Ramiah Duvern, Mmereki Daniel
Division of Radiation Oncology, Department of Radiation Sciences, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Clin Med Insights Oncol. 2024 Dec 13;18:11795549241303606. doi: 10.1177/11795549241303606. eCollection 2024.
The promise of novel technologies to increase access to radiotherapy in low- and middle-income countries (LMICs) is crucial, given that the cost of equipping new radiotherapy centres or upgrading existing machinery remains a major obstacle to expanding access to cancer treatment. The study aims to provide a thorough analysis overview of how technological advancement may revolutionize radiotherapy (RT) to improve level of care provided to cancer patients. A comprehensive literature review following some steps of systematic review (SLR) was performed using the Web of Science (WoS), PubMed, and Scopus databases. The study findings are classified into different technologies. Artificial intelligence (AI), knowledge-based planning, remote planning, radiotherapy, and scripting are all ways to increase patient flow across radiation oncology, including initial consultation, treatment planning, delivery, verification, and patient follow-up. This review found that these technologies improve delineation of organ at risks (OARs) and considerably reduce waiting times when compared with conventional treatment planning in RT. In this review, AI, knowledge-based planning, remote radiotherapy treatment planning, and scripting reduced waiting times and improved organ at-risk delineation compared with conventional RT treatment planning. A combination of these technologies may lower cancer patients' risk of disease progression due to reduced workload, quality of therapy, and individualized treatment. Efficiency tools, such as the application of AI, knowledge-based planning, remote radiotherapy planning, and scripting, are urgently needed to reduce waiting times and improve OAR delineation accuracy in cancer treatment compared with traditional treatment planning methods. The study's contribution is to present the potential of technological advancement to optimize RT planning process, thereby improving patient care and resource utilization. The study may be extended in the future to include digital integration and technology's impact on patient safety, outcomes, and risk. Therefore, in radiotherapy, research on more efficient tools pioneers the development and implementation of high-precision radiotherapy for cancer patients.
鉴于在低收入和中等收入国家(LMICs)配备新的放疗中心或升级现有设备的成本仍然是扩大癌症治疗可及性的主要障碍,新技术有望增加这些国家放疗服务的可及性,这一点至关重要。本研究旨在全面分析技术进步如何彻底改变放射治疗(RT),以提高为癌症患者提供的护理水平。我们使用科学网(WoS)、PubMed和Scopus数据库,按照系统评价(SLR)的一些步骤进行了全面的文献综述。研究结果按不同技术分类。人工智能(AI)、基于知识的计划、远程计划、放射治疗和脚本编写都是增加整个放射肿瘤学患者流量的方法,包括初始咨询、治疗计划、治疗实施、验证和患者随访。本综述发现,与传统放疗治疗计划相比,这些技术改善了危及器官(OARs)的勾画,并显著减少了等待时间。在本综述中,与传统放疗治疗计划相比,人工智能、基于知识的计划、远程放射治疗计划和脚本编写减少了等待时间,并改善了危及器官的勾画。这些技术的组合可能会降低癌症患者因工作量减少、治疗质量和个性化治疗而导致疾病进展的风险。与传统治疗计划方法相比,迫切需要效率工具,如应用人工智能、基于知识的计划、远程放射治疗计划和脚本编写,以减少等待时间并提高癌症治疗中危及器官勾画的准确性。该研究的贡献在于展示了技术进步在优化放疗计划过程方面的潜力,从而改善患者护理和资源利用。该研究未来可能会扩展,以纳入数字整合以及技术对患者安全、结局和风险的影响。因此,在放射治疗中,对更高效工具的研究开创了为癌症患者开发和实施高精度放射治疗的先河。