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Hemond CC, Gaitán MI, Absinta M, Reich DS. New Imaging Markers in Multiple Sclerosis and Related Disorders: Smoldering Inflammation and the Central Vein Sign. Neuroimaging Clin N Am 2024; 34:359-373. [PMID: 38942521 PMCID: PMC11213979 DOI: 10.1016/j.nic.2024.03.004] [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] [Indexed: 06/30/2024]
Abstract
Concepts of multiple sclerosis (MS) biology continue to evolve, with observations such as "progression independent of disease activity" challenging traditional phenotypic categorization. Iron-sensitive, susceptibility-based imaging techniques are emerging as highly translatable MR imaging sequences that allow for visualization of at least 2 clinically useful biomarkers: the central vein sign and the paramagnetic rim lesion (PRL). Both biomarkers demonstrate high specificity in the discrimination of MS from other mimics and can be seen at 1.5 T and 3 T field strengths. Additionally, PRLs represent a subset of chronic active lesions engaged in "smoldering" compartmentalized inflammation behind an intact blood-brain barrier.
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Affiliation(s)
- Christopher C Hemond
- Department of Neurology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA; National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - María I Gaitán
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Martina Absinta
- Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Scullen T, Milburn J, Aria K, Mathkour M, Tubbs RS, Kalyvas J. The use of diffusion tensor imaging in spinal pathology: a comprehensive literature review. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2024:10.1007/s00586-024-08231-8. [PMID: 39014075 DOI: 10.1007/s00586-024-08231-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 05/14/2023] [Accepted: 09/23/2023] [Indexed: 07/18/2024]
Abstract
STUDY DESIGN We reviewed the available literature systematically without meta-analysis following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. OBJECTIVE To evaluate contemporary literature on use of spinal diffusion tensor imaging(sDTI) in spinal pathology. BACKGROUND sDTI reveals the location and functional state of critical long tracts and is a potentially useful adjunct in disease management. METHODS Studies were included if they presented or discussed data from investigative or therapeutic procedures involving sDTI on human subjects in the setting of surgically amenable spinal pathology. Studies were excluded if they were (1) restricted to computational models investigating parameters using data not obtained clinically, (2) about cranial DTI methods, (3) about spinal pathology data not related to surgical management, (4) discussions or overviews of methods/techniques with minimal inclusion of objective experimental or clinical data. RESULTS Degenerative pathologies of interest were restricted to either cervical myelopathy (22/29,75.9%) or lumbar spondylosis 7/29,24.1%). Mass-occupying lesions included intradural pathology and discussed preoperative (7/9,77.8%) and intraoperative imaging(2/9,22.2%) as an adjunct to surgery 22.2%. Traumatic pathology focused on spinal cord injury prognosis and severity grading. CONCLUSIONS sDTI seems useful in surgical decision making and outcome measurements and in establishing clinical prognoses over a wide range of surgical pathologies. Further research is warranted with longer follow-up and larger population sizes in a prospective and controlled protocol.
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Affiliation(s)
- Tyler Scullen
- Department of Neurological Surgery, Ochsner Clinic Foundation, 1514 Jefferson Hwy, Jefferson, LA, 70112, USA.
- Department of Neurological Surgery, Tulane University School of Medicine, New Orleans, LA, 70114, USA.
