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Bammer R, Amukotuwa SA. Dynamic Susceptibility Contrast Perfusion, Part 2: Deployment With and Without Contrast Leakage Present. Magn Reson Imaging Clin N Am 2024; 32:25-45. [PMID: 38007281 DOI: 10.1016/j.mric.2023.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
A thorough description of perfusion analysis and basic DSC MR acquisition concepts has been described in the companion article to this article, which the interested reader may also find useful. DSC MR imaging requires an MR imaging pulse sequence that is sensitive to magnetic susceptibility changes to register the contrast concentration changes when GBCA passes through the capillary bed. Any pulse sequence that has T2∗-weighting can be used to pick up these changes, provided that the sequence is fast enough to acquire an image of that slice of tissue at least every 1 to 2 second.
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Affiliation(s)
- Roland Bammer
- Department of Radiology and Radiological Sciences, Monash University, Clayton, VIC, Australia; Monash Imaging, Monash Health, Clayton, VIC, Australia.
| | - Shalini A Amukotuwa
- Department of Radiology and Radiological Sciences, Monash University, Clayton, VIC, Australia; Monash Imaging, Monash Health, Clayton, VIC, Australia
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2
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Romano A, Moltoni G, Blandino A, Palizzi S, Romano A, de Rosa G, De Blasi Palma L, Monopoli C, Guarnera A, Minniti G, Bozzao A. Radiosurgery for Brain Metastases: Challenges in Imaging Interpretation after Treatment. Cancers (Basel) 2023; 15:5092. [PMID: 37894459 PMCID: PMC10605307 DOI: 10.3390/cancers15205092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/13/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023] Open
Abstract
Stereotactic radiosurgery (SRS) has transformed the management of brain metastases by achieving local tumor control, reducing toxicity, and minimizing the need for whole-brain radiation therapy (WBRT). This review specifically investigates radiation-induced changes in patients treated for metastasis, highlighting the crucial role of magnetic resonance imaging (MRI) in the evaluation of treatment response, both at very early and late stages. The primary objective of the review is to evaluate the most effective imaging techniques for assessing radiation-induced changes and distinguishing them from tumor growth. The limitations of conventional imaging methods, which rely on size measurements, dimensional criteria, and contrast enhancement patterns, are critically evaluated. In addition, it has been investigated the potential of advanced imaging modalities to offer a more precise and comprehensive evaluation of treatment response. Finally, an overview of the relevant literature concerning the interpretation of brain changes in patients undergoing immunotherapies is provided.
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Affiliation(s)
- Andrea Romano
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Giulia Moltoni
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Antonella Blandino
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Serena Palizzi
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Allegra Romano
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Giulia de Rosa
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Lara De Blasi Palma
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Cristiana Monopoli
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Alessia Guarnera
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
| | - Giuseppe Minniti
- Department of Radiological, Oncological and Pathological Sciences, “Sapienza” University of Rome, 00138 Rome, Italy
- IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Alessandro Bozzao
- NESMOS Department, U.O.C. Neuroradiology “Sant’Andrea” University Hospital, 00189 Rome, Italy; (A.R.); (G.M.); (A.B.); (S.P.); (A.R.); (G.d.R.); (L.D.B.P.); (C.M.); (A.G.); (A.B.)
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Ivanova MV, Pappas I. Understanding recovery of language after stroke: insights from neurovascular MRI studies. FRONTIERS IN LANGUAGE SCIENCES 2023; 2:1163547. [PMID: 38162928 PMCID: PMC10757818 DOI: 10.3389/flang.2023.1163547] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Stroke causes a disruption in blood flow to the brain that can lead to profound language impairments. Understanding the mechanisms of language recovery after stroke is crucial for the prognosis and effective rehabilitation of people with aphasia. While the role of injured brain structures and disruptions in functional connectivity have been extensively explored, the relationship between neurovascular measures and language recovery in both early and later stages has not received sufficient attention in the field. Fully functioning healthy brain tissue requires oxygen and nutrients to be delivered promptly via its blood supply. Persistent decreases in blood flow after a stroke to the remaining non-lesioned tissue have been shown to contribute to poor language recovery. The goal of the current paper is to critically examine stroke studies looking at the relationship between different neurovascular measures and language deficits and mechanisms of language recovery via changes in neurovascular metrics. Measures of perfusion or cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) provide complementary approaches to understanding neurovascular mechanisms post stroke by capturing both cerebral metabolic demands and mechanical vascular properties. While CBF measures indicate the amount of blood delivered to a certain region and serve as a proxy for metabolic demands of that area, CVR indices reflect the ability of the vasculature to recruit blood flow in response to a shortage of oxygen, such as when one is holding their breath. Increases in CBF during recovery beyond the site of the lesion have been shown to promote language gains. Similarly, CVR changes, when collateral vessels are recruited to help reorganize the flow of blood in hypoperfused regions, have been related to functional recovery post stroke. In the current review, we highlight the main findings in the literature investigating neurovascular changes in stroke recovery with a particular emphasis on how language abilities can be affected by changes in CBF and CVR. We conclude by summarizing existing methodological challenges and knowledge gaps that need to be addressed in future work in this area, outlining a promising avenue of research.
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Affiliation(s)
- Maria V. Ivanova
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Ioannis Pappas
- USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
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Wang L, Shi Y, Jiang J, Li C, Zhang H, Zhang X, Jiang T, Wang L, Wang Y, Feng L. Micro-Nanocarriers Based Drug Delivery Technology for Blood-Brain Barrier Crossing and Brain Tumor Targeting Therapy. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2203678. [PMID: 36103614 DOI: 10.1002/smll.202203678] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/04/2022] [Indexed: 06/15/2023]
Abstract
The greatest obstacle to using drugs to treat brain tumors is the blood-brain barrier (BBB), making it difficult for conventional drug molecules to enter the brain. Therefore, how to safely and effectively penetrate the BBB to achieve targeted drug delivery to brain tumors has been a challenging research problem. With the intensive research in micro- and nanotechnology in recent years, nano drug-targeted delivery technologies have shown great potential to overcome this challenge, such as inorganic nanocarriers, organic polymer-carriers, liposomes, and biobased carriers, which can be designed in different sizes, shapes, and surface functional groups to enhance their ability to penetrate the BBB and targeted drug delivery for brain tumors. In this review, the composition and overcoming patterns of the BBB are detailed, and then the hot research topics of drug delivery carriers for brain tumors in recent years are summarized, and their mechanisms of action on the BBB and the factors affecting drug delivery are described in detail, and the effectiveness of targeted therapy for brain tumors is evaluated. Finally, the challenges and dilemmas in developing brain tumor drug delivery systems are discussed, which will be promising in the future for targeted drug delivery to brain tumors based on micro-nanocarriers technology.
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Affiliation(s)
- Luyao Wang
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
| | - Youyuan Shi
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
| | - Jingzhen Jiang
- Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
| | - Chan Li
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
| | - Hengrui Zhang
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
| | - Xinhui Zhang
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
| | - Tao Jiang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Yinyan Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China
| | - Lin Feng
- School of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China
- Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, 100191, China
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Lester J, Bustamante JC, García-Moreno C, Klériga E. Atypical Perfusion Manifestation in Migraine with Aura. Case Rep Neurol 2021; 13:672-676. [PMID: 34899251 PMCID: PMC8613571 DOI: 10.1159/000519508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/18/2021] [Indexed: 11/27/2022] Open
Abstract
Migraine with aura may be confused with a stroke. Magnetic resonance imaging is an important tool for the differential diagnosis. Cerebral hypoperfusion has been described in classic migraine, mainly during the aura. A 47-year-old male had an unremarkable past medical history. After sneezing, he developed a left hemi hypoesthesia, bitemporal vision loss, photopsia, and some distortion in the position of letters and words. This lasted <1 h, and it was followed by a severe headache. A magnetic resonance angiography was performed during the headache. It showed a left hemispheric hypoperfusion that did not correlate with the symptoms described by the patient. It is believed that during the aura, cerebral blood flow decreases, leading to hypoxia and decreased cellular energy generation, and these metabolic alterations define the symptoms of the patient. In our case, we documented brain hypoperfusion during the headache in the ipsilateral brain hemisphere to the symptoms, which has no clinical correlation. This condition could be due to spasm in the capillary arteries, and it may persist and influence the clinical manifestations during the headache phase in migraine with aura. A state of generalized cerebral hyperperfusion has been suggested, and there may be a coexistence of both phenomena for some period. This may open a new line of research regarding the pathophysiology and vascular changes of migraine with aura.
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Affiliation(s)
- Jacobo Lester
- Neurology, Instituto Mexicano de Neurociencias, Huixquilucan, Mexico
| | | | | | - Enrique Klériga
- Neurosurgery, Instituto Mexicano de Neurociencias, Huixquilucan, Mexico
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Gonçalves FG, Viaene AN, Vossough A. Advanced Magnetic Resonance Imaging in Pediatric Glioblastomas. Front Neurol 2021; 12:733323. [PMID: 34858308 PMCID: PMC8631300 DOI: 10.3389/fneur.2021.733323] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/12/2021] [Indexed: 12/26/2022] Open
Abstract
The shortly upcoming 5th edition of the World Health Organization Classification of Tumors of the Central Nervous System is bringing extensive changes in the terminology of diffuse high-grade gliomas (DHGGs). Previously "glioblastoma," as a descriptive entity, could have been applied to classify some tumors from the family of pediatric or adult DHGGs. However, now the term "glioblastoma" has been divested and is no longer applied to tumors in the family of pediatric types of DHGGs. As an entity, glioblastoma remains, however, in the family of adult types of diffuse gliomas under the insignia of "glioblastoma, IDH-wildtype." Of note, glioblastomas still can be detected in children when glioblastoma, IDH-wildtype is found in this population, despite being much more common in adults. Despite the separation from the family of pediatric types of DHGGs, what was previously labeled as "pediatric glioblastomas" still remains with novel labels and as new entities. As a result of advances in molecular biology, most of the previously called "pediatric glioblastomas" are now classified in one of the four family members of pediatric types of DHGGs. In this review, the term glioblastoma is still apocryphally employed mainly due to its historical relevance and the paucity of recent literature dealing with the recently described new entities. Therefore, "glioblastoma" is used here as an umbrella term in the attempt to encompass multiple entities such as astrocytoma, IDH-mutant (grade 4); glioblastoma, IDH-wildtype; diffuse hemispheric glioma, H3 G34-mutant; diffuse pediatric-type high-grade glioma, H3-wildtype and IDH-wildtype; and high grade infant-type hemispheric glioma. Glioblastomas are highly aggressive neoplasms. They may arise anywhere in the developing central nervous system, including the spinal cord. Signs and symptoms are non-specific, typically of short duration, and usually derived from increased intracranial pressure or seizure. Localized symptoms may also occur. The standard of care of "pediatric glioblastomas" is not well-established, typically composed of surgery with maximal safe tumor resection. Subsequent chemoradiation is recommended if the patient is older than 3 years. If younger than 3 years, surgery is followed by chemotherapy. In general, "pediatric glioblastomas" also have a poor prognosis despite surgery and adjuvant therapy. Magnetic resonance imaging (MRI) is the imaging modality of choice for the evaluation of glioblastomas. In addition to the typical conventional MRI features, i.e., highly heterogeneous invasive masses with indistinct borders, mass effect on surrounding structures, and a variable degree of enhancement, the lesions may show restricted diffusion in the solid components, hemorrhage, and increased perfusion, reflecting increased vascularity and angiogenesis. In addition, magnetic resonance spectroscopy has proven helpful in pre- and postsurgical evaluation. Lastly, we will refer to new MRI techniques, which have already been applied in evaluating adult glioblastomas, with promising results, yet not widely utilized in children.
