Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models?

C. Nieder; M.P. Mehta; M. Guckenberger; L.E. Gaspar; C.G. Rusthoven; A. Sahgal; A.L. Grosu; D. De Ruysscher

doi:10.1016/j.radonc.2021.02.038

Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models?

C. Nieder^*, M.P. Mehta, M. Guckenberger, L.E. Gaspar, C.G. Rusthoven, A. Sahgal, A.L. Grosu, D. De Ruysscher

^*Corresponding author for this work

Research output: Contribution to journal › (Systematic) Review article › peer-review

Abstract

Survival prediction models may serve as decision-support tools for clinicians who have to assign the right treatment to each patient, in a manner whereby harmful over- or undertreatment is avoided as much as possible. Current models differ regarding their components, the overall number of components and the weighting of individual components. Some of the components are easy to assess, such as age or primary tumor type. Others carry the risk of inter-assessor inconsistency and time-dependent variation. The present publication focuses on issues related to assessment of extracranial metastases and potential surrogates, e.g. blood biomarkers. It identifies areas of controversy and provides recommendations for future research projects, which may contribute to prognostic models with improved accuracy. (c) 2021 Elsevier B.V. All rights reserved. Radiotherapy and Oncology 159 (2021) 17-20

Original language	English
Pages (from-to)	17-20
Number of pages	4
Journal	Radiotherapy and Oncology
Volume	159
DOIs	https://doi.org/10.1016/j.radonc.2021.02.038
Publication status	Published - 1 Jun 2021

Keywords

Brain metastases
Extracranial metastases
Prognostic score
Radiotherapy
Survival prediction
GRADED PROGNOSTIC ASSESSMENT
PERFORMANCE STATUS ASSESSMENT
CELL LUNG-CANCER
STEREOTACTIC RADIOSURGERY
OLIGOMETASTATIC DISEASE
SUPPORTIVE CARE
RECOMMENDATIONS
RADIOTHERAPY
BIOMARKER
PHASE-3

Access to Document

10.1016/j.radonc.2021.02.038

Cite this

Nieder, C., Mehta, M. P., Guckenberger, M., Gaspar, L. E., Rusthoven, C. G., Sahgal, A., Grosu, A. L., & De Ruysscher, D. (2021). Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models? Radiotherapy and Oncology, 159, 17-20. https://doi.org/10.1016/j.radonc.2021.02.038

@article{93426abee7d3483bb47132f21917e6ea,

title = "Assessment of extracranial metastatic disease in patients with brain metastases: How much effort is needed in the context of evolving survival prediction models?",

abstract = "Survival prediction models may serve as decision-support tools for clinicians who have to assign the right treatment to each patient, in a manner whereby harmful over- or undertreatment is avoided as much as possible. Current models differ regarding their components, the overall number of components and the weighting of individual components. Some of the components are easy to assess, such as age or primary tumor type. Others carry the risk of inter-assessor inconsistency and time-dependent variation. The present publication focuses on issues related to assessment of extracranial metastases and potential surrogates, e.g. blood biomarkers. It identifies areas of controversy and provides recommendations for future research projects, which may contribute to prognostic models with improved accuracy. (c) 2021 Elsevier B.V. All rights reserved. Radiotherapy and Oncology 159 (2021) 17-20",

keywords = "Brain metastases, Extracranial metastases, Prognostic score, Radiotherapy, Survival prediction, GRADED PROGNOSTIC ASSESSMENT, PERFORMANCE STATUS ASSESSMENT, CELL LUNG-CANCER, STEREOTACTIC RADIOSURGERY, OLIGOMETASTATIC DISEASE, SUPPORTIVE CARE, RECOMMENDATIONS, RADIOTHERAPY, BIOMARKER, PHASE-3",

author = "C. Nieder and M.P. Mehta and M. Guckenberger and L.E. Gaspar and C.G. Rusthoven and A. Sahgal and A.L. Grosu and {De Ruysscher}, D.",

year = "2021",

month = jun,

day = "1",

doi = "10.1016/j.radonc.2021.02.038",

language = "English",

volume = "159",

pages = "17--20",

journal = "Radiotherapy and Oncology",