| | - James Milburn
- Department of Radiology, Ochsner Clinic Foundation, Jefferson, LA, 70121, USA
| | - Kevin Aria
- Department of Neurological Surgery, Ochsner Clinic Foundation, 1514 Jefferson Hwy, Jefferson, LA, 70112, USA
- Department of Neurological Surgery, Tulane University School of Medicine, New Orleans, LA, 70114, USA
| | - Mansour Mathkour
- Department of Neurological Surgery, Ochsner Clinic Foundation, 1514 Jefferson Hwy, Jefferson, LA, 70112, USA
- Department of Neurological Surgery, Tulane University School of Medicine, New Orleans, LA, 70114, USA
| | - R Shane Tubbs
- Department of Neurological Surgery, Tulane University School of Medicine, New Orleans, LA, 70114, USA
| | - James Kalyvas
- Department of Neurological Surgery, Ochsner Clinic Foundation, 1514 Jefferson Hwy, Jefferson, LA, 70112, USA
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Wu G, Wang H, Ma X, Li H, Song B, Zhao J, Wang X, Lin J. SWI and CTP fusion model based on sparse representation method to predict cerebral infarction trend. Front Neurosci 2024; 18:1360459. [PMID: 38966761 PMCID: PMC11222412 DOI: 10.3389/fnins.2024.1360459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 06/05/2024] [Indexed: 07/06/2024] Open
Abstract
Objective SWI image signal is related to venous reflux disorder and perfusion defect. Computed tomography perfusion (CTP) contains perfusion information in space and time. There is a complementary basis between them to affect the prognosis of cerebral infarction. Methods Sixty-six patients included in the retrospective study were designated as the training set. Effective perfusion indicator features and imaging radiomic features of the peri-infarction area on Susceptibility weighted imaging (SWI) and CTP modality images were extracted from each case. Thirty-three patients from the prospectively included group were designated as the test set of the machine learning model based on a sparse representation method. The predicted results were compared with the DWI results of the patients' 7-10 days review to assess the validity and accuracy of the prediction. Results The AUC of the SWI + CTP integrated model was 0.952, the ACC was 0.909, the SEN was 0.889, and the SPE was 0.933. The prediction performance is the highest. Compared with the value of AUC: the SWI model is 0.874, inferior to the performance of the SWI + CTP model, and the CTP model is 0.715. Conclusion The prediction efficiency of the changing trend of infarction volume is further improved by the correlation between the combination of the two image features.
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Affiliation(s)
- Guoqing Wu
- Department of Electronic Engineering, Fudan University, Shanghai, China
| | - Hao Wang
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xiaojun Ma
- Department of Laboratory Medicine, Minhang Hospital, Fudan University, Shanghai, China
| | - Huanyin Li
- Department of Laboratory Medicine, Minhang Hospital, Fudan University, Shanghai, China
| | - Bin Song
- Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China
| | - Jing Zhao
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
| | - Xin Wang
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jixian Lin
- Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China
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Sun W, Liu SH, Wei XJ, Sun H, Ma ZW, Yu XF. Potential of neuroimaging as a biomarker in amyotrophic lateral sclerosis: from structure to metabolism. J Neurol 2024; 271:2238-2257. [PMID: 38367047 DOI: 10.1007/s00415-024-12201-x] [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: 11/18/2023] [Revised: 01/14/2024] [Accepted: 01/16/2024] [Indexed: 02/19/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by motor neuron degeneration. The development of ALS involves metabolite alterations leading to tissue lesions in the nervous system. Recent advances in neuroimaging have significantly improved our understanding of the underlying pathophysiology of ALS, with findings supporting the corticoefferent axonal disease progression theory. Current studies on neuroimaging in ALS have demonstrated inconsistencies, which may be due to small sample sizes, insufficient statistical power, overinterpretation of findings, and the inherent heterogeneity of ALS. Deriving meaningful conclusions solely from individual imaging metrics in ALS studies remains challenging, and integrating multimodal imaging techniques shows promise for detecting valuable ALS biomarkers. In addition to giving an overview of the principles and techniques of different neuroimaging modalities, this review describes the potential of neuroimaging biomarkers in the diagnosis and prognostication of ALS. We provide an insight into the underlying pathology, highlighting the need for standardized protocols and multicenter collaborations to advance ALS research.
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Affiliation(s)
- Wei Sun
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Si-Han Liu
- Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Xiao-Jing Wei
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Hui Sun
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Zhen-Wei Ma
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China
| | - Xue-Fan Yu
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, 130021, China.
