Controversy on Positive Peritoneal Cytology of Endometrial Carcinoma

Author:

Liu Yi-Si1,Wang Hui-Min1,Gao Yan1ORCID

Affiliation:

1. Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, 110042 Liaoning, China

Abstract

Endometrial carcinoma (EC) is one of the most common gynecological malignancies. Its incidence rate has been increasing year by year. The prognostic factors and treatment strategies of EC have aroused wide concern. The effects of peritoneal cytology on the prognosis and treatment of EC remain controversial. Some factors, such as differentiation degree, muscle invasion, and tumor size, are related to positive peritoneal cytology. Hysteroscopy is commonly used in the diagnosis and treatment of endometrial cancer, but hysteroscopic surgery may cause the tumor to spread into the abdominal cavity, resulting in positive peritoneal cytology. In this review, we discuss the factors related to positive peritoneal cytology and the influence of positive peritoneal cytology on the prognosis of endometrial cancer. Suspicious positive peritoneal cytology may be an independent risk factor for endometrial cancer. The positive rate of peritoneal tumor cells in type II endometrial cancer is higher than other cells and is an independent risk factor for type II endometrial cancer. We also discuss the effects of peritoneal cytology on treatment decisions. Aggressive treatments seem to be more beneficial for patients with positive ascites cytology, but there is a lack of large-scale prospective clinical studies on their effectiveness and safety. The application of peritoneal cytology for endometrial cancer has been decreased in recent years. We believe that peritoneal cytology is necessary for this type of cancer. However, more studies on peritoneal cytology in endometrial cancer should be carried out.

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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