Multi-institutional validation of a preoperative scoring system which predicts survival for patients with glioblastoma
Open accessAbstract
Glioblastoma is the most common and aggressive type of primary brain tumor in adults. Average survival is approximately 1 year, but individual survival is heterogeneous. Using a single institutional experience, we have previously identified preoperative factors associated with survival and devised a prognostic scoring system based on these factors. The aims of the present study are to validate these preoperative factors and verify the efficacy of this scoring system using a multi-institutional cohort. Of the 334 patients in this study from three different institutions, the preoperative factors found to be negatively associated with survival in a Cox analysis were age >60 years (p<0.0001), Karnofsky Performance Scale score ≤80 (p=0.03), motor deficit (p=0.02), language deficit (p=0.04), and periventricular tumor location (p=0.04). Patients possessing 0-1, 2, 3, and 4-5 of these variables were assigned a preoperative grade of 1, 2, 3, and 4, respectively. Patients with a preoperative grade of 1, 2, 3, and 4 had a median survival of 17.9, 12.3, 10, and 7.5 months, respectively. Survival of each of these grades was statistically significant (p<0.05) in log-rank analysis. This grading system, based only on preoperative variables, may provide patients and physicians with prognostic information that may guide medical and surgical therapy before any intervention is pursued.
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Varying characteristics of the multi-parametric MRI data due to scanner hardware and acquisition protocol differences were handled at each collaborating site via established harmonized preprocessing pipelines.
“Moreover, varying characteristics of the mpMRI data due to scanner hardware and acquisition protocol differences33,34 were handled at each collaborating site via established harmonized preprocessing pipelines35–39.”
From Federated learning enables big data for rare cancer boundary detection (2022) · cites this paper as [33]
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References 23 · Cited by 43
Research works printed but not linked: 1
- [9]McGirt MJ Chaichana KL Gathinji M Independent association of extent of resection with survival in patients with malignant brain astrocytoma J Neurosurg 2009 110 156 62 18847342
- Authors
- Chaichana, K. L., Pendleton, C., Chambless, L., Camara-Quintana, J., Nathan, J. K., Hassam-Malani, L., Li, G., Harsh, G. R., Thompson, R. C., Lim, M., & Quinones-Hinojosa, A.
- Affiliations
- Johns Hopkins University (US)
- Vanderbilt University (US)
- Stanford Medicine (US)
- Corresponding author
- Chaichana, Kaisorn L.
- ORCID
- Venue
- Journal of Clinical Neuroscience
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 20
- Issue
- 10
- Pages
- 1422-1426
- ISSN
- 0967-5868 (ISSN-L)
- PMC
- PMC4086640
- OpenAlex
- W2140165290
- Cited by
- 43
- References
- 23
- Citations by year
- 2026: 1 · 2025: 1 · 2022: 4 · 2021: 3 · 2019: 4 · 2018: 4 · 2017: 6 · 2016: 9 · 2015: 6 · 2014: 5
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (P30CA006973)
- Topics
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
- Keywords
- glioblastoma, prognostic score, survival prediction, preoperative factors, Karnofsky performance status, age, motor impairment, language deficits, multi-institutional validation, primary brain tumors
- MeSH terms
- Aged, Brain Neoplasms, Female, Glioblastoma, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Preoperative Care, Prognosis, Reproducibility of Results, Cohort Studies, Treatment Outcome, Kaplan-Meier Estimate
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