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Li C, Buch S, Sun Z, Muccio M, Jiang L, Chen Y, Haacke EM, Zhang J, Wisniewski TM, Ge Y. In vivo mapping of hippocampal venous vasculature and oxygenation using susceptibility imaging at 7T. Neuroimage 2024; 291:120597. [PMID: 38554779 PMCID: PMC11115460 DOI: 10.1016/j.neuroimage.2024.120597] [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: 09/12/2023] [Revised: 03/19/2024] [Accepted: 03/28/2024] [Indexed: 04/02/2024] Open
Abstract
Mapping the small venous vasculature of the hippocampus in vivo is crucial for understanding how functional changes of hippocampus evolve with age. Oxygen utilization in the hippocampus could serve as a sensitive biomarker for early degenerative changes, surpassing hippocampal tissue atrophy as the main source of information regarding tissue degeneration. Using an ultrahigh field (7T) susceptibility-weighted imaging (SWI) sequence, it is possible to capture oxygen-level dependent contrast of submillimeter-sized vessels. Moreover, the quantitative susceptibility mapping (QSM) results derived from SWI data allow for the simultaneous estimation of venous oxygenation levels, thereby enhancing the understanding of hippocampal function. In this study, we proposed two potential imaging markers in a cohort of 19 healthy volunteers aged between 20 and 74 years. These markers were: 1) hippocampal venous density on SWI images and 2) venous susceptibility (Δχvein) in the hippocampus-associated draining veins (the inferior ventricular veins (IVV) and the basal veins of Rosenthal (BVR) using QSM images). They were chosen specifically to help characterize the oxygen utilization of the human hippocampus and medial temporal lobe (MTL). As part of the analysis, we demonstrated the feasibility of measuring hippocampal venous density and Δχvein in the IVV and BVR at 7T with high spatial resolution (0.25 × 0.25 × 1 mm3). Our results demonstrated the in vivo reconstruction of the hippocampal venous system, providing initial evidence regarding the presence of the venous arch structure within the hippocampus. Furthermore, we evaluated the age effect of the two quantitative estimates and observed a significant increase in Δχvein for the IVV with age (p=0.006, r2 = 0.369). This may suggest the potential application of Δχvein in IVV as a marker for assessing changes in atrophy-related hippocampal oxygen utilization in normal aging and neurodegenerative diseases such as AD and dementia.
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Affiliation(s)
- Chenyang Li
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA
| | - Sagar Buch
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Zhe Sun
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA; Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA
| | - Marco Muccio
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA
| | - Li Jiang
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA
| | - Yongsheng Chen
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - E Mark Haacke
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA; Department of Radiology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Jiangyang Zhang
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Yulin Ge
- Department of Radiology, Center for Biomedical Imaging, NYU Grossman School of Medicine, New York, NY, USA.
