Interventional Oncology: 2024 Update

Author:

Geevarghese Ruben1,Bodard Sylvain1ORCID,Razakamanantsoa Leo2ORCID,Marcelin Clement3,Petre Elena N.1,Dohan Anthony45,Kastler Adrian6,Frandon Julien7,Barral Matthias2,Soyer Philippe45ORCID,Cornelis François H.128ORCID

Affiliation:

1. Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA

2. Department of Radiology, Sorbonne University, Hopital Tenon, Paris, France

3. Department of Radiology, Bordeaux University, Hopital Pellegrin, Bordeaux, France

4. Department of Radiology, Hopital Cochin, AP-HP, Paris, France

5. Faculté de Médecine, Université Paris Cité, Paris, France

6. Department of Radiology, Grenoble University Hospital, Grenoble, France

7. Department of Radiology, Nimes University Hospital, Nimes, France

8. Weill Cornell Medical College, New York, NY, USA

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.

Funder

NIH/NCI Cancer Center Support

Publisher

SAGE Publications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Applied Mathematics Revolution in Interventional Radiology;Canadian Association of Radiologists Journal;2024-07-23

2. The Emergence of robotics in liver interventional radiology: Navigating New Frontiers;European Journal of Radiology;2024-06

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