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Affiliation(s)
- Fabrício Guimarães Gonçalves
- Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Arastoo Vossough
- Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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Ibrahim M, Ghazi TU, Bapuraj JR, Srinivasan A. Contrast Pediatric Brain Perfusion: Dynamic Susceptibility Contrast and Dynamic Contrast-Enhanced MR Imaging. Magn Reson Imaging Clin N Am 2021; 29:515-526. [PMID: 34717842 DOI: 10.1016/j.mric.2021.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Magnetic resonance (MR) perfusion is a robust imaging technique that assesses the passage of blood through the cerebral vascular network using a variety of techniques. The applications of MR perfusion have been expanded and is well suited to investigate cerebrovascular diseases and cerebral neoplastic processes in pediatric patients. Assessment of brain perfusion can augment the information obtained on conventional MR imaging and provides additional information on the biological and physiologic features of pediatric brain tumors. Similarly, MR perfusion can help guide the management of a variety of pediatric cerebrovascular diseases, including acute ischemic stroke and Moyamoya syndrome.
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Affiliation(s)
- Mohannad Ibrahim
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Talha Ul Ghazi
- Michigan State University, College of Human Medicine, 965 Fee Road A110, East Lansing, MI 48824, USA
| | - Jayapalli Rajiv Bapuraj
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Ashok Srinivasan
- Radiology Department, Neuroradiology Division, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
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Martín-Noguerol T, Mohan S, Santos-Armentia E, Cabrera-Zubizarreta A, Luna A. Advanced MRI assessment of non-enhancing peritumoral signal abnormality in brain lesions. Eur J Radiol 2021; 143:109900. [PMID: 34412007 DOI: 10.1016/j.ejrad.2021.109900] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/24/2021] [Accepted: 08/03/2021] [Indexed: 12/30/2022]
Abstract
Evaluation of Central Nervous System (CNS) focal lesions has been classically made focusing on the assessment solid or enhancing component. However, the assessment of solitary peripherally enhancing lesions where the differential diagnosis includes High-Grade Gliomas (HGG) and metastasis, is usually challenging. Several studies have tried to address the characteristics of peritumoral non-enhancing areas, for better characterization of these lesions. Peritumoral hyperintense T2/FLAIR signal abnormality predominantly contains infiltrating tumor cells in HGG whereas CNS metastasis induce pure vasogenic edema. In addition, the accurate determination of the real extension of HGG is critical for treatment selection and outcome. Conventional MRI sequences are limited in distinguishing infiltrating neoplasm from vasogenic edema. Advanced MRI sequences like Diffusion Weighted Imaging (DWI), Diffusion Tensor Imaging (DTI), Perfusion Weighted Imaging (PWI) and MR spectroscopy (MRS) have all been utilized for this aim with acceptable results. Other advanced MRI approaches, less explored for this task such as Arterial Spin Labelling (ASL), Diffusion Kurtosis Imaging (DKI), T2 relaxometry or Amide Proton Transfer (APT) are also showning promising results in this scenario. In this article, we will discuss the physiopathological basis of peritumoral T2/FLAIR signal abnormality and review potential applications of advanced MRI sequences for its evaluation.
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Affiliation(s)
| | - Suyash Mohan
- Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
| | | | | | - Antonio Luna
- MRI Unit, Radiology Department, HT Medica, Jaén, Spain.
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Chen HSM, Jen ML, Hou P, Stafford RJ, Liu HL. A dynamic susceptibility contrast MRI digital reference object for testing software with leakage correction: Effect of background simulation. Med Phys 2021; 48:6051-6059. [PMID: 34293208 DOI: 10.1002/mp.15125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/22/2021] [Accepted: 07/17/2021] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Dynamic susceptibility contrast (DSC)-MRI is a perfusion imaging technique from which useful quantitative imaging biomarkers can be derived. Relative cerebral blood volume (rCBV) is such a biomarker commonly used for evaluating brain tumors. To account for the extravasation of contrast agents in tumors, post-processing leakage correction is often applied to improve rCBV accuracy. Digital reference objects (DRO) are ideal for testing the post-processing software, because the biophysical model used to generate the DRO can be matched to the one that the software uses. This study aims to develop DROs to validate the leakage correction of software using Weisskoff model and to examine the effect of background signal time curves that are required by the model. METHODS Three DROs were generated using the Weisskoff model, each composed of nine foreground lesion objects with combinations of different levels of rCBV and contrast leakage parameter (K2). Three types of background were implemented for these DROs: (1) a multi-compartment brain-like background, (2) a sphere background with a constant signal time curve, and (3) a sphere background with signal time curve identical to that of the brain-like DRO's white matter (WM). The DROs were then analyzed with an FDA-cleared software with and without leakage correction. Leakage correction was tested with and without brain segmentation. RESULTS Accuracy of leakage correction was able to be verified using the brain-like phantom and the sphere phantom with WM background. The sphere with constant background did not perform well with leakage correction with or without brain segmentation. The DROs were able to verify that for the particular software tested, leakage correction with brain segmentation achieved the lowest error. CONCLUSIONS DSC-MRI DROs with biophysical model matched to that of the post-processing software can be well used for the software's validation, provided that the background signals are also properly simulated for generating the reference time curve required by the model. Care needs to be taken to consider the interaction of the design of the DRO with the software's implementation of brain segmentation to extract the reference time curve.
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Affiliation(s)
- Henry Szu-Meng Chen
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mu-Lan Jen
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ping Hou
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - R Jason Stafford
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ho-Ling Liu
- Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Correlation between dynamic susceptibility contrast perfusion MRI and genomic alterations in glioblastoma. Neuroradiology 2021; 63:1801-1810. [PMID: 33738509 DOI: 10.1007/s00234-021-02674-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 02/07/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE To determine if dynamic susceptibility contrast perfusion MR imaging (DSC-pMRI) can predict significant genomic alterations in glioblastoma (GB). METHODS A total of 47 patients with treatment-naive GB (M/F: 23/24, mean age: 54 years, age range: 20-90 years) having DSC-pMRI with leakage correction and genomic analysis were reviewed. Mean relative cerebral blood volume (rCBV), maximum rCBV, relative percent signal recovery (rPSR), and relative peak height (rPH) were derived from T2* signal intensity-time curves by ROI analysis. Major genomic alterations of IDH1-132H, MGMT, p53, EGFR, ATRX, and PTEN status were correlated with DSC-pMRI-derived GB parameters. Statistical analysis was performed utilizing the independent-samples t-test, ROC (receiver operating characteristic) curve analysis, and multivariable stepwise regression model. RESULTS rCBVmean and rCBVmax were significantly different in relation to the IDH1, MGMT, p53, and PTEN mutation status (all p < 0.05). The rPH of the p53 mutation-positive GBs (mean 5.8 ± 2.8) was significantly higher than those of the p53 mutation-negative GBs (mean 4.0 ± 1.5) (p = 0.022). Multivariable stepwise regression analysis revealed that the presence of IDH-1 mutation (B = - 2.81, p = 0.005) was associated with decreased rCBVmean; PTEN mutation (B = - 1.21, p = 0.003) and MGMT methylation (B = - 1.47, p = 0.038) were associated with decreased rCBVmax; and ATRX loss (B = - 1.05, p = 0.008) was associated with decreased rPH. CONCLUSION Significant associations were identified between DSC-pMRI-derived parameters and major genomic alterations, including IDH-1 mutation, MGMT methylation, ATRX loss, and PTEN mutation status in GB.
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Peñate Medina T, Kolb JP, Hüttmann G, Huber R, Peñate Medina O, Ha L, Ulloa P, Larsen N, Ferrari A, Rafecas M, Ellrichmann M, Pravdivtseva MS, Anikeeva M, Humbert J, Both M, Hundt JE, Hövener JB. Imaging Inflammation - From Whole Body Imaging to Cellular Resolution. Front Immunol 2021; 12:692222. [PMID: 34248987 PMCID: PMC8264453 DOI: 10.3389/fimmu.2021.692222] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 05/12/2021] [Indexed: 01/31/2023] Open
Abstract
Imaging techniques have evolved impressively lately, allowing whole new concepts like multimodal imaging, personal medicine, theranostic therapies, and molecular imaging to increase general awareness of possiblities of imaging to medicine field. Here, we have collected the selected (3D) imaging modalities and evaluated the recent findings on preclinical and clinical inflammation imaging. The focus has been on the feasibility of imaging to aid in inflammation precision medicine, and the key challenges and opportunities of the imaging modalities are presented. Some examples of the current usage in clinics/close to clinics have been brought out as an example. This review evaluates the future prospects of the imaging technologies for clinical applications in precision medicine from the pre-clinical development point of view.
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Affiliation(s)
- Tuula Peñate Medina
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
- *Correspondence: Tuula Peñate Medina, ; Jan-Bernd Hövener,
| | - Jan Philip Kolb
- Institute of Biomedical Optics, University of Lübeck, Lübeck, Germany
| | - Gereon Hüttmann
- Institute of Biomedical Optics, University of Lübeck, Lübeck, Germany
- Airway Research Center North (ARCN), Member of the German Center of Lung Research (DZL), Gießen, Germany
| | - Robert Huber
- Institute of Biomedical Optics, University of Lübeck, Lübeck, Germany
| | - Oula Peñate Medina
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
- Institute for Experimental Cancer Research (IET), University of Kiel, Kiel, Germany
| | - Linh Ha
- Department of Dermatology, Allergology and Venereology, University Hospital Schleswig-Holstein Lübeck (UKSH), Lübeck, Germany
| | - Patricia Ulloa
- Department of Radiology and Neuroradiology, University Medical Centers Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Naomi Larsen
- Department of Radiology and Neuroradiology, University Medical Centers Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Arianna Ferrari
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
| | - Magdalena Rafecas
- Institute of Medical Engineering (IMT), University of Lübeck, Lübeck, Germany
| | - Mark Ellrichmann
- Interdisciplinary Endoscopy, Medical Department1, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Mariya S. Pravdivtseva
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
- Department of Radiology and Neuroradiology, University Medical Centers Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Mariia Anikeeva
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
| | - Jana Humbert
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
- Department of Radiology and Neuroradiology, University Medical Centers Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Marcus Both
- Department of Radiology and Neuroradiology, University Medical Centers Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Jennifer E. Hundt
- Lübeck Institute for Experimental Dermatology (LIED), University of Lübeck, Lübeck, Germany
| | - Jan-Bernd Hövener
- Section Biomedical Imaging, Molecular Imaging North Competence Center (MOIN CC), Department of Radiology and Neuroradiology, University Medical Center, Schleswig-Holstein Kiel University, Kiel, Germany
- *Correspondence: Tuula Peñate Medina, ; Jan-Bernd Hövener,
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Abstract
Ischemic stroke, which is caused by a sudden clot in the blood vessels, may cause severe brain tissue damage and has become a leading cause of death globally. Currently, thrombolysis is the gold standard primary treatment of ischemic stroke in clinics. However, the short therapeutic window of opportunity limits thrombolysis utility. Secondary cerebral damage caused by stroke is also an urgent problem. In this review, we discuss the present methods of treating ischemic stroke in clinics and their limitations. Various new drug delivery strategies targeting ischemic stroke lesions have also been summarized, including pharmaceutical methods, diagnostic approaches and other routes. These strategies could change the pharmacokinetic behavior, improve targeted delivery or minimize side effects. A better understanding of the novel approaches utilized to facilitate drug delivery in ischemic stroke would improve outcomes.
