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Jaafar N, Alsop DC. Arterial Spin Labeling: Key Concepts and Progress Towards Use as a Clinical Tool. Magn Reson Med Sci 2024; 23:352-366. [PMID: 38880616 PMCID: PMC11234948 DOI: 10.2463/mrms.rev.2024-0013] [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: 02/06/2024] [Accepted: 05/15/2024] [Indexed: 06/18/2024] Open
Abstract
Arterial spin labeling (ASL), a non-invasive MRI technique, has emerged as a valuable tool for researchers that can measure blood flow and related parameters. This review aims to provide a qualitative overview of the technical principles and recent developments in ASL and to highlight its potential clinical applications. A growing literature demonstrates impressive ASL sensitivity to a range of neuropathologies and treatment responses. Despite its potential, challenges persist in the translation of ASL to widespread clinical use, including the lack of standardization and the limited availability of comprehensive training. As experience with ASL continues to grow, the final stage of translation will require moving beyond single site observational studies to multi-site experience and measurement of the added contribution of ASL to patient care and outcomes.
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Affiliation(s)
- Narjes Jaafar
- Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - David C. Alsop
- Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
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Kambe A, Kitao S, Ochiai R, Hosoya T, Fujii S, Kurosaki M. The utility of arterial spin labeling imaging for predicting prognosis after a recurrence of high-grade glioma in patients under bevacizumab treatment. J Neurooncol 2024; 166:175-183. [PMID: 38165552 DOI: 10.1007/s11060-023-04550-w] [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: 11/26/2023] [Accepted: 12/20/2023] [Indexed: 01/04/2024]
Abstract
BACKGROUND AND PURPOSE Currently, the antiangiogenic agent bevacizumab (BVZ) is used as a treatment option for high-grade glioma (HGG) patients. However, BVZ restores disruptions of the blood-brain barrier, which leads to the disappearance of contrast enhancement during radiological examinations and therefore complicates evaluations of treatment efficacy. This study aimed to investigate the radio-morphological features of recurrent lesions that newly appeared under BVZ therapy, as well as the utility of arterial spin labeling (ASL) perfusion imaging for evaluating treatment response and prognosis in HGG patients receiving BVZ. METHODS Thirty-two patients (20 males, 12 females; age range, 35-84 years) with HGG who experienced a recurrence under BVZ therapy were enrolled. We measured the relative cerebral blood flow (rCBF) values of each recurrent lesion using ASL, and retrospectively investigated the correlation between rCBF values and prognosis. RESULTS The optimal rCBF cut-off value for predicting prognosis was defined as 1.67 using receiver operating characteristic curve analysis. The patients in the rCBF < 1.67 group had significantly longer overall survival (OS) and post-progression survival (PPS) than those in the rCBF ≥ 1.67 group (OS: 34.0 months vs. 13.0 months, p = 0.03 and PPS: 13.0 months vs. 6.0 months, p < 0.001, respectively). CONCLUSION The ASL-derived rCBF values of recurrent lesions may serve as an effective imaging biomarker for prognosis in HGG patients undergoing BVZ therapy. Low rCBF values may indicate that BVZ efficacy is sustainable, which will influence BVZ treatment strategies in HGG patients.
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Affiliation(s)
- Atsushi Kambe
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan.
