ArticleAJNR. American journal of neuroradiology2020
Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.
Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 32 citations in OpenAlex.
- Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Recent advances in arterial spin labeling MRI for imaging brain tumors.Magma (New York, N.Y.) · 2026Review
- Quantification of fractional tumor burden for the early detection of post-treatment glioblastoma progression.European radiology experimental · 2026Article
- Three-Dimensional quantitative analysis of the Peri-Enhancing zone reveals ADC and CBV signatures of glioblastoma recurrence.NeuroImage. Clinical · 2026Article
- Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol.AJNR. American journal of neuroradiology · 2025Article
- Advances in Glioblastoma Diagnosis: Integrating Genetics, Noninvasive Sampling, and Advanced Imaging.Cancers · 2025Review
- Identification of a Single-Dose, Low-Flip-Angle-Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma.AJNR. American journal of neuroradiology · 2024Article
- A 3D dual-echo spiral sequence for simultaneous dynamic susceptibility contrast and dynamic contrast-enhanced MRI with single bolus injection.Magnetic resonance in medicine · 2024Article
- Challenges, limitations, and pitfalls of PET and advanced MRI in patients with brain tumors: A report of the PET/RANO group.Neuro-oncology · 2024Review
- Tumor treating fields increases blood-brain barrier permeability and relative cerebral blood volume in patients with glioblastoma.The neuroradiology journal · 2024Article
- Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures.Nature communications · 2023Article
- Amine-weighted chemical exchange saturation transfer magnetic resonance imaging in brain tumors.NMR in biomedicine · 2023Article
- Assessment and prediction of glioblastoma therapy response: challenges and opportunities.Brain : a journal of neurology · 2023Article
- A multi-reader comparison of normal-appearing white matter normalization techniques for perfusion and diffusion MRI in brain tumors.Neuroradiology · 2023Article
- Identification of single-dose, dual-echo based CBV threshold for fractional tumor burden mapping in recurrent glioblastoma.Frontiers in oncology · 2023Article
- Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy.Advanced drug delivery reviews · 2022Review
- DSC Perfusion MRI-Derived Fractional Tumor Burden and Relative CBV Differentiate Tumor Progression and Radiation Necrosis in Brain Metastases Treated with Stereotactic Radiosurgery.AJNR. American journal of neuroradiology · 2022Article
- High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques.Frontiers in oncology · 2022Review
- Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions.Frontiers in radiology · 2022Review
- Conventional and Advanced Imaging Techniques in Post-treatment Glioma Imaging.Frontiers in radiology · 2022Review
Corrections and comments
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Authors and funding
21 authors at 13 institutions in 3 countries.
Funding
Abstract
background and purposePerfusion MR imaging measures of relative CBV can distinguish recurrent tumor from posttreatment radiation effects in high-grade gliomas. Currently, relative CBV measurement requires normalization based on user-defined reference tissues. A recently proposed method of relative CBV standardization eliminates the need for user input. This study compares the predictive performance of relative CBV standardization against relative CBV normalization for quantifying recurrent tumor burden in high-grade gliomas relative to posttreatment radiation effects. MATERIALS AND
methodsWe recruited 38 previously treated patients with high-grade gliomas (World Health Organization grades III or IV) undergoing surgical re-resection for new contrast-enhancing lesions concerning for recurrent tumor versus posttreatment radiation effects. We recovered 112 image-localized biopsies and quantified the percentage of histologic tumor content versus posttreatment radiation effects for each sample. We measured spatially matched normalized and standardized relative CBV metrics (mean, median) and fractional tumor burden for each biopsy. We compared relative CBV performance to predict tumor content, including the Pearson correlation (
resultsAcross relative CBV metrics, fractional tumor burden showed the highest correlations with tumor content (0%-100%) for normalized (
conclusionsStandardization of relative CBV achieves similar performance compared with normalized relative CBV and offers an important step toward workflow optimization and consensus methodology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.