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Affiliation(s)
- Qiong Wu
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Rong Yan
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang, P. R. China
| | - Jingjing Sun
- Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, P. R. China
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13
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Luzzi S, Gragnaniello C, Giotta Lucifero A, Marasco S, Elsawaf Y, Del Maestro M, Elbabaa SK, Galzio R. Anterolateral approach for subaxial vertebral artery decompression in the treatment of rotational occlusion syndrome: results of a personal series and technical note. Neurol Res 2020; 43:110-125. [PMID: 33054694 DOI: 10.1080/01616412.2020.1831303] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To report the results of a retrospective series and a technical note about the anterolateral approach for the treatment of the rotational occlusion syndrome (ROS) involving the subaxial V2 segment of the vertebral artery (VA). METHODS We retrospectively reviewed the data of a cohort of patients that underwent an anterolateral approach to decompress the VA as they suffered from ROS secondary to a subaxial compression. A dynamic study with ultrasonography, CT, MRI, and catheter-based angiography were obtained in all cases. Severe symptomatology and cerebellar-brainstem strokes were indications for surgery. The anterolateral approach involved a pre-sternocleidomastoid precarotid exposure. The retro-longus colli and pre-scalenic corridors were used to access the C5-C6 and C3-C4 segment, respectively, and to perform the decompression. RESULTS Twelve patients were treated. Recurrent drop attacks were present in all cases. Osteophytes at C5 and C6 were the most common causes of subaxial VA compression. Anterior decompression stand-alone was performed in all but 1 patient. A recurrent laryngeal nerve palsy and a numbness of the C5 nerve root were the only complications observed, both transient. A satisfactory untethering of the VA with a complete recovery was achieved in all patients, apart from those with severe infratentorial strokes. DISCUSSION READ Anterolateral approach allows for an effective and safe treatment of the ROS involving the subaxial portion of the VA. Retro-longus colli and pre-scalenic corridors, developed through a precarotid exposure, have an anatomical rationale in decreasing the risks of complications. Decompression stand-alone is adequate in almost the totality of cases.
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Affiliation(s)
- Sabino Luzzi
- Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia , Pavia, Italy.,Neurosurgery Unit, Department of Surgical Sciences, Fondazione IRCCS Policlinico San Matteo , Pavia, Italy
| | - Cristian Gragnaniello
- Department of Neurological Surgery, University of Illinois at Chicago , Chicago, IL, USA
| | - Alice Giotta Lucifero
- Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia , Pavia, Italy
| | - Stefano Marasco
- Neurosurgery Unit, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia , Pavia, Italy
| | - Yasmeen Elsawaf
- Department of Pediatric Neurosurgery, Leon Pediatric Neuroscience Center of Excellence, Arnold Palmer Hospital for Children , Orlando, FL, USA
| | - Mattia Del Maestro
- Neurosurgery Unit, Department of Surgical Sciences, Fondazione IRCCS Policlinico San Matteo , Pavia, Italy.,School in Experimental Medicine, Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia , Pavia, Italy
| | - Samer K Elbabaa
- Department of Pediatric Neurosurgery, Leon Pediatric Neuroscience Center of Excellence, Arnold Palmer Hospital for Children , Orlando, FL, USA
| | - Renato Galzio
- Neurosurgery Unit, Maria Cecilia Hospital , Cotignola, Italy
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14
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Li R, Shi PA, Liu TF, Li Y, Wang Y, Wu K, Chen XJ, Xiao HF, Wang YL, Ma L, Lou X. Role of 3D Pseudocontinuous Arterial Spin-Labeling Perfusion in the Diagnosis and Follow-Up in Patients with Herpes Simplex Encephalitis. AJNR Am J Neuroradiol 2019; 40:1901-1907. [PMID: 31649156 DOI: 10.3174/ajnr.a6279] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/26/2019] [Indexed: 01/24/2023]
Abstract
BACKGROUND AND PURPOSE Early diagnosis and treatment of herpes simplex encephalitis are crucial to reduce morbidity and mortality. Our aim was to investigate the role of 3D pseudocontinuous arterial spin-labeling in herpes simplex encephalitis. MATERIALS AND METHODS From 2014 to 2019, seventeen consecutive patients with herpes simplex encephalitis and 15 healthy volunteers were recruited in the study. Conventional MR imaging and 3D pseudocontinuous arterial spin-labeling were performed in all subjects. According to the disease duration, the lesions were classified into 3 groups, including acute, subacute, and chronic stages, respectively. Clinical, neuroradiologic, and follow-up features were studied. The normalized lesion/normal tissue CBF values of lesions at different stages were measured and compared with those in the control group, respectively. RESULTS Compared with the control group, herpes simplex encephalitis demonstrated hyperperfusion in 11 acute cases and 6 subacute cases and hypoperfusion in 6 chronic cases. The mean normalized lesion/normal tissue CBF values of the lesions were 2.68 ± 0.54 in the acute stage, 2.42 ± 0.52 in the subacute stage, and 0.87 ± 0.30 in the chronic stage, respectively. The mean normalized lesion/normal tissue CBF values of acute and subacute lesions were significantly higher than those of the control group (1.33 ± 0.08; P < .001, respectively), while the mean normalized lesion/normal tissue CBF values of chronic lesions were lower than those of the control group (P < .05). Gradual perfusion reduction on serial 3D pseudocontinuous arterial spin-labeling was observed in herpes simplex encephalitis after effective therapy. CONCLUSIONS Conventional MR imaging remains most helpful in the diagnosis of herpes simplex encephalitis, while 3D pseudocontinuous arterial spin-labeling could be an adjunctive technique by providing dynamic CBF features at different stages in herpes simplex encephalitis.
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Affiliation(s)
- R Li
- From the School of Medicine (R.L., L.M.), Nankai University, Tianjin, China
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - P-A Shi
- Department of Endocrinology (P.-A.S.), Cangzhou Central Hospital, Cangzhou, Hebei, China
| | - T-F Liu
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - Y Li
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - Y Wang
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - K Wu
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - X-J Chen
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - H-F Xiao
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - Y-L Wang
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - L Ma
- From the School of Medicine (R.L., L.M.), Nankai University, Tianjin, China
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
| | - X Lou
- Department of Radiology (R.L., T.-F.L., Y.L., Y.W., K.W., X.-J.C., H.-F.X., Y.-L.W., L.M., X.L.), Chinese People's Liberation Army General Hospital, Beijing, China
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15
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Netto JP, Iliff J, Stanimirovic D, Krohn KA, Hamilton B, Varallyay C, Gahramanov S, Daldrup-Link H, d'Esterre C, Zlokovic B, Sair H, Lee Y, Taheri S, Jain R, Panigrahy A, Reich DS, Drewes LR, Castillo M, Neuwelt EA. Neurovascular Unit: Basic and Clinical Imaging with Emphasis on Advantages of Ferumoxytol. Neurosurgery 2019; 82:770-780. [PMID: 28973554 DOI: 10.1093/neuros/nyx357] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 06/27/2017] [Indexed: 12/11/2022] Open
Abstract
Physiological and pathological processes that increase or decrease the central nervous system's need for nutrients and oxygen via changes in local blood supply act primarily at the level of the neurovascular unit (NVU). The NVU consists of endothelial cells, associated blood-brain barrier tight junctions, basal lamina, pericytes, and parenchymal cells, including astrocytes, neurons, and interneurons. Knowledge of the NVU is essential for interpretation of central nervous system physiology and pathology as revealed by conventional and advanced imaging techniques. This article reviews current strategies for interrogating the NVU, focusing on vascular permeability, blood volume, and functional imaging, as assessed by ferumoxytol an iron oxide nanoparticle.
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Affiliation(s)
- Joao Prola Netto
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Jeffrey Iliff
- Department of Anesthesiology & Perioperative Medicine, Oregon Health & Science University, Portland, Oregon
| | - Danica Stanimirovic
- Human Health Therapeutics Portfolio, National Research Council of Canada, Ottawa, Ontario, Canada
| | - Kenneth A Krohn
- Department of Radiology, University of Washington, Seattle, Washington.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Bronwyn Hamilton
- Department of Neuroradiology, Oregon Health & Science University, Portland, Oregon
| | - Csanad Varallyay
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Radiology, Oregon Health & Science University, Portland, Oregon
| | - Seymur Gahramanov
- Department of Neurosurgery, University of New Mexico, Albuquerque, New Mexico
| | | | - Christopher d'Esterre
- Department of Radiology, University of Calgary, Foothills Medical Center, Calgary, Alberta, Canada
| | - Berislav Zlokovic
- Zikha Neurogenetic Institute, University of Southern California, Los Angeles, California
| | - Haris Sair
- Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, Maryland
| | - Yueh Lee
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Saeid Taheri
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Rajan Jain
- Department of Radiology and Neurosurgery, New York University School of Medicine, New York, New York
| | - Ashok Panigrahy
- Department of Radiology, Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Daniel S Reich
- Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - Lester R Drewes
- Department of Biomedical Sciences, University of Minnesota, Duluth, Minnesota
| | - Mauricio Castillo
- Department of Radiology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Edward A Neuwelt
- Department of Neurology, Oregon Health & Science University, Portland, Oregon.,Department of Neurosurgery, Oregon Health & Science University, Portland, Oregon.,Portland Veterans Affairs Medical Center, Portland, Oregon
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16
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van Zijl P, Knutsson L. In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2019; 306:55-65. [PMID: 31377150 PMCID: PMC6703925 DOI: 10.1016/j.jmr.2019.07.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 06/19/2019] [Accepted: 07/08/2019] [Indexed: 05/07/2023]
Abstract
Over the past decades, the field of in vivo magnetic resonance (MR) has built up an impressive repertoire of data acquisition and analysis technologies for anatomical, functional, physiological, and molecular imaging, the description of which requires many book volumes. As such it is impossible for a few authors to have an authoritative overview of the field and for a brief article to be inclusive. We will therefore focus mainly on data acquisition and attempt to give some insight into the principles underlying current advanced methods in the field and the potential for further innovation. In our view, the foreseeable future is expected to show continued rapid progress, for instance in imaging of microscopic tissue properties in vivo, assessment of functional and anatomical connectivity, higher resolution physiologic and metabolic imaging, and even imaging of receptor binding. In addition, acquisition speed and information content will continue to increase due to the continuous development of approaches for parallel imaging (including simultaneous multi-slice imaging), compressed sensing, and MRI fingerprinting. Finally, artificial intelligence approaches are becoming more realistic and will have a tremendous effect on both acquisition and analysis strategies. Together, these developments will continue to provide opportunity for scientific discovery and, in combination with large data sets from other fields such as genomics, allow the ultimate realization of precision medicine in the clinic.
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Affiliation(s)
- Peter van Zijl
- Department of Radiology, Johns Hopkins University, F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.
| | - Linda Knutsson
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
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17
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Pepin K, Grimm R, Kargar S, Howe BM, Fritchie K, Frick M, Wenger D, Okuno S, Ehman R, McGee K, James S, Laack N, Herman M, Pafundi D. Soft Tissue Sarcoma Stiffness and Perfusion Evaluation by MRE and DCE-MRI for Radiation Therapy Response Assessment: A Technical Feasibility Study. Biomed Phys Eng Express 2019; 5:10.1088/2057-1976/ab2175. [PMID: 32110433 PMCID: PMC7045581 DOI: 10.1088/2057-1976/ab2175] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Soft tissue sarcomas are a rare and heterogeneous group of malignancies that present significant diagnostic and therapeutic challenges. Patient stratification based on tumor aggressiveness and early therapeutic response based on quantitative imaging may improve prediction of treatment response and the evaluation of new treatment strategies in clinical trials. The purpose of this pilot study was to determine the technical feasibility of magnetic resonance elastography (MRE) and dynamic contrast-enhanced (DCE) MRI for the evaluation of sarcoma stiffness and perfusion in 9 patients with histologically confirmed sarcoma. Additionally, we assessed the feasibility of utilizing MRE and DCE-MRI for the early evaluation of response to radiation therapy in 4 patients to determine the utility of further evaluation in a larger cohort study. Tumor size, stiffness, and perfusion parameters all decreased from baseline at the time of the pre-surgery or follow-up MRI, and results were compared to pathology or conventional imaging. MRE and DCE-MRI may be useful for the quantitative evaluation of tumor stiffness and perfusion, and therapy response assessment in soft tissue sarcomas.