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De A, Grenier J, Wilman AH. Simultaneous time-of-flight MR angiography and quantitative susceptibility mapping with key time-of-flight features. NMR IN BIOMEDICINE 2024; 37:e5079. [PMID: 38054247 DOI: 10.1002/nbm.5079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 10/30/2023] [Accepted: 11/05/2023] [Indexed: 12/07/2023]
Abstract
A technique for combined time-of-flight (TOF) MR angiography (MRA) and quantitative susceptibility mapping (QSM) was developed with key features of standard three-dimensional (3D) TOF acquisitions, including multiple overlapping thin slab acquisition (MOTSA), ramped RF excitation, and venous saturation. The developed triple-echo 3D TOF-QSM sequence enabled TOF-MRA, susceptibility-weighted imaging (SWI), QSM, and R2* mapping. The effects of ramped RF, resolution, flip angle, venous saturation, and MOTSA were studied on QSM. Six volunteers were scanned at 3 T with the developed sequence, conventional TOF-MRA, and conventional SWI. Quantitative comparison of susceptibility values on QSM and normalized arterial and venous vessel-to-background contrasts on TOF and SWI were performed. The ramped RF excitation created an inherent phase variation in the raw phase. A generic correction factor was computed to remove the phase variation to obtain QSM without artifacts from the TOF-QSM sequence. No statistically significant difference was observed between the developed and standard QSM sequence for susceptibility values. However, maintaining standard TOF features led to compromises in signal-to-noise ratio for QSM and SWI, arising from the use of MOTSA rather than one large 3D slab, higher TOF spatial resolution, increased TOF background suppression due to larger flip angles, and reduced venous signal from venous saturation. In terms of vessel contrast, veins showed higher normalized contrast on SWI derived from TOF-QSM than the standard SWI sequence. While fast flowing arteries had reduced contrast compared with standard TOF-MRA, no statistical difference was observed for slow flowing arteries. Arterial contrast differences largely arise from the longer TR used in TOF-QSM over standard TOF-MRA to accommodate additional later echoes for SWI. In conclusion, although the sequence has a longer TR and slightly lower arterial contrast, provided an adequate correction is made for ramped RF excitation effects on phase, QSM may be performed from a multiecho sequence that includes all key TOF features, thus enabling simultaneous TOF-MRA, SWI, QSM, and R2* map computation.
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Affiliation(s)
- Ashmita De
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Justin Grenier
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Alan H Wilman
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
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Huang J, You L, Li M, Zhang J, Gao H. Value and significance of susceptibility weighted imaging and computed tomography diagnosis in clinical diagnosis of head trauma. Panminerva Med 2024; 66:96-97. [PMID: 37303151 DOI: 10.23736/s0031-0808.23.04891-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- Jincong Huang
- Department of Neurosurgery, The First Hospital in Quanzhou Affiliated to Fujian Medical University, Quanzhou, China
| | - Lingtong You
- Department of Neurosurgery, The First Hospital in Quanzhou Affiliated to Fujian Medical University, Quanzhou, China
| | - Mouyi Li
- Department of Neurosurgery, The First Hospital in Quanzhou Affiliated to Fujian Medical University, Quanzhou, China
| | - Jinning Zhang
- Department of Neurosurgery, The First Hospital in Quanzhou Affiliated to Fujian Medical University, Quanzhou, China
| | - Hongli Gao
- Department of Ultrasonography, Yongchuan Hospital of Chongqing Medical University, Chongqing, China -
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Kalchev E. Generalized Venous Prominence on Susceptibility-Weighted Imaging Correlates With Global Cerebral Blood Flow Decline. Cureus 2024; 16:e56272. [PMID: 38623126 PMCID: PMC11016990 DOI: 10.7759/cureus.56272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2024] [Indexed: 04/17/2024] Open
Abstract
Objective This study investigated the global correlation between cerebral blood flow (CBF) decline and increased venous prominence, utilizing arterial spin labeling (ASL) and susceptibility-weighted imaging (SWI) MRI techniques. Methods The study was conducted at the Department of Diagnostic Imaging, St. Marina University Hospital, Varna, Bulgaria. Through a retrospective analysis, we examined data from 115 patients undergoing neurological assessment. CBF decline was assessed through ASL MRI, while global venous visibility was evaluated using SWI MRI. Results The analysis revealed a significant positive correlation between CBF decline and venous prominence (Spearman's rho = 0.261, p = 0.005), indicating a systemic interaction between cerebral perfusion and the venous system. Logistic regression further underscored CBF decline as a significant predictive factor for increased venous visibility (odds ratio (OR) = 1.690, p = 0.004). The assessments' high inter-rater reliability (Cohen's kappa = 0.82) supports the consistency and validity of our findings. Conclusion The integration of ASL and SWI MRI provides critical insights into cerebral hemodynamics, emphasizing the significance of these imaging modalities in both neurovascular research and clinical practice. Our findings suggest a systemic relationship between CBF decline and venous system alterations, underscoring the potential for these techniques to enhance our understanding of neurovascular disorders. Future studies should pursue longitudinal and quantitative analyses to deepen our comprehension of these relationships and their clinical implications.
