Advances in MRI-Guided Radiation Therapy

Michael D Chuong; Russell F Palm; Michael C Tjong; Daniel E Hyer; Amar U Kishan

doi:10.1016/j.soc.2023.02.008

Advances in MRI-Guided Radiation Therapy

Surg Oncol Clin N Am. 2023 Jul;32(3):599-615. doi: 10.1016/j.soc.2023.02.008. Epub 2023 Apr 4.

Authors

Michael D Chuong¹, Russell F Palm², Michael C Tjong³, Daniel E Hyer⁴, Amar U Kishan⁵

Affiliations

¹ Department of Radiation Oncology, Miami Cancer Institute, 8900 North Kendall Drive, Miami, FL 33176, USA. Electronic address: michaelchu@baptisthealth.net.
² Department of Radiation Oncology, Moffitt Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
³ Department of Radiation Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA.
⁴ Department of Radiation Oncology, University of Iowa, 200 Hawkins Dr, Iowa City, IA 52242, USA.
⁵ Department of Radiation Oncology, University of California Los Angeles, 1338 S Hope Street, Los Angeles, CA 90015, USA.

PMID: 37182995
DOI: 10.1016/j.soc.2023.02.008

Abstract

Image guidance for radiation therapy (RT) has evolved over the last few decades and now is routinely performed using cone-beam computerized tomography (CBCT). Conventional linear accelerators (LINACs) that use CBCT have limited soft tissue contrast, are not able to image the patient's internal anatomy during treatment delivery, and most are not capable of online adaptive replanning. RT delivery systems that use MRI have become available within the last several years and address many of the imaging limitations of conventional LINACs. Herein, the authors review the technical characteristics and advantages of MRI-guided RT as well as emerging clinical outcomes.

Keywords: Image guidance; MRI; Radiation therapy.

Publication types

Review
Research Support, Non-U.S. Gov't

MeSH terms

Cone-Beam Computed Tomography / methods
Humans
Magnetic Resonance Imaging / methods
Particle Accelerators
Radiotherapy Planning, Computer-Assisted / methods
Radiotherapy, Image-Guided* / methods