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Dogra S, Wang X, Gee JM, Gupta A, Veraart J, Ishida K, Qiu D, Dehkharghani S. Diaschisis Profiles in the Cerebellar Response to Hemodynamic Stimuli: Insights From Dynamic Measurement of Cerebrovascular Reactivity to Identify Occult and Transient Maxima. J Magn Reson Imaging 2023; 58:1462-1469. [PMID: 36995159 DOI: 10.1002/jmri.28648] [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: 12/06/2022] [Revised: 01/31/2023] [Accepted: 01/31/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Crossed cerebellar diaschisis (CCD) refers to depressions in perfusion and metabolism within the cerebellar hemisphere contralateral to supratentorial disease. Prior investigation into CCD in cerebrovascular reactivity (CVR) has been limited to terminal CVR estimations (CVRend ). We recently have demonstrated the presence of unsustained CVR maxima (CVRmax ) using dynamic CVR analysis, offering a fully dynamic characterization of CVR to hemodynamic stimuli. PURPOSE To investigate CCD in CVRmax from dynamic blood oxygen level-dependent (BOLD) MRI, by comparison with conventional CVRend estimation. STUDY TYPE Retrospective. POPULATION A total of 23 patients (median age: 51 years, 10 females) with unilateral chronic steno-occlusive cerebrovascular disease, without prior knowledge of CCD status. FIELD STRENGTH/SEQUENCE A 3-T, T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) and acetazolamide-augmented BOLD imaging performed with a gradient-echo echo-planar imaging (EPI) sequence. ASSESSMENT A custom denoising pipeline was used to generate BOLD-CVR time signals. CVRend was established using the last minute of the BOLD response relative to the first-minute baseline. Following classification of healthy versus diseased cerebral hemispheres, CVRmax and CVRend were calculated for bilateral cerebral and cerebellar hemispheres. Three independent observers evaluated all data for the presence of CCD. STATISTICAL TESTS Pearson correlations for comparing CVR across hemispheres, two-proportion Z-tests for comparing CCD prevalence, and Wilcoxon signed-rank tests for comparing median CVR. The level of statistical significance was set at P ≤ 0.05. RESULTS CCD-related changes were observed on both CVRend and CVRmax maps, with all CCD+ cases identifiable by inspection of either map. Diseased cerebral and contralateral cerebellar hemispheric CVR correlations in CCD+ patients were stronger when using CVRend (r = 0.728) as compared to CVRmax (r = 0.676). CVR correlations between healthy cerebral hemispheres and contralateral cerebellar hemispheres were stronger for CVRmax (r = 0.739) than for CVRend (r = 0.705). DATA CONCLUSION CCD-related alterations could be observed in CVR examinations. Conventional CVRend may underestimate CVR and could exaggerate CCD. EVIDENCE LEVEL 4. TECHNICAL EFFICACY Stage 3.
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Affiliation(s)
- Siddhant Dogra
- Department of Radiology, New York University Langone Health, New York, New York, USA
| | - Xiuyuan Wang
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - James Michael Gee
- Department of Radiology, New York University Langone Health, New York, New York, USA
| | - Alejandro Gupta
- Department of Radiology, New York University Langone Health, New York, New York, USA
| | - Jelle Veraart
- Department of Radiology, New York University Langone Health, New York, New York, USA
| | - Koto Ishida
- Department of Neurology, New York University Langone Health, New York, New York, USA
| | - Deqiang Qiu
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
| | - Seena Dehkharghani
- Department of Radiology, New York University Langone Health, New York, New York, USA
- Department of Neurology, New York University Langone Health, New York, New York, USA
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Sung D, Rejimon A, Allen JW, Fedorov AG, Fleischer CC. Predicting brain temperature in humans using bioheat models: Progress and outlook. J Cereb Blood Flow Metab 2023; 43:833-842. [PMID: 36883416 PMCID: PMC10196749 DOI: 10.1177/0271678x231162173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 03/09/2023]
Abstract
Brain temperature, regulated by the balance between blood circulation and metabolic heat generation, is an important parameter related to neural activity, cerebral hemodynamics, and neuroinflammation. A key challenge for integrating brain temperature into clinical practice is the lack of reliable and non-invasive brain thermometry. The recognized importance of brain temperature and thermoregulation in both health and disease, combined with limited availability of experimental methods, has motivated the development of computational thermal models using bioheat equations to predict brain temperature. In this mini-review, we describe progress and the current state-of-the-art in brain thermal modeling in humans and discuss potential avenues for clinical applications.
