title: Automated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts.
abstract: Nasopharyngeal carcinoma is one of the malignant neoplasm with high incidence in China and south-east Asia. Ki-67 protein is strictly associated with cell proliferation and malignant degree. Cells with higher Ki-67 expression are always sensitive to chemotherapy and radiotherapy, the assessment of which is beneficial to NPC treatment. It is still challenging to automatically analyze immunohistochemical Ki-67 staining nasopharyngeal carcinoma images due to the uneven color distributions in different cell types. In order to solve the problem, an automated image processing pipeline based on clustering of local correlation features is proposed in this paper. Unlike traditional morphology-based methods, our algorithm segments cells by classifying image pixels on the basis of local pixel correlations from particularly selected color spaces, then characterizes cells with a set of grading criteria for the reference of pathological analysis. Experimental results showed high accuracy and robustness in nucleus segmentation despite image data variance. Quantitative indicators obtained in this essay provide a reliable evidence for the analysis of Ki-67 staining nasopharyngeal carcinoma microscopic images, which would be helpful in relevant histopathological researches.
authors: School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, Fujian 350117, China.
authors: Peng
authors: P
authors: Shi
authors: The Graduate School, Fujian Medical University, Fuzhou, Fujian 350004, China.
authors: Jing
authors: J
authors: Zhong
authors: Department of Radiation Oncology, Laboratory of Radiation Biology, First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian 350005, China.
authors: Jinsheng
authors: J
authors: Hong
authors: Department of Pathology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian 350014, China.
authors: Rongfang
authors: R
authors: Huang
authors: School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, Fujian 350117, China.
authors: Kaijun
authors: K
authors: Wang
authors: The Graduate School, Fujian Medical University, Fuzhou, Fujian 350004, China.|Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian 350014, China.
authors: Yunbin
authors: Y
authors: Chen
mesh_terms: D000818:Animals; D002277:Carcinoma / Q000378:metabolism* / Q000473:pathology*; D064593:Heterografts; D006801:Humans; D007150:Immunohistochemistry; D019394:Ki-67 Antigen / Q000096:biosynthesis*; D051379:Mice; D000077274:Nasopharyngeal Carcinoma; D009303:Nasopharyngeal Neoplasms / Q000378:metabolism* / Q000473:pathology*; D009363:Neoplasm Proteins / Q000096:biosynthesis*; D009368:Neoplasm Transplantation
chemical_list: D019394:Ki-67 Antigen; D009363:Neoplasm Proteins