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Woods JG, Achten E, Asllani I, Bolar DS, Dai W, Detre JA, Fan AP, Fernández-Seara M, Golay X, Günther M, Guo J, Hernandez-Garcia L, Ho ML, Juttukonda MR, Lu H, MacIntosh BJ, Madhuranthakam AJ, Mutsaerts HJ, Okell TW, Parkes LM, Pinter N, Pinto J, Qin Q, Smits M, Suzuki Y, Thomas DL, Van Osch MJ, Wang DJJ, Warnert EA, Zaharchuk G, Zelaya F, Zhao M, Chappell MA. Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications. Magn Reson Med 2024; 92:469-495. [PMID: 38594906 PMCID: PMC11142882 DOI: 10.1002/mrm.30091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 02/09/2024] [Accepted: 03/07/2024] [Indexed: 04/11/2024]
Abstract
Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision-making. This guidelines article provides a comprehensive overview of quantitative perfusion imaging of the brain using multi-timepoint arterial spin labeling (ASL), along with recommendations for its acquisition and quantification. A major benefit of acquiring ASL data with multiple label durations and/or post-labeling delays (PLDs) is being able to account for the effect of variable arterial transit time (ATT) on quantitative perfusion values and additionally visualize the spatial pattern of ATT itself, providing valuable clinical insights. Although multi-timepoint data can be acquired in the same scan time as single-PLD data with comparable perfusion measurement precision, its acquisition and postprocessing presents challenges beyond single-PLD ASL, impeding widespread adoption. Building upon the 2015 ASL consensus article, this work highlights the protocol distinctions specific to multi-timepoint ASL and provides robust recommendations for acquiring high-quality data. Additionally, we propose an extended quantification model based on the 2015 consensus model and discuss relevant postprocessing options to enhance the analysis of multi-timepoint ASL data. Furthermore, we review the potential clinical applications where multi-timepoint ASL is expected to offer significant benefits. This article is part of a series published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group, aiming to guide and inspire the advancement and utilization of ASL beyond the scope of the 2015 consensus article.
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Affiliation(s)
- Joseph G. Woods
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Eric Achten
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Iris Asllani
- Department of Neuroscience, University of Sussex, UK and Department of Biomedical Engineering, Rochester Institute of Technology, USA
| | - Divya S. Bolar
- Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Weiying Dai
- Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA, 13902
| | - John A. Detre
- Department of Neurology, University of Pennsylvania, 3 Dulles Building, 3400 Spruce Street, Philadelphia, PA 19104 USA
| | - Audrey P. Fan
- Department of Biomedical Engineering, Department of Neurology, University of California Davis, Davis, CA, USA
| | - Maria Fernández-Seara
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain; IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
| | - Xavier Golay
- UCL Queen Square Institute of Neurology, University College London, London, UK; Gold Standard Phantoms, UK
| | - Matthias Günther
- Imaging Physics, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
- Departments of Physics and Electrical Engineering, University of Bremen, Bremen, Germany
| | - Jia Guo
- Department of Bioengineering, University of California Riverside, Riverside, CA, USA
| | | | - Mai-Lan Ho
- Department of Radiology, University of Missouri, Columbia, MO, USA. ORCID: 0000-0002-9455-1350
| | - Meher R. Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Bradley J. MacIntosh
- Hurvitz Brain Sciences Program, Centre for Brain Resilience & Recovery, Sunnybrook Research Institute, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
- Computational Radiology & Artificial Intelligence unit, Oslo University Hospital, Oslo, Norway
| | - Ananth J. Madhuranthakam
- Department of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA
| | - Henk-Jan Mutsaerts
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Thomas W. Okell
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Laura M. Parkes
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, UK
| | - Nandor Pinter
- Dent Neurologic Institute, Buffalo, New York, USA; University at Buffalo Neurosurgery, Buffalo, New York, USA
| | - Joana Pinto
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Qin Qin
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Marion Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Medical Delta, Delft, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, NL
| | - Yuriko Suzuki
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - David L. Thomas
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Matthias J.P. Van Osch
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Danny JJ Wang
- Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, USA
| | - Esther A.H. Warnert
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, NL
| | - Greg Zaharchuk
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Moss Zhao
- Department of Radiology, Stanford University, Stanford, CA, USA
