Predictors of Toxicity Among Older Adults with Cancer

Martine Extermann; Indrin J Chetty; Stephen L Brown; Mohammed Al-Jumayli; Benjamin Movsas

doi:10.1016/j.semradonc.2021.11.004

Predictors of Toxicity Among Older Adults with Cancer

Semin Radiat Oncol. 2022 Apr;32(2):179-185. doi: 10.1016/j.semradonc.2021.11.004.

Authors

Martine Extermann¹, Indrin J Chetty², Stephen L Brown², Mohammed Al-Jumayli³, Benjamin Movsas²

Affiliations

¹ Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL. Electronic address: martine.extermann@moffitt.org.
² Department of Radiation Oncology, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, MI.
³ Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL.

PMID: 35307121
DOI: 10.1016/j.semradonc.2021.11.004

Abstract

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.

Keywords: CRASH score; Radiation oncology; aging and cancer; artificial intelligence; geriatric oncology; patient reported outcomes; radiation toxicity; radiomics.

Publication types

Review

MeSH terms

Aged
Artificial Intelligence*
Geriatric Assessment
Humans
Neoplasms* / therapy