Computational Molecular Magnetic Resonance Imaging For Neuro Oncology

Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

This issue of Radiologic Clinics focuses on Advanced Neuroimaging in Brain Tumors and is edited by Dr. Sangam Kanekar. Articles will include: Imaging findings of new entities and patterns in brain tumor: IDH mutant, IDH wildtype, Codeletion, and MGMT methylation; CT and MR perfusion imaging in neuro-oncology; Application of diffusion weighted imaging (DWI) and diffusion tensor imaging (DTI) in the pre- and post-surgical evaluation of brain tumor; Clinical applications of magnetic resonance spectroscopy (MRS) in of brain tumors: grading and recurrence; Cellular and molecular imaging with PET and SPECT in brain tumors; Role of Functional MRI (fMRI) in the presurgical mapping of brain tumor; Imaging surveillance of gliomas: role of advanced imaging techniques; Neoplastic meningitis and paraneoplastic syndrome—role of imaging; Imaging of neurologic injury following oncologic therapy; RadioGenomics of brain tumor; Imaging mimics of brain tumors; Imaging of tumor syndromes; and more!

This issue of MRI Clinics of North America focuses on Functional MRI in Oncology. Articles will include: Functional MRI techniques in oncology in the era of personalized medicine, MRI biomarkers and surrogate endpoints in oncology clinical trials, Therapy monitoring with functional MRI, Multiparametric MRI in the assessment of brain tumors, Multiparametric MRI of breast cancer, Functional MRI in chest malignancies, Multiparametric MRI in abdominal malignancies, Assessment of musculoskeletal malignancies with functional MRI, Evaluation of head and neck tumors with functional MRI, Role of multiparametric MRI in malignancies of the urogenital tract, Diffusion-weighted imaging in oncology, Functional MRI in gynecologic cancer, Assessment of angiogenesis with MRI: DCE-MRI and beyond, Imaging of tumor metabolism: MR spectroscopy, and more!

Although the field of Neuro-Oncology has grown considerably in the last 10 to 15 years and has a rather extensive literature, there are no comprehensive, “single-source books that summarize the current literature and future trends of neuroimaging in neuro-oncology. This book covers this topic in more comprehensive fashion, making it an important addition to the armamentarium of physicians that care for patients with brain tumors and other neuro-oncological disorders. Well-founded in basic science, it includes chapters that provide an overview of relevant background material in critical areas such as physics, contrast agents, ultra-high field brain MRI, and molecular imaging.

This issue of MRI Clinics of North America focuses on Imaging of Brain Tumors, and is edited by Dr. Rivka Colen. Articles will include: Multiparametric Imaging Analysis: MR Spectroscopy; Genomics and MicroRNAs in Glioma; Metabolomics and Hyperpolarization MRI in Brain Tumors; Imaging Genomics in Glioma; Radiomics and Big Data in Imaging; RANO Criteria and Clinical Endpoints; Gliomas: The New WHO Brain Tumor Pathological/Molecular Classification and Clinical and Radiographic Classifications; Liposomal Contrast Agents and Nanoparticles in Brain Tumor Imaging; Multiparametric Imaging Analysis: Perfusion, and more!