Computerized delineation of nuclei in liquid-based pap smears stained with immunohistochemical biomarkers.
Computerized delineation of nuclei in liquid-based pap smears stained with immunohistochemical biomarkers.
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用免疫组织化学生物标志物染色的液基子宫颈涂片中细胞核的计算机化描绘。
DOI：
10.1002/cyto.b.21193
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Gertych,Arkadiusz
中科院分区：
文献类型：
--
作者：
Qin,Yi;Walts,AnnE;Knudsen,BeatriceS;Gertych,Arkadiusz
高危型人乳头瘤病毒（hrHPV）感染是宫颈上皮内瘤变和宫颈癌的常见原因。最近开发的p16/Ki 67双重染色细胞学制备物具有优于当前HPV检测的上级特异性，可用于检测中度和高度发育不良，并可能应用于常规细胞学筛查。图像分析可能会提高评估巴氏涂片的效率，如果双染色的细胞核被准确地定位并可靠地与其他细胞的背景区分开来。和基于超像素的分割，用于p16/结果在99幅图像（n= 19,323个细胞）上，该方法的准确率和召回率分别达到0.952和0.958。通过Jaccard指数（n= 1，080个细胞）评估的描绘准确性为0.794。在单个细胞的精度和召回率高于clumps.ConclusionsIn总结，新技术描绘大，小核不受着色显着优于仅涉及径向对称检测器的方法的性能。因此，它适合于自动定义细胞核区域，用于量化涂片中的细胞核生物标志物。© 2014国际临床细胞计数学会
BackgroundInfection with high‐risk human papillomaviruses (hrHPVs) is a frequent cause of cervical intraepithelial neoplasias and carcinomas. The recently developed p16/Ki67 dual stain of cytologic preparations possesses superior specificity over current HPV testing for detecting moderate‐ and high‐grade dysplasias and can potentially be applied in routine cytology screening. Image analysis can possibly improve the efficiency of evaluating Papanicolaou (Pap) smears, if dual‐stained nuclei are accurately localized and reliably distinguished from the background of other cells.MethodsHere, we describe a technique comprising color deconvolution, radial symmetry detector, and a superpixel‐based segmentation for computerized delineation of nuclei in Pap smears stained with p16/Ki67.ResultsThe performance of the method was determined by the precision and recall in 99 images (n= 19,323 cells) and reached 0.952 and 0.958, respectively. The accuracy of delineation, assessed by the Jaccard index (n= 1,080 cells), was 0.794. In single cells the precision and recall was higher than in clumps (P= 0.005).ConclusionsIn summary, the new technique delineates large and small nuclei irrespectively of coloration with a significantly better performance than a method solely involving the radial symmetry detector. Therefore, it is suited to automatically define nuclear areas for quantification of nuclear biomarkers in smears. © 2014 International Clinical Cytometry Society
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