Synthesizing a Contrast-Enhancement Map in Patients with High-Grade Gliomas Based on a Postcontrast MR Imaging Quantification Only
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Synthesizing a Contrast-Enhancement Map in Patients with High-Grade Gliomas Based on a Postcontrast MR Imaging Quantification Only
Authors
Keywords
-
Journal
AMERICAN JOURNAL OF NEURORADIOLOGY
Volume 39, Issue 12, Pages 2194-2199
Publisher
American Society of Neuroradiology (ASNR)
Online
2018-11-09
DOI
10.3174/ajnr.a5870
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantitative MRI for analysis of peritumoral edema in malignant gliomas
- (2017) Ida Blystad et al. PLoS One
- Assessment of Brain Tumor Response: RANO and Its Offspring
- (2016) Sylvia C. Eisele et al. CURRENT TREATMENT OPTIONS IN ONCOLOGY
- Baseline pretreatment contrast enhancing tumor volume including central necrosis is a prognostic factor in recurrent glioblastoma: evidence from single and multicenter trials
- (2016) Benjamin M. Ellingson et al. NEURO-ONCOLOGY
- Imaging Surrogates of Infiltration Obtained Via Multiparametric Imaging Pattern Analysis Predict Subsequent Location of Recurrence of Glioblastoma
- (2016) Hamed Akbari et al. NEUROSURGERY
- Quantitative T1-mapping detects cloudy-enhancing tumor compartments predicting outcome of patients with glioblastoma
- (2016) Andreas Müller et al. Cancer Medicine
- Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma
- (2015) Mark S. Shiroishi et al. NEURO-ONCOLOGY
- Gradient of Apparent Diffusion Coefficient Values in Peritumoral Edema Helps in Differentiation of Glioblastoma From Solitary Metastatic Lesions
- (2014) Pierre Lemercier et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Residual tumor volume versus extent of resection: predictors of survival after surgery for glioblastoma
- (2014) Matthew M. Grabowski et al. JOURNAL OF NEUROSURGERY
- Emerging techniques and technologies in brain tumor imaging
- (2014) B. M. Ellingson et al. NEURO-ONCOLOGY
- Quantitative T1 and T2 mapping in recurrent glioblastomas under bevacizumab: earlier detection of tumor progression compared to conventional MRI
- (2014) Stephanie Lescher et al. NEURORADIOLOGY
- Multi-Parametric Representation of Voxel-Based Quantitative Magnetic Resonance Imaging
- (2014) Maria Engström et al. PLoS One
- Magnetic resonance fingerprinting
- (2013) Dan Ma et al. NATURE
- Establishing percent resection and residual volume thresholds affecting survival and recurrence for patients with newly diagnosed intracranial glioblastoma
- (2013) Kaisorn L. Chaichana et al. NEURO-ONCOLOGY
- Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths
- (2013) Janne West et al. PLoS One
- Brain Characterization Using Normalized Quantitative Magnetic Resonance Imaging
- (2013) Jan B. M. Warntjes et al. PLoS One
- Recurrent Glioblastoma Treated with Bevacizumab: Contrast-enhanced T1-weighted Subtraction Maps Improve Tumor Delineation and Aid Prediction of Survival in a Multicenter Clinical Trial
- (2013) Benjamin M. Ellingson et al. RADIOLOGY
- Pseudoprogression and Pseudoresponse: Imaging Challenges in the Assessment of Posttreatment Glioma
- (2011) L.C. Hygino da Cruz et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Rapid magnetic resonance quantification on the brain: Optimization for clinical usage
- (2008) J.B.M. Warntjes et al. MAGNETIC RESONANCE IN MEDICINE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started