ArticleNeuroradiology2018
Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.
Article in Neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
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Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 126 citations in OpenAlex.
- Pooled it
- Machine Learning-Based Comparison of Non-Contrast ASL and DSC-MRI Perfusion for Differentiating Recurrent High-Grade Glioma from Treatment Effects.Journal of clinical medicine · 2026Article
- MRI Correlates of Depression and Anxiety in Multiple Sclerosis.Diseases (Basel, Switzerland) · 2026Review
- Diffusion tensor image analysis along the perivascular space may serve as a potential biomarker for differentiating glioma recurrence from pseudoprogression: a preliminary study.Quantitative imaging in medicine and surgery · 2026Article
- Differentiating tumor recurrence and pseudoprogression in postoperative gliomas using pseudo-continuous arterial spin labeling (pCASL) technique.BMC medical imaging · 2025Article
- White matter correlates of impulsive behavior in healthy individuals: A diffusion magnetic resonance imaging study.PCN reports : psychiatry and clinical neurosciences · 2024Article
- Utility of diffusion tensor imaging in differentiating benign from malignant thyroid nodules.The neuroradiology journal · 2024Article
- Impact of Sex Hormones on Glioblastoma: Sex-Related Differences and Neuroradiological Insights.Life (Basel, Switzerland) · 2024Review
- The Differentiation between Progressive Disease and Treatment-Induced Effects with Perfusion-Weighted Arterial Spin-Labeling in High-Grade Gliomas.AJNR. American journal of neuroradiology · 2024Article
- Article
- Machine Learning and Radiomics in Gliomas.Advances in experimental medicine and biology · 2024Review
- Advanced Magnetic Resonance Imaging in the Evaluation of Treated Glioblastoma: A Pictorial Essay.Cancers · 2023Review
- The role and potential of using quantitative MRI biomarkers for imaging guidance in brain cancer radiotherapy treatment planning: A systematic review.Physics and imaging in radiation oncology · 2023Review
- Diffusion-weighted imaging and arterial spin labeling radiomics features may improve differentiation between radiation-induced brain injury and glioma recurrence.European radiology · 2023Article
- Multi-parametric arterial spin labeling and diffusion-weighted imaging of paranasal sinuses masses.Oral radiology · 2023Article
- Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine.Current oncology (Toronto, Ont.) · 2023Review
- Challenges and opportunities for advanced neuroimaging of glioblastoma.The British journal of radiology · 2023Review
- The complementary role of MRI and FET PET in high-grade gliomas to differentiate recurrence from radionecrosis.Frontiers in nuclear medicine · 2023Article
- Diffusion imaging could aid to differentiate between glioma progression and treatment-related abnormalities: a meta-analysis.Insights into imaging · 2022Review
- Perfusion magnetic resonance imaging in the differentiation between glioma recurrence and pseudoprogression: a systematic review, meta-analysis and meta-regression.Quantitative imaging in medicine and surgery · 2022Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study is to differentiate recurrent/residual gliomas from postradiation changes using arterial spin labeling (ASL) perfusion and diffusion tensor imaging (DTI)-derived metrics.
methodsProspective study was conducted upon 42 patients with high-grade gliomas after radiotherapy only or prior to other therapies that underwent routine MR imaging, ASL, and DTI. The tumor blood flow (TBF), fractional anisotropy (FA), and mean diffusivity (MD) of the enhanced lesion and related edema were calculated. The lesion was categorized as recurrence/residual or postradiation changes.
resultsThere was significant differences between residual/recurrent gliomas and postradiation changes of TBF (P = 0.001), FA (P = 0.001 and 0.04), and MD (P = 0.001) of enhanced lesion and related edema respectively. The area under the curve (AUC) of TBF of enhanced lesion and related edema used to differentiate residual/recurrent gliomas from postradiation changes were 0.95 and 0.93 and of MD were 0.95 and 0.81 and of FA were 0.81 and 0.695, respectively. Combined ASL and DTI metrics of the enhanced lesion revealed AUC of 0.98, accuracy of 95%, sensitivity of 93.8%, specificity of 95.8%, positive predictive value (PPV) of 93.8%, and negative predictive value (NPV) of 95.8%. Combined metrics of ASL and DTI of related edema revealed AUC of 0.97, accuracy of 92.5%, sensitivity of 93.8%, specificity of 91.7%, PPV of 88.2%, and NPV of 95.7.
conclusionCombined ASL and DTI metrics of enhanced lesion and related edema are valuable noninvasive tools in differentiating residual/recurrent gliomas from postradiation changes.
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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.