| Literature DB >> 34231224 |
Kiaran P McGee1, Neelam Tyagi2, John E Bayouth3, Minsong Cao4, B Gino Fallone5, Carri K Glide-Hurst6, Frank L Goerner7, Olga L Green8, Taeho Kim9, Eric S Paulson10, Nathan E Yanasak11, Edward F Jackson12, James H Goodwin13, Sonja Dieterich14, David W Jordan15, Geoffrey D Hugo16, Matt A Bernstein1, James M Balter17, Kalpana M Kanal18, John D Hazle19, Norbert J Pelc20.
Abstract
The past decade has seen the increasing integration of magnetic resonance (MR) imaging into radiation therapy (RT). This growth can be contributed to multiple factors, including hardware and software advances that have allowed the acquisition of high-resolution volumetric data of RT patients in their treatment position (also known as MR simulation) and the development of methods to image and quantify tissue function and response to therapy. More recently, the advent of MR-guided radiation therapy (MRgRT) - achieved through the integration of MR imaging systems and linear accelerators - has further accelerated this trend. As MR imaging in RT techniques and technologies, such as MRgRT, gain regulatory approval worldwide, these systems will begin to propagate beyond tertiary care academic medical centers and into more community-based health systems and hospitals, creating new opportunities to provide advanced treatment options to a broader patient population. Accompanying these opportunities are unique challenges related to their adaptation, adoption, and use including modification of hardware and software to meet the unique and distinct demands of MR imaging in RT, the need for standardization of imaging techniques and protocols, education of the broader RT community (particularly in regards to MR safety) as well as the need to continue and support research, and development in this space. In response to this, an ad hoc committee of the American Association of Physicists in Medicine (AAPM) was formed to identify the unmet needs, roadblocks, and opportunities within this space. The purpose of this document is to report on the major findings and recommendations identified. Importantly, the provided recommendations represent the consensus opinions of the committee's membership, which were submitted in the committee's report to the AAPM Board of Directors. In addition, AAPM ad hoc committee reports differ from AAPM task group reports in that ad hoc committee reports are neither reviewed nor ultimately approved by the committee's parent groups, including at the council and executive committee level. Thus, the recommendations given in this summary should not be construed as being endorsed by or official recommendations from the AAPM.Entities:
Keywords: MRgRT; biomarker; magnetic resonance; radiation therapy; safety; simulation
Mesh:
Year: 2021 PMID: 34231224 PMCID: PMC8457147 DOI: 10.1002/mp.14996
Source DB: PubMed Journal: Med Phys ISSN: 0094-2405 Impact factor: 4.071
Fig. 1Distribution of individuals who successfully completed the online stakeholder survey. The survey was sent to 60 individuals of which 53 responded and completed the survey in full.
| Medical physicist (primarily therapy) | 25 | 47.17% |
| Medical physicist (primarily diagnostic) | 12 | 22.64% |
| Radiation oncologist | 9 | 16.98% |
| Radiologist | 3 | 5.66% |
| Other (please specify) | 4 | 7.55% |
| Average | 14 |
| Min | 0 |
| Max | 27 |
| Category | Rank (1 = highest, 12 = lowest) |
|---|---|
| Education and training (for therapy and imaging personnel, including techs, physicists, and physicians) | 3.98 |
| Clinical implementation and workflows for MRsim and MR‐IGRT | 4.06 |
| MR RT‐specific protocols and their optimization | 4.7 |
| Purchase and operating expenses associated with MR simulation and MR‐linacs | 5.89 |
| Staffing (tech, physicist, and Radiology support) | 6.04 |
| Siloing of resources and expertise between Radiology and Radiation Oncology | 6.15 |
| Hardware needs, e.g., RF coils, accommodation, and/or integration of immobilization devices | 6.42 |
| Development of fast and robust online segmentation, deformation, and plan optimization | 6.81 |
| MR safety challenges and/or training | 7.23 |
| Vendor support and collaboration | 8.57 |
| Need for RT‐related imaging biomarker validation | 8.79 |
| Professional issues, i.e., credentialing, continuing education | 9.38 |
| Category | Rank (1 = highest, 9 = lowest) |
|---|---|
| Quality assurance standards/recommendations for MR‐RT and MR‐IGRT | 2.87 |
| Collaboration between MR and RT physicists during initial sitting/planning | 4.21 |
| Hardware (RF coils, accommodation and/or integration of immobilization devices) | 4.32 |
| Staffing | 4.68 |
| Fast and robust online segmentation and deformable registration tools | 5.17 |
| Benchmarking phantoms | 5.28 |
| Real‐time tracking and dose accumulation for MR‐guided RT | 5.66 |
| Comparison datasets | 5.87 |
| Vendor support | 6.94 |
| Category | Rank (1 = highest, 5 = lowest) |
|---|---|
| Peer‐to‐peer training | 2.68 |
| Need for modified curriculum for graduate students and residents (both imaging and therapy) in CAMPEP‐accredited programs | 2.94 |
| Improved society collaborations (AAPM with ISMRM, ASTRO, ACR, and/or RSNA) | 2.96 |
| Dedicated workshop or summer school | 3.06 |
| Certificate program and CE symposium | 3.36 |
| Category | Rank (1 = highest, 5 = lowest) |
|---|---|
| Therapy physicist credentialing (level of education and training in MR) | 2.17 |
| Establishment of staffing guidelines for administrators | 2.45 |
| Radonc credentialing (level of education and training in MR) | 2.72 |
| MR physicist credentialing (level of education and training in therapy) | 3.38 |
| Radiology credentialing (level of education and training in therapy) | 4.28 |
| Category | Rank (1 = highest, 5 = lowest) |
|---|---|
| Improved translation of key research efforts from MR space to therapy | 2.36 |
| Motion management, including 4DMRI, real‐time tracking | 2.49 |
| Development of quantitative MR imaging biomarker measures for earlier detection of malignant diseases, response to therapy, and normal tissue toxicity | 2.94 |
| RT‐specific RF coil development | 3.32 |
| MLC tracking for MR‐guided RT | 3.89 |
| Answer | Count | Percent |
|---|---|---|
| Yes | 19 | 36.54% |
| No | 33 | 63.46% |