The use of magnetic resonance imaging in radiation therapy treatment simulation and planning Review
| Authors: | McGee, K. P.; Cao, M.; Das, I. J.; Yu, V.; Witte, R. J.; Kishan, A. U.; Valle, L. F.; Wiesinger, F.; De-Colle, C.; Cao, Y.; Breen, W. G.; Traughber, B. J. |
| Review Title: | The use of magnetic resonance imaging in radiation therapy treatment simulation and planning |
| Abstract: | Ever since its introduction as a diagnostic imaging tool the potential of magnetic resonance imaging (MRI) in radiation therapy (RT) treatment simulation and planning has been recognized. Recent technical advances have addressed many of the impediments to use of this technology and as a result have resulted in rapid and growing adoption of MRI in RT. The purpose of this article is to provide a broad review of the multiple uses of MR in the RT treatment simulation and planning process, identify several of the most used clinical scenarios in which MR is integral to the simulation and planning process, highlight existing limitations and provide multiple unmet needs thereby highlighting opportunities for the diagnostic MR imaging community to contribute and collaborate with our oncology colleagues. Evidence Level: 5. Technical Efficacy: Stage 5. © 2024 International Society for Magnetic Resonance in Medicine. |
| Keywords: | review; liver cell carcinoma; treatment planning; cancer radiotherapy; radiation dose; nuclear magnetic resonance imaging; magnetic resonance imaging; clinical practice; neoplasm; neoplasms; computer assisted tomography; breast cancer; radiotherapy; diagnostic imaging; prostate cancer; image quality; nuclear magnetic resonance spectroscopy; radiation therapy; computer simulation; radiotherapy planning, computer-assisted; rectum cancer; diffusion weighted imaging; gross tumor volume; clinical target volume; image segmentation; image guided radiotherapy; conventional radiotherapy; procedures; organs at risk; planning target volume; rectum mucosa; radiotherapy, image-guided; three-dimensional imaging; four dimensional computed tomography; humans; human; radiotherapy planning system; deep learning; radiation therapy treatment simulation |
| Journal Title: | Journal of Magnetic Resonance Imaging |
| Volume: | 60 |
| Issue: | 5 |
| ISSN: | 1053-1807 |
| Publisher: | Wiley Blackwell |
| Date Published: | 2024-11-01 |
| Start Page: | 1786 |
| End Page: | 1805 |
| Language: | English |
| DOI: | 10.1002/jmri.29246 |
| PUBMED: | 38265188 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Review -- Source: Scopus |