- Maternal & Child Health Research Institute, Stanford University, Stanford, CA, USA
| | - Michael A. Chappell
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
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Troudi A, Tensaouti F, Cabarrou B, Arribarat G, Pollidoro L, Péran P, Sevely A, Roques M, Chaix Y, Bertozzi AI, Gambart M, Ducassou A, Baudou E, Laprie A. A Prospective Study of Arterial Spin Labelling in Paediatric Posterior Fossa Tumour Survivors: A Correlation with Neurocognitive Impairment. Clin Oncol (R Coll Radiol) 2024; 36:56-64. [PMID: 37805352 DOI: 10.1016/j.clon.2023.09.015] [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] [Received: 07/13/2023] [Accepted: 09/25/2023] [Indexed: 10/09/2023]
Abstract
AIMS Posterior fossa tumours (PFTs), which account for two-thirds of paediatric brain tumours, are successfully treated in about 70% of patients, but most survivors experience long-term cognitive impairment. We evaluated arterial spin labelling (ASL), a common, non-invasive magnetic resonance imaging (MRI) technique, as a biomarker of cognitive impairment in a paediatric PFT survivor population. MATERIALS AND METHODS Sixty participants were prospectively analysed. PFT survivors were at least 5 years post-treatment and had been treated as appropriate for their age and type of tumour. Group 1 had received radiotherapy and Group 2 had not. Group 3 were healthy controls matched to Group 1 for age, sex and handedness. All participants underwent cognitive assessment and multimodal MRI, including an ASL perfusion sequence. We used semi-quantitative ASL methods to assess differences in mean perfusion in the thalamus, caudate, putamen and hippocampus. RESULTS Statistically, no significant associations between cognitive data and radiation doses were identified. Compared with healthy controls, Group 1 patients had significantly lower overall mean perfusion values (20-30% lower, depending on the cerebral structure) and Group 2 had slightly lower mean perfusion values (5-10% lower). Perfusion values did not correlate with total prescribed irradiation doses nor with doses received by different cerebral structures. Episodic and semantic memory test scores were significantly lower in Group 1 and correlated with lower mean absolute perfusion values in the hippocampus (P < 0.04). CONCLUSIONS These preliminary results indicate that radiotherapy affects the perfusion of specific cerebral structures and identify perfusion as a potential biomarker of hippocampus-dependent memory deficit.
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Affiliation(s)
- A Troudi
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - F Tensaouti
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France.
| | - B Cabarrou
- Biostatistics & Health Data Science Unit, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse - Oncopôle, Toulouse, France
| | - G Arribarat
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - L Pollidoro
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiology Department, Toulouse University Hospital, Toulouse, France
| | - P Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - A Sevely
- Radiology Department, Toulouse University Hospital, Toulouse, France
| | - M Roques
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiology Department, Toulouse University Hospital, Toulouse, France
| | - Y Chaix
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Pediatric Neurology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A-I Bertozzi
- Pediatric Oncology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - M Gambart
- Pediatric Oncology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A Ducassou
- Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - E Baudou
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Pediatric Neurology Department, Children's Hospital, Toulouse University Hospital, Toulouse, France
| | - A Laprie
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Radiation Oncology Department, Institut Claudius Regaud- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
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3
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Campion A, Iv M. Brain Tumor Imaging: Review of Conventional and Advanced Techniques. Semin Neurol 2023; 43:867-888. [PMID: 37963581 DOI: 10.1055/s-0043-1776765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Approaches to central nervous system (CNS) tumor classification and evaluation have undergone multiple iterations over the past few decades, in large part due to our growing understanding of the influence of genetics on tumor behavior and our refinement of brain tumor imaging techniques. Computed tomography and magnetic resonance imaging (MRI) both play a critical role in the diagnosis and monitoring of brain tumors, although MRI has become especially important due to its superior soft tissue resolution. The purpose of this article will be to briefly review the fundamentals of conventional and advanced techniques used in brain tumor imaging. We will also highlight the applications of these imaging tools in the context of commonly encountered tumors based on the most recently updated 2021 World Health Organization (WHO) classification of CNS tumors framework.