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Affiliation(s)
- Emilian Kalchev
- Diagnostic Imaging, University Hospital St. Marina, Varna, BGR
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Pan L, Chen M, Sun J, Jin P, Ding J, Cai P, Chen J, Xing W. Prediction of Fuhrman grade of renal clear cell carcinoma by multimodal MRI radiomics: a retrospective study. Clin Radiol 2024; 79:e273-e281. [PMID: 38065776 DOI: 10.1016/j.crad.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/16/2023] [Accepted: 11/05/2023] [Indexed: 01/02/2024]
Abstract
AIM To explore the value of multimodal magnetic resonance imaging (MRI) radiomics combined with traditional radiologist-defined semantic characteristics and conventional (cMRI) and functional MRI (fMRI) texture features in predicting Fuhrman grade of clear cell renal cell carcinoma (ccRCC). MATERIALS AND METHODS The data of 89 patients with histopathologically proven ccRCC (low-grade, 54; high-grade, 35) were collected. Texture features were extracted from cMRI (T1- and T2-weighted imaging) and fMRI (Dixon-MRI; blood-oxygen-level dependent [BOLD]-MRI; and susceptibility-weighted imaging [SWI]) images, and the traditional characteristics (TC) were evaluated. Logistic regression analysis was performed to develop models based on TC, cMRI, and fMRI texture features for grading. Receiver operating characteristic (ROC) curve analysis and leave-group-out cross-validation (LGOCV) were performed to test the reliability of combined models. RESULTS Two T2-weighted imaging-based, two Dixon_W-based, one Dixon_F-based, one BOLD-based, and three SWI-based texture features, and three TC were extracted for feature selection. TC, cMRI, fMRI, cMRI+fMRI, cMRI+TC, fMRI+TC, and cMRI+fMRI+TC models were constructed. The AUC of the cMRI+fMRI+TC model for differentiating high- from low-grade ccRCC was 0.74, with 81.42% accuracy, 75.93% sensitivity, and 91.43% specificity. The fMRI+TC model exhibited a performance similar to that of the cMRI+fMRI+TC model (p>0.05). The areas under the curve (AUCs) of the fMRI+TC and cMRI+fMRI+TC models were significantly higher than those of the other five models (all p<0.05). For the cMRI+fMRI+TC model, the mean accuracy was 85.40% after 100 LGOCV for the test sets. CONCLUSION Multimodal MRI radiomics combined with TC, cMRI, and fMRI texture features may be a reliable quantitative approach for differentiating high-grade ccRCC from low-grade ccRCC.
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Affiliation(s)
- L Pan
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China
| | - M Chen
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China
| | - J Sun
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China
| | - P Jin
- Department of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, China
| | - J Ding
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China
| | - P Cai
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China
| | - J Chen
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China.
| | - W Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou 213003, Jiangsu, China.
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Feng Q, Yi J, Li T, Liang B, Xu F, Peng P. Narrative review of magnetic resonance imaging in quantifying liver iron load. Front Med (Lausanne) 2024; 11:1321513. [PMID: 38362538 PMCID: PMC10867177 DOI: 10.3389/fmed.2024.1321513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 01/18/2024] [Indexed: 02/17/2024] Open
Abstract
Objective To summarize the research progress of magnetic resonance imaging (MRI) in quantifying liver iron load. Methods To summarize the current status and progress of MRI technology in the quantitative study of liver iron load through reviewing the relevant literature at home and abroad. Results Different MRI sequence examination techniques have formed a series of non-invasive methods for the examination of liver iron load. These techniques have important clinical significance in the imaging diagnosis of liver iron load. So far, the main MRI methods used to assess liver iron load are: signal intensity measurement method (signal intensity, SI) [signal intensity ratio (SIR) and difference in in-phase and out-of-phase signal intensity], T2/R2 measurement (such as FerriScan technique), ultra-short echo time (UTE) imaging technique, and susceptibility weighted imaging (including conventional susceptibility weighted imaging) (SWI), quantitative susceptibility mapping (QSM), T2*/R2* measurement, Dixon and its derivative techniques. Conclusion MRI has become the first choice for the non-invasive examination of liver iron overload, and it is helpful to improve the early detection of liver injury, liver fibrosis, liver cirrhosis and liver cancer caused by liver iron overload.
