Future of Team-based Basic and Translational Science in Radiation Oncology.

To further optimize radiotherapy, a more personalized treatment towards individual patient's risk profiles, dissecting both patient-specific tumor and normal tissue response to multimodality treatments is needed. Novel developments in radiobiology, using in vitro patient-specific complex tissue resembling 3D models and multiomics approaches at a spatial single-cell level, may provide unprecedented insight into the radiation responses of tumors and normal tissue. Here, we describe the necessary team effort, including all disciplines in radiation oncology, to integrate such data into clinical prediction models and link the relatively "big data" from the clinical practice, allowing accurate patient stratification for personalized treatment approaches.

The Future of Safety and Quality in Radiation Oncology.

The increasing complexity of radiation therapy treatment presents new potentials for error and suboptimal care. High-performing programs thus not only require adherence to, but also ongoing improvement of, key safety and quality practices. In this article, we review these practices including standardization, risk analysis, peer review, and maintenance of strong safety culture, while also describing recent innovations and promising future directions. We specifically highlight the growing role of artificial intelligence in radiation oncology, both as a tool to deliver safe, high-quality care and as a potential new source of safety challenges.

Safe Hypofractionation Amid Diverse Technologies: Using Teamwork to Manage the Complexity.

Radiation oncology caregivers worldwide are dedicated to advancing cancer treatment with the ultimate goal of eradicating the disease. Recognizing the inherent complexity of cancer treatment using hypo-fractionation radiotherapy (HFRT), these caregivers are committed to exploring avenues for progress and providing personalized care to each patient. Strong teams and effective workflows are an essential component to implementing safe HFRT. Every patient presents unique challenges, and as a united team of clinical and administrative professionals, radiation oncology care teams strive to drive advancements and streamline complexities in their field, guided by continuous technological innovation.

Future of Multidisciplinary Team in the Context of Adaptive Therapy.

The implementation and early adoption of online adaptive radiotherapy (oART) has required the presence of clinicians, physicists and radiation therapists (RTT) at the treatment console. The impact on each of them is unique to their profession and must be considered for safe and efficient implementation. In the short term future, widespread adoption will depend on the development of innovative workflows, and rethinking of traditional roles and responsibilities may be required. For the future, technologies such as artificial intelligence promise to change the workflow significantly in terms of speed, automation and decision-making. However, overall communication within the team will persist in being one of the most important aspects.

ROCR: Modernizing Radiation Oncology Payment to Embrace Innovation and Better Care.

Data demonstrates that hypofractionation is increasingly utilized based on evidence-based guidelines. The outdated Medicare fee-for-service approach penalizes radiation oncology (RO) practices from adopting hypofractionation, even as many patients benefit. To address the flawed fee-for-service payment system, which rewards volume over value, ASTRO introduced the Radiation Oncology Case Rate (ROCR) Value-Based Payment Program. ROCR shifts payment for RO services from fee-for-service to payment per patient or per episode. To address disparities, ROCR provides an evidence-based approach through the Health Equity Achievement in Radiation Therapy (HEART) initiative, providing transportation assistance payment for the underserved. Additionally, ROCR allows practices sufficient capital to maintain existing equipment and invest in new technology. This increases patient access to technological advancements allowing for more efficient, targeted, and personalized care with improved patient outcomes at a lower overall cost.

Global Workforce and Access: Demand, Education, Quality.

There has long existed a substantial disparity in access to radiotherapy globally. This issue has only been exacerbated as the growing disparity of cancer incidence between high-income countries (HIC) and low and middle-income countries (LMICs) widens, with a pronounced increase in cancer cases in LMICs. Even within HICs, iniquities within local communities may lead to a lack of access to care. Due to these trends, it is imperative to find solutions to narrow global disparities. This requires the engagement of a diverse cohort of stakeholders, including working professionals, non-governmental organizations, nonprofits, professional societies, academic and training institutions, and industry. This review brings together a diverse group of experts to highlight critical areas that could help reduce the current global disparities in radiation oncology. Advancements in technology and treatment, such as artificial intelligence, brachytherapy, hypofractionation, and digital networks, in combination with implementation science and novel funding mechanisms, offer means for increasing access to care and education globally. Common themes across sections reveal how utilizing these new innovations and strengthening collaborative efforts among stakeholders can help improve access to care globally while setting the framework for the next generation of innovations.

Future of Telemedicine in Radiation Oncology.

