Emerging applications of artificial intelligence in neuro-oncology
Due to the exponential growth of computational algorithms, artificial intelligence (AI)
methods are poised to improve the precision of diagnostic and therapeutic methods in …
methods are poised to improve the precision of diagnostic and therapeutic methods in …
Texture analysis: a review of neurologic MR imaging applications
A Kassner, RE Thornhill - American Journal of …, 2010 - Am Soc Neuroradiology
Texture analysis describes a variety of image-analysis techniques that quantify the variation
in surface intensity or patterns, including some that are imperceptible to the human visual …
in surface intensity or patterns, including some that are imperceptible to the human visual …
Deep-learning convolutional neural networks accurately classify genetic mutations in gliomas
P Chang, J Grinband, BD Weinberg… - American Journal …, 2018 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new
emphasis on the integration of genetic information for gliomas. While tissue sampling …
emphasis on the integration of genetic information for gliomas. While tissue sampling …
Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
Background. High-grade gliomas with mutations in the isocitrate dehydrogenase (IDH) gene
family confer longer overall survival relative to their IDH-wild-type counterparts. Accurate …
family confer longer overall survival relative to their IDH-wild-type counterparts. Accurate …
Residual deep convolutional neural network predicts MGMT methylation status
Predicting methylation of the O6-methylguanine methyltransferase (MGMT) gene status
utilizing MRI imaging is of high importance since it is a predictor of response and prognosis …
utilizing MRI imaging is of high importance since it is a predictor of response and prognosis …
MRI-based deep-learning method for determining glioma MGMT promoter methylation status
CGB Yogananda, BR Shah… - American Journal …, 2021 - Am Soc Neuroradiology
Editorial expression of concern: In the May 2021 edition, the American Journal of
Neuroradilogy published the article “MRI-Based Deep-Learning Method for Determining …
Neuroradilogy published the article “MRI-Based Deep-Learning Method for Determining …
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
Background Glioblastoma (GBM) exhibits profound intratumoral genetic heterogeneity. Each
tumor comprises multiple genetically distinct clonal populations with different therapeutic …
tumor comprises multiple genetically distinct clonal populations with different therapeutic …
Imaging correlates of adult glioma genotypes
M Smits, MJ van den Bent - Radiology, 2017 - pubs.rsna.org
Primary brain tumors, most commonly gliomas, are histopathologically typed and graded as
World Health Organization (WHO) grades I–IV according to increasing degrees of …
World Health Organization (WHO) grades I–IV according to increasing degrees of …
Imaging glioblastoma posttreatment: progression, pseudoprogression, pseudoresponse, radiation necrosis
SB Strauss, A Meng, EJ Ebani… - Neuroimaging …, 2021 - neuroimaging.theclinics.com
Eighty percent of all malignant primary brain tumors diagnosed in the United States are
gliomas. 1 The current treatment paradigm for high-grade gliomas (grades III and IV) …
gliomas. 1 The current treatment paradigm for high-grade gliomas (grades III and IV) …
Relationship between tumor enhancement, edema, IDH1 mutational status, MGMT promoter methylation, and survival in glioblastoma
JA Carrillo, A Lai, PL Nghiemphu… - American Journal …, 2012 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Both IDH1 mutation and MGMT promoter methylation are
associated with longer survival. We investigated the ability of imaging correlates to serve as …
associated with longer survival. We investigated the ability of imaging correlates to serve as …