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Affiliation(s)
- Kay Pepin
- Department of Radiation Oncology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Roger Grimm
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Soudabeh Kargar
- Mayo Clinic Graduate School of Biomedical Sciences, 200 1 Street SW, Rochester, MN 55905
| | - B Matthew Howe
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Karen Fritchie
- Department of Pathology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Matthew Frick
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Doris Wenger
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Scott Okuno
- Department of Oncology, Mayo Clinic, 200 1 St SW, Rochester MN, 55905
| | - Richard Ehman
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Kiaran McGee
- Department of Radiology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Sarah James
- Department of Radiation Oncology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Nadia Laack
- Department of Radiation Oncology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Michael Herman
- Department of Radiation Oncology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
| | - Deanna Pafundi
- Department of Radiation Oncology, Mayo Clinic, 200 1 Street SW, Rochester, MN 55905
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18
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Moreira Ferreira VF, Meredith D, Stankiewicz JM. Tumefactive demyelination in a patient with relapsing-remitting MS on ocrelizumab. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2019; 6:6/5/e589. [PMID: 31454764 PMCID: PMC6705626 DOI: 10.1212/nxi.0000000000000589] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 05/21/2019] [Indexed: 11/20/2022]
Affiliation(s)
- Vanessa F Moreira Ferreira
- From the Department of Neurology (V.F.M.F., J.M.S.); and Department of Pathology (D.M.), Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - David Meredith
- From the Department of Neurology (V.F.M.F., J.M.S.); and Department of Pathology (D.M.), Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA
| | - James M Stankiewicz
- From the Department of Neurology (V.F.M.F., J.M.S.); and Department of Pathology (D.M.), Brigham and Women's Hospital, Partners MS Center, Harvard Medical School, Boston, MA.
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19
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Ji B, Wang S, Liu Z, Weinberg BD, Yang X, Liu T, Wang L, Mao H. Revealing hemodynamic heterogeneity of gliomas based on signal profile features of dynamic susceptibility contrast-enhanced MRI. NEUROIMAGE-CLINICAL 2019; 23:101864. [PMID: 31176951 PMCID: PMC6558214 DOI: 10.1016/j.nicl.2019.101864] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 04/30/2019] [Accepted: 05/19/2019] [Indexed: 01/25/2023]
Abstract
Dynamic susceptibility contrast enhanced magnetic resonance imaging (DSC MRI) is widely used for studying blood perfusion in brain tumors. While the time-dependent change of MRI signals related to the concentration of the tracer is used to derive the hemodynamic parameters such as regional blood volume and flow into tumors, the tissue-specific information associated with variations in profiles of signal time course is often overlooked. We report a new approach of combining model free independent component analysis (ICA) identification of specific signal profiles of DSC MRI time course data and extraction of the features from those time course profiles to interrogate time course data followed by calculating the region specific blood volume based on selected individual time courses. Based on the retrospective analysis of DSC MRI data from 38 patients with pathology confirmed low (n = 18) and high (n = 20) grade gliomas, the results reveal the spatially defined intra-tumoral hemodynamic heterogeneity of brain tumors based on features of time course profiles. The hemodynamic heterogeneity as measured by the number of independent components of time course data is associated with the tumor grade. Using 8 selected signal profile features, machine-learning trained algorithm, e.g., logistic regression, was able to differentiate pathology confirmed low intra-tumoral and high grade gliomas with an accuracy of 86.7%. Furthermore, the new method can potentially extract more tumor physiological information from DSC MRI comparing to the traditional model-based analysis and morphological analysis of tumor heterogeneity, thus may improve the characterizations of gliomas for better diagnosis and treatment decisions. Signal profiles of dynamic susceptibility contrast MRI data of brain tumors reflect hemodynamic properties of tumor tissue. Features in signal profiles extracted by machine learning methods revealed the hemodynamic heterogeneity of the gliomas. The reported approach is a new strategy to characterize the intra-tumor heterogeneity and physiological properties of gliomas.
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Affiliation(s)
- Bing Ji
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Silun Wang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Zhou Liu
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America; Medical College of Nanchang University, Nanchang, Jiangxi, China
| | - Brent D Weinberg
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Xiaofeng Yang
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Tianming Liu
- Department of Computer Sciences, University of Georgia, Athens, GA, United States of America
| | - Liya Wang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America; Medical College of Nanchang University, Nanchang, Jiangxi, China; Department of Radiology, The People's Hospital of Longhua, Shenzhen, Guangdong, China.
| | - Hui Mao
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
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20
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Rahimzadeh H, Fathi Kazerooni A, Deevband MR, Saligheh Rad H. An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors. J Biomed Phys Eng 2019; 9:69-80. [PMID: 30881936 PMCID: PMC6409368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 03/28/2018] [Indexed: 06/09/2023]
Abstract
INTRODUCTION Automatic and accurate arterial input function (AIF) selection has an essential role for quantification of cerebral perfusion hemodynamic parameters using dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI). The purpose of this study is to develop an optimal automatic method for arterial input function determination in DSC-MRI of glioma brain tumors by using a new preprocessing method. MATERIAL AND METHODS For this study, DSC-MR images of 43 patients with glioma brain tumors were retrieved retrospectively. Our proposed AIF selection framework consisted an effcient pre-processing step, through which non-arterial curves such as tumorous, tissue, noisy and partial-volume affected curves were excluded, followed by AIF selection through agglomerative hierarchical (AH) clustering method. The performance of automatic AIF clustering was compared with manual AIF selection performed by an experienced radiologist, based on curve shape parameters, i.e. maximum peak (MP), full-width-at-half-maximum (FWHM), M (=MP/ (TTP × FWHM)) and root mean square error (RMSE). RESULTS Mean values of AIFs shape parameters were compared with those derived from manually selected AIFs by two-tailed paired t-test. The results showed statistically insignificant differences in MP, FWHM, and M parameters and lower RMSE, approving the resemblance of the selected AIF with the gold standard. The intraclass correlation coefficient and coefficients of variation percent showed a better agreement between manual AIF and our proposed AIF selection than previously proposed methods. CONCLUSION The results of current work suggest that by using efficient preprocessing steps, the accuracy of automatic AIF selection could be improved and this method appears promising for efficient and accurate clinical applications.
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Affiliation(s)
- H Rahimzadeh
- Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
- Department of Bioengineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - A Fathi Kazerooni
- Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
- 3Department of Biomedical Engineering and Medical Physics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - M R Deevband
- Department of Bioengineering and Medical Physics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - H Saligheh Rad
- Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
- 3Department of Biomedical Engineering and Medical Physics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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21
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Chen L, Zeng X, Wu Y, Yan X, Huang X, Chen H, Zhang J, Wang J, Feng L. A Study of the Correlation of Perfusion Parameters in High‐Resolution GRASP MRI With Microvascular Density in Lung Cancer. J Magn Reson Imaging 2018; 49:1186-1194. [PMID: 30390364 DOI: 10.1002/jmri.26340] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 08/27/2018] [Accepted: 08/27/2018] [Indexed: 02/06/2023] Open
Affiliation(s)
- Lihua Chen
- Department of RadiologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
- Department of RadiologyPLA 101st Hospital Wuxi Jiangsu P.R. China
| | - Xianchun Zeng
- Department of RadiologyGuizhou Provincial People's Hospital Guizhou P.R. China
| | - Youli Wu
- Department of PathologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
| | - Xiaochu Yan
- Department of PathologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
| | - Xuequan Huang
- Department of RadiologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
| | - Hui Chen
- Department of RadiologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
| | - Jiuquan Zhang
- Department of RadiologyChongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital Chongqing P.R. China
- Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University)Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital Chongqing P.R. China
| | - Jian Wang
- Department of RadiologySouthwest Hospital, Army Medical University (Third Military Medical University) Chongqing P.R. China
| | - Li Feng
- Department of Medical PhysicsMemorial Sloan Kettering Cancer Center New York New York USA
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Freyschlag CF, Krieg SM, Kerschbaumer J, Pinggera D, Forster MT, Cordier D, Rossi M, Miceli G, Roux A, Reyes A, Sarubbo S, Smits A, Sierpowska J, Robe PA, Rutten GJ, Santarius T, Matys T, Zanello M, Almairac F, Mondot L, Jakola AS, Zetterling M, Rofes A, von Campe G, Guillevin R, Bagatto D, Lubrano V, Rapp M, Goodden J, De Witt Hamer PC, Pallud J, Bello L, Thomé C, Duffau H, Mandonnet E. Imaging practice in low-grade gliomas among European specialized centers and proposal for a minimum core of imaging. J Neurooncol 2018; 139:699-711. [PMID: 29992433 PMCID: PMC6132968 DOI: 10.1007/s11060-018-2916-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 05/29/2018] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Imaging studies in diffuse low-grade gliomas (DLGG) vary across centers. In order to establish a minimal core of imaging necessary for further investigations and clinical trials in the field of DLGG, we aimed to establish the status quo within specialized European centers. METHODS An online survey composed of 46 items was sent out to members of the European Low-Grade Glioma Network, the European Association of Neurosurgical Societies, the German Society of Neurosurgery and the Austrian Society of Neurosurgery. RESULTS A total of 128 fully completed surveys were received and analyzed. Most centers (n = 96, 75%) were academic and half of the centers (n = 64, 50%) adhered to a dedicated treatment program for DLGG. There were national differences regarding the sequences enclosed in MRI imaging and use of PET, however most included T1 (without and with contrast, 100%), T2 (100%) and TIRM or FLAIR (20, 98%). DWI is performed by 80% of centers and 61% of centers regularly performed PWI. CONCLUSION A minimal core of imaging composed of T1 (w/wo contrast), T2, TIRM/FLAIR, PWI and DWI could be identified. All morphologic images should be obtained in a slice thickness of ≤ 3 mm. No common standard could be obtained regarding advanced MRI protocols and PET. IMPORTANCE OF THE STUDY We believe that our study makes a significant contribution to the literature because we were able to determine similarities in numerous aspects of LGG imaging. Using the proposed "minimal core of imaging" in clinical routine will facilitate future cooperative studies.
