ArticleNeuro-oncology advances
Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma.
Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Comparison of Fluorescent Probes for IDH-Wildtype Glioblastoma, Metastatic Brain Tumors, and PCNSL: A Biomechanical Perspective.International journal of molecular sciences · 2026Review
- Decoding the Glioblastoma Microenvironment: AI-Driven Analysis of Cellular MRI Signatures for Targeted Therapy.Cellular and molecular neurobiology · 2026Review
- Exercise and antitumor immunity: molecular signaling, immune dynamics, and remodeling of the tumor microenvironment.Frontiers in immunology · 2026Review
- Advances of MR imaging in glioma: what the neurosurgeon needs to know.Acta neurochirurgica · 2025Review
- Model discovery approach enables noninvasive measurement of intra-tumoral fluid transport in dynamic MRI.APL bioengineering · 2024Article
- Structural and practical identifiability of contrast transport models for DCE-MRI.PLoS computational biology · 2024Article
- Assessing the dose of regadenoson required to transiently alter blood-brain barrier integrity in patients with infiltrating gliomas.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundDynamic contrast-enhanced MRI (DCE-MRI) parameters have been shown to be biomarkers for treatment response in glioblastoma (GBM). However, variations in analysis and measurement methodology complicate determination of biological changes measured via DCE. The aim of this study is to quantify DCE-MRI variations attributable to analysis methodology and image quality in GBM patients.
methodsThe Extended Tofts model (eTM) and Leaky Tracer Kinetic Model (LTKM), with manually and automatically segmented vascular input functions (VIFs), were used to calculate perfusion kinetic parameters from 29 GBM patients with double-baseline DCE-MRI data. DCE-MRI images were acquired 2-5 days apart with no change in treatment. Repeatability of kinetic parameters was quantified with Bland-Altman and percent repeatability coefficient (%RC) analysis.
resultsThe perfusion parameter with the least RC was the plasma volume fraction (
conclusionsAs much as 72% change in
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Registered trials
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