Jennifer C Ho1, Penny Fang1, Carlos E Cardenas2, Abdallah S R Mohamed1, Clifton D Fuller1, Pamela K Allen3, Priya R Bhosale4, Michael M Frumovitz5, Anuja Jhingran1, Ann H Klopp6. 1. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States. 2. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, United States. 3. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, United States. 4. Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, United States. 5. Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States. 6. Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States. Electronic address: aklopp@mdanderson.org.
Abstract
OBJECTIVE: To 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. METHODS AND MATERIALS: We 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. RESULTS: Ninety-three patients were included in the analysis (median age 50 years). At a median follow-up of 35.6 months, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC < 1.917 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 × 10-3 mm2/s and MRI volume with threshold of 18.9 cc (P = 0.037, P = 0.0002, P = 0.001). High MRI volume and low ADC were associated with worse clinical outcomes. CONCLUSIONS: Volumetric 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.
OBJECTIVE: To determine the utility of volumetric diffusion weighted imaging (DWI) compared to other clinical factors for predicting recurrence and survival in cervical cancerpatients treated with definitive chemoradiation. METHODS AND MATERIALS: We retrospectively studied cervical cancerpatients 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. RESULTS: Ninety-three patients were included in the analysis (median age 50 years). At a median follow-up of 35.6 months, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC < 1.917 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 × 10-3 mm2/s and MRI volume with threshold of 18.9 cc (P = 0.037, P = 0.0002, P = 0.001). High MRI volume and low ADC were associated with worse clinical outcomes. CONCLUSIONS: Volumetric 90th percentile ADC value of the primary tumor on pretreatment MRI was a significant predictor of PFS and DMFS in cervical cancerpatients, independent of established clinical factors and SUV on FDG-PET.
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