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Affiliation(s)
- Christian F Freyschlag
- Department of Neurosurgery, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria.
| | - Sandro M Krieg
- Department of Neurosurgery, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Johannes Kerschbaumer
- Department of Neurosurgery, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Daniel Pinggera
- Department of Neurosurgery, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | | | - Dominik Cordier
- Department of Neurosurgery, Universitätsspital Basel, Basel, Switzerland
| | - Marco Rossi
- Neurosurgical Oncology Unit, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Gabriele Miceli
- Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Alexandre Roux
- Department of Neurosurgery, Sainte-Anne Hospital, Paris Descartes University, Sorbonne Paris Cité, Paris, France
- Inserm U894, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris, France
| | - Andrés Reyes
- European Master's in Clinical Linguistics (EMCL), University of Groningen, Groningen, The Netherlands
- EMCL University of Potsdam, Potsdam, Germany
- Neuroscience Institute, and Laboratory of Experimental Psychology, Faculty of Psychology, El Bosque University, Bogotá, Colombia
| | - Silvio Sarubbo
- Division of Neurosurgery, Structural and Functional Connectivity Lab Project, "S. Chiara" Hospital, APSS, Trento, Italy
| | - Anja Smits
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neuroscience, Neurology, Uppsala University, Uppsala, Sweden
| | - Joanna Sierpowska
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute (IDIBELL), University of Barcelona, Barcelona, Spain
- Department of Cognition, Development and Education Psychology, Barcelona, Spain
| | - Pierre A Robe
- Department of Neurology and Neurosurgery, Rudolf Magnus Brain Institute, University Medical Center of Utrecht, Utrecht, The Netherlands
| | - Geert-Jan Rutten
- Department of Neurosurgery, Elisabeth-Tweesteden Hospital, Tilburg, The Netherlands
| | - Thomas Santarius
- Department of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Tomasz Matys
- Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Marc Zanello
- Department of Neurosurgery, Sainte-Anne Hospital, Paris Descartes University, Sorbonne Paris Cité, Paris, France
- Inserm U894, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris, France
| | - Fabien Almairac
- Neurosurgery Department, Hôpital Pasteur 2, University Hospital of Nice, Nice, France
| | - Lydiane Mondot
- Radiology Department, Hôpital Pasteur 2, University Hospital of Nice, Nice, France
| | - Asgeir S Jakola
- Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
| | - Maria Zetterling
- Department of Neurosurgery, Institution of Neuroscience, Uppsala University Hospital, Uppsala, Sweden
| | - Adrià Rofes
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Department of Cognitive Science, Johns Hopkins University, Baltimore, USA
| | - Gord von Campe
- Department of Neurosurgery, Medical University Graz, Graz, Austria
| | - Remy Guillevin
- DACTIM, UMR CNRS 7348, Université de Poitiers et CHU de Poitiers, Poitiers, France
| | - Daniele Bagatto
- Neuroradiology Department, University Hospital Santa Maria della Misericordia, Udine, Italy
| | - Vincent Lubrano
- Department of Neurosurgery, CHU Toulouse, Toulouse, France
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Marion Rapp
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - John Goodden
- Department of Neurosurgery, The General Infirmary at Leeds, Leeds, West Yorkshire, UK
| | | | - Johan Pallud
- Department of Neurosurgery, Sainte-Anne Hospital, Paris Descartes University, Sorbonne Paris Cité, Paris, France
- Inserm U894, IMA-Brain, Centre de Psychiatrie et Neurosciences, Paris, France
| | - Lorenzo Bello
- Neurosurgical Oncology Unit, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, Anichstrasse 35, 6020, Innsbruck, Austria
| | - Hugues Duffau
- Department of Neurosurgery, Hôpital Gui de Chauliac, Montpellier Medical University Center, Montpellier, France
- Institute of Neuroscience of Montpellier, INSERM U1051, University of Montpellier, Montpellier, France
| | - Emmanuel Mandonnet
- Department of Neurosurgery, Lariboisière Hospital, APHP, Paris, France
- University Paris 7, Paris, France
- IMNC, UMR 8165, Orsay, France
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Ciritsis A, Boss A, Rossi C. Automated pixel-wise brain tissue segmentation of diffusion-weighted images via machine learning. NMR IN BIOMEDICINE 2018; 31:e3931. [PMID: 29697165 DOI: 10.1002/nbm.3931] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 02/27/2018] [Accepted: 03/09/2018] [Indexed: 06/08/2023]
Abstract
The diffusion-weighted (DW) MR signal sampled over a wide range of b-values potentially allows for tissue differentiation in terms of cellularity, microstructure, perfusion, and T2 relaxivity. This study aimed to implement a machine learning algorithm for automatic brain tissue segmentation from DW-MRI datasets, and to determine the optimal sub-set of features for accurate segmentation. DWI was performed at 3 T in eight healthy volunteers using 15 b-values and 20 diffusion-encoding directions. The pixel-wise signal attenuation, as well as the trace and fractional anisotropy (FA) of the diffusion tensor, were used as features to train a support vector machine classifier for gray matter, white matter, and cerebrospinal fluid classes. The datasets of two volunteers were used for validation. For each subject, tissue classification was also performed on 3D T1 -weighted data sets with a probabilistic framework. Confusion matrices were generated for quantitative assessment of image classification accuracy in comparison with the reference method. DWI-based tissue segmentation resulted in an accuracy of 82.1% on the validation dataset and of 82.2% on the training dataset, excluding relevant model over-fitting. A mean Dice coefficient (DSC) of 0.79 ± 0.08 was found. About 50% of the classification performance was attributable to five features (i.e. signal measured at b-values of 5/10/500/1200 s/mm2 and the FA). This reduced set of features led to almost identical performances for the validation (82.2%) and the training (81.4%) datasets (DSC = 0.79 ± 0.08). Machine learning techniques applied to DWI data allow for accurate brain tissue segmentation based on both morphological and functional information.
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Affiliation(s)
- Alexander Ciritsis
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Andreas Boss
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Cristina Rossi
- Department of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
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Accuracy and Repeatability of Automated Injector Versus Manual Administration of an MRI Contrast Agent-Results of a Laboratory Study. Invest Radiol 2018; 53:1-5. [PMID: 28796722 PMCID: PMC5728584 DOI: 10.1097/rli.0000000000000403] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The aim of this study was to compare flow rates over time and the deviations from the target flow rate of a magnetic resonance imaging contrast agent achieved by an automated injector versus manual injection. MATERIALS AND METHODS In this laboratory study, the magnetic resonance contrast agent gadobutrol was repeatedly injected by an injector and by 10 experienced technologists. Six scenarios with 2 different target flow rates (1 and 5 mL/s), 2 different contrast volumes (10 and 20 mL), and 2 different intravenous (IV) catheters (22 gauge and 20 gauge) were tested. The flow rates over time were recorded. The target variable was the average absolute deviation and average absolute percentage deviation from the target flow rate. RESULTS The flow rates over time achieved by an injector were almost identical. Slight deviations from the target flow rate occurred during ramp-up and ramp-down only. Those of manual injection showed high variability over the whole course of the injection. In the 1 mL/s scenarios, the injector deviated from the target flow rate by 0.06 mL/s or less (≤6%) and in the 5 mL/s scenarios by 1.02 mL/s or less (<20%). For the manual injections at the same flow rates, these figures were 0.35 mL/s or less (≤35%) and 3.1 mL/s or less (≤62%). CONCLUSIONS Injector administration of a magnetic resonance contrast agent minimally deviated from the target flow rate, whereas manual injection varied widely. Injector administration is more accurate and repeatable.
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Anzalone N, Castellano A, Cadioli M, Conte GM, Cuccarini V, Bizzi A, Grimaldi M, Costa A, Grillea G, Vitali P, Aquino D, Terreni MR, Torri V, Erickson BJ, Caulo M. Brain Gliomas: Multicenter Standardized Assessment of Dynamic Contrast-enhanced and Dynamic Susceptibility Contrast MR Images. Radiology 2018; 287:933-943. [DOI: 10.1148/radiol.2017170362] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Lee JY, Ahn KJ, Lee YS, Jang JH, Jung SL, Kim BS. Differentiation of grade II and III oligodendrogliomas from grade II and III astrocytomas: a histogram analysis of perfusion parameters derived from dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) MRI. Acta Radiol 2018; 59:723-731. [PMID: 28862024 DOI: 10.1177/0284185117728981] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Since oligodendroglial tumors are sensitive to chemotherapy and have a better prognosis, the differentiation of oligodendroglial tumors (OT) from astrocytic tumors (AT) is important. Purpose To investigate the perfusion and permeability parameters that differentiate grade II and III OT from AT, using dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI). Material and Methods We retrospectively reviewed the DCE and DSC MRIs of 39 patients with OT (OTs, n = 19; grade II, n = 12 and grade III, n = 7) and AT (ATs, n = 20; grade II, n = 7 and grade III, n = 13). Glioblastomas were not included. Various histogram parameters of relative cerebral blood volume, volume transfer constant (Ktrans), flux rate constant (Kep), plasma volume fraction (Vp), and extravascular extracellular volume fraction (Ve) from DSC and DCE MRI, were compared between the two groups. Univariable and multivariable logistic regression were used to distinguish OT from AT. Receiver operating characteristic (ROC) curve analysis was performed. Results On the results of DCE MRI, most of the histogram parameters of Ktrans, Kep, and Ve showed tendencies toward higher values in OT than AT. Multivariable logistic regression revealed that the 50th Kep and 95th Ktrans were the most significant parameters predictive of OT, with an odds ratio of 3.7 and 2.5, respectively ( P = 0.004 and 0.03). The area under the curve from the ROC curve analysis for the 50th Kep and the 95th Ktrans were 0.81 and 0.80, respectively. Conclusion The DCE MRI-derived parameters of Ktrans and Kep could facilitate differentiation of OT from AT.
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Affiliation(s)
- Ji Young Lee
- Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kook Jin Ahn
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Youn Soo Lee
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jin Hee Jang
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - So Lyung Jung
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bum Soo Kim
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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Abstract
Purpose of Review Chordoma are rare tumours of the axial skeleton which occur most often at the base of the skull and in the sacrum. Although chordoma are generally slow-growing lesions, the recurrence rate is high and the location makes it often difficult to treat. Both computed tomography (CT) and magnetic resonance imaging (MRI) are crucial in the initial diagnosis, treatment planning and post-treatment follow-up. Recent Findings Basic MRI and CT characteristics of chordoma were described in the late 1980s and early 1990s. Since then, imaging techniques have evolved with increased resolution and new molecular imaging tools are rapidly evolving. New imaging tools have been developed not only to study anatomy, but also physiologic changes and characterization of tissue and assessment of tumour biology. Recent studies show the uptake of multiple PET tracers in chordoma, which may become an important aspect in the diagnosis, follow-up and personalized therapy. Summary This review gives an overview of skull base chordoma histopathology, classic imaging characteristics, radiomics and state-of-the-art imaging techniques that are now emerging in diagnosis, treatment planning and disease monitoring of skull base chordoma.
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28
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Differentiation of glioblastoma multiforme, metastases and primary central nervous system lymphomas using multiparametric perfusion and diffusion MR imaging of a tumor core and a peritumoral zone-Searching for a practical approach. PLoS One 2018; 13:e0191341. [PMID: 29342201 PMCID: PMC5771619 DOI: 10.1371/journal.pone.0191341] [Citation(s) in RCA: 73] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 01/03/2018] [Indexed: 11/24/2022] Open
Abstract
Introduction In conventional MR examinations glioblastomas multiforme (GBMs), metastases and primary CNS lymphomas (PCNSLs) may show very similar appearance. The aim of the study was to evaluate usefulness of multiparametric T2*DSC perfusion and diffusion MR imaging in the preoperative differentiation of these tumors. Material and methods Seventy four solitary enhancing tumors (27 GBMs, 30 metastases, 17 PCNSLs) were enrolled in the study. Parameters of cerebral blood volume (rCBV), peak height (rPH), percentage of signal recovery (rPSR) and apparent diffusion coefficient (ADC) were assessed from the tumor core and the peritumoral non-enhancing T2-hyperintense zone. Results Within the tumor core there were no differences in perfusion and diffusion parameters between GBMs and metastases. Compared to GBMs and metastases, PCNSLs showed significantly lower rCBV and rPH, ADC as well as higher rPSR values. Max rCBV with a cut-off value of 2.18 demonstrated the highest accuracy of 0.98 in differentiating PCNSLs from other tumors. To distinguish GBMs from metastases analysis of the peritumoral zone was performed showing significantly higher rCBV, rPH and lower ADC values in GBMs with the highest accuracy of 0.94 found for max rCBV at a cut-off value of 0.98. Conclusions Max rCBV seems to be the most important parameter to differentiate GBMs, metastases and PCNSLs. Analysis of max rCBV within the tumor core enables to distinguish hypoperfused PCNSLs from hyperperfused GBMs and metastases while evaluation of max rCBV within the peritumoral zone is helpful to distinguish GBMs showing peritumoral infiltration from metastases surrounded by pure edema.
