Cargando…

Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas

BACKGROUND: Accurate differentiation of pseudoprogression (PsP) from tumor progression (TP) in glioblastomas (GBMs) is essential for appropriate clinical management and prognostication of these patients. In the present study, we sought to validate the findings of our previously developed multiparame...

Descripción completa

Detalles Bibliográficos
Autores principales:	de Godoy, Laiz Laura, Mohan, Suyash, Wang, Sumei, Nasrallah, MacLean P., Sakai, Yu, O’Rourke, Donald M., Bagley, Stephen, Desai, Arati, Loevner, Laurie A., Poptani, Harish, Chawla, Sanjeev
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142504/ https://www.ncbi.nlm.nih.gov/pubmed/37118754 http://dx.doi.org/10.1186/s12967-023-03941-x

Ejemplares similares

Three‐dimensional echo planar spectroscopic imaging for differentiation of true progression from pseudoprogression in patients with glioblastoma
por: Verma, Gaurav, et al.
Publicado: (2018)

Multiparametric magnetic resonance imaging in the assessment of anti-EGFRvIII chimeric antigen receptor T cell therapy in patients with recurrent glioblastoma
por: Wang, Sumei, et al.
Publicado: (2018)

BIMG-12. [18F]FLUCICLOVINE PET TO DISTINGUISH PSEUDOPROGRESSION FROM TUMOR PROGRESSION IN POST-TREATMENT GLIOBLASTOMA
por: Nabavizadeh, Ali, et al.
Publicado: (2021)

Multiparametric MRI assessment of response to convection-enhanced intratumoral delivery of MDNA55, an interleukin-4 receptor targeted immunotherapy, for recurrent glioblastoma
por: Mohan, Suyash, et al.
Publicado: (2021)

MRI-Based Radiomics Combined with Deep Learning for Distinguishing IDH-Mutant WHO Grade 4 Astrocytomas from IDH-Wild-Type Glioblastomas
por: Hosseini, Seyyed Ali, et al.
Publicado: (2023)

2137 Percentage of viable tumor Versus radiation treatment effect in surgical specimens is not associated with outcomes in recurrent glioblastoma
por: Schwab, Robert D., et al.
Publicado: (2018)

Non-invasive detection of 2-hydroxyglutarate in IDH-mutated gliomas using two-dimensional localized correlation spectroscopy (2D L-COSY) at 7 Tesla
por: Verma, Gaurav, et al.
Publicado: (2016)

Non-Invasive Assessment of Isocitrate Dehydrogenase-Mutant Gliomas Using Optimized Proton Magnetic Resonance Spectroscopy on a Routine Clinical 3-Tesla MRI
por: de Godoy, Laiz Laura, et al.
Publicado: (2023)

(18)F-Fluciclovine PET to distinguish treatment-related effects from disease progression in recurrent glioblastoma: PET fusion with MRI guides neurosurgical sampling
por: Henderson, Fraser, et al.
Publicado: (2020)

Case Report: Prolonged Survival Following EGFRvIII CAR T Cell Treatment for Recurrent Glioblastoma
por: Durgin, Joseph S., et al.
Publicado: (2021)

Arterial Spin Labeling and Dynamic Susceptibility Contrast-enhanced MR Imaging for evaluation of arteriovenous shunting and tumor hypoxia in glioblastoma
por: Nabavizadeh, S. Ali, et al.
Publicado: (2019)

Clinical activity of the EGFR tyrosine kinase inhibitor osimertinib in EGFR-mutant glioblastoma
por: Makhlin, Igor, et al.
Publicado: (2019)

Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2022)

Physiological Imaging Methods for Evaluating Response to Immunotherapies in Glioblastomas
por: Chawla, Sanjeev, et al.
Publicado: (2021)

Imaging and histopathologic correlates of plasma cell-free DNA concentration and circulating tumor DNA in adult patients with newly diagnosed glioblastoma
por: Nabavizadeh, Seyed Ali, et al.
Publicado: (2020)

Pseudoprogression as an adverse event of glioblastoma therapy
por: Balaña, Carmen, et al.
Publicado: (2017)

A dual-genotype oligoastrocytoma with histologic, molecular, radiological and time-course features
por: Nasrallah, Mac Lean P., et al.
Publicado: (2020)

Does the application of diffusion weighted imaging improve the prediction of survival in patients with resected brain metastases? A retrospective multicenter study
por: Zakaria, Rasheed, et al.
Publicado: (2020)

Molecular Neuropathology in Practice: Clinical Profiling and Integrative Analysis of Molecular Alterations in Glioblastoma
por: Nasrallah, MacLean P., et al.
Publicado: (2019)

A preliminary quantitative proteomic analysis of glioblastoma pseudoprogression
por: Zhang, Peng, et al.
Publicado: (2015)

Glioblastoma with brainstem leptomeningeal pseudoprogression following radiation therapy
por: Kinger, Nikhar, et al.
Publicado: (2019)

Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2021)

High levels of cellular proliferation predict pseudoprogression in glioblastoma patients
por: POULEAU, HENRI-BENJAMIN, et al.
Publicado: (2011)

Pseudoprogression in Glioblastoma: Role of Metabolic and Functional MRI-Systematic Review
por: Sidibe, Ingrid, et al.
Publicado: (2022)

Radiomic Analysis to Predict Histopathologically Confirmed Pseudoprogression in Glioblastoma Patients
por: McKenney, Anna Sophia, et al.
Publicado: (2022)

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
por: Bakas, Spyridon, et al.
Publicado: (2022)

Early Pseudoprogression following Chemoradiotherapy in Glioblastoma Patients: The Value of RANO Evaluation
por: Linhares, Paulo, et al.
Publicado: (2013)

Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
por: Jang, Bum-Sup, et al.
Publicado: (2018)

Apatinib combined with temozolomide treatment for pseudoprogression in glioblastoma: A case report
por: Zhao, Mingming, et al.
Publicado: (2022)

Glioblastoma pseudoprogression and true progression reveal spatially variable transcriptional differences
por: Wang, Wesley, et al.
Publicado: (2023)

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma
por: Fathi Kazerooni, Anahita, et al.
Publicado: (2020)

Differentiation of pseudoprogression and real progression in glioblastoma using ADC parametric response maps
por: Reimer, Caroline, et al.
Publicado: (2017)

The predictive value of absolute lymphocyte counts on tumor progression and pseudoprogression in patients with glioblastoma
por: Xi, Jing, et al.
Publicado: (2021)

Advanced Imaging Techniques for Differentiating Pseudoprogression and Tumor Recurrence After Immunotherapy for Glioblastoma
por: Li, Yan, et al.
Publicado: (2021)

Multiple oligodendroglioma with pseudoprogression
por: Matsuyama, Junko
Publicado: (2012)

Pseudoprogression of brain tumors
por: Thust, Stefanie C., et al.
Publicado: (2018)

Pseudoprogression and Immunotherapy Phenomena
por: Waxman, Elizabeth S., et al.
Publicado: (2020)

Association of plasma cell-free DNA with survival in patients with IDH wild-type glioblastoma
por: Bagley, Stephen J, et al.
Publicado: (2021)

Radiomics: The New Promise for Differentiating Progression, Recurrence, Pseudoprogression, and Radionecrosis in Glioma and Glioblastoma Multiforme
por: Alizadeh, Mohammadreza, et al.
Publicado: (2023)

Pseudoprogression in low-grade glioma
por: Slater, Jason M., et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_b1pn9otnjf6ei66ijjj480pllc