Cargando…

MR spectroscopic imaging predicts early response to anti-angiogenic therapy in recurrent glioblastoma

BACKGROUND: Determining failure to anti-angiogenic therapy in recurrent glioblastoma (GBM) (rGBM) remains a challenge. The purpose of the study was to assess treatment response to bevacizumab-based therapy in patients with rGBM using MR spectroscopy (MRS). METHODS: We performed longitudinal MRI/MRS...

Descripción completa

Detalles Bibliográficos
Autores principales:	Talati, Pratik, El-Abtah, Mohamed, Kim, Daniel, Dietrich, Jorg, Fu, Melanie, Wenke, Michael, He, Julian, Natheir, Sharif N, Vangel, Mark, Rapalino, Otto, Vaynrub, Anna, Arrillaga-Romany, Isabel, Forst, Deborah A, Yen, Yi-Fen, Andronesi, Ovidiu, Kalpathy-Cramer, Jayashree, Rosen, Bruce, Batchelor, Tracy T, Gonzalez, R Gilberto, Gerstner, Elizabeth R, Ratai, Eva-Maria
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Clinical Investigations
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8193903/ https://www.ncbi.nlm.nih.gov/pubmed/34131648 http://dx.doi.org/10.1093/noajnl/vdab060

Ejemplares similares

Magnetic resonance spectroscopic imaging for detecting metabolic changes in glioblastoma after anti-angiogenic therapy—a systematic literature review
por: El-Abtah, Mohamed E, et al.
Publicado: (2022)

Magnetic resonance spectroscopy outperforms perfusion in distinguishing between pseudoprogression and disease progression in patients with glioblastoma
por: El-Abtah, Mohamed E, et al.
Publicado: (2022)

Pharmacodynamics of mutant-IDH1 inhibitors in glioma patients probed by in vivo 3D MRS imaging of 2-hydroxyglutarate
por: Andronesi, Ovidiu C., et al.
Publicado: (2018)

Early changes in glioblastoma metabolism measured by MR spectroscopic imaging during combination of anti-angiogenic cediranib and chemoradiation therapy are associated with survival
por: Andronesi, Ovidiu C., et al.
Publicado: (2017)

Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients()()
por: Jafari-Khouzani, Kourosh, et al.
Publicado: (2015)

ECCENTRIC: a fast and unrestrained approach for high-resolution in vivo metabolic imaging at ultra-high field MR
por: Klauser, Antoine, et al.
Publicado: (2023)

Deep learning super-resolution magnetic resonance spectroscopic imaging of brain metabolism and mutant isocitrate dehydrogenase glioma
por: Li, Xianqi, et al.
Publicado: (2022)

BIMG-22. DEEP LEARNING SUPER-RESOLUTION MR SPECTROSCOPIC IMAGING TO MAP TUMOR METABOLISM IN MUTANT IDH GLIOMA PATIENTS
por: Li, Xianqi, et al.
Publicado: (2021)

Vascular dysfunction promotes regional hypoxia after bevacizumab therapy in recurrent glioblastoma patients
por: Gerstner, Elizabeth R, et al.
Publicado: (2020)

A phase 2 study of the first imipridone ONC201, a selective DRD2 antagonist for oncology, administered every three weeks in recurrent glioblastoma
por: Arrillaga-Romany, Isabel, et al.
Publicado: (2017)

MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model
por: Shazeeb, Mohammed Salman, et al.
Publicado: (2017)

An integrated RF-receive/B(0)-shim array coil boosts performance of whole-brain MR spectroscopic imaging at 7 T
por: Esmaeili, Morteza, et al.
Publicado: (2020)

Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI
por: Ly, K. Ina, et al.
Publicado: (2018)

Publisher Correction: Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI
por: Ly, K. Ina, et al.
Publicado: (2019)

Medical content-based retrieval for clinical decision support: first MICCAI international workshop, MCBR-CBS 2009, London, UK, September 20, 2009 revised selected papers
por: Duncan, James, et al.
Publicado: (2010)

Artificial Intelligence and Glaucoma: Going Back to Basics
por: AlRyalat, Saif Aldeen, et al.
Publicado: (2023)

Distributed deep learning networks among institutions for medical imaging
por: Chang, Ken, et al.
Publicado: (2018)

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
por: Chang, Ken, et al.
Publicado: (2019)

Dynamic (31)P–MRSI using spiral spectroscopic imaging can map mitochondrial capacity in muscles of the human calf during plantar flexion exercise at 7 T
por: Valkovič, Ladislav, et al.
Publicado: (2016)

ACRIN 6684: Multicenter, phase II assessment of tumor hypoxia in newly diagnosed glioblastoma using magnetic resonance spectroscopy
por: Ratai, Eva-Maria, et al.
Publicado: (2018)

Introduction to Machine Learning, Neural Networks, and Deep Learning
por: Choi, Rene Y., et al.
Publicado: (2020)

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease
por: Cox, Meredith, et al.
Publicado: (2022)

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics
por: Morales, Manuel A., et al.
Publicado: (2021)

Imaging Neurochemistry and Brain Structure Tracks Clinical Decline and Mechanisms of ALS in Patients
por: Andronesi, Ovidiu C., et al.
Publicado: (2020)

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer
por: Gutman, David A., et al.
Publicado: (2014)

Artificial Intelligence in Retinopathy of Prematurity Diagnosis
por: Scruggs, Brittni A., et al.
Publicado: (2020)

Exercise‐induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach
por: Zhang, Jeff L., et al.
Publicado: (2020)

External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It’s a Brave New World
por: Ardestani, Ali, et al.
Publicado: (2022)

Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing
por: Li, Matthew D., et al.
Publicado: (2021)

Pexidartinib in the Management of Advanced Tenosynovial Giant Cell Tumor: Focus on Patient Selection and Special Considerations
por: Vaynrub, Anna, et al.
Publicado: (2022)

Vessel Architectural Imaging Identifies Cancer Patient Responders to Anti-angiogenic Therapy
por: Emblem, Kyrre E., et al.
Publicado: (2013)

Changes in deep brain stimulation surgeries between 2019 and 2020: A national inpatient sample analysis
por: Talati, Pratik, et al.
Publicado: (2023)

Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research
por: Saltz, Joel, et al.
Publicado: (2017)

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data
por: Lorenzo, Guillermo, et al.
Publicado: (2023)

Molecular characterization and quantification using state of the art solid-state adiabatic TOBSY NMR in burn trauma
por: RIGHI, VALERIA, et al.
Publicado: (2009)

Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging Network
por: Farahani, Keyvan, et al.
Publicado: (2016)

Achieving high-resolution (1)H-MRSI of the human brain with compressed-sensing and low-rank reconstruction at 7 Tesla
por: Klauser, Antoine, et al.
Publicado: (2021)

SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
por: Petrick, Nicholas, et al.
Publicado: (2021)

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis
por: Coyner, Aaron S., et al.
Publicado: (2022)

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs
por: Li, Matthew D., et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_le215armboa7s4qcpjedki9koh