Application and clinical significance of Silva pattern system in invasive endocervical adenocarcinoma

Abstract

Objective: To investigate the significance of Silva pattern system about clinical application in invasive endocervical adenocarcinoma. Methods: Data obtained from the Maternity Affiliated Hospital of Dalian Medical University was analyzed, 78 endocervical adenocarcinoma cases were included from December, 2006 to August, 2017. The average age of patients was (45.1±9.1) years old (ranged 27-71 years old). Clinical stage: stageⅠa 26 cases and Ⅰb 49 cases and stage Ⅱa 3 cases. All pathological slides were reviewed, stratified cases into pattern A, B and C according to Silva system criteria. Clinicopathological parameters of three Silva subgroups were analyzed, χ(2) test was used to investigate the correlation of Silva system and clinicopathological parameters. Follow-up data were collected until Jan. 3rd, 2018. The median follow-up time was 41 months (ranged 5-90 months). Kruskal-Wallis H test and Fisher test were used to analyze prognoses among different Silva subgroups. Results: (1) Silva A cases accounted for 38% (30/78) of all patients, 24 cases were stageⅠa, 6 cases were stageⅠb. The median tumor thickness was 2.1 mm (ranged 1.0-10.0 mm). No lymph vascular space invasion (LVSI) and perineural invasion (PNI) was detected, and all lymph node (LN) were negative for metastatic carcinoma. All patients were alive and had no evidence of recurrence. About 21% (16/78) cases were classified as Silva B, including 2 stage Ⅰa and 14 stage Ⅰb. The median tumor thickness was 5.2 mm (ranged 2.0-11.0 mm). Several patients had LVSI (4/16), LN metastasis (1/10) or PNI (1/16), but there was no recurrence or death. Thirty two (41%, 32/78) cases were Silva C, including 29 stage Ⅰb and 3 stage Ⅱa. The median tumor thickness was 11.5 mm (ranged 4.0-21.0 mm). The incidence of LVSI (53%, 17/32), LN metastasis (31%, 8/26) or PNI (16%, 5/32) was significantly increased. There were two recurrent cases and one death cases. (2) Statistical data demonstrated that Silva pattern system was closely correlated with clinicopathological parameters, such as clinical stage (r=0.754, P=0.000), tumor depth (P=0.000) and LVSI (r=0.534, P=0.000). But there was no correlation between Silva system and LN metastasis or PNI (all P>0.05). (3) Silva subgroups demonstrated no significant difference in recurrence and death (P>0.05). Conclusions: The application of Silva pattern system could effectively predict the prognosis of patients. It may be helpful to select reasonable operation before surgery and to realize individualized treatment of cervical adenocarcinoma.