Telemedicine allows providers and patients to communicate without being in the same room through video platforms or telephone. Like the increased use of telework for businesses, telemedicine exploded during the pandemic. While many workplaces and clinics have returned to some level of in-person interactions, the convenience and comfort have given telemedicine staying power. Patients can be seen from the comfort of their homes; family members can join from the same or a different location. Driving, obtaining childcare, or taking time off from work is unnecessary. Pediatric patients' parents can pull them into the conversation at appropriate times and avoid the awkwardness of having them leave for portions of the discussion. Because virtual visits are more efficient for everyone, they can often be scheduled sooner than an in-person visit. While not every visit can be done without the patient physically with the provider, many can. This is particularly true for cancer patients, who often have several visits with multiple providers. For immunocompromised patients, there is an added benefit of avoiding exposure from travel and a hospital visit. Oncology and radiation oncology practices have widely adopted telemedicine. While legal and logistical barriers exist in some areas of the world, these are sure to be resolved to make this medicine feasible for all in the modern era.

Advancing the Collaboration Between Imaging and Radiation Oncology.

The fusion of cutting-edge imaging technologies with radiation therapy (RT) has catalyzed transformative breakthroughs in cancer treatment in recent decades. It is critical for us to review our achievements and preview into the next phase for future synergy between imaging and RT. This paper serves as a review and preview for fostering collaboration between these two domains in the forthcoming decade. Firstly, it delineates ten prospective directions ranging from technological innovations to leveraging imaging data in RT planning, execution, and preclinical research. Secondly, it presents major directions for infrastructure and team development in facilitating interdisciplinary synergy and clinical translation. We envision a future where seamless integration of imaging technologies into RT will not only meet the demands of RT but also unlock novel functionalities, enhancing accuracy, efficiency, safety, and ultimately, the standard of care for patients worldwide.

The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients-surgeons, medical oncologists, and radiation oncologists-on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.

Implementing a Nurse-Driven Pregnancy Screening Protocol in the Radiation Oncology Setting.

Verification of pregnancy status prior to initiating radiation treatment for cancer is important to preserve patient and fetal safety. However, many institutions lack clear guidelines for pregnancy screening prior to treatmen.

Large Language Models to Help Appeal Denied Radiotherapy Services.

PURPOSE: Large language model (LLM) artificial intelligences may help physicians appeal insurer denials of prescribed medical services, a task that delays patient care and contributes to burnout. We evaluated LLM performance at this task for denials of radiotherapy services. METHODS: We evaluated generative pretrained transformer 3.5 (GPT-3.5; OpenAI, San Francisco, CA), GPT-4, GPT-4 with internet search functionality (GPT-4web), and GPT-3.5ft. The latter was developed by fine-tuning GPT-3.5 via an OpenAI application programming interface with 53 examples of appeal letters written by radiation oncologists. Twenty test prompts with simulated patient histories were programmatically presented to the LLMs, and output appeal letters were scored by three blinded radiation oncologists for language representation, clinical detail inclusion, clinical reasoning validity, literature citations, and overall readiness for insurer submission. RESULTS: Interobserver agreement between radiation oncologists' scores was moderate or better for all domains (Cohen's kappa coefficients: 0.41-0.91). GPT-3.5, GPT-4, and GPT-4web wrote letters that were on average linguistically clear, summarized provided clinical histories without confabulation, reasoned appropriately, and were scored useful to expedite the insurance appeal process. GPT-4 and GPT-4web letters demonstrated superior clinical reasoning and were readier for submission than GPT-3.5 letters (P < .001). Fine-tuning increased GPT-3.5ft confabulation and compromised performance compared with other LLMs across all domains (P < .001). All LLMs, including GPT-4web, were poor at supporting clinical assertions with existing, relevant, and appropriately cited primary literature. CONCLUSION: When prompted appropriately, three commercially available LLMs drafted letters that physicians deemed would expedite appealing insurer denials of radiotherapy services. LLMs may decrease this task's clerical workload on providers. However, LLM performance worsened when fine-tuned with a task-specific, small training data set.

Frailty assessment in geriatric radiation oncology.

Older adults with cancer are at risk of over-treatment or under-treatment, and treatment decision-making is difficult due to both the complexity of adverse aging and under-representation in clinical trials. It is recommended to perform a frailty assessment before treatment decision-making. Although the importance of radiotherapy increases in geriatric oncology, there is less evidence base information on frailty assessment in radiation oncology than in medical/surgical oncology. The present literature review analyzed the available data regarding frailty assessment tools in geriatric radiation oncology. The predictive value of geriatric assessment on survival outcomes has been shown in many cancer subtypes treated with radiotherapy. Additionally, the Geriatric-8 score is the most evidenced screening tool in frailty assessment. However, researches are ongoing on the cut-off points of geriatric screening tools and which one is the best. Prospective randomized controlled trials are required for the integration of geriatric screening tools and geriatric assessment-driven interventions into geriatric radiation oncology practice.