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Affiliation(s)
- Dongsuk Sung
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Abinand Rejimon
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Jason W Allen
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Department of Neurology, Emory
University School of Medicine, Atlanta, GA, USA
| | - Andrei G Fedorov
- Woodruff School of Mechanical
Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- Petit Institute for Bioengineering
and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
| | - Candace C Fleischer
- Department of Biomedical
Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA,
USA
- Department of Radiology and Imaging
Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Petit Institute for Bioengineering
and Bioscience, Georgia Institute of Technology, Atlanta, GA, USA
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Dogra S, Wang X, Gupta A, Veraart J, Ishida K, Qiu D, Dehkharghani S. Acetazolamide-augmented BOLD MRI to Assess Whole-Brain Cerebrovascular Reactivity in Chronic Steno-occlusive Disease Using Principal Component Analysis. Radiology 2023; 307:e221473. [PMID: 36916889 PMCID: PMC10140639 DOI: 10.1148/radiol.221473] [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: 06/23/2022] [Revised: 01/12/2023] [Accepted: 02/10/2023] [Indexed: 03/16/2023]
Abstract
Background Exhaustion of cerebrovascular reactivity (CVR) portends increased stroke risk. Acetazolamide-augmented blood oxygenation level-dependent (BOLD) MRI has been used to estimate CVR, but low signal-to-noise conditions relegate its use to terminal CVR (CVRend) measurements that neglect dynamic features of CVR. Purpose To demonstrate comprehensive characterization of acetazolamide-augmented BOLD MRI response in chronic steno-occlusive disease using a computational framework to precondition signal time courses for dynamic whole-brain CVR analysis. Materials and Methods This study focused on retrospective analysis of consecutive patients with unilateral chronic steno-occlusive disease who underwent acetazolamide-augmented BOLD imaging for recurrent minor stroke or transient ischemic attack at an academic medical center between May 2017 and October 2020. A custom principal component analysis-based denoising pipeline was used to correct spatially varying non-signal-bearing contributions obtained by a local principal component analysis of the MRI time series. Standard voxelwise CVRend maps representing terminal responses were produced and compared with maximal CVR (CVRmax) as isolated from binned (per-repetition time) denoised BOLD time course. A linear mixed-effects model was used to compare CVRmax and CVRend in healthy and diseased hemispheres. Results A total of 23 patients (median age, 51 years; IQR, 42-61, 13 men) who underwent 32 BOLD examinations were included. Processed MRI data showed twofold improvement in signal-to-noise ratio, allowing improved isolation of dynamic characteristics in signal time course for sliding window CVRmax analysis to the level of each BOLD repetition time (approximately 2 seconds). Mean CVRmax was significantly higher than mean CVRend in diseased (5.2% vs 3.8%, P < .01) and healthy (5.5% vs 4.0%, P < .01) hemispheres. Several distinct time-signal signatures were observed, including nonresponsive; delayed/blunted; brisk; and occasionally nonmonotonic time courses with paradoxical features in normal and abnormal tissues (ie, steal and reverse-steal patterns). Conclusion A principal component analysis-based computational framework for analysis of acetazolamide-augmented BOLD imaging can be used to measure unsustained CVRmax through twofold improvements in signal-to-noise ratio. © RSNA, 2023 Supplemental material is available for this article.