| | - Shinichiro Kitao
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Ryoya Ochiai
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Tomohiro Hosoya
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Shinya Fujii
- Department of Multidisciplinary Internal Medicine, Division of Radiology, Faculty of Medicine, Tottori University, Tottori, Japan
| | - Masamichi Kurosaki
- Department of Brain and Neurosciences, Division of Neurosurgery, Faculty of Medicine, Tottori University, Tottori, Japan
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3
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Chan RW, Chen H, Myrehaug S, Atenafu EG, Stanisz GJ, Stewart J, Maralani PJ, Chan AKM, Daghighi S, Ruschin M, Das S, Perry J, Czarnota GJ, Sahgal A, Lau AZ. Quantitative CEST and MT at 1.5T for monitoring treatment response in glioblastoma: early and late tumor progression during chemoradiation. J Neurooncol 2020; 151:267-278. [PMID: 33196965 DOI: 10.1007/s11060-020-03661-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 11/07/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE Quantitative MRI (qMRI) was performed using a 1.5T protocol that includes a novel chemical exchange saturation transfer/magnetization transfer (CEST/MT) approach. The purpose of this prospective study was to determine if qMRI metrics at baseline, at the 10th and 20th fraction during a 30 fraction/6 week standard chemoradiation (CRT) schedule, and at 1 month following treatment could be an early indicator of response for glioblastoma (GBM). METHODS The study included 51 newly diagnosed GBM patients. Four regions-of-interest (ROI) were analyzed: (i) the radiation defined clinical target volume (CTV), (ii) radiation defined gross tumor volume (GTV), (iii) enhancing-tumor regions, and (iv) FLAIR-hyperintense regions. Quantitative CEST, MT, T1 and T2 parameters were compared between those patients progressing within 6.9 months (early), and those progressing after CRT (late), using mixed modelling. Exploratory predictive modelling was performed to identify significant predictors of early progression using a multivariable LASSO model. RESULTS Results were dependent on the specific tumor ROI analyzed and the imaging time point. The baseline CEST asymmetry within the CTV was significantly higher in the early progression cohort. Other significant predictors included the T2 of the MT pools (for semi-solid at fraction 20 and water at 1 month after CRT), the exchange rate (at fraction 20) and the MGMT methylation status. CONCLUSIONS We observe the potential for multiparametric qMRI, including a novel pulsed CEST/MT approach, to show potential in distinguishing early from late progression GBM cohorts. Ultimately, the goal is to personalize therapeutic decisions and treatment adaptation based on non-invasive imaging-based biomarkers.
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Affiliation(s)
- Rachel W Chan
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada.
| | - Hanbo Chen
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sten Myrehaug
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Eshetu G Atenafu
- Department of Biostatistics, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Greg J Stanisz
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Department of Neurosurgery and Pediatric Neurosurgery, Medical University, Lublin, Poland
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | | | - Aimee K M Chan
- Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Shadi Daghighi
- Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sunit Das
- Division of Neurosurgery, St Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - James Perry
- Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Gregory J Czarnota
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Angus Z Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Medical Biophysics, University of Toronto, Toronto, ON, Canada
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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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Kong Z, Yan C, Zhu R, Wang J, Wang Y, Wang Y, Wang R, Feng F, Ma W. Imaging biomarkers guided anti-angiogenic therapy for malignant gliomas. NEUROIMAGE-CLINICAL 2018; 20:51-60. [PMID: 30069427 PMCID: PMC6067083 DOI: 10.1016/j.nicl.2018.07.001] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 07/02/2018] [Accepted: 07/03/2018] [Indexed: 12/24/2022]
Abstract
Antiangiogenic therapy is a universal approach to the treatment of malignant gliomas but fails to prolong the overall survival of newly diagnosed or recurrent glioblastoma patients. Imaging biomarkers are quantitative imaging parameters capable of objectively describing biological processes, pathological changes and treatment responses in some situations and have been utilized for outcome predictions of malignant gliomas in anti-angiogenic therapy. Advanced magnetic resonance imaging techniques (including perfusion-weighted imaging and diffusion-weighted imaging), positron emission computed tomography and magnetic resonance spectroscopy are imaging techniques that can be used to acquire imaging biomarkers, including the relative cerebral blood volume (rCBV), Ktrans, and the apparent diffusion coefficient (ADC). Imaging indicators for a better prognosis when treating malignant gliomas with antiangiogenic therapy include the following: a lower pre- or post-treatment rCBV, less change in rCBV during treatment, a lower pre-treatment Ktrans, a higher vascular normalization index during treatment, less change in arterio-venous overlap during treatment, lower pre-treatment ADC values for the lower peak, smaller ADC volume changes during treatment, and metabolic changes in glucose and phenylalanine. The investigation and utilization of these imaging markers may confront challenges, but may also promote further development of anti-angiogenic therapy. Despite considerable evidence, future prospective studies are critically needed to consolidate the current data and identify novel biomarkers. Anti-angiogenic therapy only benefits specific populations of glioma patients. Advanced imaging techniques can produce quantitative imaging biomarkers. Physiological and metabolic parameter can predict outcome for anti-angiogenic therapy. Larger prospective studies are needed to provide further evidence.
