Using Silva pattern system to predict prognosis and plan treatment of invasive endocervical adenocarcinoma: a single-center retrospective analysis

BMC Women's Health

Research

Pengpeng Qu¹  Xiao Li¹  Shujie Pang²  Yan Shen² 

[1] Department of Gynecological Oncology, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin Key Laboratory of Human Development and Reproductive Regulation, 156 Nankai Third Road, Nankai, 300100, Tianjin, People’s Republic of China;Department of Pathology, Tianjin Central Hospital of Obstetrics and Gynecology, Tianjin Key Laboratory of Human Development and Reproductive Regulation, 156 Nankai Third Road, Nankai, 300100, Tianjin, People’s Republic of China;

关键词: Classification system;    Invasive endocervical adenocarcinoma;    Lymph node metastasis;    Pattern-based;    Risk stratification;   

DOI  :  10.1186/s12905-022-02090-5

 received in 2022-03-28, accepted in 2022-11-21,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundThis study evaluated the prognostic value of the Silva pattern system for invasive endocervical adenocarcinoma (EAC) by analysing its association with clinical and pathological features to provide more appropriate clinical management.MethodsA retrospective analysis including 63 patients with pathological diagnosis of invasive EAC was performed from March 2011 to December 2016 at our hospital. All pathological slides were reviewed by three senior pathologists, and cases were stratified into patterns A, B, or C by consensus according to the Silva pattern system criteria. Clinicopathological characteristics and follow-up of the three Silva subgroups were analysed.ResultsSilva A, B, and C EAC patients were compared based on tumour size, clinical stage, lymphovascular invasion (LVI), and depth of invasion (DOI). The differences were found to be statistically significant (p < 0.01). There was no statistically significant difference in the proportion of lymph node metastasis among the three groups (p > 0.05) or in the recurrence and mortality rates of patients with Silva A, B, and C EAC (p > 0.05). Single factor analysis showed that tumour size, clinical stage, lymph node metastasis, LVI, and DOI were related to postoperative recurrence, whereas age, Silva classification, and postoperative recurrence were not correlated.ConclusionThe Silva classification system can predict lymph node status and prognosis of invasive EAC, but it cannot be used as an independent indicator. Individualized treatment plans should be adopted for patients with EAC.

【 授权许可】

CC BY   
© The Author(s) 2022

【 图 表 】

Fig. 6