Pre-treatment prediction of early response to chemoradiotherapy by quantitative analysis of baseline staging FDG-PET/CT and MRI in locally advanced cervical cancer

Author:

Min Lisa A12ORCID,Ackermans Leanne LGC1,Nowee Marlies E3,Griethuysen Joost JW van12,Roberti Sander4,Maas Monique1,Vogel Wouter V35,Beets-Tan Regina GH12,Lambregts Doenja MJ1

Affiliation:

1. Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands

2. GROW School for Oncology and Developmental Biology – University of Maastricht, Maastricht, The Netherlands

3. Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands

4. Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands

5. Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands

Abstract

Background Early prediction of response to concurrent chemoradiotherapy (cCRT) could aid to further optimize treatment regimens for locally advanced cervical cancer (LACC) in the future. Purpose To explore whether quantitative parameters from baseline (pre-therapy) magnetic resonance imaging (MRI) and FDG-PET/computed tomography (CT) have potential as predictors of early response to cCRT. Material and Methods Forty-six patients with LACC undergoing cCRT after staging with FDG-PET/CT and MRI were retrospectively analyzed. Primary tumor volumes were delineated on FDG-PET/CT, T2-weighted (T2W)-MRI and diffusion-weighted MRI (DWI) to extract the following quantitative parameters: T2W volume; T2W signalmean; DWI volume; ADCmean; ADCSD; MTV42%; and SUVmax. Outcome was the early treatment response, defined as the residual tumor volume on MRI 3–4 weeks after start of external beam radiotherapy with chemotherapy (before the start of brachytherapy): patients with a residual tumor volume <10 cm3 were classified as early responders. Imaging parameters were analyzed together with FIGO stage to assess their performance to predict early response, using multivariable logistic regression analysis with bi-directional variable selection. Leave-one-out cross-validation with bootstrapping was used to simulate performance in a new, independent dataset. Results T2W volume (OR 0.94, P = 0.003) and SUVmax (OR 1.15, P = 0.18) were identified as independent predictors in multivariable analysis, rendering a model with an AUC of 0.82 in the original dataset, and AUC of 0.68 (95% CI 0.41–0.81) from cross-validation. Conclusion Although the predictive performance achieved in this small exploratory dataset was limited, these preliminary data suggest that parameters from baseline MRI and FDG-PET/CT (in particular pre-therapy tumor volume) may contribute to prediction of early response to cCRT in cervical cancer.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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