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Affiliation(s)
- Qing Feng
- Department of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Workers' Hospital, Liuzhou, China
| | - Jixing Yi
- Department of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Workers' Hospital, Liuzhou, China
| | - Tao Li
- Department of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Workers' Hospital, Liuzhou, China
| | - Bumin Liang
- School of International Education, Guangxi Medical University, Nanning, China
| | - Fengming Xu
- Department of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Workers' Hospital, Liuzhou, China
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Peng Peng
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Dhabalia R, Kashikar SV, Parihar PS, Mishra GV. Unveiling the Intricacies: A Comprehensive Review of Magnetic Resonance Imaging (MRI) Assessment of T2-Weighted Hyperintensities in the Neuroimaging Landscape. Cureus 2024; 16:e54808. [PMID: 38529430 PMCID: PMC10961652 DOI: 10.7759/cureus.54808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 02/24/2024] [Indexed: 03/27/2024] Open
Abstract
T2-weighted hyperintensities in neuroimaging represent areas of heightened signal intensity on magnetic resonance imaging (MRI) scans, holding crucial importance in neuroimaging. This comprehensive review explores the T2-weighted hyperintensities, providing insights into their definition, characteristics, clinical relevance, and underlying causes. It highlights the significance of these hyperintensities as sensitive markers for neurological disorders, including multiple sclerosis, vascular dementia, and brain tumors. The review also delves into advanced neuroimaging techniques, such as susceptibility-weighted and diffusion tensor imaging, and the application of artificial intelligence and machine learning in hyperintensities analysis. Furthermore, it outlines the challenges and pitfalls associated with their assessment and emphasizes the importance of standardized protocols and a multidisciplinary approach. The review discusses future directions for research and clinical practice, including the development of biomarkers, personalized medicine, and enhanced imaging techniques. Ultimately, the review underscores the profound impact of T2-weighted hyperintensities in shaping the landscape of neurological diagnosis, prognosis, and treatment, contributing to a deeper understanding of complex neurological conditions and guiding more informed and effective patient care.
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Affiliation(s)
- Rishabh Dhabalia
- Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Shivali V Kashikar
- Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Pratap S Parihar
- Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
| | - Gaurav V Mishra
- Radiodiagnosis, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, IND
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Sun Y, Yu C, Wang X, Yang R, Ding Z, Zhou Y. Establishment and Validation of the LI-RADS Morphologic Type II Hepatocellular Carcinoma Early Recurrence Risk Scoring System. J Gastrointest Surg 2023; 27:2787-2796. [PMID: 37932596 DOI: 10.1007/s11605-023-05873-9] [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: 07/25/2023] [Accepted: 10/14/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Tumor morphology links to early recurrence of hepatocellular carcinoma. Controversy exists regarding the recurrence risk of Liver Imaging Reporting and Data System morphologic Type II hepatocellular carcinoma. This study aims to explore risk factors for early recurrence of Type II hepatocellular carcinoma. METHODS Retrospective analysis of hepatocellular carcinoma patients who underwent curative resection and preoperative contrast-enhanced MRI from June 2016 to June 2020. Our patients formed the development set, and hepatocellular carcinoma patients from the TCIA database served as validation. Univariable and multivariable Cox regression identified independent risk factors for early recurrence. A risk scoring system was established for risk stratification, and an early recurrence prediction model was developed and validated. RESULTS 95 Type II hepatocellular carcinoma patients were in the development set, and 29 cases were in the validation set. Early recurrence rates were 33.7% and 37.9%, respectively. Multivariate analysis revealed age, histological grade, AFP, and intratumoral hemorrhage as independent risk factors for early recurrence. The model's diagnostic performance for early recurrence was AUC = 0.817 in the development set. A scoring system classified patients into low-risk (scores ≤ 3) and high-risk (scores > 3) groups. The high-risk group had significantly lower recurrence-free survival (40.0% vs 73.2%, P = 0.001), consistent with the validation set (25.0% vs 73.3%, P = 0.028). CONCLUSIONS The risk scoring system demonstrated excellent discrimination and predictive ability, aiding clinicians in assessing early recurrence risk and identifying high-risk individuals effectively.