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Affiliation(s)
- Andrew Campion
- Department of Radiology (Neuroradiology), Stanford University, Stanford, California
| | - Michael Iv
- Department of Radiology (Neuroradiology), Stanford University, Stanford, California
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Wamelink IJHG, Hempel HL, van de Giessen E, Vries MHM, De Witt Hamer P, Barkhof F, Keil VC. The patients' experience of neuroimaging of primary brain tumors: a cross-sectional survey study. J Neurooncol 2023; 162:307-315. [PMID: 36977844 PMCID: PMC10167184 DOI: 10.1007/s11060-023-04290-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023]
Abstract
PURPOSE To gain insight into how patients with primary brain tumors experience MRI, follow-up protocols, and gadolinium-based contrast agent (GBCA) use. METHODS Primary brain tumor patients answered a survey after their MRI exam. Questions were analyzed to determine trends in patients' experience regarding the scan itself, follow-up frequency, and the use of GBCAs. Subgroup analysis was performed on sex, lesion grade, age, and the number of scans. Subgroup comparison was made using the Pearson chi-square test and the Mann-Whitney U-test for categorical and ordinal questions, respectively. RESULTS Of the 100 patients, 93 had a histopathologically confirmed diagnosis, and seven were considered to have a slow-growing low-grade tumor after multidisciplinary assessment and follow-up. 61/100 patients were male, with a mean age ± standard deviation of 44 ± 14 years and 46 ± 13 years for the females. Fifty-nine patients had low-grade tumors. Patients consistently underestimated the number of their previous scans. 92% of primary brain tumor patients did not experience the MRI as bothering and 78% would not change the number of follow-up MRIs. 63% of the patients would prefer GBCA-free MRI scans if diagnostically equally accurate. Women found the MRI and receiving intravenous cannulas significantly more uncomfortable than men (p = 0.003). Age, diagnosis, and the number of previous scans had no relevant impact on the patient experience. CONCLUSION Patients with primary brain tumors experienced current neuro-oncological MRI practice as positive. Especially women would, however, prefer GBCA-free imaging if diagnostically equally accurate. Patient knowledge of GBCAs was limited, indicating improvable patient information.
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Affiliation(s)
- Ivar J H G Wamelink
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands.
| | - Hugo L Hempel
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Elsmarieke van de Giessen
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Mark H M Vries
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Philip De Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Vera C Keil
- Radiology & Nuclear Medicine Department, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Brain Tumor Center Amsterdam, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, De Boelelaan 1117, Amsterdam, The Netherlands
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5
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Kitajima M, Uetani H. Arterial Spin Labeling for Pediatric Central Nervous System Diseases: Techniques and Clinical Applications. Magn Reson Med Sci 2023; 22:27-43. [PMID: 35321984 PMCID: PMC9849418 DOI: 10.2463/mrms.rev.2021-0118] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/12/2022] [Indexed: 01/28/2023] Open
Abstract
Dynamic susceptibility contrast (DSC) and arterial spin labeling (ASL) are techniques used to evaluate brain perfusion using MRI. DSC requires dynamic image acquisition with a rapid administration of gadolinium-based contrast agent. In contrast, ASL obtains brain perfusion information using magnetically labeled blood water as an endogenous tracer. For the evaluation of brain perfusion in pediatric neurological diseases, ASL has a significant advantage compared to DSC, CT, and single-photon emission CT/positron emission tomography because of the lack of radiation exposure and contrast agent administration. However, in ASL, optimization of several parameters, including the type of labeling, image acquisition, background suppression, and postlabeling delay, is required, because they have a significant effect on the quantification of cerebral blood flow (CBF).In this article, we first review recent technical developments of ASL and age-dependent physiological characteristics in pediatric brain perfusion. We then review the clinical implementation of ASL in pediatric neurological diseases, including vascular diseases, brain tumors, acute encephalopathy with biphasic seizure and late reduced diffusion (AESD), and migraine. In moyamoya disease, ASL can be used for brain perfusion and vessel assessment in pre- and post-treatment. In arteriovenous malformations, ASL is sensitive to detect small degrees of shunt. Furthermore, in vascular diseases, the implementation of ASL-based time-resolved MR angiography is described. In neoplasms, ASL-derived CBF has a high diagnostic accuracy for differentiation between low- and high-grade pediatric brain tumors. In AESD and migraine, ASL may allow for accurate early diagnosis and provide pathophysiological information.