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MRI Features and IDH Mutational Status of Grade II Diffuse Gliomas: Impact on Diagnosis and Prognosis. AJR Am J Roentgenol 2017; 210:621-628. [PMID: 29261348 DOI: 10.2214/ajr.17.18457] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Grade II diffuse gliomas (DGs) with isocitrate dehydrogenase (IDH) mutations are associated with better prognosis than their IDH wild-type counterparts. We sought to determine the MRI characteristics associated with IDH mutational status and ascertain whether MRI considered in combination with IDH mutational status can better predict the clinical outcomes of grade II DGs. MATERIALS AND METHODS Preoperative MRI examinations were retrospectively studied for qualitative tumor characteristics, including location, extent, cortical involvement, margin sharpness, cystic component, mineralization or hemorrhage, and contrast enhancement. Quantitative diffusion and perfusion metrics were also assessed. Logistic regression and ROC analyses were used to evaluate the relationship between MRI features and IDH mutational status. The association between IDH mutational status, 1p19q codeletion, MRI features, extent of resection, and clinical outcomes was assessed by Kaplan-Meier and Cox proportional hazards models. RESULTS Of 100 grade II DGs, 78 were IDH mutant and 22 were IDH wild type. IDH wild-type tumors were associated with older age, multifocality, brainstem involvement, lack of cystic change, and a lower apparent diffusion coefficient (ADC). Multivariable regression showed that age older than 45 years as well as low minimum ADC (ADCmin), mean ADC, and maximum ADC values were independently associated with IDH mutational status. Of these, an ADCmin threshold of 0.9 × 10-3 mm2/s or less provided the greatest sensitivity and specificity (91% and 76%, respectively) in defining IDH wild-type grade II DGs. Combining low ADCmin with IDH wild-type status conferred worse outcomes than did IDH wild-type status alone. CONCLUSION IDH wild-type grade II DGs are associated with a lower ADC and poor clinical outcomes. Combining IDH mutational status and ADC may allow more accurate prediction of clinical outcomes for patients with grade II DGs.
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Ludewig P, Gdaniec N, Sedlacik J, Forkert ND, Szwargulski P, Graeser M, Adam G, Kaul MG, Krishnan KM, Ferguson RM, Khandhar AP, Walczak P, Fiehler J, Thomalla G, Gerloff C, Knopp T, Magnus T. Magnetic Particle Imaging for Real-Time Perfusion Imaging in Acute Stroke. ACS NANO 2017; 11:10480-10488. [PMID: 28976180 DOI: 10.1021/acsnano.7b05784] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The fast and accurate assessment of cerebral perfusion is fundamental for the diagnosis and successful treatment of stroke patients. Magnetic particle imaging (MPI) is a new radiation-free tomographic imaging method with a superior temporal resolution, compared to other conventional imaging methods. In addition, MPI scanners can be built as prehospital mobile devices, which require less complex infrastructure than computed tomography (CT) and magnetic resonance imaging (MRI). With these advantages, MPI could accelerate the stroke diagnosis and treatment, thereby improving outcomes. Our objective was to investigate the capabilities of MPI to detect perfusion deficits in a murine model of ischemic stroke. Cerebral ischemia was induced by inserting of a microfilament in the internal carotid artery in C57BL/6 mice, thereby blocking the blood flow into the medial cerebral artery. After the injection of a contrast agent (superparamagnetic iron oxide nanoparticles) specifically tailored for MPI, cerebral perfusion and vascular anatomy were assessed by the MPI scanner within seconds. To validate and compare our MPI data, we performed perfusion imaging with a small animal MRI scanner. MPI detected the perfusion deficits in the ischemic brain, which were comparable to those with MRI but in real-time. For the first time, we showed that MPI could be used as a diagnostic tool for relevant diseases in vivo, such as an ischemic stroke. Due to its shorter image acquisition times and increased temporal resolution compared to that of MRI or CT, we expect that MPI offers the potential to improve stroke imaging and treatment.
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Affiliation(s)
| | - Nadine Gdaniec
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | | | - Nils D Forkert
- Department of Radiology and Hotchkiss Brain Institute, University of Calgary , Calgary, AB T2N 1N4, Canada
| | - Patryk Szwargulski
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | - Matthias Graeser
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
| | | | | | - Kannan M Krishnan
- LodeSpin Laboratories LLC , Seattle, Washington 98103, United States
- Materials Science and Engineering Department, University of Washington , Seattle, Washington 98195, United States
| | | | - Amit P Khandhar
- LodeSpin Laboratories LLC , Seattle, Washington 98103, United States
| | - Piotr Walczak
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine , Baltimore, Maryland 21205, United States
- Department of Neurology and Neurosurgery, University of Warmia and Mazury , Olsztyn, Poland
| | | | | | | | - Tobias Knopp
- Institute for Biomedical Imaging, Hamburg University of Technology , 21071 Hamburg, Germany
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Nabavizadeh SA, Chawla S, Agarwal M, Mohan S. Chapter 8 On the Horizon: Advanced Imaging Techniques to Improve Noninvasive Assessment of Cervical Lymph Nodes. Semin Ultrasound CT MR 2017; 38:542-556. [PMID: 29031370 DOI: 10.1053/j.sult.2017.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Conventional imaging modalities are limited in the evaluation of lymph nodes as they predominantly rely on size and morphology, which have suboptimal sensitivity and specificity for malignancy. In this review we will explore the role of "on the horizon" advanced imaging modalities that can look beyond the size and morphologic features of a cervical lymph node and explore its molecular nature and can aid in personalizing therapy rather than use the "one-size-fits-all" approach.
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Affiliation(s)
- Seyed Ali Nabavizadeh
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Sanjeev Chawla
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Mohit Agarwal
- Division of Neuroradiology, Department of Radiology, Medical College of Wisconsin, Milwaukee, WI
| | - Suyash Mohan
- Division of Neuroradiology, Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
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Villanueva-Meyer JE, Mabray MC, Cha S. Current Clinical Brain Tumor Imaging. Neurosurgery 2017; 81:397-415. [PMID: 28486641 PMCID: PMC5581219 DOI: 10.1093/neuros/nyx103] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 02/23/2017] [Indexed: 01/12/2023] Open
Abstract
Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post-therapy assessment of brain tumors. This review provides an overview of current magnetic resonance imaging (MRI) methods routinely employed in the care of the brain tumor patient. Specifically, we focus on advanced techniques including diffusion, perfusion, spectroscopy, tractography, and functional MRI as they pertain to noninvasive characterization of brain tumors and pretreatment evaluation. The utility of both structural and physiological MRI in the post-therapeutic brain evaluation is also reviewed with special attention to the challenges presented by pseudoprogression and pseudoresponse.
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Affiliation(s)
- Javier E. Villanueva-Meyer
- Department of Radiology and Biomedical Imaging, Neuroradiology Section, University of California San Francisco, San Francisco, California
| | - Marc C. Mabray
- Department of Radiology and Biomedical Imaging, Neuroradiology Section, University of California San Francisco, San Francisco, California
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, Neuroradiology Section, University of California San Francisco, San Francisco, California
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Abstract
PURPOSE OF REVIEW Magnetic resonance imaging (MRI) is routinely employed in the diagnosis and clinical management of brain tumors. This review provides an overview of the advancements in the field of MRI, with a particular focus on the quantitative assessment by advanced physiological magnetic resonance techniques in light of the new molecular classification of brain tumor. RECENT FINDINGS Understanding how molecular phenotypes of brain tumors are reflected in noninvasive imaging is the goal of radiogenomics, which aims at determining the association between imaging features and molecular markers in neuro-oncology. Advanced MRI techniques such as diffusion magnetic resonance imaging and perfusion-weighted imaging add important structural, hemodynamic, and physiological information for tumor diagnosis and classification, as well as to stratify tumor response. Magnetic resonance spectroscopy is able to depict with unprecedented accuracy metabolic biomarkers, which are relevant for molecular subtyping. Ultra-high-field imaging enhances anatomical detail and enables to explore new horizon in tumor imaging. SUMMARY The noninvasive MRI-based assessment of tumor malignancy and molecular status may offer the opportunity to predict prognosis and to select patients who may be candidates for individualized targeted therapies, providing more sensitive tools for their follow-up.
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Perfusion MRI Can Impact Treatment Decision in Ictal–Interictal Continuum. J Clin Neurophysiol 2017; 34:e15-e18. [DOI: 10.1097/wnp.0000000000000350] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Griffith B, Jain R. Perfusion Imaging in Neuro-Oncology: Basic Techniques and Clinical Applications. Magn Reson Imaging Clin N Am 2017; 24:765-779. [PMID: 27742116 DOI: 10.1016/j.mric.2016.07.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Perfusion imaging is a method for assessing the flow of blood occurring at the tissue level and can be accomplished by both CT and MR perfusion techniques. The use of perfusion imaging has increased substantially in the past decade, particularly in neuro-oncologic imaging, where it is has been used for brain tumor grading and directing biopsies or targeted therapy, as well as for the evaluation of treatment response and disease progression. This article discusses the basic principles and techniques of perfusion imaging, as well as its applications in neuro-oncology.
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Affiliation(s)
- Brent Griffith
- Department of Radiology, Henry Ford Health System, Detroit, MI, USA.
| | - Rajan Jain
- NYU School of Medicine, NYU Langone Medical Center, New York, NY, USA
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Marzi S, Piludu F, Forina C, Sanguineti G, Covello R, Spriano G, Vidiri A. Correlation study between intravoxel incoherent motion MRI and dynamic contrast-enhanced MRI in head and neck squamous cell carcinoma: Evaluation in primary tumors and metastatic nodes. Magn Reson Imaging 2017; 37:1-8. [DOI: 10.1016/j.mri.2016.10.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Revised: 09/07/2016] [Accepted: 10/05/2016] [Indexed: 12/12/2022]
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Stadler KL, Pease AP, Ballegeer EA. Dynamic Susceptibility Contrast Magnetic Resonance Imaging Protocol of the Normal Canine Brain. Front Vet Sci 2017; 4:41. [PMID: 28377923 PMCID: PMC5359224 DOI: 10.3389/fvets.2017.00041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 03/07/2017] [Indexed: 01/06/2023] Open
Abstract
Perfusion magnetic resonance imaging (MRI), specifically dynamic susceptibility MRI (DSC-MRI) is routinely performed as a supplement to conventional MRI in human medicine for patients with intracranial neoplasia and cerebrovascular events. There is minimal data on the use of DSC-MRI in veterinary patients and a DSC-MRI protocol in the veterinary patient has not been described. Sixteen normal dogs, 6 years or older were recruited for this study. The sample population included 11 large dogs (>11 kg) and 5 small dogs (<11 kg). DSC-MRI was performed on a 1.5-T MRI using an adjusted protocol inherent to the MRI. Contrast media was injected using an automatic power injector. Injections were made after five MR measurements were obtained. Following image acquisition, an arterial input function (AIF) graph mapping the transit time of contrast within the cerebral arteries was generated. The manually selected time points along this graph were used to compute perfusion maps. A dose and rate of 0.1 mmol/kg gadolinium-based contrast media at 3 ml/s followed by 10 ml saline flush at 3 ml/s was used in all dogs greater than 11 kg. In all dogs >11 kg, a useable AIF and perfusion map was generated. One dog less than 11 kg received the same contrast dose and rate. In this patient, the protocol did not generate a useable AIF. The remainder of the dogs less than 11 kg followed a protocol of 0.2 mmol/kg gadolinium-based contrast media at 1.5 ml/s with a 10 ml saline flush at 1.5 ml/s. A useable AIF and perfusion map was generated in the remaining dogs <11 kg using the higher contrast dose and slower rate protocol. This study establishes a contrast dose and administration rate for canine DSC-MRI imaging that is different in dogs greater than 11 kg compared to dogs less than 11 kg. These protocols may be used for future applications to evaluate hemodynamic disturbances in canine intracranial pathology.