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Affiliation(s)
- Siddhant Dogra
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Xiuyuan Wang
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Alejandro Gupta
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Jelle Veraart
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Koto Ishida
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Deqiang Qiu
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
| | - Seena Dehkharghani
- From the Departments of Radiology (S. Dogra, A.G., J.V., S. Dehkharghani) and Neurology (K.I., S. Dehkharghani), New York University Langone Health, 660 First Ave, New York, NY 10016; Department of Radiology, Weill Cornell Medical College, New York, NY (X.W.); and Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (D.Q.)
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Sung D, Risk BB, Wang KJ, Allen JW, Fleischer CC. Resting-State Brain Temperature: Dynamic Fluctuations in Brain Temperature and the Brain-Body Temperature Gradient. J Magn Reson Imaging 2023; 57:1222-1228. [PMID: 35904094 PMCID: PMC9884314 DOI: 10.1002/jmri.28376] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND While fluctuations in healthy brain temperature have been investigated over time periods of weeks to months, dynamics over shorter time periods are less clear. PURPOSE To identify physiological fluctuations in brain temperature in healthy volunteers over time scales of approximately 1 hour. STUDY TYPE Prospective. SUBJECTS A total of 30 healthy volunteers (15 female; 26 ± 4 years old). SEQUENCE AND FIELD STRENGTH 3 T; T1-weighted magnetization-prepared rapid gradient-echo (MPRAGE) and semi-localized by adiabatic selective refocusing (sLASER) single-voxel spectroscopy. ASSESSMENTS Brain temperature was calculated from the chemical shift difference between N-acetylaspartate and water. To evaluate within-scan repeatability of brain temperature and the brain-body temperature difference, 128 spectral transients were divided into two sets of 64-spectra. Between-scan repeatability was evaluated using two time periods, ~1-1.5 hours apart. STATISTICAL TESTS A hierarchical linear mixed model was used to calculate within-scan and between-scan correlations (Rw and Rb , respectively). Significance was determined at P ≤ .05. Values are reported as the mean ± standard deviation. RESULTS A significant difference in brain temperature was observed between scans (-0.4 °C) but body temperature was stable (P = .59). Brain temperature (37.9 ± 0.7 °C) was higher than body temperature (36.5 ± 0.5 °C) for all but one subject. Within-scan correlation was high for brain temperature (Rw = 0.95) and brain-body temperature differences (Rw = 0.96). Between scans, variability was high for both brain temperature (Rb = 0.30) and brain-body temperature differences (Rb = 0.41). DATA CONCLUSION Significant changes in brain temperature over time scales of ~1 hour were observed. High short-term repeatability suggests temperature changes appear to be due to physiology rather than measurement error. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Dongsuk Sung
- Department of Radiology and Imaging Sciences, Emory University School of Medicine
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
| | - Benjamin B. Risk
- Department of Biostatistics and Bioinformatics, Emory University
| | - Kelly J. Wang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine
- Department of Neuroscience, Georgia Institute of Technology
| | - Jason W. Allen
- Department of Radiology and Imaging Sciences, Emory University School of Medicine
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
| | - Candace C. Fleischer
- Department of Radiology and Imaging Sciences, Emory University School of Medicine
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
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Effects of orientation-dependent susceptibility on MR chemical shift brain thermometry. Magn Reson Imaging 2023; 95:59-62. [PMID: 36273626 PMCID: PMC9744186 DOI: 10.1016/j.mri.2022.10.007] [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: 06/13/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE The presence of orientation-dependent susceptibility artifacts in magnetic resonance chemical shift thermometry (CST) can confound accurate temperature calculations. Here, we quantify the effect of white matter (WM) tract orientation on CST due to tissue-specific susceptibility. METHODS Twenty-nine healthy volunteers (27 ± 4 years old) were scanned on a 3 T MR scanner with a 32-channel head coil. Diffusion tensor imaging (DTI), T1-weighted imaging, and single voxel spectroscopy (SVS) for CST were acquired. Participants were then asked to rotate their head ∼3-5° (yaw or roll) to alter the orientation of WM tracts relative to the external magnetic field. After head rotation, a second SVS scan and T1-weighted imaging were acquired. The WM-fraction-normalized DTI principal eigenvector (V1) images were used to calculate the length of the x-y component of V1, which was used as a surrogate for WM tracts perpendicular to B0. A linear regression model was used to determine the relationship between the perpendicular WM tracts and brain temperature. RESULTS Significant temperature differences between post- and pre-head rotation scans were observed for brain (-0.72 °C ± 1.36 °C, p = 0.01) but not body (0.012 °C ± 0.07 °C, p = 0.37) temperatures. The difference in brain temperature was positively associated with the corresponding change in perpendicular WM tracts after head rotation (R2 = 0.26, p = 0.005). CONCLUSION Our results indicate WM tract orientation affects temperature calculations, suggesting artifacts from orientation-dependent susceptibility may be present in CST.