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Affiliation(s)
- Mika Kitajima
- Department of Medical Imaging Sciences, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan
| | - Hiroyuki Uetani
- Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Kumamoto, Japan
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6
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Troudi A, Tensaouti F, Baudou E, Péran P, Laprie A. Arterial Spin Labeling Perfusion in Pediatric Brain Tumors: A Review of Techniques, Quality Control, and Quantification. Cancers (Basel) 2022; 14:4734. [PMID: 36230655 PMCID: PMC9564035 DOI: 10.3390/cancers14194734] [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: 09/12/2022] [Revised: 09/24/2022] [Accepted: 09/24/2022] [Indexed: 11/16/2022] Open
Abstract
Arterial spin labeling (ASL) is a magnetic resonance imaging (MRI) technique for measuring cerebral blood flow (CBF). This noninvasive technique has added a new dimension to the study of several pediatric tumors before, during, and after treatment, be it surgery, radiotherapy, or chemotherapy. However, ASL has three drawbacks, namely, a low signal-to-noise-ratio, a minimum acquisition time of 3 min, and limited spatial summarize current resolution. This technique requires quality control before ASL-CBF maps can be extracted and before any clinical investigations can be conducted. In this review, we describe ASL perfusion principles and techniques, summarize the most recent advances in CBF quantification, report technical advances in ASL (resting-state fMRI ASL, BOLD fMRI coupled with ASL), set out guidelines for ASL quality control, and describe studies related to ASL-CBF perfusion and qualitative and semi-quantitative ASL weighted-map quantification, in healthy children and those with pediatric brain tumors.
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Affiliation(s)
- Abir Troudi
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
| | - Fatima Tensaouti
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Radiation Oncology Department, Claudius Regaud Institute, Toulouse University Cancer Institute-Oncopole, 31300 Toulouse, France
| | - Eloise Baudou
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Pediatric Neurology Department, Children’s Hospital, Toulouse University Hospital, 31300 Toulouse, France
| | - Patrice Péran
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
| | - Anne Laprie
- Toulouse Neuro Imaging Center (ToNIC), INSERM-University of Toulouse Paul Sebatier, 31300 Toulouse, France
- Radiation Oncology Department, Claudius Regaud Institute, Toulouse University Cancer Institute-Oncopole, 31300 Toulouse, France
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7
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Golay X, Ho ML. Multidelay ASL of the pediatric brain. Br J Radiol 2022; 95:20220034. [PMID: 35451851 PMCID: PMC10996417 DOI: 10.1259/bjr.20220034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 03/22/2022] [Indexed: 11/05/2022] Open
Abstract
Arterial spin labeling (ASL) is a powerful noncontrast MRI technique for evaluation of cerebral blood flow (CBF). A key parameter in single-delay ASL is the choice of postlabel delay (PLD), which refers to the timing between the labeling of arterial free water and measurement of flow into the brain. Multidelay ASL (MDASL) utilizes several PLDs to improve the accuracy of CBF calculations using arterial transit time (ATT) correction. This approach is particularly helpful in situations where ATT is unknown, including young subjects and slow-flow conditions. In this article, we discuss the technical considerations for MDASL, including labeling techniques, quantitative metrics, and technical artefacts. We then provide a practical summary of key clinical applications with real-life imaging examples in the pediatric brain, including stroke, vasculopathy, hypoxic-ischemic injury, epilepsy, migraine, tumor, infection, and metabolic disease.
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Affiliation(s)
- Xavier Golay
- MR Neurophysics and Translational Neuroscience, UCL Queen
Square Institute of Neurology London, London,
England, UK
| | - Mai-Lan Ho
- Radiology, Nationwide Children’s Hospital and The Ohio
State University, Columbus, OH,
USA
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8
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Testud B, Brun G, Varoquaux A, Hak JF, Appay R, Le Troter A, Girard N, Stellmann JP. Perfusion-weighted techniques in MRI grading of pediatric cerebral tumors: efficiency of dynamic susceptibility contrast and arterial spin labeling. Neuroradiology 2021; 63:1353-1366. [PMID: 33506349 DOI: 10.1007/s00234-021-02640-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 01/06/2021] [Indexed: 01/23/2023]
Abstract
PURPOSE Dynamic susceptibility contrast (DSC) and arterial spin labeling (ASL) perfusion MRI are applied in pediatric brain tumor grading, but their value for clinical daily practice remains unclear. We explored the ability of ASL and DSC to distinguish low- and high-grade lesions, in an unselected cohort of pediatric cerebral tumors. METHODS We retrospectively compared standard perfusion outcomes including blood volume, blood flow, and time parameters from DSC and ASL at 1.5T or 3T MRI scanners of 46 treatment-naive patients by drawing ROI via consensus by two neuroradiologists on the solid portions of every tumor. The discriminant abilities of perfusion parameters were evaluated by receiver operating characteristic (ROC) over the entire cohort and depending on the tumor location and the magnetic field. RESULTS ASL and DSC parameters showed overall low to moderate performances to distinguish low- and high-grade tumors (area under the curve: between 0.548 and 0.697). Discriminant abilities were better for tumors located supratentorially (AUC between 0.777 and 0.810) than infratentorially, where none of the metrics reached significance. We observed a better differentiation between low- and high-grade cancers at 3T than at 1.5-T. For infratentorial tumors, time parameters from DSC performed better than the commonly used metrics (AUC ≥ 0.8). CONCLUSION DSC and ASL show moderate abilities to distinguish low- and high-grade brain tumors in an unselected cohort. Absolute value of K2, TMAX, tMIP, and normalized value of TMAX of the DSC appear as an alternative to conventional parameters for infratentorial tumors. Three Tesla evaluation should be favored over 1.5-Tesla.
