ArticleNeuro-oncology2022
BOLD asynchrony elucidates tumor burden in IDH-mutated gliomas.
Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 22 citations in OpenAlex.
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- Leveraging Task FMRI Data to Extract Resting-State Metrics in Brain Tumor and Healthy Populations.Clinical neuroradiology · 2026Article
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- High peritumoral network connectedness in glioblastoma reveals a distinct epigenetic signature and is associated with decreased overall survival.Neuro-oncology · 2025Article
- Research Progress on Glioma Microenvironment and Invasiveness Utilizing Advanced Multi-Parametric Quantitative MRI.Cancers · 2024Review
- Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma.NPJ digital medicine · 2024Article
- Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma.AJNR. American journal of neuroradiology · 2024Article
- Review
- Review
- RP-Rs-fMRIomics as a Novel Imaging Analysis Strategy to Empower Diagnosis of Brain Gliomas.Cancers · 2022Article
- BOLD asynchrony: An imaging biomarker of tumor burden in IDH-mutated gliomas.Neuro-oncology · 2022Article
- Promising Advances in LINC01116 Related to Cancer.Frontiers in cell and developmental biology · 2021Review
- MR elastography identifies regions of extracellular matrix reorganization associated with shorter survival in glioblastoma patients.Neuro-oncology advancesArticle
- Characterizing Hemodynamic Alterations in Glioma: Insights From Resting-State Functional MRI.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
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14 authors at 5 institutions in 1 country.
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Abstract
backgroundGliomas comprise the most common type of primary brain tumor, are highly invasive, and often fatal. IDH-mutated gliomas are particularly challenging to image and there is currently no clinically accepted method for identifying the extent of tumor burden in these neoplasms. This uncertainty poses a challenge to clinicians who must balance the need to treat the tumor while sparing healthy brain from iatrogenic damage. The purpose of this study was to investigate the feasibility of using resting-state blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to detect glioma-related asynchrony in vascular dynamics for distinguishing tumor from healthy brain.
methodsTwenty-four stereotactically localized biopsies were obtained during open surgical resection from ten treatment-naïve patients with IDH-mutated gliomas who received standard-of-care preoperative imaging as well as echo-planar resting-state BOLD fMRI. Signal intensity for BOLD asynchrony and standard-of-care imaging was compared to cell counts of total cellularity (H&E), tumor density (IDH1 & Sox2), cellular proliferation (Ki67), and neuronal density (NeuN), for each corresponding sample.
resultsBOLD asynchrony was directly related to total cellularity (H&E, P = 4 × 10-5), tumor density (IDH1, P = 4 × 10-5; Sox2, P = 3 × 10-5), cellular proliferation (Ki67, P = .002), and inversely related to neuronal density (NeuN, P = 1 × 10-4).
conclusionsAsynchrony in vascular dynamics, as measured by resting-state BOLD fMRI, correlates with tumor burden and provides a radiographic delineation of tumor boundaries in IDH-mutated gliomas.
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