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Sung D, Risk BB, Kottke PA, Allen JW, Nahab F, Fedorov AG, Fleischer CC. Comparisons of healthy human brain temperature predicted from biophysical modeling and measured with whole brain MR thermometry. Sci Rep 2022; 12:19285. [PMID: 36369468 PMCID: PMC9652378 DOI: 10.1038/s41598-022-22599-x] [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: 07/16/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022] Open
Abstract
Brain temperature is an understudied parameter relevant to brain injury and ischemia. To advance our understanding of thermal dynamics in the human brain, combined with the challenges of routine experimental measurements, a biophysical modeling framework was developed to facilitate individualized brain temperature predictions. Model-predicted brain temperatures using our fully conserved model were compared with whole brain chemical shift thermometry acquired in 30 healthy human subjects (15 male and 15 female, age range 18-36 years old). Magnetic resonance (MR) thermometry, as well as structural imaging, angiography, and venography, were acquired prospectively on a Siemens Prisma whole body 3 T MR scanner. Bland-Altman plots demonstrate agreement between model-predicted and MR-measured brain temperatures at the voxel-level. Regional variations were similar between predicted and measured temperatures (< 0.55 °C for all 10 cortical and 12 subcortical regions of interest), and subcortical white matter temperatures were higher than cortical regions. We anticipate the advancement of brain temperature as a marker of health and injury will be facilitated by a well-validated computational model which can enable predictions when experiments are not feasible.
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Affiliation(s)
- Dongsuk Sung
- grid.213917.f0000 0001 2097 4943Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA USA
| | - Benjamin B. Risk
- grid.189967.80000 0001 0941 6502Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA USA
| | - Peter A. Kottke
- grid.213917.f0000 0001 2097 4943Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA USA
| | - Jason W. Allen
- grid.213917.f0000 0001 2097 4943Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Department of Neurology, Emory University School of Medicine, Atlanta, GA USA
| | - Fadi Nahab
- grid.189967.80000 0001 0941 6502Department of Neurology, Emory University School of Medicine, Atlanta, GA USA
| | - Andrei G. Fedorov
- grid.213917.f0000 0001 2097 4943Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA USA ,grid.213917.f0000 0001 2097 4943Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA USA
| | - Candace C. Fleischer
- grid.213917.f0000 0001 2097 4943Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA USA ,grid.213917.f0000 0001 2097 4943Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA USA ,grid.189967.80000 0001 0941 6502Wesley Woods Health Center, Emory University School of Medicine, 1841 Clifton Road, Atlanta, GA 30329 USA
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7
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Demographic reporting across a decade of neuroimaging: a systematic review. Brain Imaging Behav 2022; 16:2785-2796. [DOI: 10.1007/s11682-022-00724-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/30/2022] [Indexed: 11/25/2022]
Abstract
Abstract
Diversity of participants in biomedical research with respect to race, ethnicity, and biological sex is crucial, particularly given differences in disease prevalence, recovery, and survival rates between demographic groups. The objective of this systematic review was to report on the demographics of neuroimaging studies using magnetic resonance imaging (MRI). The Web of Science database was used and data collection was performed between June 2021 to November 2021; all articles were reviewed independently by at least two researchers. Articles utilizing MR data acquired in the United States, with n ≥ 10 human subjects, and published between 2010–2020 were included. Non-primary research articles and those published in journals that did not meet a quality control check were excluded. Of the 408 studies meeting inclusion criteria, approximately 77% report sex, 10% report race, and 4% report ethnicity. Demographic reporting also varied as function of disease studied, participant age range, funding, and publisher. We anticipate quantitative data on the extent, or lack, of reporting will be necessary to ensure inclusion of diverse populations in biomedical research.
