title: Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement.
abstract: As a widely used proliferative marker, Ki67 has important impacts on cancer prognosis, especially for breast cancer (BC). However, variations in analytical practice make it difficult for pathologists to manually measure Ki67 index. This study is to establish quantum dots (QDs)-based double imaging of nuclear Ki67 as red signal by QDs-655, cytoplasmic cytokeratin (CK) as yellow signal by QDs-585, and organic dye imaging of cell nucleus as blue signal by 4',6-diamidino-2-phenylindole (DAPI), and to develop a computer-aided automatic method for Ki67 index measurement. The newly developed automatic computerized Ki67 measurement could efficiently recognize and count Ki67-positive cancer cell nuclei with red signals and cancer cell nuclei with blue signals within cancer cell cytoplasmic with yellow signals. Comparisons of computerized Ki67 index, visual Ki67 index, and marked Ki67 index for 30 patients of 90 images with Ki67 ≤ 10% (low grade), 10% < Ki67 < 50% (moderate grade), and Ki67 ≥ 50% (high grade) showed computerized Ki67 counting is better than visual Ki67 counting, especially for Ki67 low and moderate grades. Based on QDs-based double imaging and organic dye imaging on BC tissues, this study successfully developed an automatic computerized Ki67 counting method to measure Ki67 index.
authors.affiliation: Department of Surgical Oncology, Beijing Shijitan Hospital Affiliated to the Capital Medical University, Beijing, 100038, China.|Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
authors.forename: Lin-Wei
authors.initials: LW
authors.lastname: Wang
authors.affiliation: School of Computer Science and Technology, University of South China, Hengyang, 421001, China.
authors.forename: Ai-Ping
authors.initials: AP
authors.lastname: Qu
authors.affiliation: Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
authors.forename: Wen-Lou
authors.initials: WL
authors.lastname: Liu
authors.affiliation: Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
authors.forename: Jia-Mei
authors.initials: JM
authors.lastname: Chen
authors.affiliation: Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
authors.forename: Jing-Ping
authors.initials: JP
authors.lastname: Yuan
authors.affiliation: Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
authors.forename: Han
authors.initials: H
authors.lastname: Wu
authors.affiliation: Department of Surgical Oncology, Beijing Shijitan Hospital Affiliated to the Capital Medical University, Beijing, 100038, China.|Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Computer, Wuhan University, Wuhan 430072, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Liu
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics; D004396:Coloring Agents / Q000737:chemistry; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007633:Keratins / Q000235:genetics; D019394:Ki-67 Antigen / Q000235:genetics*; D009367:Neoplasm Staging; D061848:Optical Imaging / Q000379:methods*; D045663:Quantum Dots / Q000737:chemistry*; D012680:Sensitivity and Specificity; D013194:Staining and Labeling
chemical_list: D004396:Coloring Agents; D019394:Ki-67 Antigen; D007633:Keratins
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