Narrative review of the utility of magnetic resonance imaging in radiotherapy for cervical cancer.

Radiotherapy (RT) cervical cancer magnetic resonance image motion

Journal

Chinese clinical oncology
ISSN: 2304-3873
Titre abrégé: Chin Clin Oncol
Pays: China
ID NLM: 101608375

Informations de publication

Date de publication:
13 Apr 2024
Historique:
medline: 22 4 2024
pubmed: 22 4 2024
entrez: 22 4 2024
Statut: aheadofprint

Résumé

In radiotherapy (RT) for locally advanced cervical cancer, high soft tissue contrast on magnetic resonance imaging (MRI) can ensure accurate delineation of target volumes (TVs) and optimal dose distribution to the RT target and organs at risk (OAR). MRI-guided adaptive RT (MRIgART) is a novel technology that revises RT plans according to anatomical changes occurring throughout the treatment to improve target coverage and minimise OAR toxicity. This review aims to assess the evidence and gaps of MRI use in RT planning and MRIgART in the treatment of cervical cancer, as well as challenges in its clinical implementation. Ovid Medline and PubMed were searched using keywords for MRI in RT for cervical cancer. After applying the inclusion and exclusion criteria, the initial search was deduced to 32 studies. A total of 37 final studies were reviewed, including eight additional articles from references. In the primary studies, TVs and organ motion were assessed before, during, and after treatment. MRI was used to investigate dose distribution and therapeutic response to the treatment in association with its outcome. Lastly, rationales for MRIgART were evaluated. It was concluded that MRI enables accurate target delineation, assessment of organ motion and interfraction changes, and monitoring of treatment response through dynamic parameters. Enhanced target coverage and reduced OAR irradiation through MRIgART can improve local control and the overall outcome, although its rationales against the logistical challenges need to be evaluated on further research.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
In radiotherapy (RT) for locally advanced cervical cancer, high soft tissue contrast on magnetic resonance imaging (MRI) can ensure accurate delineation of target volumes (TVs) and optimal dose distribution to the RT target and organs at risk (OAR). MRI-guided adaptive RT (MRIgART) is a novel technology that revises RT plans according to anatomical changes occurring throughout the treatment to improve target coverage and minimise OAR toxicity. This review aims to assess the evidence and gaps of MRI use in RT planning and MRIgART in the treatment of cervical cancer, as well as challenges in its clinical implementation.
METHODS METHODS
Ovid Medline and PubMed were searched using keywords for MRI in RT for cervical cancer. After applying the inclusion and exclusion criteria, the initial search was deduced to 32 studies. A total of 37 final studies were reviewed, including eight additional articles from references.
KEY CONTENT AND FINDINGS UNASSIGNED
In the primary studies, TVs and organ motion were assessed before, during, and after treatment. MRI was used to investigate dose distribution and therapeutic response to the treatment in association with its outcome. Lastly, rationales for MRIgART were evaluated.
CONCLUSIONS CONCLUSIONS
It was concluded that MRI enables accurate target delineation, assessment of organ motion and interfraction changes, and monitoring of treatment response through dynamic parameters. Enhanced target coverage and reduced OAR irradiation through MRIgART can improve local control and the overall outcome, although its rationales against the logistical challenges need to be evaluated on further research.

Identifiants

pubmed: 38644546
doi: 10.21037/cco-23-91
pii: cco-23-91
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jiwoo Lee (J)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia.

Carminia Lapuz (C)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia.

Richard Khor (R)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia; School of Imaging and Radiation Sciences, Monash University, Melbourne, Australia; School of Cancer Medicine, La Trobe University, Melbourne, Australia.

Eddie Lau (E)

Department of Radiology, Austin Health, Heidelberg, Australia; Department of Radiology, University of Melbourne, Melbourne, Australia.

Natalie Yang (N)

Department of Radiology, Austin Health, Heidelberg, Australia; Department of Radiology, University of Melbourne, Melbourne, Australia.

Adeline Lim (A)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia.

Farshad Foroudi (F)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia; School of Imaging and Radiation Sciences, Monash University, Melbourne, Australia; School of Cancer Medicine, La Trobe University, Melbourne, Australia.

Sweet Ping Ng (SP)

Department of Radiation Oncology, Olivia Newton-John Cancer Wellness and Research Centre, Austin Health, Heidelberg, Australia; School of Imaging and Radiation Sciences, Monash University, Melbourne, Australia; School of Cancer Medicine, La Trobe University, Melbourne, Australia.

Classifications MeSH