Insights Imaging. 2019 Jan 28;10(1):7. doi: 10.1186/s13244-019-0684-z.
This Strategic Research Agenda identifies current challenges and needs in healthcare, illustrates how biomedical imaging and derived data can help to address these, and aims to stimulate dedicated research funding efforts.Medicine is currently moving towards a more tailored, patient-centric approach by providing personalised solutions for the individual patient. Innovation in biomedical imaging plays a key role in this process as it addresses the current needs for individualised prevention, treatment, therapy response monitoring, and image-guided surgery.The use of non-invasive biomarkers facilitates better therapy prediction and monitoring, leading to improved patient outcomes. Innovative diagnostic imaging technologies provide information about disease characteristics which, coupled with biological, genetic and -omics data, will contribute to an individualised diagnosis and therapy approach.In the emerging field of theranostics, imaging tools together with therapeutic agents enable the selection of best treatments and allow tailored therapeutic interventions.For prenatal monitoring, the use of innovative imaging technologies can ensure an early detection of malfunctions or disease.The application of biomedical imaging for diagnosis and management of lifestyle-induced diseases will help to avoid disease development through lifestyle changes.Artificial intelligence and machine learning in imaging will facilitate the improvement of image interpretation and lead to better disease prediction and therapy planning.As biomedical imaging technologies and analysis of existing imaging data provide solutions to current challenges and needs in healthcare, appropriate funding for dedicated research is needed to implement the innovative approaches for the wellbeing of citizens and patients.
本战略研究议程确定了医疗保健领域当前面临的挑战和需求，阐述了生物医学成像及衍生数据如何有助于应对这些挑战和需求，并旨在推动专项研究资金投入。医学目前正朝着更具针对性、以患者为中心的方向发展，为个体患者提供个性化解决方案。生物医学成像领域的创新在这一过程中发挥着关键作用，因为它满足了当前对个性化预防、治疗、治疗反应监测和图像引导手术的需求。使用非侵入性生物标志物有助于更好地预测和监测治疗效果，从而改善患者预后。创新的诊断成像技术可提供有关疾病特征的信息，这些信息与生物、基因和组学数据相结合，将有助于实现个性化诊断和治疗方法。在新兴的治疗诊断学领域，成像工具与治疗药物相结合，能够选择最佳治疗方案并实现个性化治疗干预。对于产前监测，使用创新成像技术可确保早期发现功能异常或疾病。将生物医学成像应用于生活方式引起的疾病的诊断和管理，将有助于通过改变生活方式避免疾病发展。成像领域的人工智能和机器学习将有助于改进图像解读，实现更好的疾病预测和治疗规划。由于生物医学成像技术以及对现有成像数据的分析为医疗保健领域当前的挑战和需求提供了解决方案，因此需要为专项研究提供适当资金，以实施造福公民和患者的创新方法。
