Radiomics-guided radiation therapy: opportunities and challenges.
imaging features
individualized radiotherapy
personalized medicine
radiation therapy
radiomics
Journal
Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220
Informations de publication
Date de publication:
13 06 2022
13 06 2022
Historique:
received:
13
12
2021
accepted:
13
05
2022
pubmed:
14
5
2022
medline:
16
6
2022
entrez:
13
5
2022
Statut:
epublish
Résumé
Radiomics is an advanced image-processing framework, which extracts image features and considers them as biomarkers towards personalized medicine. Applications include disease detection, diagnosis, prognosis, and therapy response assessment/prediction. As radiation therapy aims for further individualized treatments, radiomics could play a critical role in various steps before, during and after treatment. Elucidation of the concept of radiomics-guided radiation therapy (RGRT) is the aim of this review, attempting to highlight opportunities and challenges underlying the use of radiomics to guide clinicians and physicists towards more effective radiation treatments. This work identifies the value of RGRT in various steps of radiotherapy from patient selection to follow-up, and subsequently provides recommendations to improve future radiotherapy using quantitative imaging features.
Identifiants
pubmed: 35561699
doi: 10.1088/1361-6560/ac6fab
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Creative Commons Attribution license.