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Le Ster C, Mauconduit F, Mirkes C, Vignaud A, Boulant N. Measuring radiofrequency field-induced temperature variations in brain MRI exams with motion compensated MR thermometry and field monitoring. Magn Reson Med 2021; 87:1390-1400. [PMID: 34687068 DOI: 10.1002/mrm.29058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/23/2021] [Accepted: 10/08/2021] [Indexed: 11/08/2022]
Abstract
PURPOSE An MR thermometry (MRT) method with motion and field fluctuation compensation is proposed to measure non-invasively sub-degree brain temperature variations occurring through radiofrequency (RF) power deposition during MR exams. METHODS MRT at 7T with a multi-slice echo planar imaging (EPI) sequence and concurrent field monitoring was first tested in vitro to assess accuracy in the presence of external field perturbations, an optical probe being used for ground truth. In vivo, this strategy was complemented by a motion compensation scheme based on a dictionary pre-scan, as reported in some previous work, and was adapted to the human brain. Precision reached with this scheme was assessed on eight volunteers with a 5 minute-long low specific absorption rate (SAR) scan. Finally, temperature rise in the brain was measured twice on the same volunteers and with the same strategy, this time by employing a 20-minutes scan at the maximum SAR delivered with a commercial volume head coil. RESULTS In vitro, the root mean square (RMS) error between optical probe and MRT measurements was 0.02°C with field sensor correction. In vivo, the low SAR scan returned a precision in temperature change measurement with field monitoring and motion compensation of 0.05°C. The 20-minutes maximum SAR scan returned a temperature rise throughout the inner-brain in the range of 0-0.2°C. Brain periphery remained too sensitive with respect to motion to lead to equally conclusive results. CONCLUSION Sub-degree temperature rise in the inner human brain was characterized experimentally throughout RF exposure. Potential applications include improvement of human thermal models and revision of safety margins.
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Affiliation(s)
- Caroline Le Ster
- Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France
| | - Franck Mauconduit
- Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France
| | | | - Alexandre Vignaud
- Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France
| | - Nicolas Boulant
- Université Paris-Saclay, CEA, CNRS, BAOBAB, NeuroSpin, Gif-sur-Yvette, France
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Dehkharghani S, Yaghi S, Bowen MT, Pisani L, Scher E, Haussen DC, Nogueira RG. Mild fever as a catalyst for consumption of the ischaemic penumbra despite endovascular reperfusion. Brain Commun 2020; 2:fcaa116. [PMID: 33033801 PMCID: PMC7532660 DOI: 10.1093/braincomms/fcaa116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/18/2020] [Accepted: 06/23/2020] [Indexed: 11/26/2022] Open
Abstract
Cerebrovascular ischaemia is potentiated by hyperthermia, and even mild temperature elevation has proved detrimental to ischaemic brain. Infarction progression following endovascular reperfusion relates to multiple patient-specific and procedural variables; however, the potential influence of mild systemic temperature fluctuations is not fully understood. This study aims to assess the relationship between systemic temperatures in the early aftermath of acute ischaemic stroke and the loss of at-risk penumbral tissues, hypothesizing consumption of the ischaemic penumbra as a function of systemic temperatures, irrespective of reperfusion status. A cross-sectional, retrospective evaluation of a single-institution, prospectively collected endovascular therapy registry was conducted. Patients with anterior circulation, large vessel occlusion acute ischaemic stroke who underwent initial CT perfusion, and in whom at least four-hourly systemic temperatures were recorded beginning from presentation and until the time of final imaging outcome were included. Initial CT perfusion core and penumbra volumes and final MRI infarction volumes were computed. Systemic temperature indices including temperature