Positron emission tomography (PET) and amino acid tracers provide a biological characterization of brain tumors (especially gliomas) beyond conventional structural magnetic resonance imaging (MRI)
and can be used for initial diagnosis of brain tumors
mapping of tumor margins
planning of surgery and radiation therapy
evaluation of residual tumors
and evaluation of post-treatment response. Integrated PET/MRI allows simultaneous acquisition of PET and multiple parameters including functionalMRI sequences in a single examination
reducing scan time. While the consistency of the spatial distribution of amino acid PET with functional MRI [diffusion-weighted imaging (DWI) or perfusion weighted imaging (PWI)] is controversial. There is no doubt that the multimodal examination model provides important complementary information for the functional assessment of brain gliomas. This review aimed to provide a concise overview of the various amino acid tracers in brain tumors
as well as a practical understanding of the clinical applications of amino acid PET/MRI in the treatment of glioma
in addition to an overview of the progress in the transformation of novel radioactive tracers
the prospects for future applications in amino acid PET/MRI radiomics and machine learning and cost-effectiveness.
A flexible segmentation network for MRI: toward accurate tumor delineation and 3D reconstruction in brain glioma
Application progress of integrated PET/MRI in the diagnosis and treatment of breast cancer
Application of 18F-FDOPA PET imaging in gliomas
Head-to-head comparative study of 18F-FDG and 18F-FMISO PET/CT in guiding carbon ion radiotherapy for patients with locally advanced non-small cell lung cancer
From structure to function: evolution of magnetic resonance technology and transformation of imaging diagnosis
Related Author
WANG Zekun
YU Yongcheng
WANG Lihua
LUO Yahong
LIU Yi
YANG Junjie
BAI Junwen
GE Jingjie
Related Institution
Department of Radiology, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute
Department of Computing Science and Artificial Intelligence, Liaoning Normal University
Department of Thyroid and Breast Surgery, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, Inner Mongolia Autonomous Region
Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Fudan University Shanghai Cancer Center