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Key Words
- 18F-FDOPA, 3,4-dihydroxy-6-[18F]-fluoro-l-phenylalanine
- 18F-FLT, [18F]-fluoro-3-deoxy-3-L-fluorothymidine
- ADC, apparent diffusion coefficient
- AVOL, arterio-venous overlap
- Anti-angiogenic
- BBB, blood brain barrier
- Biomarkers
- CBF, cerebral blood flow
- CBV, cerebral blood volume
- CNS, central nervous system
- CT, computed tomography
- D-2HG, D-2-hydroxypentanedioic acid
- DCE-MRI, dynamic contrast-enhanced magnetic resonance imaging
- DSC-MRI, dynamic susceptibility contrast magnetic resonance imaging
- DWI, diffusion-weighted imaging
- FDG, fluorodeoxyglucose
- FLAIR, fluid-attenuated inversion recovery
- FSE pcASL, fast spin echo pseudocontinuous artery spin labeling
- GBM, glioblastoma
- Glioma
- Imaging
- Ktrans, volume transfer constant between blood plasma and extravascular extracellular space
- MRI, magnetic resonance imaging
- MRS, magnetic resonance spectroscopy
- OS, overall survival
- PET, positron emission computed tomography
- PFS, progression-free survival
- PWI, perfusion-weighted imaging
- RANO, Response Assessment in Neuro-Oncology
- ROI, region of interest
- RSI, restriction spectrum imaging
- SUV, standardized uptake value
- TMZ, temozolomide
- Therapy
- VAI, vessel architectural imaging
- VEGF-A, vascular endothelial growth factor A
- VNI, vascular normalization index.
- fDMs, functional diffusion maps
- nGBM, newly diagnosed glioblastoma
- rCBF, relative cerebral blood flow
- rCBV, relative cerebral blood volume
- rGBM, recurrent glioblastoma
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Affiliation(s)
- Ziren Kong
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
| | - Chengrui Yan
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China; Department of Neurosurgery, Peking University International Hospital, Peking University, Beijing, China
| | - Ruizhe Zhu
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
| | - Jiaru Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
| | - Yaning Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China
| | - Yu Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
| | - Renzhi Wang
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
| | - Feng Feng
- Department of Radiology, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China..
| | - Wenbin Ma
- Department of Neurosurgery, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
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Xu P, Li Y, Yang S, Li M, Li C. Positron Emission Tomographic Imaging Elucidates the Complex Relationship Between Glucose Uptake and Tissue Blood Flow Mechanism in Squamous Cell Oral Cancer Patients. Med Sci Monit 2017; 23:4533-4540. [PMID: 28934176 PMCID: PMC5621790 DOI: 10.12659/msm.903974] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Through the clinical use of positron emission tomography, we aimed to elucidate the complex relationship between glucose uptake and squamous cell oral cancer (ScOC) growth, along with its mechanism with respect to tissue blood flow (tBF). MATERIAL AND METHODS We retrospectively reviewed a total of 69 newly diagnosed ScOC patients by Fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET). Maximum and mean standard uptake values (SUV↑ and SUV) were recorded to assess glucose uptake. Multi-shot spin-echo echo-planar imaging-based pseudo-continuous arterial spin labeling (pcASL) technique at 3.0 T MRI was used to obtain tBF values in ScOC (tBF-ScOC). Patients were divided according to T-stage and location. Pearson's correlation coefficients were calculated between both SUV and tBF-ScOC for significant correlations. RESULTS Forty-one (59.4%) patients had oropharynx and the other 28 (40.6%) patients had laryngopharynx. Significant positive correlations were detected between SUV↑, SUV, tBF-ScOC and non-advanced T-stage (T1a, T1b, T2 and T3), while a negative correlation was observed in the advanced T-stage (T4a and T4b). CONCLUSIONS Using PET imaging, we established the relationship between glucose uptake and ScOC growth on the basis of the division of T-stage and tumor location of ScOC, thereby elucidating the underlying mechanism. Our findings provide insights important to the diagnosis, treatment, and care of ScOC patients.
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Affiliation(s)
- Ping Xu
- Department of Stomatology, Chengdu Military General Hospital, Chengdu, Sichuan, China (mainland)
| | - Yan Li
- Department of Stomatology, Chengdu Military General Hospital, Chengdu, Sichuan, China (mainland)
| | - Shuyong Yang
- Department of Stomatology, Chengdu Military General Hospital, Chengdu, Sichuan, China (mainland)
| | - Mingzhe Li
- Department of Stomatology, Chengdu Military General Hospital, Chengdu, Sichuan, China (mainland)
| | - Chenjun Li
- Department of Stomatology, Chengdu Military General Hospital, Chengdu, Sichuan, China (mainland)
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