TY - JOUR
T1 - Incorporating Magnetic Resonance Imaging (MRI) Based Radiation Therapy Response Prediction into Clinical Practice for Locally Advanced Cervical Cancer Patients
AU - Schernberg, Antoine
AU - Kumar, Tamizhanban
AU - Achkar, Samir
AU - Espenel, Sophie
AU - Bockel, Sophie
AU - Majer, Michael
AU - Escande, Alexandre
AU - Mignot, Fabien
AU - Annede, Pierre
AU - Monnier, Laurie
AU - Huguet, Florence
AU - Chargari, Cyrus
N1 - Publisher Copyright:
© 2020 Elsevier Inc.
PY - 2020/10/1
Y1 - 2020/10/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85087035716&partnerID=8YFLogxK
U2 - 10.1016/j.semradonc.2020.05.007
DO - 10.1016/j.semradonc.2020.05.007
M3 - Review article
C2 - 32828385
AN - SCOPUS:85087035716
SN - 1053-4296
VL - 30
SP - 291
EP - 299
JO - Seminars in Radiation Oncology
JF - Seminars in Radiation Oncology
IS - 4
ER -