ArticleFrontiers in oncology2025
The diagnostic value of advanced tracer kinetic models in evaluating high grade gliomas recurrence and treatment response using dynamic contrast-enhanced MRI.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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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Who cites it
2 citing papers in PubMed.
- Evaluation of triphenyl phosphate's pathogenic potential and molecular mechanisms in glioblastoma: an integrated network toxicology investigation employing multiple machine learning approaches.Translational cancer research · 2026Article
- Editorial: Dynamic contrast-enhanced imaging: technology progress and clinical application in oncology.Frontiers in oncology · 2025Article
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Authors and funding
13 authors.
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Abstract
Background: The purpose of this study was to investigate the diagnostic value of advanced tracer kinetic models (TKMs) in differentiating HGGs recurrence and treatment response. Methods: A total of 52 HGGs were included. DCE images were analyzed using the following TKMs: distributed parameter (DP), tissue homogeneity (TH), Brix's two-compartment (Brix) and extended-Tofts model (ETM), yielding the following parameters: cerebral blood flow (CBF), mean transit time (MTT), plasma volume (V Results: The difference on the normalized kinetic parameter value (with respect to contralateral normal-appearing white matter) between two MRI scanners was statistically insignificant ( Conclusion: MTT (DP, TH), and V
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