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Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO).

Authors :
Boldrini L
D'Aviero A
De Felice F
Desideri I
Grassi R
Greco C
Iorio GC
Nardone V
Piras A
Salvestrini V
Source :
La Radiologia medica [Radiol Med] 2024 Jan; Vol. 129 (1), pp. 133-151. Date of Electronic Publication: 2023 Sep 23.
Publication Year :
2024

Abstract

Introduction: The advent of image-guided radiation therapy (IGRT) has recently changed the workflow of radiation treatments by ensuring highly collimated treatments. Artificial intelligence (AI) and radiomics are tools that have shown promising results for diagnosis, treatment optimization and outcome prediction. This review aims to assess the impact of AI and radiomics on modern IGRT modalities in RT.<br />Methods: A PubMed/MEDLINE and Embase systematic review was conducted to investigate the impact of radiomics and AI to modern IGRT modalities. The search strategy was "Radiomics" AND "Cone Beam Computed Tomography"; "Radiomics" AND "Magnetic Resonance guided Radiotherapy"; "Radiomics" AND "on board Magnetic Resonance Radiotherapy"; "Artificial Intelligence" AND "Cone Beam Computed Tomography"; "Artificial Intelligence" AND "Magnetic Resonance guided Radiotherapy"; "Artificial Intelligence" AND "on board Magnetic Resonance Radiotherapy" and only original articles up to 01.11.2022 were considered.<br />Results: A total of 402 studies were obtained using the previously mentioned search strategy on PubMed and Embase. The analysis was performed on a total of 84 papers obtained following the complete selection process. Radiomics application to IGRT was analyzed in 23 papers, while a total 61 papers were focused on the impact of AI on IGRT techniques.<br />Discussion: AI and radiomics seem to significantly impact IGRT in all the phases of RT workflow, even if the evidence in the literature is based on retrospective data. Further studies are needed to confirm these tools' potential and provide a stronger correlation with clinical outcomes and gold-standard treatment strategies.<br /> (© 2023. Italian Society of Medical Radiology.)

Details

Language :
English
ISSN :
1826-6983
Volume :
129
Issue :
1
Database :
MEDLINE
Journal :
La Radiologia medica
Publication Type :
Academic Journal
Accession number :
37740838
Full Text :
https://doi.org/10.1007/s11547-023-01708-4