Clinical Benefit of Using Molecular Profiling to Determine an Individualized Treatment Plan for Patients With High Grade Glioma
NCT03739372
Astrocytoma, Cancer
San Diego, California, United States
View Trial DetailsNCT Number: NCT06885333
Although surgical resection improves overall survival in patients with diffuse Low-grade gliomas (DLGG), it can also result in deterioration of neurocognitive function, which are poorly understood and lack effective predictive models. This study aims to develop a model using whole-brain tumor burden metrics, inflammatory and molecular markers for predicting high risk of neurocognitive decline (ND) postoperatively. The study involved 192 patients with left frontal DLGG. MRI data were analyzed to derive whole-brain tumor burden metrics, including tumor radiomics, whole-brain cortical thickness, myelin content, and network characteristics. postoperative inflammatory and molecular markers were collected. Postoperative follow-up neurocognitive function was assessed using the Montreal Cognitive Assessment at 3 months and 1 year. Machine learning models were constructed using Pycaret.
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Notify Me18 year–65 year
All sexes
Observational
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 3 month
p neurocognitive function was assessed using the Montreal Cognitive Assessment
West China Hospital
Other
Integrating Whole-Brain Tumor Burden Metrics with Inflammatory and Molecular Markers to Predict Postoperative Neurocognitive Decline in Glioma Patients -a Prospective Cohort Study
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