ArticleCancer imaging : the official publication of the International Cancer Imaging Society2022
Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Cerebral oxygen extraction fraction as an emerging imaging biomarker in mild cognitive impairment and dementia.Dementia & neuropsychologia · 2026Review
- From fragmented neurotechnologies to closed-loop brain health systems: integrating artificial intelligence, digital health, digital twins, and advanced materials for brain disorders.Frontiers in bioengineering and biotechnology · 2026Article
- Velocity-Selective arterial spin labeling (VSASL) for cerebral blood volume assessment in gliomas: comparison with VSASL based cerebral blood flow and dynamic susceptibility contrast MRI.Neuroradiology · 2025Article
- Role of dynamic contrast-enhanced and dynamic susceptibility contrast imaging in evaluating the biological features of glioma.Quantitative imaging in medicine and surgery · 2025Article
- A window into the brain: multimodal MRI assessment of vascular cognitive impairment.Frontiers in neuroscience · 2025Review
- The determination of the boundaries and prediction the radicality of glioblastoma resection using MRI and CT perfusion.Frontiers in neurology · 2025Article
- How to evaluate perfusion imaging in post-treatment glioma: a comparison of three different analysis methods.Neuroradiology · 2024Article
- Comparison of ASL and DSC perfusion methods in the evaluation of response to treatment in patients with a history of treatment for malignant brain tumor.BMC medical imaging · 2024Article
- Reproducibility of rCBV in glioblastomas using T2*-weighted perfusion MRI: an evaluation of sampling, normalization, and experience.Diagnostic and interventional radiology (Ankara, Turkey) · 2024Article
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Abstract
backgroundIn neuro-oncology, dynamic susceptibility contrast magnetic resonance (DSC-MR) perfusion imaging emerged as a tool to aid in the diagnostic work-up and to surveil effectiveness of treatment. However, it is believed that a significant variability exists with regard to the measured in DSC-MR perfusion parameters. The aim of this study was to assess the observer variability in measured DSC-MR perfusion parameters in patients before and after treatment. In addition, we investigated whether region-of-interest (ROI) shape impacted the observer variability. MATERIALS AND
methodsTwenty non-treated patients and a matched group of twenty patients post-treatment (neurosurgical resection and post-chemoradiotherapy) were included. Six ROIs were independently placed by three readers: circular ROIs and polygonal ROIs covering 1) the tumor hotspot; 2) the peritumoral region (T2/FLAIR-hyperintense region) and 3) the whole tumor region. A two-way random Intra-class coefficient (ICC) model was used to assess variability in measured DSC-MRI perfusion parameters. The perfusion metrics as assessed by the circular and the polygonal ROI were compared by use of the dependent T-test.
resultsIn the non-treated group, circular ROIs showed good-excellent overlap (ICC-values ranging from 0.741-0.963) with the exception of those representing the tumor hotspot. Polygonal ROIs showed lower ICC-values, ranging from 0.113 till 0.856. ROI-placement in the posttreatment group showed to be highly variable with a significant deterioration of ICC-values. Furthermore, perfusion metric assessment in similar tumor regions was not impacted by ROI shape. DISCUSSION: This study shows that posttreatment quantitative interpretation of DSC-MR perfusion imaging is highly variable and should be carried out with precaution. Pretreatment assessment of DSC-MR images, however, could be carried out be a single reader in order to provide valid data for further analyses.
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