maxima were recorded, and pre-defined temperature thresholds varying between 37°C and 38°C were examined in unadjusted and adjusted regression models which included glucose, collateral status, reperfusion status, CT perfusion-to-reperfusion delay, general anaesthesia and antipyretic exposure. The primary outcome was the relative consumption of the penumbra, reflecting normalized growth of the at-risk tissue volume ≥10%. The final study population comprised 126 acute ischaemic stroke subjects (mean 63 ± 14.5 years, 63% women). The primary outcome of penumbra consumption ≥10% occurred in 51 (40.1%) subjects. No significant differences in baseline characteristics were present between groups, with the exception of presentation glucose (118 ± 26.6 without versus 143.1 ± 61.6 with penumbra consumption, P = 0.009). Significant differences in the likelihood of penumbra consumption relating to systemic temperature maxima were observed [37°C (interquartile range 36.5 − 37.5°C) without versus 37.5°C (interquartile range 36.8 − 38.2°C) with penumbra consumption, P = 0.001]. An increased likelihood of penumbra consumption was observed for temperature maxima in unadjusted (odds ratio 3.57, 95% confidence interval 1.65 − 7.75; P = 0.001) and adjusted (odds ratio 3.06, 95% confidence interval 1.33 − 7.06; P = 0.009) regression models. Significant differences in median penumbra consumption were present at a pre-defined temperature maxima threshold of 37.5°C [4.8 ml (interquartile range 0 − 11.5 ml) versus 21.1 ml (0 − 44.7 ml) for subjects not reaching or reaching the threshold, respectively, P = 0.007]. Mild fever may promote loss of the ischaemic penumbra irrespective of reperfusion, potentially influencing successful salvage of at-risk tissue volumes following acute ischaemic stroke.
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Affiliation(s)
- Seena Dehkharghani
- Department of Radiology, New York University Langone Health, New York, NY, USA
| | - Shadi Yaghi
- Department of Neurology, New York University Langone Health, New York, NY, USA
| | - Meredith T Bowen
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Leonardo Pisani
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA
| | - Erica Scher
- Department of Neurology, New York University Langone Health, New York, NY, USA
| | - Diogo C Haussen
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA.,Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA 30303, USA
| | - Raul G Nogueira
- Department of Neurology, Emory University Hospital, Atlanta, GA, USA.,Department of Neurology, Marcus Stroke and Neuroscience Center, Grady Memorial Hospital, Atlanta, GA 30303, USA
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Dehkharghani S, Qiu D. MR Thermometry in Cerebrovascular Disease: Physiologic Basis, Hemodynamic Dependence, and a New Frontier in Stroke Imaging. AJNR Am J Neuroradiol 2020; 41:555-565. [PMID: 32139425 DOI: 10.3174/ajnr.a6455] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 01/02/2020] [Indexed: 01/20/2023]
Abstract
The remarkable temperature sensitivity of the brain is widely recognized and has been studied for its role in the potentiation of ischemic and other neurologic injuries. Pyrexia frequently complicates large-vessel acute ischemic stroke and develops commonly in critically ill neurologic patients; the profound sensitivity of the brain even to minor intraischemic temperature changes, together with the discovery of brain-to-systemic as well as intracerebral temperature gradients, has thus compelled the exploration of cerebral thermoregulation and uncovered its immutable dependence on cerebral blood flow. A lack of pragmatic and noninvasive tools for spatially and temporally resolved brain thermometry has historically restricted empiric study of cerebral temperature homeostasis; however, MR thermometry (MRT) leveraging temperature-sensitive nuclear magnetic resonance phenomena is well-suited to bridging this long-standing gap. This review aims to introduce the reader to the following: 1) fundamental aspects of cerebral thermoregulation, 2) the physical basis of noninvasive MRT, and 3) the physiologic interdependence of cerebral temperature, perfusion, metabolism, and viability.
