Hybrid PET/MR Imaging in Neurology: Present Applications and Prospects for the Future

Since the first prototypes (1,2) and the first commercial scanner (3), PET has developed to multiring systems permitting highresolution and 3-dimensional imaging of various physiologic, functional, and molecular targets. The first applications of PET were in brain research, and despite the many other diagnostic indications, particularly in oncology and cardiology, brain imaging remains a stronghold of PET. Despite the development of multiring systems covering the whole brain, PET images still suffered from limited spatial resolution (2.3 and 2.5 mm in the transaxial and axial directions, respectively, with the High Resolution Research Tomograph (4)), low sensitivity, and insufficient attenuation and scatter correction. Multimodal imaging of physiologic and metabolic variables by PET requires coregistration to CT or MRI for accurate correspondence to the anatomic structures and to pathologic changes. MRI is the best method to image the morphology of the brain in health and disease, and various MR modalities can additionally be used to assess physiologic and metabolic parameters such as vascular supply (contrast-enhanced MRI), perfusion (perfusion-weighted imaging), edema (diffusion-weighted imaging), functional activation (functional MRI), and concentration of defined substrates (MR spectroscopy). Pooling information obtained with MRI and PET has long been performed through a parallel analysis of the sequentially acquired data and, more commonly today, using software coregistration techniques. However, underlying such studies is the assumption that no significant changes in physiologic or cognitive conditions have occurred between the 2 examinations. Although a good assumption for some studies, this may not be the case more generally. For example, a subject’s mental state may change on time frames from minutes to even seconds, whereas physiologic and metabolic changes can occur on the order of minutes in some disease conditions such as acute ischemic stroke or migraine. Likewise, rapid changes in baseline physiology can occur with some therapeutic interventions. One means to address such potential pitfalls is through the simultaneous collection of MRI and PET data. The feasibility of simultaneous PET and MRI data acquisition for human studies was first demonstrated in 2007, and proof-of-principle brain data were collected using a prototype MRI-compatible PET insert—called BrainPET—positioned inside a commercially available 3-TMRI Trio system (Siemens Medical Solutions) (5). In 2010, a fully integrated PET/MR scanner also became available for human whole-body imaging (Biograph mMR) (6). Simultaneous PET/MR allows spatial and temporal correlation of the signals from both modalities, creating opportunities impossible to realize using sequentially acquired data. The features of this new technology may be particularly appealing to applications for translational research in neuroscience, considering that MRI represents the first-line diagnostic imaging modality for numerous indications and that a great number of specific PET tracers are available today to assess functional and molecular processes in the brain. Simultaneous imaging certainly yields benefits with regard to patient management and time saving. Avoiding the repositioning of the patient improves coregistration and localization of anatomic structures and lesions: this is of great advantage in the presurgical diagnosis of patients with focal epilepsy, for which small lesions, hypoplasias, or heterotopies can be delineated (7,8). Improved differentiation of different tissue types by combined metabolic and morphologic imaging is of great importance in the differential diagnosis of brain tumors, for grading of gliomas, for the assessment of progression and the distinction between necrosis and recurrence; it also helps in the selection of the most promising place for biopsies and in the evaluation of treatment effects (7,9–14). Further information on effects of tumors on morphology, function, and metabolism of the surrounding brain may be obtained by adding diffusion tensor imaging/fiber tracking, functional MRI, perfusion-weighted imaging, MR spectroscopy, and activation PET to the multimodal imaging (15–17), by which anaerobic changes in energy metabolism in tumor and peritumor tissue, alterations in efferent and connecting fiber tracts, and task-related activation patterns within functional networks can be visualized. Coregistration of structure and metabolism together with simultaneous assessment of synaptic function are important for early recognition and differential diagnosis of cognitive impairment and for understanding the pathophysiology—for example, deposition of amyloid, tau, or other abnormal proteins—of degenerative disorders. Early diagnosis of Alzheimer dementia and even detection of prestates of this devastating disorder can be achieved by MRI (hippocampal atrophy) combined to PET for measurement of glucose consumption and accumulation of amyloid and tau, which should be used for the selection of patients in treatment trials; the multimodal imaging permits also the differential diagnosis to other degenerative diseases (18–22). Further insights into the development of cognitive disturbances will be obtained by adding PET studies of synaptic function, for example, cholinergic and serotoninergic transmission (18,23). Synergistic measurement of different physiologic parameters can explain functional impairment and predicts the development of Received Mar. 7, 2016; revision accepted Mar. 8, 2016. For correspondence and reprints contact: Wolf-Dieter Heiss, Max Planck Institute for Neurological Research, Gleueler Strasse 50, Cologne, 50931, Germany. E-mail: wdh@sf.mpg.de Published online Apr. 7, 2016. COPYRIGHT © 2016 by the Society of Nuclear Medicine and Molecular Imaging, Inc. DOI: 10.2967/jnumed.116.175208