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Affiliation(s)
- B Testud
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France.
| | - G Brun
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France
| | - A Varoquaux
- APHM La Conception, Department of Medical Imaging, Aix Marseille Université, Marseille, France
| | - J F Hak
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France
| | - R Appay
- Department of Pathology and Neuropathology, APHM La Timone, Marseille, France.,Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
| | - A Le Troter
- Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.,APHM La Timone, CEMEREM, Marseille, France
| | - N Girard
- Department of Diagnostic and Interventional Neuroradiology, APHM La Timone, 264 Saint Pierre Street, 13385, CEDEX 05, Marseille, France.,Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - J P Stellmann
- Aix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.,APHM La Timone, CEMEREM, Marseille, France
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9
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Dangouloff-Ros V, Tauziède-Espariat A, Roux CJ, Levy R, Grévent D, Brunelle F, Gareton A, Puget S, Beccaria K, Blauwblomme T, Grill J, Dufour C, Varlet P, Boddaert N. CT and Multimodal MR Imaging Features of Embryonal Tumors with Multilayered Rosettes in Children. AJNR. AMERICAN JOURNAL OF NEURORADIOLOGY 2019; 40:732-736. [PMID: 30846437 DOI: 10.3174/ajnr.a6001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 01/28/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Embryonal tumors with multilayered rosettes, C19MC-altered, are brain tumors occurring in young children, which were clearly defined in the 2016 World Health Organization classification of central nervous system neoplasms. Our objective was to describe the multimodal imaging characteristics of this new entity. MATERIALS AND METHODS We performed a retrospective monocentric review of embryonal brain tumors and looked for embryonal tumors with multilayered rosettes with confirmed C19MC alteration. We gathered morphologic imaging data, as well as DWI and PWI data (using arterial spin-labeling and DSC). RESULTS We included 16 patients with a median age of 2 years 8 months. Tumors were both supratentorial (56%, 9/16) and infratentorial (44%, 7/16). Tumors were large (median diameter, 59 mm; interquartile range, 48-71 mm), with absent (75%, 12/16) or minimal (25%, 4/16) peritumoral edema. Enhancement was absent (20%, 3/15) or weak (73%, 11/15), whereas intratumoral macrovessels were frequently seen (94%, 15/16) and calcifications were present in 67% (10/15). Diffusion was always restricted, with a minimal ADC of 520 mm2/s (interquartile range, 495-540 mm2/s). Cerebral blood flow using arterial spin-labeling was low, with a maximal CBF of 43 mL/min/100 g (interquartile range, 33-55 mL/min/100 g 5). When available (3 patients), relative cerebral blood volume using DSC was high (range, 3.5-5.8). CONCLUSIONS Embryonal tumors with multilayered rosettes, C19MC-altered, have characteristic imaging features that could help in the diagnosis of this rare tumor in young children.