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Affiliation(s)
- S Dehkharghani
- From the Department of Radiology (S.D.), New York University Langone Health, New York, New York
| | - D Qiu
- Department of Radiology (D.Q.), Emory University Hospital, Atlanta, Georgia
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Leatherday C, Dehkharghani S, Nahab F, Allen JW, Wu J, Hu R, Qiu D. Cerebral MR oximetry during acetazolamide augmentation: Beyond cerebrovascular reactivity in hemodynamic failure. J Magn Reson Imaging 2018; 50:175-182. [PMID: 30390367 DOI: 10.1002/jmri.26546] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/02/2018] [Accepted: 10/02/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Oxygen extraction fraction (OEF) elevation predicts increased ischemic stroke incidence among patients with carotid steno-occlusive disease, and can be estimated from quantitative susceptibility mapping (QSM) MRI. PURPOSE To explore QSM oximetry during acetazolamide (ACZ) challenge, hypothesizing that detectable OEF alterations will reflect hemodynamic compromise in unilateral cerebrovascular disease (CVD) patients. STUDY TYPE Retrospective. SUBJECTS Fourteen unilateral CVD patients, and 24 healthy controls (HC). FIELD STRENGTH/SEQUENCE Multiecho gradient echo (GRE) and T1 -weighted images at 3T. ASSESSMENT We constructed QSM images and R2* maps from multiecho GRE images. QSM-OEF maps were generated from the susceptibility difference between venous blood and background brain tissue. Intrasubject diseased/contralateral hemisphere OEF ratios in the middle cerebral artery (MCA) territories were calculated. Intravascular susceptibility in the straight sinus (SS) and MCA was also measured. STATISTICAL TESTS The result significance was determined using t-tests and Pearson's correlation. RESULTS Mean and standard deviation for the patient diseased/contralateral OEF ratios were 1.15 ± 0.14 at baseline and 1.23 ± 0.17 post-ACZ. Disease group R2* ratios were 0.95 ± 0.05 at baseline and 1.03 ± 0.08 post-ACZ. Left/right OEF and R2* ratios for the HC group were 0.98 ± 0.06 and 0.99 ± 0.038, respectively. Susceptibility (ppb) in the SS and MCA in patients was 162.63 ± 35.4 and -22.33 ± 13.70, respectively, at baseline, 124.56 ± 37.43 and -19.27 ± 23.14 post-ACZ. The HC group SS and MCA susceptibility was 146.10 ± 24.79 and -19.59 ± 12.37, respectively. Patient group OEF ratios were greater than 1.0 before and after ACZ challenge (P < 0.01 and < 0.001, respectively, one-sample t-test), and were greater than HC ratios (P < 0.001 unpaired t-test). OEF and R2* ratios increased from baseline to post-ACZ (P = 0.024, 0.004, respectively, paired t-test). Detectable blood oxygenation change was confirmed by finding SS susceptibility decreased from baseline to post-ACZ (P < 0.001, paired t-test), while MCA susceptibility did not change significantly (P = 0.67, paired t-test). DATA CONCLUSION These results suggest QSM is sensitive to dynamic OEF modulation during hemodynamic augmentation. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;50:175-182.
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Affiliation(s)
| | | | - Fadi Nahab
- Neurology, Emory University, Atlanta, Georgia, USA
| | - Jason W Allen
- Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.,Neurology, Emory University, Atlanta, Georgia, USA
| | - Junjie Wu
- Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
| | - Ranliang Hu
- Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
| | - Deqiang Qiu
- Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA
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Sparacia G, Cannella R, Lo Re V, Mamone G, Sakai K, Yamada K, Miraglia R. Brain-core temperature of patients before and after orthotopic liver transplantation assessed by DWI thermometry. Jpn J Radiol 2018; 36:324-330. [DOI: 10.1007/s11604-018-0729-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 03/15/2018] [Indexed: 10/17/2022]
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