临床与病理杂志2018，Vol.38Issue(3)：480-484,5.DOI:10.3978/j.issn.2095-6959.2018.03.003
P16及Ki67在宫颈病变病理诊断中的应用
Application of P16 and Ki67 in the pathological diagnosis of cervical lesions
摘要
Abstract
Objective: To evaluate the role of P16INK4a and Ki67 in improving the accuracy of the cervical intraepithelial neoplasia pathology diagnosis. Methods: A total of 207 cases of cervical biopsy were selected by routine HE staining and P16INK4a, Ki67 immunohistochemical staining. We invited five pathologists, first each pathologist reading routine HE staining for diagnosis; after half a year, invited the same five pathologists reading routine HE sections and P16INK4a, Ki67 for diagnosis again, and compared the interobserver agreement, calculated the coincidence rate. Finally, we compared the five pathologists diagnosis with the reference standard and calculated the coincidence rate. Results: The diagnosis relied solely on conventional HE slides, the interobserver agreement was weak to moderate and the coincidence rate was low. The agreement between pathological diagnosis and the reference standard, and coincidence rate were the same (the Kappa values were 0.344±0.072, 0.385±0.053, and the coincidence rate were 55％-70％, 60％-65％, respectively). But combination with P16INK4a and Ki67 for diagnosis, the interobserver agreement reached high or extremely strong level, and the coincidence rate were significantly increased (the Kappa values were 0.700±0.051, 0.792±0.043, and the coincidence rate were 78％-88％, 85％-91％ respectively). The difference between the two groups was statistically significant (P＜0.05). Conclusion: Combined with P16INK4a and Ki67 immunohistochemical staining, pathologists can significantly improve the accuracy of the diagnosis of cervical biopsy.关键词
宫颈病变/诊断/准确性/P16/Ki67Key words
cervical intraepithelial neoplasia/diagnosis/accuracy/P16/Ki67引用本文复制引用
刘镜文,和月生,胡慧珍,刘文科,吴彬,吴秋良..P16及Ki67在宫颈病变病理诊断中的应用[J].临床与病理杂志,2018,38(3):480-484,5.基金项目
广东省惠州市科技局项目(2016Y051).This work was supported by Huizhou Science and Technology Bureau of Guangdong Province, China (2016Y051). （2016Y051）
