Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.

Abstract

OBJECTIVE\nTo determine the utility of volumetric diffusion weighted imaging (DWI) compared to other clinical factors for predicting recurrence and survival in cervical cancer patients treated with definitive chemoradiation.\n\n\nMETHODS AND MATERIALS\nWe retrospectively studied cervical cancer patients treated with definitive chemoradiation between 2009-2013 at a single institution with a baseline MRI with DWI and 18F-FDG positron emission tomography/computed tomography (FDG-PET) scan. To identify clinical and imaging metrics correlated with survival and recurrence endpoints, variable importance values were calculated from random forest models. To provide clinically relevant threshold values, recursive partitioning analysis dichotomized patients into potential risk groups based on selected metrics. Cox s proportional hazard models assessed the effect of clinical and imaging factors on survival endpoints.\n\n\nRESULTS\nNinety-three patients were included in the analysis (median age 50\u202fyears). At a median follow-up of 35.6\u202fmonths, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC\u202f<\u202f1.917 was the only significantly associated factor with worse progression free survival (PFS). Overall survival, PFS, and distant metastasis free survival (DMFS) were significantly different between patient groups divided on 90th percentile ADC with threshold of 1.917\u202f×\u202f10-3\u202fmm2/s and MRI volume with threshold of 18.9\u202fcc (P\u202f=\u202f0.037, P\u202f=\u202f0.0002, P\u202f=\u202f0.001). High MRI volume and low ADC were associated with worse clinical outcomes.\n\n\nCONCLUSIONS\nVolumetric 90th percentile ADC value of the primary tumor on pretreatment MRI was a significant predictor of PFS and DMFS in cervical cancer patients, independent of established clinical factors and SUV on FDG-PET.