for a region of interest, and used it to analyze normal tissue, adenoma, and early-stage cancer from the colorectum. Area correction was required for proper comparison of b1 values. We found that area-corrected b1 values were significantly higher in high-grade adenoma and early-stage cancer, compared to normal tissue. Although there remains a need for further development of the algorithm to discriminate low-grade adenoma and inflammatory regions, our present findings indicate that our homology-based method using Betti numbers can be useful for distinguishing high-grade adenoma and early-stage cancer from normal tissue, as well as advanced colorectal cancer.
期刊介绍:
Pathology International is the official English journal of the Japanese Society of Pathology, publishing articles of excellence in human and experimental pathology. The Journal focuses on the morphological study of the disease process and/or mechanisms. For human pathology, morphological investigation receives priority but manuscripts describing the result of any ancillary methods (cellular, chemical, immunological and molecular biological) that complement the morphology are accepted. Manuscript on experimental pathology that approach pathologenesis or mechanisms of disease processes are expected to report on the data obtained from models using cellular, biochemical, molecular biological, animal, immunological or other methods in conjunction with morphology. Manuscripts that report data on laboratory medicine (clinical pathology) without significant morphological contribution are not accepted.