Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors

Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors

2024 | Paniz Sabeghi, Paniz Zarand, Sina Zargham, Batis Golestany, Arya Shariat, Myles Chang, Evan Yang, Priya Rajagopalan, Daniel Chang Phung, Ali Gholamrezanehad
Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors This review discusses the latest advancements in neuro-oncological imaging, focusing on diagnostic approaches for brain tumors. The article highlights the role of imaging in diagnosing, prognosticating, and evaluating treatment responses for central nervous system (CNS) tumors. It emphasizes the importance of understanding both the capabilities and limitations of emerging imaging technologies to improve personalized care for neuro-oncological patients. The review explores various imaging modalities, including PET tracers, radiolabeled amino acids, PET/MRI, radiomics, deep learning, MR perfusion imaging, MR fingerprinting, MR spectroscopy imaging, MR elastography, and intra-operative ultrasound techniques. These modalities are evaluated for their potential in diagnosis, cancer staging, prognosis, and post-treatment evaluation. The review also discusses the challenges and limitations of these technologies, as well as their potential for improving patient outcomes in neuro-oncology. The article concludes that continued research in neuro-oncological imaging is essential for advancing diagnostic and therapeutic approaches in the management of brain tumors.Advances in Neuro-Oncological Imaging: An Update on Diagnostic Approach to Brain Tumors This review discusses the latest advancements in neuro-oncological imaging, focusing on diagnostic approaches for brain tumors. The article highlights the role of imaging in diagnosing, prognosticating, and evaluating treatment responses for central nervous system (CNS) tumors. It emphasizes the importance of understanding both the capabilities and limitations of emerging imaging technologies to improve personalized care for neuro-oncological patients. The review explores various imaging modalities, including PET tracers, radiolabeled amino acids, PET/MRI, radiomics, deep learning, MR perfusion imaging, MR fingerprinting, MR spectroscopy imaging, MR elastography, and intra-operative ultrasound techniques. These modalities are evaluated for their potential in diagnosis, cancer staging, prognosis, and post-treatment evaluation. The review also discusses the challenges and limitations of these technologies, as well as their potential for improving patient outcomes in neuro-oncology. The article concludes that continued research in neuro-oncological imaging is essential for advancing diagnostic and therapeutic approaches in the management of brain tumors.
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[slides and audio] Advances in Neuro-Oncological Imaging%3A An Update on Diagnostic Approach to Brain Tumors