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Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurement

机译:基于量子点的双重成像与有机染料成像相结合,建立了用于癌症Ki67测量的自动计算机化方法

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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.
机译:作为广泛使用的增殖标志物,Ki67对癌症的预后具有重要影响,尤其是对于乳腺癌(BC)。但是,分析方法的变化使病理学家难以手动测量Ki67指数。这项研究的目的是建立基于量子点(QDs)的双核成像,通过QDs-655将红色信号成像为核Ki67,将胞质细胞角蛋白(CK)通过QDs-585进行黄色信号成像,并通过4将细胞核的有机染料成像作为蓝色信号成像',6-diamidino-2-phenylindole(DAPI),并开发计算机辅助的Ki67指数自动测量方法。新开发的自动计算机化的Ki67测量可以在带有黄色信号的癌细胞胞质中有效识别和计数带有红色信号的Ki67阳性癌细胞核和带有蓝色信号的癌细胞核。比较计算机化Ki67指数,视觉Ki67指数和标记Ki67指数对90例Ki67≤≤10%(低级),10%≤

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