Taiwanese Journal of Obstetrics & Gynecology (Nov 2021)
Re-classification of uterine cervical cancer cases treated with radical hysterectomy based on the 2018 FIGO staging system
Abstract
Objective: We re-classified patients with stage IB–II disease (based on the 2008 system) and compared the outcomes with those obtained after using the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging system. Materials and methods: We reviewed the data of 154 patients with cervical cancer who underwent radical hysterectomy at our hospital during 2006–2016. Pathological, histological, and radiographic data were used to re-classify the cases based on the 2018 FIGO system. We compared these outcomes to those obtained after using the 2008 FIGO assignments. Overall survival (OS) was calculated from primary therapy initiation until death or the last follow-up examination. Results: The histological types were squamous cell carcinoma (108 cases) and others (46 cases). The 2008 FIGO system assignments were stage IB1, IB2, IIA1, IIA2, and IIB (87, 27, seven, five, and 28 patients, respectively). The new 2018 FIGO system assignments were stage IB1, IB2, IB3, IIA1, IIA2, IIB, and IIIC1 (52, 26, 16, six, three, 21, and 30 patients, respectively). Re-classification to stage IIIC1 disease was observed for previously assigned stage IB1, IB2, IIA1, IIA2, and IIB cases (10, seven, two, two, and nine cases, respectively). The median OS durations based on the 2018 FIGO system were 71.7, 61.1, and 62.3 months for patients with stage IB1, IB2, and IB3 (p = 0.04) disease, respectively. The new stage IB3/IIA2/IIB cases had longer OS than the old stage IB2/IIA2/IIB cases. A positive computed tomography (CT) finding of nodal involvement was observed in 37% of cases with pathological confirmation of pelvic lymph node (LN) involvement. Using CT to identify pelvic LN metastasis had a sensitivity of 37% and specificity of 93%. Conclusion: The 2018 FIGO staging system for cervical cancer after radical hysterectomy showed a better ability to differentiate survival outcomes. However, the image evaluation method should be reconsidered.