Characterizing the Effect of Processing Technique and Solution Type on Cytomorphology Using Liquid-Based Cytology
Characterizing the Effect of Processing Technique and Solution Type on Cytomorphology Using Liquid-Based Cytology
复制标题
使用液基细胞学表征处理技术和溶液类型对细胞形态学的影响
DOI:
10.1159/000519335
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发表时间:
2021
期刊:
影响因子:
1.8
通讯作者:
Nagata Kohzo
中科院分区:
文献类型:
--
作者:
Ikeda Katsuhide;Oboshi Wataru;Hashimoto Yusuke;Komene Tetsuya;Yamaguchi Yoshitaka;Sato Shouichi;Maruyama Sayumi;Furukawa Nozomi;Sakabe Nanako;Nagata Kohzo
IntroductionLiquid-based cytology (LBC) is increasingly used for nongynecologic applications. However, the cytological preparation of LBC specimens is influenced by the processing technique and the preservative used. In this study, the influence of the processing techniques and preservatives on cell morphology was examined mathematically and statistically.MethodsCytological specimens were prepared using the ThinPrep (TP), SurePath (SP), and AutoSmear methods, with 5 different preservative solutions. The cytoplasmic and nuclear areas of Papanicolaou-stained specimens were measured for all samples.ResultsThe cytoplasmic and nuclear areas were smaller in cells prepared using the 2 LBC methods, compared to that prepared using the AutoSmear method, irrespective of the preservative used. The cytoplasmic and nuclear areas of cells prepared using the SP method were smaller than those of cells prepared using the TP method, irrespective of the preservative used. There were fewer differences among the cytoplasmic areas of cells prepared with different preservative solutions using the TP method; however, the cytoplasmic areas of cells prepared using the SP method changed with the preservative solution used.ConclusionsThe most significant difference affecting the cytoplasmic and nuclear areas was the processing technique. The TP method increased the cytoplasmic and nuclear areas, while the methanol-based PreservCyt solution enabled the highest enlargement of the cell. LBC is a superior preparation technique for standardization of the specimens. Our results offer a better understanding of methods suitable for specimen preparation for developing precision AI-based diagnosis in cytology.
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影响因子:
1.3
作者:
P. K. Wright;J. Marshall;M. Desai
通讯作者:
M. Desai
影响因子:
1.3
作者:
Michael, CW;McConnel, J;Al-Khafaji, B
通讯作者:
Al-Khafaji, B
影响因子:
1.3
作者:
Belsley, Nicole A.;Tambouret, Rosemary H.;Wilbur, David C.
通讯作者:
Wilbur, David C.
DOI:
--
发表时间:
2004
期刊:
The Journal of the National Comprehensive Cancer Network
影响因子:
--
作者:
J. Thomas Cox
通讯作者:
J. Thomas Cox
影响因子:
1.3
作者:
Ikeda K;Tsuta K
通讯作者:
Tsuta K