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自凝法可提高细胞块的制备效果。

Self-clotting method improves cell block preparation.

机构信息

Department of Pathology, New York University School of Medicine, New York, New York.

出版信息

Cancer Cytopathol. 2018 Mar;126(3):190-199. doi: 10.1002/cncy.21950. Epub 2017 Nov 27.

DOI:10.1002/cncy.21950
PMID:29178587
Abstract

BACKGROUND

The success of cell block preparation is crucial for ancillary diagnostic tests in cytology. However, achieving an optimal cell block can be challenging. The current study describes a self-clotting-based technique for fine-needle aspiration (FNA) cell block preparations and evaluates its usefulness in comparison with the conventional needle wash technique.

METHODS

The clinical data, FNA procedure, and cellularity of cell blocks of the self-clotting group (37 cases) and the conventional needle wash group (33 cases) were compared. The cellularity was evaluated using a scoring system (0 indicated acellular, 1 indicated 1-50 cells, and 2 indicated >50 cells).

RESULTS

Approximately 76% of cases in the self-clotting group received a score of 2 versus 36% in the conventional needle wash group. Approximately 14% received a score of 1 in the self-clotting group compared with 9% in the conventional needle wash group, whereas 11% in the self-clotting group received a score of 0 versus 55% in the conventional needle wash group. The differences between the 2 methods were statistically significant.

CONCLUSIONS

The results of the current study demonstrate that the self-clotting method is superior to the conventional needle wash method for FNA samples. Cancer Cytopathol 2018;126:190-9. © 2017 American Cancer Society.

摘要

背景

细胞块制备的成功对细胞学辅助诊断测试至关重要。然而,实现最佳的细胞块可能具有挑战性。本研究描述了一种基于自身凝结的细针抽吸(FNA)细胞块制备技术,并将其与传统的针洗技术进行比较,评估其有用性。

方法

比较了自身凝结组(37 例)和传统针洗组(33 例)的临床数据、FNA 操作和细胞块的细胞数量。使用评分系统(0 表示无细胞,1 表示 1-50 个细胞,2 表示>50 个细胞)评估细胞数量。

结果

自身凝结组约有 76%的病例得分为 2,而传统针洗组为 36%。自身凝结组约有 14%的病例得分为 1,而传统针洗组为 9%,而自身凝结组有 11%的病例得分为 0,而传统针洗组为 55%。这两种方法之间的差异具有统计学意义。

结论

本研究结果表明,自身凝结法优于传统的针洗法用于 FNA 样本。癌症细胞病理学 2018;126:190-9。© 2017 美国癌症协会。

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