Interventional Oncology: 2024 Update.
Ruben GeevargheseSylvain BodardLeo RazakamanantsoaClement MarcelinElena N PetreAnthony DohanAdrian KastlerJulien FrandonMatthias BarralPhilippe SoyerFrançois H CornelisPublished in: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2024)
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.
Keyphrases
- artificial intelligence
- high resolution
- big data
- palliative care
- machine learning
- healthcare
- computed tomography
- magnetic resonance imaging
- physical activity
- fluorescence imaging
- deep learning
- single cell
- climate change
- case report
- cone beam
- positron emission tomography
- quantum dots
- combination therapy
- image quality
- real time pcr
- clinical evaluation