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Affiliation(s)
- V Dangouloff-Ros
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.) .,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - A Tauziède-Espariat
- University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - C-J Roux
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - R Levy
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - D Grévent
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - F Brunelle
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
| | - A Gareton
- Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - S Puget
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - K Beccaria
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - T Blauwblomme
- Pediatric Neurosurgery (S.P., K.B., T.B.), Hôpital Necker Enfants Malades, Paris, France.,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France
| | - J Grill
- Department of Pediatric and Adolescent Oncology (J.G., C.D.), Gustave Roussy Institute, Villejuif, France
| | - C Dufour
- Department of Pediatric and Adolescent Oncology (J.G., C.D.), Gustave Roussy Institute, Villejuif, France
| | - P Varlet
- University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,Department of Neuropathology (A.T.-E., A.G., P.V.), Centre Hospitalier Sainte Anne, Paris, France
| | - N Boddaert
- From the Departments of Pediatric Radiology (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.).,University René Descartes (V.D.-R., A.T.-E., C.-J.R., R.L., D.G., F.B., S.P., K.B., T.B. P.V., N.B.), Pôle de Recherche et d'Enseignement Supérieur Sorbonne Paris Cité, Paris, France.,French National Institute of Health and Medical Research U1000 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France.,Institut Imagine 1163 (V.D.-R., C.-J.R., R.L., D.G., F.B., N.B.), Paris, France
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10
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Alsaedi A, Doniselli F, Jäger HR, Panovska-Griffiths J, Rojas-Garcia A, Golay X, Bisdas S. The value of arterial spin labelling in adults glioma grading: systematic review and meta-analysis. Oncotarget 2019; 10:1589-1601. [PMID: 30899427 PMCID: PMC6422184 DOI: 10.18632/oncotarget.26674] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 02/01/2019] [Indexed: 12/20/2022] Open
Abstract
This study aimed to evaluate the diagnostic performance of arterial spin labelling (ASL) in grading of adult gliomas. Eighteen studies matched the inclusion criteria and were included after systematic searches through EMBASE and MEDLINE databases. The quality of the included studies was assessed utilizing Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The quantitative values were extracted and a meta-analysis was subsequently based on a random-effect model with forest plot and joint sensitivity and specificity modelling. Hierarchical summary receiver operating characteristic (HROC) curve analysis was also conducted. The absolute tumour blood flow (TBF) values can differentiate high-grade gliomas (HGGs) from low-grade gliomas (LGGs) and grade II from grade IV tumours. However, it lacked the capacity to differentiate grade II from grade III tumours and grade III from grade IV tumours. In contrast, the relative TBF (rTBF) is effective in differentiating HGG from LGG and in glioma grading. The maximum rTBF (rTBFmax) demonstrated the best results in glioma grading. These results were also reflected in the sensitivity/specificity analysis in which the rTBFmax showed the highest discrimination performance in glioma grading. The estimated effect size for the rTBF was approximately similar between HGGs and LGGs, and grade II and grade III tumours, (-1.46 (-2.00, -0.91), p-value < 0.001), (-1.39 (-1.89, -0.89), p-value < 0.001), respectively; while it exhibited smaller effect size between grade III and grade IV (-1.05 (-1.82, -0.27)), p < 0.05). Sensitivity and specificity analysis replicate these results as well. This meta-analysis suggests that ASL is useful for glioma grading, especially when considering the rTBFmax parameter.
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Affiliation(s)
- Amirah Alsaedi
- Department of Radiology Technology, Taibah University, Medina, KSA.,Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK
| | - Fabio Doniselli
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.,PhD Course in Clinical Research, Università degli Studi di Milano, Milan, Italy
| | - Hans Rolf Jäger
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, UK
| | | | | | - Xavier Golay
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK
| | - Sotirios Bisdas
- Department of Brain Repair & Rehabilitation, Queen Square Institute of Neurology, University College London, London, UK.,Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Trust, London, UK
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11
