Predictors of Toxicity Among Older Adults with Cancer.

Aged Artificial Intelligence Geriatric Assessment Humans Neoplasms / therapy
CRASH score Radiation oncology aging and cancer artificial intelligence geriatric oncology patient reported outcomes radiation toxicity radiomics

Journal

Seminars in radiation oncology
ISSN: 1532-9461
Titre abrégé: Semin Radiat Oncol
Pays: United States
ID NLM: 9202882

Informations de publication

Date de publication:
04 2022
Historique:
entrez: 21 3 2022
pubmed: 22 3 2022
medline: 26 4 2022
Statut: ppublish

Résumé

An increasing number of cancer patients are of advanced age as the incidence of cancer increases with age. In this article, the clinical predictors of toxicity that may help in treatment selection are addressed, as well as mitigators of toxicity. The potential of artificial intelligence to enable further progress in the understanding of the interaction of age and tolerance to radiation is reviewed. The final section reviews the literature on patient-related outcomes for older patients.

Identifiants

DOI: 10.1016/j.semradonc.2021.11.004 PMID: 35307121
pubmed: 35307121
pii: S1053-4296(21)00072-2
doi: 10.1016/j.semradonc.2021.11.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

179-185

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Martine Extermann (M)

Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL. Electronic address: martine.extermann@moffitt.org.

Indrin J Chetty (IJ)

Department of Radiation Oncology, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI.

Stephen L Brown (SL)

Department of Radiation Oncology, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI.

Mohammed Al-Jumayli (M)

Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL.

Benjamin Movsas (B)

Department of Radiation Oncology, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Predictors of Toxicity Among Older Adults with Cancer.
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Intelligence artificielle › Predictors of Toxicity Among Older Adults with Cancer.
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Évaluation gériatrique › Predictors of Toxicity Among Older Adults with Cancer.
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Predictors of Toxicity Among Older Adults with Cancer.
questionsmedicales.fr › Tumeurs › Predictors of Toxicity Among Older Adults with Cancer.