Continued advancements in medical imaging systems have significantly enhanced our ability to timely and accurately visualize body tissues and disease-related processes. Such advancements are gradually responding to a pressing need for personalized medicine, representing an always more pervasive urgency in every medical field; this is all the more true with regard to neuro-oncology, and physicians have now to deal with it. This shift toward precision medicine, defined as the right treatment for the right patient at the right time, has called for innovative approaches to provide aggregation of different techniques, different disciplines, and different professionals, in order to ensure to patients with brain tumors the highest efficacy in both diagnostic and therapeutic capabilities. In this interdisciplinary or cross-disciplinary vision of neuro-oncology, brain imaging represents a compelling source of crucial information used by clinicians and surgeons, and the flourishing of scientific literature based on image post-processing analysis, artificial intelligence, radiomics, and other fast-growing automations in data analysis has been revolutionizing the way of both understanding and applying neuroimaging for treatments.
This Research Topic aims to deepen the readers' understanding of novel medical imaging techniques and image-guided procedures for brain tumors’ diagnosis and treatment, or rather integrating these advancements into clinical practice. In this light, it will provide new insights on the latest strides in medical imaging for brain tumors’ diagnosis and therapeutic management. This Research Topic will also focus on the importance of the combination of different techniques from various clinical domains, to fulfill their potential in a pluralist approach that might lead to a more personalized therapy in patients with brain neoplasms; in that regard, of special interest will be the fast-evolving field of artificial intelligence in neuro-oncology and neuro-oncological imaging.
Themes of interest include, but are not limited to, the following research areas:
• Advances in Nuclear Medicine, Ultrasound, Magnetic Resonance Imaging, and Dual-modality imaging for brain tumors’ detection, treatment and follow-up;
Advances in Neurosurgical Oncology;
• Advances in Radiation therapy of brain tumors;
Role for Artificial Intelligence algorithms in expanding knowledge on brain tumors;
• Automations in neuroimaging data analysis and image-guided procedures for brain tumors’ management;
• Advances in brain tumor treatment by the early identification of predictive response factors or elements suggesting the presence of potential targetable genes.
We cordially invite original articles and review papers within the scope of this Research Topic, encompassing theoretical, experimental, and clinical studies (such as Case Reports, Clinical Trials, Corrections, Editorial, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, and Technology and Code).
Manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Continued advancements in medical imaging systems have significantly enhanced our ability to timely and accurately visualize body tissues and disease-related processes. Such advancements are gradually responding to a pressing need for personalized medicine, representing an always more pervasive urgency in every medical field; this is all the more true with regard to neuro-oncology, and physicians have now to deal with it. This shift toward precision medicine, defined as the right treatment for the right patient at the right time, has called for innovative approaches to provide aggregation of different techniques, different disciplines, and different professionals, in order to ensure to patients with brain tumors the highest efficacy in both diagnostic and therapeutic capabilities. In this interdisciplinary or cross-disciplinary vision of neuro-oncology, brain imaging represents a compelling source of crucial information used by clinicians and surgeons, and the flourishing of scientific literature based on image post-processing analysis, artificial intelligence, radiomics, and other fast-growing automations in data analysis has been revolutionizing the way of both understanding and applying neuroimaging for treatments.
This Research Topic aims to deepen the readers' understanding of novel medical imaging techniques and image-guided procedures for brain tumors’ diagnosis and treatment, or rather integrating these advancements into clinical practice. In this light, it will provide new insights on the latest strides in medical imaging for brain tumors’ diagnosis and therapeutic management. This Research Topic will also focus on the importance of the combination of different techniques from various clinical domains, to fulfill their potential in a pluralist approach that might lead to a more personalized therapy in patients with brain neoplasms; in that regard, of special interest will be the fast-evolving field of artificial intelligence in neuro-oncology and neuro-oncological imaging.
Themes of interest include, but are not limited to, the following research areas:
• Advances in Nuclear Medicine, Ultrasound, Magnetic Resonance Imaging, and Dual-modality imaging for brain tumors’ detection, treatment and follow-up;
Advances in Neurosurgical Oncology;
• Advances in Radiation therapy of brain tumors;
Role for Artificial Intelligence algorithms in expanding knowledge on brain tumors;
• Automations in neuroimaging data analysis and image-guided procedures for brain tumors’ management;
• Advances in brain tumor treatment by the early identification of predictive response factors or elements suggesting the presence of potential targetable genes.
We cordially invite original articles and review papers within the scope of this Research Topic, encompassing theoretical, experimental, and clinical studies (such as Case Reports, Clinical Trials, Corrections, Editorial, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, and Technology and Code).
Manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.