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Novak J, Withey SB, Lateef S, MacPherson L, Pinkey B, Peet AC. A comparison of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast MRI with and without contrast agent leakage correction in paediatric brain tumours. Br J Radiol 2019; 92:20170872. [PMID: 30358415 DOI: 10.1259/bjr.20170872] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE: To investigate correlations between MRI perfusion metrics measured by dynamic susceptibility contrast and arterial spin labelling in paediatric brain tumours. METHODS: 15 paediatric patients with brain tumours were scanned prospectively using pseudo-continuous arterial spin labelling (ASL) and dynamic susceptibility contrast (DSC-) MRI with a pre-bolus to minimise contrast agent leakage. Cerebral blood flow (CBF) maps were produced using ASL. Cerebral blood volume (CBV) maps with and without contrast agent leakage correction using the Boxerman technique and the leakage parameter, K2, were produced from the DSC data. Correlations between the metrics produced were investigated. RESULTS: Histology resulted in the following diagnoses: pilocytic astrocytoma (n = 7), glioblastoma (n = 1), medulloblastoma (n = 1), rosette-forming glioneuronal tumour of fourth ventricle (n = 1), atypical choroid plexus papilloma (n = 1) and pilomyxoid astrocytoma (n = 1). Three patients had a non-invasive diagnosis of low-grade glioma. DSC CBV maps of T1-enhancing tumours were difficult to interpret without the leakage correction. CBV values obtained with and without leakage correction were significantly different (p < 0.01). A significant positive correlation was observed between ASL CBF and DSC CBV (r = 0.516, p = 0.049) which became stronger when leakage correction was applied (r = 0.728, p = 0.002). K2 values were variable across the group (mean = 0.35, range = -0.49 to 0.64). CONCLUSION: CBV values from DSC obtained with and without leakage correction were significantly different. Large increases in CBV were observed following leakage correction in highly T1-enhancing tumours. DSC and ASL perfusion metrics were found to correlate significantly in a range of paediatric brain tumours. A stronger relationship between DSC and ASL was seen when leakage correction was applied to the DSC data. Leakage correction should be applied when analysing DSC data in enhancing paediatric brain tumours. ADVANCES IN KNOWLEDGE: We have shown that leakage correction should be applied when investigating enhancing paediatric brain tumours using DSC-MRI. A stronger correlation was found between CBF derived from ASL and CBV derived from DSC when a leakage correction was employed.
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Affiliation(s)
- Jan Novak
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK
| | - Stephanie Barbara Withey
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK.,3 RRPPS, University Hospitals Birmingham NHS Foundation Trust , Birmingham , UK
| | | | | | | | - Andrew C Peet
- 1 Birmingham Children's Hospital , Birmingham , UK.,2 Cancer Sciences, University of Birmingham , Birmingham , UK
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12
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Delgado AF, De Luca F, Hanagandi P, van Westen D, Delgado AF. Arterial Spin-Labeling in Children with Brain Tumor: A Meta-Analysis. AJNR Am J Neuroradiol 2018; 39:1536-1542. [PMID: 30072368 PMCID: PMC7410530 DOI: 10.3174/ajnr.a5727] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 05/18/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND The value of arterial spin-labeling in a pediatric population has not been assessed in a meta-analysis. PURPOSE Our aim was to assess the diagnostic accuracy of arterial spin-labeling-derived cerebral blood flow to discriminate low- and high-grade tumors. DATA SOURCES MEDLINE, EMBASE, the Web of Science Core Collection, and the Cochrane Library were used. STUDY SELECTION Pediatric patients with arterial spin-labeling MR imaging with verified neuropathologic diagnoses were included. DATA ANALYSIS Relative CBF and absolute CBF and tumor grade were extracted, including sequence-specific information. Mean differences in CBF between low- and high-grade tumors were calculated. Study quality was assessed. DATA SYNTHESIS Data were aggregated using the bivariate summary receiver operating characteristic curve model. Heterogeneity was explored with meta-regression and subgroup analyses. The study protocol was published at PROSPERO (CRD42017075055). Eight studies encompassing 286 pediatric patients were included. The mean differences in absolute CBF were 29.62 mL/min/100 g (95% CI, 10.43-48.82 mL/min/100 g), I2 = 74, P = .002, and 1.34 mL/min/100 g (95% CI, 0.95-1.74 mL/min/100 g), P < .001, I2 = 38 for relative CBF. Pooled sensitivity for relative CBF ranged from 0.75 to 0.90, and specificity, from 0.77 to 0.92 with an area under curve = 0.92. Meta-regression showed no moderating effect of sequence parameters TE, TR, acquisition time, or ROI method. LIMITATIONS Included tumor types, analysis method, and original data varied among included studies. CONCLUSIONS Arterial spin-labeling-derived CBF measures showed high diagnostic accuracy for discriminating low- and high-grade tumors in pediatric patients with brain tumors. The relative CBF showed less variation among studies than the absolute CBF.