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Affiliation(s)
- Krystina L Stadler
- Department of Small Animal Clinical Sciences, Michigan State University College of Veterinary Medicine , East Lansing, MI , USA
| | - Anthony P Pease
- Department of Small Animal Clinical Sciences, Michigan State University College of Veterinary Medicine , East Lansing, MI , USA
| | - Elizabeth A Ballegeer
- Department of Small Animal Clinical Sciences, Michigan State University College of Veterinary Medicine , East Lansing, MI , USA
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Ma AY, Vitorino RC, Hojjat SP, Mulholland AD, Zhang L, Lee L, Carroll TJ, Cantrell CG, Figley CR, Aviv RI. The relationship between white matter fiber damage and gray matter perfusion in large-scale functionally defined networks in multiple sclerosis. Mult Scler 2017; 23:1884-1892. [PMID: 28178867 DOI: 10.1177/1352458517691149] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Recent studies utilizing perfusion as a surrogate of cortical integrity show promise for overall cognition, but the association between white matter (WM) damage and gray matter (GM) integrity in specific functional networks is not previously studied. OBJECTIVE To investigate the relationship between WM fiber integrity and GM node perfusion within six functional networks of relapsing-remitting multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS) patients. METHODS Magnetic resonance imaging (MRI) and neurocognitive testing were performed on 19 healthy controls (HC), 39 RRMS, and 45 SPMS patients. WM damage extent and severity were quantified with T2-hyper/T1-hypointense (T2h/T1h) lesion volume and degree of perfusion reduction in lesional and normal-appearing white matter (NAWM), respectively. A two-step linear regression corrected for confounders was employed. RESULTS Cognitive impairment was present in 20/39 (51%) RRMS and 25/45 (53%) SPMS patients. GM node perfusion was associated with WM fiber damage severity (WM hypoperfusion) within each network-including both NAWM ( R2 = 0.67-0.89, p < 0.0001) and T2h ( R2 = 0.39-0.62, p < 0.0001) WM regions-but was not significantly associated ( p > 0.01) with WM fiber damage extent (i.e. T2h/T1h lesion volumes). CONCLUSION Overall, GM node perfusion was associated with severity rather than extent of WM network damage, supporting a primary etiology of GM hypoperfusion.
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Affiliation(s)
- Ashley Y Ma
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Rita C Vitorino
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Seyed-Parsa Hojjat
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Alannah D Mulholland
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Liying Zhang
- Department of Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Liesly Lee
- Department of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Timothy J Carroll
- Department of Biomedical Engineering and Radiology, Northwestern University, Chicago, IL, USA
| | - Charles G Cantrell
- Department of Biomedical Engineering, Northwestern University, Chicago, IL, USA
| | - Chase R Figley
- Department of Radiology, University of Manitoba, Winnipeg, MB, Canada/Neuroscience Research Program and Division of Diagnostic Imaging, Kleysen Institute for Advanced Medicine, Health Sciences Centre, Winnipeg, MB, Canada
| | - Richard I Aviv
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, ON, Canada/Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
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Dickerson E, Srinivasan A. Advanced Imaging Techniques of the Skull Base. Radiol Clin North Am 2017; 55:189-200. [DOI: 10.1016/j.rcl.2016.08.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Leu K, Boxerman JL, Ellingson BM. Effects of MRI Protocol Parameters, Preload Injection Dose, Fractionation Strategies, and Leakage Correction Algorithms on the Fidelity of Dynamic-Susceptibility Contrast MRI Estimates of Relative Cerebral Blood Volume in Gliomas. AJNR Am J Neuroradiol 2016; 38:478-484. [PMID: 28034995 DOI: 10.3174/ajnr.a5027] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Accepted: 10/04/2016] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE DSC perfusion MR imaging assumes that the contrast agent remains intravascular; thus, disruptions in the blood-brain barrier common in brain tumors can lead to errors in the estimation of relative CBV. Acquisition strategies, including the choice of flip angle, TE, TR, and preload dose and incubation time, along with post hoc leakage-correction algorithms, have been proposed as means for combating these leakage effects. In the current study, we used DSC-MR imaging simulations to examine the influence of these various acquisition parameters and leakage-correction strategies on the faithful estimation of CBV. MATERIALS AND METHODS DSC-MR imaging simulations were performed in 250 tumors with perfusion characteristics randomly generated from the distributions of real tumor population data, and comparison of leakage-corrected CBV was performed with a theoretic curve with no permeability. Optimal strategies were determined by protocol with the lowest mean error. RESULTS The following acquisition strategies (flip angle/TE/TR and contrast dose allocation for preload and bolus) produced high CBV fidelity, as measured by the percentage difference from a hypothetic tumor with no leakage: 1) 35°/35 ms/1.5 seconds with no preload and full dose for DSC-MR imaging, 2) 35°/25 ms/1.5 seconds with ¼ dose preload and ¾ dose bolus, 3) 60°/35 ms/2.0 seconds with ½ dose preload and ½ dose bolus, and 4) 60°/35 ms/1.0 second with 1 dose preload and 1 dose bolus. CONCLUSIONS Results suggest that a variety of strategies can yield similarly high fidelity in CBV estimation, namely those that balance T1- and T2*-relaxation effects due to contrast agent extravasation.
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Affiliation(s)
- K Leu
- From the University of California, Los Angeles Brain Tumor Imaging Laboratory (K.A.B.L., B.M.E.), Center for Computer Vision and Imaging Biomarkers.,Department of Bioengineering (K.A.B.L., B.M.E.), Henry Samueli School of Engineering and Applied Science.,Departments of Radiological Sciences (A.B.L., B.M.E.)
| | - J L Boxerman
- Department of Diagnostic Imaging (J.L.B.), Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island
| | - B M Ellingson
- From the University of California, Los Angeles Brain Tumor Imaging Laboratory (K.A.B.L., B.M.E.), Center for Computer Vision and Imaging Biomarkers .,Department of Bioengineering (K.A.B.L., B.M.E.), Henry Samueli School of Engineering and Applied Science.,University of California, Los Angeles Neuro-Oncology Program (B.M.E.), University of California, Los Angeles, Los Angeles, California.,Departments of Radiological Sciences (A.B.L., B.M.E.).,Biomedical Physics (B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Dynamic Susceptibility Contrast MR Imaging in Glioma: Review of Current Clinical Practice. Magn Reson Imaging Clin N Am 2016; 24:649-670. [PMID: 27742108 DOI: 10.1016/j.mric.2016.06.005] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Dynamic susceptibility contrast (DSC) MR imaging, a perfusion-weighted MR imaging technique typically used in neuro-oncologic applications for estimating the relative cerebral blood volume within brain tumors, has demonstrated much potential for determining prognosis, predicting therapeutic response, and assessing early treatment response of gliomas. This review highlights recent developments using DSC-MR imaging and emphasizes the need for technical standardization and validation in prospective studies in order for this technique to become incorporated into standard-of-care imaging for patients with brain tumors.
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Abstract
The child presenting with possible sentinel transient ischemic event or stroke requires prompt diagnosis so that strategies to limit injury and prevent recurrent stroke can be instituted. Cerebral arteriopathy is a potent risk factor for arterial ischemic stroke in childhood. Though acute imaging study in the setting of possible stroke is often a head computed tomography, when possible magnetic resonance imaging (MRI) is recommended as the first-line study as confirmation and imaging evaluation of ischemic stroke will typically require MRI. The MRI scanning approach should include diffusion-weighted imaging (DWI) early in the sequence order, since normal DWI excludes acute infarct with rare exception. In most cases, arterial imaging with time-of-flight (TOF) magnetic resonance angiography (MRA) is warranted. Dedicated MRA may not be possible in the acute setting, but should be pursued as promptly as possible, particularly in the child with findings and history suggestive of arteriopathy, given the high risk of recurrent stroke in these children. MRA can overestimate the degree of arterial compromise due to complex/turbulent flow, and be insensitive to subtle vessel irregularity due to resolution and complex flow. In cases with high imaging suspicion for dissection despite normal MRA findings, catheter angiogram is indicated. A thoughtful, stepwise approach to arterial neuroimaging is critical to optimize diagnosis, treatment, and primary and secondary prevention of childhood stroke.
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Affiliation(s)
| | - Dennis Shaw
- Department of Radiology, Seattle Children's Hospital, Seattle, WA, USA
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Nadav G, Liberman G, Artzi M, Kiryati N, Bashat DB. Optimization of two-compartment-exchange-model analysis for dynamic contrast-enhanced mri incorporating bolus arrival time. J Magn Reson Imaging 2016; 45:237-249. [PMID: 27383624 DOI: 10.1002/jmri.25362] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 06/10/2016] [Indexed: 01/19/2023] Open
Abstract
PURPOSE To optimize the analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) under the two-compartment-exchange-model (2CXM) and to incorporate voxelwise bolus-arrival-time (BAT). MATERIALS AND METHODS The accuracy of the pharmacokinetic (PK) parameters, extracted from 3T DCE-MRI using 2CXM, was tested under several conditions: eight algorithms for data estimation; correction for BAT; using model selection; different temporal resolution and scan duration. Comparisons were performed on simulated data. The best algorithm was applied to seven patients with brain tumors or following stroke. The extracted perfusion parameters were compared to those of dynamic susceptibility contrast MRI (DSC-MRI). RESULTS ACoPeD (AIF-corrected-perfusion-DCE-MRI), an analysis using a 2nd derivative regularized-spline and incorporating BAT, achieved the most accurate estimation in simulated data, mean-relative-error: Fp , F, vp , ve : 24.8%, 41.7%, 26.4%, 27.2% vs. 76.5%, 190.8%, 78.8%, 82.39% of the direct four parameters estimation (one-sided two-sample t-test, P < 0.001). Correction for BAT increased the estimation accuracy of the PK parameters by more than 30% and provided a supertemporal resolution estimation of the BAT (higher than the acquired resolution, mean-absolute-error 0.2 sec). High temporal resolution (∼2 sec) is required to avoid biased estimation of PK parameters, and long scan duration (∼20 min) is important for reliable permeability but not for perfusion estimations, mean-error-reduction: E: ∼12%, ve : ∼6%. Using ACoPeD, PK values from normal-appearing white matter, gray matter, and lesion were extracted from patients. Preliminary results showed significant voxelwise correlations to DSC-MRI, between flow values in a patient following stroke (r = 0.49, P < 0.001), and blood volume in a patient with a brain tumor (r = 0.62, P < 0.001). CONCLUSION This study proposes an optimized analysis method, ACoPeD, for tissue perfusion and permeability estimation using DCE-MRI, to be used in clinical settings. LEVEL OF EVIDENCE 1 J. Magn. Reson. Imaging 2017;45:237-249.