[1]  M. Schwaiger,et al.  Noninvasive imaging of alpha(v)beta3 integrin expression using 18F-labeled RGD-containing glycopeptide and positron emission tomography. , 2001, Cancer research.

[2]  Bruce G. Jenkins,et al.  Embryonic stem cells develop into functional dopaminergic neurons after transplantation in a Parkinson rat model , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Jürgen Scheins,et al.  Multimodal imaging utilising integrated MR-PET for human brain tumour assessment , 2012, European Radiology.

[4]  Joseph Classen,et al.  Simultaneous PET/Mri in Stroke: A Case Series , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[5]  P. Black,et al.  Neural stem cells display extensive tropism for pathology in adult brain: evidence from intracranial gliomas. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Junming Shao,et al.  Based on the Network Degeneration Hypothesis: Separating Individual Patients with Different Neurodegenerative Syndromes in a Preliminary Hybrid PET/MR Study , 2016, The Journal of Nuclear Medicine.

[7]  C. Claussen,et al.  Simultaneous Mr/pet Imaging of the Human Brain: Feasibility Study 1 , 2022 .

[8]  A. Drzezga,et al.  First Clinical Experience with Integrated Whole-Body PET/MR: Comparison to PET/CT in Patients with Oncologic Diagnoses , 2012, The Journal of Nuclear Medicine.

[9]  H. An,et al.  Initial experience in hybrid PET-MRI for evaluation of refractory focal onset epilepsy , 2015, Seizure.

[10]  K Wienhard,et al.  Positron-emission tomography of vector-mediated gene expression in gene therapy for gliomas , 2001, The Lancet.

[11]  W. Heiss,et al.  Comparison of PET and DW/PW-MRI in acute ischemic stroke. , 2008, The Keio journal of medicine.

[12]  A. Piccardo,et al.  Diagnostic and prognostic value of 18F-DOPA PET and 1H-MR spectroscopy in pediatric supratentorial infiltrative gliomas: a comparative study. , 2015, Neuro-oncology.

[13]  F. Prato,et al.  Role of Hybrid Brain Imaging in Neuropsychiatric Disorders , 2015, Diagnostics.

[14]  A. Thiel,et al.  From the left to the right: How the brain compensates progressive loss of language function , 2006, Brain and Language.

[15]  C. la Fougère,et al.  Hybrid MR-PET in Neuroimaging , 2015, Clinical Neuroradiology.

[16]  Niall W. Duncan,et al.  GABAA receptor deficits predict recovery in patients with disorders of consciousness: A preliminary multimodal [11C]Flumazenil PET and fMRI study , 2015, Human brain mapping.

[17]  E. Hoffman,et al.  A positron-emission transaxial tomograph for nuclear imaging (PETT). , 1975, Radiology.