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Affiliation(s)
- A F Delgado
- From the Departments of Clinical Neuroscience (Anna F.D.)
| | - F De Luca
- Faculty of Medicine and Surgery (F.D.L.), School of Medicine and Health Sciences, University "G. d'Annunzio," Chieti, Italy
| | - P Hanagandi
- Neuroradiology (P.H.), Karolinska Institute, Stockholm, Sweden
| | - D van Westen
- Faculty of Medicine (D.v.W.), Clinical Sciences, Lund University, Sweden
| | - A F Delgado
- Department of Surgical Sciences (Alberto F.D.), Uppsala University, Uppsala, Sweden
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13
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Iv M, Yoon BC, Heit JJ, Fischbein N, Wintermark M. Current Clinical State of Advanced Magnetic Resonance Imaging for Brain Tumor Diagnosis and Follow Up. Semin Roentgenol 2018; 53:45-61. [DOI: 10.1053/j.ro.2017.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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14
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Yang S, Zhao B, Wang G, Xiang J, Xu S, Liu Y, Zhao P, Pfeuffer J, Qian T. Improving the Grading Accuracy of Astrocytic Neoplasms Noninvasively by Combining Timing Information with Cerebral Blood Flow: A Multi-TI Arterial Spin-Labeling MR Imaging Study. AJNR Am J Neuroradiol 2016; 37:2209-2216. [PMID: 27561831 DOI: 10.3174/ajnr.a4907] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2016] [Accepted: 07/01/2016] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE Systematic and accurate glioma grading has clinical significance. We present the utility of multi-TI arterial spin-labeling imaging and provide the bolus arrival time maps for grading astrocytomas. MATERIALS AND METHODS Forty-three patients with astrocytomas (21 men; mean age, 51 years) were recruited. The classification abilities of conventional MR imaging features, normalized CBF value derived from multi-TI arterial spin-labeling imaging, normalized bolus arrival time, and normalized CBF derived from single-TI arterial spin-labeling were compared in patients with World Health Organization (WHO) grade II, III, and IV astrocytomas. RESULTS The normalized CBF value derived from multi-TI arterial spin-labeling imaging was higher in patients with higher grade astrocytoma malignancies compared with patients with lower grade astrocytomas, while the normalized bolus arrival time showed the opposite tendency. The normalized CBF value derived from the multi-TI arterial spin-labeling imaging showed excellent performance with areas under the receiver operating characteristic curve of 0.813 (WHO II versus III), 0.964 (WHO II versus IV), 0.872 (WHO III versus IV), and 0.883 (low-grade-versus-high-grade gliomas). The normalized CBF value derived from single-TI arterial spin-labeling imaging could statistically differentiate the WHO II and IV groups (area under the receiver operating characteristic curve = 0.826). The normalized bolus arrival time effectively identified the WHO grades II and III with an area under the receiver operating characteristic curve of 0.836. Combining the normalized CBF value derived from multi-TI arterial spin-labeling imaging and normalized bolus arrival time improved the diagnostic accuracy from 65.10% to 72.10% compared with the normalized CBF value derived from multi-TI arterial spin-labeling imaging being applied independently. The combination of multi-TI arterial spin-labeling imaging and conventional MR imaging had the best performance, with a diagnostic accuracy of 81.40%. CONCLUSIONS Multi-TI arterial spin-labeling imaging can evaluate perfusion dynamics by combining normalized bolus arrival time and normalized CBF values derived from multiple TIs. It is superior to single-TI arterial spin-labeling imaging and conventional MR imaging features when applied independently and can improve the diagnostic accuracy when combined with conventional MR imaging for grading astrocytomas.
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Affiliation(s)
- S Yang
- From the Department of MR Imaging (S.Y., B.Z., G.W., J.X.), Shandong Medical Imaging Research Institute, Shandong University, Jinan, P.R. China
| | - B Zhao
- From the Department of MR Imaging (S.Y., B.Z., G.W., J.X.), Shandong Medical Imaging Research Institute, Shandong University, Jinan, P.R. China
| | - G Wang
- From the Department of MR Imaging (S.Y., B.Z., G.W., J.X.), Shandong Medical Imaging Research Institute, Shandong University, Jinan, P.R. China
| | - J Xiang
- From the Department of MR Imaging (S.Y., B.Z., G.W., J.X.), Shandong Medical Imaging Research Institute, Shandong University, Jinan, P.R. China
| | - S Xu
- Department of Neurosurgery (S.X., Y.L., P.Z.), Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Y Liu
- Department of Neurosurgery (S.X., Y.L., P.Z.), Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - P Zhao
- Department of Neurosurgery (S.X., Y.L., P.Z.), Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - J Pfeuffer
- Application Development (J.P.), Siemens, Erlangen, Germany
| | - T Qian
- MR Collaborations NE Asia (T.Q.), Siemens Healthcare, Beijing, China
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