MRI-based radiomics: promise for locally advanced cervical cancer treated with a tailored integrated therapeutic approach

Abstract

Objective: To assess prognostic factors by analyzing clinical and radiomic data of patients with locally advanced cervical cancer (LACC) treated with definitive concurrent cisplatin-based chemoradiotherapy (CCRT) using magnetic resonance imaging (MRI). Methods: We analyzed radiomic features from MRI in 60 women with FIGO (International Federation of Gynecology and Obstetrics) stage IB2–IVA cervical cancer who underwent definitive CCRT 45–50.4 Gy (in 25–28 fractions). Thirty-nine (65.0%) received EBRT sequential boost (4–20 Gy) on primary tumor site and 56 (93.3%) received high-dose-rate brachytherapy boost (6–28 Gy) (daily fractions of 5–7 Gy). Moreover, 71.7% of patients received dose-dense neoadjuvant chemotherapy for 6 cycles. The gross tumor volume was defined on T2-weighted sequences and 29 features were extracted from each MRI performed before and after CCRT, using dedicated software, and their prognostic value was correlated with clinical information. Results: In univariate analysis, age ⩾60 years and FIGO stage IB2–IIB had significantly better progression-free survival (PFS) ( p = 0.022 and p = 0.009, respectively). There was a trend for significance for worse overall survival (OS) in patients with positive nodes ( p = 0.062). In multivariate analysis, only age ⩾60 years and FIGO stage IB2–IIB reached significantly better PFS ( p = 0.020 and p = 0.053, respectively). In radiomic dataset, in multivariate analysis, pregray level p75 was significantly associated with PFS ( p = 0.047), pre-D3D value with OS ( p = 0.049), and preinformation measure of correlation value with local control ( p = 0.031). Conclusion: The combination of clinical and radiomics features can provide information to predict behavior and prognosis of LACC and to make more accurate treatment decisions.