[18]  Y Yonekura,et al.  Evaluation of brain metabolism in steno-occlusive carotid artery disease by proton MR spectroscopy: a correlative study with oxygen metabolism by PET. , 2000, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[19]  K. Hoffmann,et al.  Integrated PET/MRI for planning navigated biopsies in pediatric brain tumors , 2014, Child's Nervous System.

[20]  M E Phelps,et al.  ECAT: a new computerized tomographic imaging system for positron-emitting radiopharmaceuticals. , 1978, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[21]  Osama Sabri,et al.  Potential Clinical Applications of PET/MR Imaging in Neurodegenerative Diseases , 2014, The Journal of Nuclear Medicine.

[22]  Klaus Wienhard,et al.  The ECAT HRRT: performance and first clinical application of the new high resolution research tomograph , 2000 .

[23]  H. Arai,et al.  18F-THK5351: A Novel PET Radiotracer for Imaging Neurofibrillary Pathology in Alzheimer Disease , 2016, The Journal of Nuclear Medicine.

[24]  G. Barger,et al.  Multi-modal imaging of tumor cellularity and Tryptophan metabolism in human Gliomas , 2015, Cancer Imaging.

[25]  Osama Sabri,et al.  PET/MR in dementia and other neurodegenerative diseases. , 2015, Seminars in nuclear medicine.

[26]  Gaspar Delso,et al.  Systematic Comparison of the Performance of Integrated Whole-Body PET/MR Imaging to Conventional PET/CT for 18F-FDG Brain Imaging in Patients Examined for Suspected Dementia , 2014, The Journal of Nuclear Medicine.

[27]  Gereon R Fink,et al.  Comparison of 18F-FET PET and Perfusion-Weighted MR Imaging: A PET/MR Imaging Hybrid Study in Patients with Brain Tumors , 2014, The Journal of Nuclear Medicine.

[28]  Randy L. Gollub,et al.  Simultaneous fMRI–PET of the opioidergic pain system in human brain , 2014, NeuroImage.

[29]  M. Tian,et al.  Multimodality Molecular Imaging of Stem Cells Therapy for Stroke , 2013, BioMed research international.

[30]  Mathias Hoehn,et al.  Monitoring of implanted stem cell migration in vivo: A highly resolved in vivo magnetic resonance imaging investigation of experimental stroke in rat , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[31]  A. Drzezga,et al.  Current status and future role of brain PET/MRI in clinical and research settings , 2015, European Journal of Nuclear Medicine and Molecular Imaging.

[32]  J. Tonn,et al.  Molecular imaging of gliomas with PET: opportunities and limitations. , 2011, Neuro-oncology.

[33]  C J Thompson,et al.  Dynamic Positron Emission Tomography for Study of Cerebral Hemodynamics in a Cross Section of the Head Using Positron‐Emitting 68Ga‐EDTA and 77Kr , 1977, Journal of computer assisted tomography.

[34]  M. A. Rueger,et al.  In vivo imaging of endogenous neural stem cells in the adult brain. , 2015, World journal of stem cells.

[35]  Ciprian Catana,et al.  PET/MRI for Neurologic Applications , 2012, The Journal of Nuclear Medicine.

[36]  Ralf Schirrmacher,et al.  The Temporal Dynamics of Poststroke Neuroinflammation: A Longitudinal Diffusion Tensor Imaging–Guided PET Study with 11C-PK11195 in Acute Subcortical Stroke , 2010, The Journal of Nuclear Medicine.

[37]  Lutz Tellmann,et al.  Comparison of cerebral blood flow acquired by simultaneous [15O]water positron emission tomography and arterial spin labeling magnetic resonance imaging , 2014, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[38]  M. Schwaiger,et al.  Comparison of Integrin αvβ3 Expression and Glucose Metabolism in Primary and Metastatic Lesions in Cancer Patients: A PET Study Using 18F-Galacto-RGD and 18F-FDG , 2007, Journal of Nuclear Medicine.