Pseudoprogression versus true progression in glioblastoma patients: A multiapproach literature review. Part 2 – Radiological features and metric markers
Author:
Publisher
Elsevier BV
Subject
Oncology,Hematology
Reference306 articles.
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3. Distinguishing pseudoprogression from true progression by FLAIR volumetric characteristics compared to 45 gy isodose volumes in treated glioblastoma patients;Abel;Int. J. Radiat. Oncol. • Biol. • Phys.,2012
4. Morphologic MRI features, diffusion tensor imaging and radiation dosimetric analysis to differentiate pseudo-progression from early tumor progression;Agarwal;J. Neurooncol.,2013
5. Malignant gliomas: current perspectives in diagnosis, treatment, and early response assessment using advanced quantitative imaging methods;Ahmed;Cancer Manag. Res.,2014
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2. Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis;Neuroradiology;2024-08-17
3. Imaging and Liquid Biopsy for Distinguishing True Progression From Pseudoprogression in Gliomas, Current Advances and Challenges;Academic Radiology;2024-08
4. Resolving spatial response heterogeneity in glioblastoma;European Journal of Nuclear Medicine and Molecular Imaging;2024-06-05
5. Glioblastoma Pseudoprogression Discrimination Using Multiparametric Magnetic Resonance Imaging, Principal Component Analysis, and Supervised and Unsupervised Machine Learning;World Neurosurgery;2024-03
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