Interventional Oncology: 2024 Update.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Canadian Association of Radiologists Journal-Journal De L Association Canadienne Des Radiologistes Pub Date : 2024-08-01 Epub Date: 2024-03-05 DOI:10.1177/08465371241236152
Ruben Geevarghese, Sylvain Bodard, Leo Razakamanantsoa, Clement Marcelin, Elena N Petre, Anthony Dohan, Adrian Kastler, Julien Frandon, Matthias Barral, Philippe Soyer, François H Cornelis
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Abstract

Interventional Oncology (IO) stands at the forefront of transformative cancer care, leveraging advanced imaging technologies and innovative interventions. This narrative review explores recent developments within IO, highlighting its potential impact facilitated by artificial intelligence (AI), personalized medicine and imaging innovations. The integration of AI in IO holds promise for accelerating tumour detection and characterization, guiding treatment strategies and refining predictive models. Imaging modalities, including functional MRI, PET and cone beam CT are reshaping imaging and precision. Navigation, fusion imaging, augmented reality and robotics have the potential to revolutionize procedural guidance and offer unparalleled accuracy. New developments are observed in embolization and ablative therapies. The pivotal role of genomics in treatment planning, targeted therapies and biomarkers for treatment response prediction underscore the personalization of IO. Quality of life assessment, minimizing side effects and long-term survivorship care emphasize patient-centred outcomes after IO treatment. The evolving landscape of IO training programs, simulation technologies and workforce competence ensures the field's adaptability. Despite barriers to adoption, synergy between interventional radiologists' proficiency and technological advancements hold promise in cancer care.

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介入肿瘤学:2024 年更新。
介入肿瘤学(IO)利用先进的成像技术和创新的干预手段,站在了变革性癌症治疗的前沿。这篇叙述性综述探讨了介入肿瘤学的最新发展,强调了人工智能(AI)、个性化医疗和成像创新对其产生的潜在影响。在 IO 中整合人工智能有望加快肿瘤检测和定性、指导治疗策略和完善预测模型。包括功能性核磁共振成像、正电子发射计算机断层显像和锥形束 CT 在内的成像模式正在重塑成像和精确度。导航、融合成像、增强现实技术和机器人技术有可能彻底改变程序引导,并提供无与伦比的准确性。栓塞和烧蚀疗法也有了新的发展。基因组学在治疗规划、靶向治疗和治疗反应预测生物标志物方面的关键作用,凸显了 IO 的个性化。生活质量评估、副作用最小化和长期生存护理强调了 IO 治疗后以患者为中心的结果。不断发展的 IO 培训计划、模拟技术和劳动力能力确保了该领域的适应性。尽管在采用方面存在障碍,但介入放射医师的熟练程度与技术进步之间的协同作用为癌症护理带来了希望。
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来源期刊
CiteScore
6.20
自引率
12.90%
发文量
98
审稿时长
6-12 weeks
期刊介绍: The Canadian Association of Radiologists Journal is a peer-reviewed, Medline-indexed publication that presents a broad scientific review of radiology in Canada. The Journal covers such topics as abdominal imaging, cardiovascular radiology, computed tomography, continuing professional development, education and training, gastrointestinal radiology, health policy and practice, magnetic resonance imaging, musculoskeletal radiology, neuroradiology, nuclear medicine, pediatric radiology, radiology history, radiology practice guidelines and advisories, thoracic and cardiac imaging, trauma and emergency room imaging, ultrasonography, and vascular and interventional radiology. Article types considered for publication include original research articles, critically appraised topics, review articles, guest editorials, pictorial essays, technical notes, and letter to the Editor.
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