The 5-year overall survival of cervical cancer in stage IIIC-r was little different to stage I and II: a retrospective analysis from a single center

Abstract Background The 2018 International Federation of Gynecology and Obstetrics (FIGO) staging guideline for cervical cancer includes stage IIIC recognized by preoperative radiology (IIIC-r) to state there are lymph nodes metastases (LNM) identified by imaging tools. We aim to explore the reasonability and limitations of stage IIIC-r and try to explore the potential reasons. Methods Electronic medical records were used to identify patients with cervical cancer. According to the new staging guidelines, patients were reclassified and assigned into five cohorts: stage I, stage II, stage IIIC-r, LNM confirmed by pathology (IIIC-p) and LNM detected by radiology and confirmed by pathology (IIIC r + p). Five-year overall survivals were estimated for each cohort. The diagnosis accuracy of computed tomography (CT), magnetic resonance imaging (MRI) and diameter of detected lymph nodes were also evaluated. Results A total of 619 patients were identified. The mean follow-up months were 65 months (95% CI 64.43–65.77) for all patients. By comparison, the 5-year overall survival rates were not statistically different ( p = 0.21) among stage IIIC-r, stage I and stage II. While, the rates were both statistical different ( p <0.001) among stage IIIC-p, IIIC r + p and stage I and stage II. The sensitivities of CT and MRI in detecting LNM preoperatively were 51.2 and 48.8%. The mean maximum diameter of pelvic lymph nodes detected by CT cohort was 1.2 cm in IIIC-r cohort, and was 1.3 cm in IIIC r + p cohort. While, the mean maximum diameter of pelvic lymph nodes detected by MRI was 1.2 cm in IIIC-r cohort, and was 1.48 cm in IIIC r + p cohort. When the diagnosis efficacy of the diameter of pelvic lymph nodes in detecting LNM were evaluated, the area under the receiver operating characteristic curve (ROC curve) was 0.58 ( p = 0.05). Conclusions It seems that the FIGO 2018 staging guideline for cervical cancer is likely to has certain limitations for the classification of those with LNM. CT or MRI, however, has limitations on detecting LNM. It would be better to use more accurate imaging tools to identify LNM in the clinical practices.