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Affiliation(s)
- Guy Nadav
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Gilad Liberman
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Department of Chemical Physics, Weizmann Institute, Rehovot, Israel
| | - Moran Artzi
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Nahum Kiryati
- School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel
| | - Dafna Ben Bashat
- Functional Brain Center, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
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Multicenter Survey of Current Practice Patterns in Perfusion MRI in Neuroradiology: Why, When, and How Is It Performed? AJR Am J Roentgenol 2016; 207:406-10. [PMID: 27187209 DOI: 10.2214/ajr.15.15740] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Perfusion MRI is an advanced imaging technique with a number of potential neuroradiologic applications. However, there are few guidelines about the application of perfusion MRI in clinical practice. The purpose of this study was to assess when and how perfusion MRI is performed across national and international practices. MATERIALS AND METHODS An international survey was conducted through the American Society of Neuroradiology e-mail list. The survey included questions relating to demographics, whether perfusion MRI was offered, technical details, reporting, and reimbursement. RESULTS Most (81.0%) of the practices responding offered perfusion MRI; this proportion increases to 94.3% among academic and 95.3% among large practices. Intraaxial tumor, stroke, and arterial stenosis are the most frequent reasons for offering perfusion imaging. Most practices offer perfusion imaging on the basis of the judgment of the referring physician or person writing the protocol for the study, or they offer it for all intraaxial tumors. The most frequent method is dynamic susceptibility contrast-enhanced MRI (86.8%) followed by dynamic contrast-enhanced MRI (40.7%) and arterial spin-labeling MRI (34.8%). A minority (22.7%) of practices seek reimbursement for perfusion MRI. Most of the practices provide quantitative findings in radiology reports, most frequently cerebral blood volume (92.7%), cerebral blood (62.9%), and mean transit time (51.0%). CONCLUSION Despite the paucity of high-quality trials and guidelines for specific clinical applications, perfusion MRI is widely used by both academic and private practices. A minority of practices attempt to obtain reimbursement. This widespread adoption of perfusion imaging beyond its apparent financial footprint suggests that practicing radiologists and referring clinicians find value in the technique and underscores the need for more high-quality trials to solidify understanding of the role of perfusion MRI.
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Fink AZ, Mogil LB, Lipton ML. Advanced neuroimaging in the clinic: critical appraisal of the evidence base. Br J Radiol 2016; 89:20150753. [PMID: 27074623 DOI: 10.1259/bjr.20150753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The shortage of high-quality systematic reviews in the field of radiology limits evidence-based integration of imaging methods into clinical practice and may perpetuate misconceptions regarding the efficacy and appropriateness of imaging techniques for specific applications. Diffusion tensor imaging for patients with mild traumatic brain injury (DTI-mTBI) and dynamic susceptibility contrast MRI for patients with glioma (DSC-glioma) are applications of quantitative neuroimaging, which similarly detect manifestations of disease where conventional neuroimaging techniques cannot. We performed a critical appraisal of reviews, based on the current evidence-based medicine methodology, addressing the ability of DTI-mTBI and DSC-glioma to (a) detect brain abnormalities and/or (b) predict clinical outcomes. 23 reviews of DTI-mTBI and 26 reviews of DSC-glioma met criteria for inclusion. All reviews addressed detection of brain abnormalities, whereas 12 DTI-mTBI reviews and 22 DSC-glioma reviews addressed prediction of a clinical outcome. All reviews were assessed using a critical appraisal worksheet consisting of 19 yes/no questions. Reviews were graded according to the total number of positive responses and the 2011 Oxford Centre for evidence-based medicine levels of evidence criteria. Reviews addressing DTI-mTBI detection had moderate quality, while those addressing DSC-glioma were of low quality. Reviews addressing prediction of outcomes for both applications were of low quality. Five DTI-mTBI reviews, but only one review of DSC-glioma met criteria for classification as a meta-analysis/systematic/quantitative review.
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Affiliation(s)
- Adam Z Fink
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Lisa B Mogil
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA.,2 SUNY Buffalo School of Medicine and Biomedical Sciences, Buffalo, NY, USA
| | - Michael L Lipton
- 1 The Gruss Magnetic Resonance Research Center, Albert Einstein College of Medicine, Bronx, NY, USA.,3 Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.,4 The Dominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.,5 Department of Radiology, Montefiore Medical Center, Bronx, NY, USA.,6 Departments of Radiology, Albert Einstein College of Medicine, Bronx, NY, USA
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Leu K, Boxerman JL, Lai A, Nghiemphu PL, Pope WB, Cloughesy TF, Ellingson BM. Bidirectional Contrast agent leakage correction of dynamic susceptibility contrast (DSC)-MRI improves cerebral blood volume estimation and survival prediction in recurrent glioblastoma treated with bevacizumab. J Magn Reson Imaging 2016; 44:1229-1237. [PMID: 26971534 DOI: 10.1002/jmri.25227] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 02/24/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To evaluate a leakage correction algorithm for T1 and T2* artifacts arising from contrast agent extravasation in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) that accounts for bidirectional contrast agent flux and compare relative cerebral blood volume (CBV) estimates and overall survival (OS) stratification from this model to those made with the unidirectional and uncorrected models in patients with recurrent glioblastoma (GBM). MATERIALS AND METHODS We determined median rCBV within contrast-enhancing tumor before and after bevacizumab treatment in patients (75 scans on 1.5T, 19 scans on 3.0T) with recurrent GBM without leakage correction and with application of the unidirectional and bidirectional leakage correction algorithms to determine whether rCBV stratifies OS. RESULTS Decreased post-bevacizumab rCBV from baseline using the bidirectional leakage correction algorithm significantly correlated with longer OS (Cox, P = 0.01), whereas rCBV change using the unidirectional model (P = 0.43) or the uncorrected rCBV values (P = 0.28) did not. Estimates of rCBV computed with the two leakage correction algorithms differed on average by 14.9%. CONCLUSION Accounting for T1 and T2* leakage contamination in DSC-MRI using a two-compartment, bidirectional rather than unidirectional exchange model might improve post-bevacizumab survival stratification in patients with recurrent GBM. J. Magn. Reson. Imaging 2016;44:1229-1237.
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Affiliation(s)
- Kevin Leu
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California, USA.,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California, USA
| | - Jerrold L Boxerman
- Department of Diagnostic Imaging, Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Albert Lai
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, California, USA.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Phioanh L Nghiemphu
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, California, USA.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, California, USA.,Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California, USA. .,Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA. .,Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California, USA. .,UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, California, USA. .,Department of Biomedical Physics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
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Abstract
This review covers important topics relating to the imaging evaluation of glioblastoma multiforme after therapy. An overview of the Macdonald and Response Assessment in Neuro-Oncology criteria as well as important questions and limitations regarding their use are provided. Pseudoprogression and pseudoresponse as well as the use of advanced magnetic resonance imaging techniques such as perfusion, diffusion, and spectroscopy in the evaluation of the posttherapeutic brain are also reviewed.
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Anwander H, Cron GO, Rakhra K, Beaule PE. Perfusion MRI in hips with metal-on-metal and metal-on-polyethylene total hip arthroplasty: A pilot study. Bone Joint Res 2016; 5:73-9. [PMID: 26935768 PMCID: PMC4852810 DOI: 10.1302/2046-3758.53.2000572] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Objectives Hips with metal-on-metal total hip arthroplasty (MoM THA) have a high rate of adverse local tissue reactions (ALTR), often associated with hypersensitivity reactions. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) measures tissue perfusion with the parameter Ktrans (volume transfer constant of contrast agent). Our purpose was 1) to evaluate the feasibility of DCE-MRI in patients with THA and 2) to compare DCE-MRI in patients with MoM bearings with metal-on-polyethylene (MoP) bearings, hypothesising that the perfusion index Ktrans in hips with MoM THA is higher than in hips with MoP THA. Methods In this pilot study, 16 patients with primary THA were recruited (eight MoM, eight MoP). DCE-MRI of the hip was performed at 1.5 Tesla (T). For each patient, Ktrans was computed voxel-by-voxel in all tissue lateral to the bladder. The mean Ktrans for all voxels was then calculated. These values were compared with respect to implant type and gender, and further correlated with clinical parameters. Results There was no significant difference between the two bearing types with both genders combined. However, dividing patients by THA bearing and gender, women with MoM bearings had the highest Ktrans values, exceeding those of women with MoP bearings (0.067 min−1versus 0.053 min−1; p-value < 0.05) and men with MoM bearings (0.067 min−1versus 0.034 min−1; p-value < 0.001). Considering only the men, patients with MoM bearings had lower Ktrans than those with MoP bearings (0.034 min−1versus 0.046 min−1; p < 0.05). Conclusion DCE-MRI is feasible to perform in tissues surrounding THA. Females with MoM THA show high Ktrans values in DCE-MRI, suggesting altered tissue perfusion kinematics which may reflect relatively greater inflammation. Cite this article: Dr P. E. Beaule. Perfusion MRI in hips with metal-on-metal and metal-on-polyethylene total hip arthroplasty: A pilot stud. Bone Joint Res 2016;5:73–79. DOI: 10.1302/2046-3758.53.2000572.
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Affiliation(s)
- H Anwander
- Universität für Orthopädische Chirurgie und Traumatologie, Freiburgstrasse 4, 3010 Bern, Switzerland
| | - G O Cron
- The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON, Canada
| | - K Rakhra
- The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON, Canada
| | - P E Beaule
- The Ottawa Hospital, University of Ottawa, 501 Smyth Road, Ottawa, ON, Canada
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50
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Lohrke J, Frenzel T, Endrikat J, Alves FC, Grist TM, Law M, Lee JM, Leiner T, Li KC, Nikolaou K, Prince MR, Schild HH, Weinreb JC, Yoshikawa K, Pietsch H. 25 Years of Contrast-Enhanced MRI: Developments, Current Challenges and Future Perspectives. Adv Ther 2016; 33:1-28. [PMID: 26809251 PMCID: PMC4735235 DOI: 10.1007/s12325-015-0275-4] [Citation(s) in RCA: 220] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Indexed: 12/17/2022]
Abstract
UNLABELLED In 1988, the first contrast agent specifically designed for magnetic resonance imaging (MRI), gadopentetate dimeglumine (Magnevist(®)), became available for clinical use. Since then, a plethora of studies have investigated the potential of MRI contrast agents for diagnostic imaging across the body, including the central nervous system, heart and circulation, breast, lungs, the gastrointestinal, genitourinary, musculoskeletal and lymphatic systems, and even the skin. Today, after 25 years of contrast-enhanced (CE-) MRI in clinical practice, the utility of this diagnostic imaging modality has expanded beyond initial expectations to become an essential tool for disease diagnosis and management worldwide. CE-MRI continues to evolve, with new techniques, advanced technologies, and novel contrast agents bringing exciting opportunities for more sensitive, targeted imaging and improved patient management, along with associated clinical challenges. This review aims to provide an overview on the history of MRI and contrast media development, to highlight certain key advances in the clinical development of CE-MRI, to outline current technical trends and clinical challenges, and to suggest some important future perspectives. FUNDING Bayer HealthCare.
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Affiliation(s)
- Jessica Lohrke
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany
| | - Thomas Frenzel
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany
| | - Jan Endrikat
- Global Medical Affairs Radiology, Bayer HealthCare, Berlin, Germany
- Saarland University Hospital, Homburg, Germany
| | | | - Thomas M Grist
- Radiology, Medical Physics and Biomedical Engineering, University of Wisconsin, Madison, WI, USA
| | - Meng Law
- Radiology and Neurological Surgery, University of South California, Keck School of Medicine, USC University Hospital, Los Angeles, CA, USA
| | - Jeong Min Lee
- College of Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Tim Leiner
- Radiology, Utrecht University Medical Center, Utrecht, The Netherlands
| | - Kun-Cheng Li
- Radiology, Xuan Wu Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Konstantin Nikolaou
- Radiology, Ludwig-Maximilians University, University Hospitals, Munich, Germany
| | - Martin R Prince
- Radiology, Weill Cornell Medical College, New York, NY, USA
- Columbia College of Physicians and Surgeons, New York, NY, USA
| | | | | | - Kohki Yoshikawa
- Graduate Division of Medical Health Sciences, Graduate School of Komazawa University, Tokyo, Japan
| | - Hubertus Pietsch
- MR and CT Contrast Media Research, Bayer HealthCare, Berlin, Germany.
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