APT‐weighted MRI: techniques, current neuro applications, and challenging issues
Amide proton transfer‐weighted (APTw) imaging is a molecular MRI technique that
generates image contrast based predominantly on the amide protons in mobile cellular …
generates image contrast based predominantly on the amide protons in mobile cellular …
MRI-guided radiation therapy: an emerging paradigm in adaptive radiation oncology
Radiation therapy (RT) continues to be one of the mainstays of cancer treatment.
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
[HTML][HTML] MRI with ultrahigh field strength and high-performance gradients: challenges and opportunities for clinical neuroimaging at 7 T and beyond
B Vachha, SY Huang - European radiology experimental, 2021 - Springer
Research in ultrahigh magnetic field strength combined with ultrahigh and ultrafast gradient
technology has provided enormous gains in sensitivity, resolution, and contrast for …
technology has provided enormous gains in sensitivity, resolution, and contrast for …
Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: application to brain tumors
Amide proton transfer‐weighted (APTw) MR imaging shows promise as a biomarker of brain
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
Resting-state fMRI detects alterations in whole brain connectivity related to tumor biology in glioma patients
VM Stoecklein, S Stoecklein, F Galiè, J Ren… - Neuro …, 2020 - academic.oup.com
Background Systemic infiltration of the brain by tumor cells is a hallmark of glioma
pathogenesis which may cause disturbances in functional connectivity. We hypothesized …
pathogenesis which may cause disturbances in functional connectivity. We hypothesized …
[HTML][HTML] 7 Tesla and beyond: advanced methods and clinical applications in magnetic resonance imaging
Ultrahigh magnetic fields offer significantly higher signal-to-noise ratio, and several
magnetic resonance applications additionally benefit from a higher contrast-to-noise ratio …
magnetic resonance applications additionally benefit from a higher contrast-to-noise ratio …
[HTML][HTML] Neuroimaging at 7 Tesla: a pictorial narrative review
T Okada, K Fujimoto, Y Fushimi, T Akasaka… - … imaging in medicine …, 2022 - ncbi.nlm.nih.gov
Abstract Neuroimaging using the 7-Tesla (7T) human magnetic resonance (MR) system is
rapidly gaining popularity after being approved for clinical use in the European Union and …
rapidly gaining popularity after being approved for clinical use in the European Union and …
[HTML][HTML] Simultaneous FET-PET and contrast-enhanced MRI based on hybrid PET/MR improves delineation of tumor spatial biodistribution in gliomas: a biopsy …
S Song, Y Cheng, J Ma, L Wang, C Dong, Y Wei… - European journal of …, 2020 - Springer
Purpose Glioma treatment planning requires precise tumor delineation, which is typically
performed with contrast-enhanced (CE) MRI. However, CE MRI fails to reflect the entire …
performed with contrast-enhanced (CE) MRI. However, CE MRI fails to reflect the entire …
Relaxation-compensated amide proton transfer (APT) MRI signal intensity is associated with survival and progression in high-grade glioma patients
D Paech, C Dreher, S Regnery, JE Meissner… - European …, 2019 - Springer
Objectives The purpose of this study was to investigate the association of relaxation-
compensated chemical exchange saturation transfer (CEST) MRI with overall survival (OS) …
compensated chemical exchange saturation transfer (CEST) MRI with overall survival (OS) …
A review of radiomics and deep predictive modeling in glioma characterization
Recent developments in glioma categorization based on biological genotypes and
application of computational machine learning or deep learning based predictive models …
application of computational machine learning or deep learning based predictive models …