Integrating radiomics into holomics for personalised oncology: from algorithms to bedside.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_4D7640250026
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Integrating radiomics into holomics for personalised oncology: from algorithms to bedside.
Périodique
European radiology experimental
Auteur⸱e⸱s
Gatta R., Depeursinge A., Ratib O., Michielin O., Leimgruber A.
ISSN
2509-9280 (Electronic)
ISSN-L
2509-9280
Statut éditorial
Publié
Date de publication
07/02/2020
Peer-reviewed
Oui
Volume
4
Numéro
1
Pages
11
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Résumé
Radiomics, artificial intelligence, and deep learning figure amongst recent buzzwords in current medical imaging research and technological development. Analysis of medical big data in assessment and follow-up of personalised treatments has also become a major research topic in the area of precision medicine. In this review, current research trends in radiomics are analysed, from handcrafted radiomics feature extraction and statistical analysis to deep learning. Radiomics algorithms now include genomics and immunomics data to improve patient stratification and prediction of treatment response. Several applications have already shown conclusive results demonstrating the potential of including other "omics" data to existing imaging features. We also discuss further challenges of data harmonisation and management infrastructure to shed a light on the much-needed integration of radiomics and all other "omics" into clinical workflows. In particular, we point to the emerging paradigm shift in the implementation of big data infrastructures to facilitate databanks growth, data extraction and the development of expert software tools. Secured access, sharing, and integration of all health data, called "holomics", will accelerate the revolution of personalised medicine and oncology as well as expand the role of imaging specialists.
Mots-clé
Artificial intelligence, Holomics, Machine learning, Precision medicine, Radiomics
Pubmed
Open Access
Oui
Création de la notice
17/02/2020 15:35
Dernière modification de la notice
15/01/2021 7:09
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