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


Journal

Seminars in radiation oncology
ISSN: 1532-9461
Titre abrégé: Semin Radiat Oncol
Pays: United States
ID NLM: 9202882

Informations de publication

Date de publication:
10 2020
Historique:
entrez: 24 8 2020
pubmed: 24 8 2020
medline: 8 9 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32828385
pii: S1053-4296(20)30040-0
doi: 10.1016/j.semradonc.2020.05.007
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

291-299

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Antoine Schernberg (A)

Radiation Oncology Department, DMU Orphé, Hôpital Tenon, AP-HP.Sorbonne Université, France; Paris Sorbonne Universités, France. Electronic address: aschernberg@gmail.com.

Tamizhanban Kumar (T)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Samir Achkar (S)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Sophie Espenel (S)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Sophie Bockel (S)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Michael Majer (M)

Radiodiagnostic department, Gustave Roussy Cancer Campus, Villejuif, France.

Alexandre Escande (A)

Radiation Oncology Department, Oscar Lambret Institute, Lille, France.

Fabien Mignot (F)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Pierre Annede (P)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France.

Laurie Monnier (L)

Radiation Oncology Department, DMU Orphé, Hôpital Tenon, AP-HP.Sorbonne Université, France.

Florence Huguet (F)

Radiation Oncology Department, DMU Orphé, Hôpital Tenon, AP-HP.Sorbonne Université, France; Paris Sorbonne Universités, France.

Cyrus Chargari (C)

Radiation Oncology department, Brachytherapy Unit, Gustave Roussy Cancer Campus, Villejuif, France; Radiation Oncology Department, Oscar Lambret Institute, Lille, France; Faculté de Médecine PARIS Sud, Université Paris Sud, Université Paris Saclay; INSERM1030, Gustave Roussy Cancer Campus, Villejuif France; French Military Health Services Academy, Ecole du Val-de-Grâce, Paris, France; Institut de Recherche Biomédicale des Armées, Bretigny-sur-Orge, France.

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