Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke?

Jacobo Porto-Álvarez
* ,
Antonio Mosqueira Martínez
* ORCID logo ,
Javier Martínez Fernández
,
Marta Sanmartín López
,
Miguel Blanco-Ulla
,
Fernando Vazquez-Herrero
,
José M Pumar
ORCID logo ,
Manuel Rodríguez-Yáñez
ORCID logo ,
Anxo M Minguillón Pereiro
,
Alberto Bolón Villaverde
,
Ramón Iglesias Rey
,
Miguel Souto-Bayarri
Version 1 : Received: 2 August 2023 / Approved: 3 August 2023 / Online: 4 August 2023 (13:20:17 CEST)

A peer-reviewed article of this Preprint also exists.

Porto-Álvarez, J.; Martínez, A.M.; Martínez Fernández, J.; Sanmartín López, M.; Blanco Ulla, M.; Vázquez Herrero, F.; Pumar, J.M.; Rodríguez-Yáñez, M.; Minguillón Pereiro, A.M.; Bolón Villaverde, A.; Iglesias Rey, R.; Souto-Bayarri, M. How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke? Appl. Sci. 2023, 13, 10061. Porto-Álvarez, J.; Martínez, A.M.; Martínez Fernández, J.; Sanmartín López, M.; Blanco Ulla, M.; Vázquez Herrero, F.; Pumar, J.M.; Rodríguez-Yáñez, M.; Minguillón Pereiro, A.M.; Bolón Villaverde, A.; Iglesias Rey, R.; Souto-Bayarri, M. How Can Radiomics Help the Clinical Management of Patients with Acute Ischemic Stroke? Appl. Sci. 2023, 13, 10061.

Abstract

Acute ischemic stroke (AIS) is the loss of neurological function due to a sudden reduction in cerebral blood flow and is a leading cause of disability and death worldwide. In recent years, the field of radiological imaging has experienced an explosion that may reach unprecedented heights with the advent of artificial intelligence. One of the latest innovations in artificial intelligence is radiomics, which is based on the fact that a large amount of quantitative data can be extracted from radiological images, from which patterns can be identified and associated with specific pathologies. Since its inception, radiomics has been particularly associated with the field of oncology, with promising results in a wide range of clinical situations. The performance of radiomics in non-tumour pathologies has been increasingly explored in recent years and the results continue to be promising. The aim of this review is to explore the potential applications of radiomics in AIS patients and to theorise how radiomics may change the paradigm for these patients in the coming years.

Keywords

Acute ischemic stroke; AIS; radiomics; artificial intelligence; AI; neuroradiology; neurology.

Subject

Medicine and Pharmacology, Neuroscience and Neurology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.