Incorporating Magnetic Resonance Imaging (MRI) Based Radiation Therapy Response Prediction into Clinical Practice for Locally Advanced Cervical Cancer Patients

Abstract

In recent years, magnetic resonance imaging (MRI) has become one of the standard imaging tools to define the macroscopic gross tumor volume in locally advanced cervical cancer patients based on T2-weighted sequence. Recent data suggest that functional MRI could be used to potentially improve the delineation of target volumes based on physiologic features, defining radioresistant subvolumes that may require higher doses to achieve local cure. Functional imaging can be used to predict tumor biology and outcome, as well as for assessment of tumor response during radiotherapy. The concept of adaptive radiotherapy relies on the possibility of monitoring variations in target volumes structures to guide treatment-plan modification during radiotherapy, taking into account not only internal movements but also tumor response. With integrated MRI in radiotherapy linear accelerators, motion monitoring during treatment delivery has become available. MRI can be also used to accurately evaluate cervical tumor residual volume after chemoradiotherapy, and therefore allowing a personalized treatment planning for brachytherapy boost, based on tumor radiosensitivity. In this review, we discuss how MRI tumor response assessment could be included into clinical practice during radiation therapy in locally advanced cervical cancer patients.