A Longitudinal Study to Correlate Neurocognitive Changes of IDH-Mutant and IDH-Wildtype Glioma Patients after Chemoradiotherapy with Changes on Resting-State MRI
Z. Liu , T. Mitchell , C. Luo , J.S. Shimony , K.Y. Park , R. Fucetola , S.M. Perkins , E.C. Leuthardt , A. Snyder , T. Zhu , J. Huang
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引用次数: 0
Abstract
Purpose/Objective(s)
This prospective observational study investigates mechanisms behind neurocognitive function (NCF) decline after partial-brain irradiation in malignant glioma patients. We aim to use resting-state functional MRI (RS-fMRI) to identify the dominant network-level disturbances post-radiation therapy (RT) that correlate with NCF changes.
Materials/Methods
Adult patients with IDH-wildtype or IDH-mutant gliomas underwent NCF test using the NIH Toolbox Cognitive Function Battery at baseline and 6 months post RT. The battery includes fluid cognition tests: dimension change card sort test (executive function), flanker test (attention), picture sequence test (episodic memory), list sorting test (working memory), and pattern comparison test (processing speed). The five test scores were then combined into an age-normalized composite score, from which the percent change of composite (PCC) was calculated relative to the baseline. To determine a potential correlation between NCF and changes in brain functional connectivity (FC), we used seed-based FC analysis from a 12-minute RS-fMRI scan. A split-sample approach was used for analysis, with a 26-patient training set and a 6-patient validation set, iterated 200 times. Within each run, connectivity-regression analysis within the training set was first used to identify which intra- or inter-network FC change was most significantly associated with PCC, and a linear regression was used to predict FC change of the selected networks using the validation set. Permutation test was used to evaluate the significance of network selection, and R2 value was used to evaluate the predictive performance.
Results
From September 2020 to December 2023, there were 43 patients who had baseline data, while 32 patients completed 6-month follow-ups and were evaluable. The mean NCF composite changed from 88.8 (±16.2) at baseline to 91.1 (±19.4) at 6 months. The mean PCC was 2.9 (±13.7), including 12 patients with negative PCC (Decline cohort) and 20 patients with positive PCC (Non-decline cohort). The clinical, treatment, and dosimetric characteristics between two cohorts were not significantly different among 24 variables examined. The mean R2 was 0.36 (±0.27). The most significant correlations with PCC were consistently observed in the inter-network FC changes between Default Mode Network to Medial Temporal Lobe (DMN-MTL, P = 0.005) and Parietal Memory Network to MTL (PMN-MTL, P = 0.02). Sensitivity analyses using only FC maps from the contra-lateral side of the tumor confirmed the same finding.
Conclusion
RS-fMRI changes post RT correlated with NCF decline, suggesting its potential as an imaging biomarker. Specifically, disruption of inter-network FC between DMN-MTL and PMN-MTL may be key mechanism underlying RT-induced NCF decline, warranting further investigation.
期刊介绍:
International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, publishes original laboratory and clinical investigations related to radiation oncology, radiation biology, medical physics, and both education and health policy as it relates to the field.
This journal has a particular interest in original contributions of the following types: prospective clinical trials, outcomes research, and large database interrogation. In addition, it seeks reports of high-impact innovations in single or combined modality treatment, tumor sensitization, normal tissue protection (including both precision avoidance and pharmacologic means), brachytherapy, particle irradiation, and cancer imaging. Technical advances related to dosimetry and conformal radiation treatment planning are of interest, as are basic science studies investigating tumor physiology and the molecular biology underlying cancer and normal tissue radiation response.