ArticleAJNR. American journal of neuroradiology2015
Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.
Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 31 citations in OpenAlex.
- Challenges and opportunities for advanced neuroimaging of glioblastoma.The British journal of radiology · 2023Review
- Review
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- Evaluating survival in subjects with astrocytic brain tumors by dynamic susceptibility-weighted perfusion MR imaging.PloS one · 2021Article
- Association of dynamic susceptibility magnetic resonance imaging at initial tumor diagnosis with the prognosis of different molecular glioma subtypes.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020Article
- Predicting Survival in Glioblastoma Patients Using Diffusion MR Imaging Metrics-A Systematic Review.Cancers · 2020Review
- Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.Journal of magnetic resonance imaging : JMRI · 2020Review
- Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma.European radiology · 2019Article
- Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI.Scientific reports · 2018Article
- The Role of Advanced Brain Tumor Imaging in the Care of Patients with Central Nervous System Malignancies.Current treatment options in oncology · 2018Review
- Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.Journal of neuro-oncology · 2018Article
- Application of arterial spin labeling perfusion MRI to differentiate benign from malignant intracranial meningiomas.European journal of radiology · 2017Article
- Post-treatment changes of tumour perfusion parameters can help to predict survival in patients with high-grade astrocytoma.European radiology · 2017Article
- Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.Neuro-oncology · 2016Article
- Prognostic and predictive values of diffusion and perfusion MRI in paediatric intracranial ependymomas in a large national study.The British journal of radiology · 2016Article
- Distinction of pseudoprogression from true progression in glioblastomas using machine learning based on multiparametric magnetic resonance imaging and ONeuro-oncology advancesArticle
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6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
background and purposePrediction of survival in patients with glioblastomas is important for individualized treatment planning. This study aimed to assess the prognostic utility of presurgical dynamic susceptibility contrast and diffusion-weighted imaging for overall survival in patients with glioblastoma. MATERIALS AND
methodsMR imaging data from pathologically proved glioblastomas between June 2006 to December 2013 in 58 patients (mean age, 62.7 years; age range, 22-89 years) were included in this retrospective study. Patients were divided into long survival (≥15 months) and short survival (<15 months) groups, depending on overall survival time. Patients underwent dynamic susceptibility contrast perfusion and DWI before surgery and were treated with chemotherapy and radiation therapy. The maximum relative cerebral blood volume and minimum mean diffusivity values were measured from the enhancing part of the tumor.
resultsMaximum relative cerebral blood volume values in patients with short survival were significantly higher compared with those who demonstrated long survival (P < .05). No significant difference was observed in the minimum mean diffusivity between short and long survivors. Receiver operator curve analysis demonstrated that a maximum relative cerebral blood volume cutoff value of 5.79 differentiated patients with low and high survival with an area under the curve of 0.93, sensitivity of 0.89, and specificity of 0.90 (P < .001), while a minimum mean diffusivity cutoff value of 8.35 × 10(-4)mm(2)/s had an area under the curve of 0.55, sensitivity of 0.71, and specificity of 0.47 (P > .05) in separating the 2 groups.
conclusionsMaximum relative cerebral blood volume may be used as a prognostic marker of overall survival in patients with glioblastomas.
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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.