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Affiliation(s)
- Yajuan Sun
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China
| | - Can Yu
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China
| | - Rui Yang
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China
| | - ZhiPeng Ding
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China
| | - Yang Zhou
- Department of Radiology, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, Heilongjiang Province, 150040, People's Republic of China.
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13
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Huang P, Chen K, Liu C, Zhen Z, Zhang R. Visualizing Cerebral Small Vessel Degeneration During Aging and Diseases Using Magnetic Resonance Imaging. J Magn Reson Imaging 2023; 58:1323-1337. [PMID: 37052571 DOI: 10.1002/jmri.28736] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 04/14/2023] Open
Abstract
Cerebral small vessel disease is a major contributor to brain disorders in older adults. It is associated with a much higher risk of stroke and dementia. Due to a lack of clinical and fluid biomarkers, diagnosing and grading small vessel disease are highly dependent on magnetic resonance imaging. In the past, researchers mostly used brain parenchymal imaging markers to represent small vessel damage, but the relationships between these surrogate markers and small vessel pathologies are complex. Recent progress in high-resolution magnetic resonance imaging methods, including time-of-flight MR angiography, phase-contrast MR angiography, black blood vessel wall imaging, susceptibility-weighted imaging, and contrast-enhanced methods, allow for direct visualization of cerebral small vessel structures. They could be powerful tools for understanding aging-related small vessel degeneration and improving disease diagnosis and treatment. This article will review progress in these imaging techniques and their application in aging and disease studies. Some challenges and future directions are also discussed. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: 3.
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Affiliation(s)
- Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kang Chen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhiming Zhen
- Department of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ruiting Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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14
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Dubois B, von Arnim CAF, Burnie N, Bozeat S, Cummings J. Biomarkers in Alzheimer's disease: role in early and differential diagnosis and recognition of atypical variants. Alzheimers Res Ther 2023; 15:175. [PMID: 37833762 PMCID: PMC10571241 DOI: 10.1186/s13195-023-01314-6] [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: 01/04/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Development of in vivo biomarkers has shifted the diagnosis of Alzheimer's disease (AD) from the later dementia stages of disease towards the earlier stages and has introduced the potential for pre-symptomatic diagnosis. The International Working Group recommends that AD diagnosis is restricted in the clinical setting to people with specific AD phenotypes and supportive biomarker findings. MAIN BODY In this review, we discuss the phenotypic presentation and use of biomarkers for the early diagnosis of typical and atypical AD and describe how this can support clinical decision making, benefit patient communication, and improve the patient journey. Early diagnosis is essential to optimize the benefits of available and emerging treatments. As atypical presentations of AD often mimic other dementias, differential diagnosis can be challenging and can be facilitated using AD biomarkers. However, AD biomarkers alone are not sufficient to confidently diagnose AD or predict disease progression and should be supplementary to clinical assessment to help inform the diagnosis of AD. CONCLUSIONS Use of AD biomarkers with incorporation of atypical AD phenotypes into diagnostic criteria will allow earlier diagnosis of patients with atypical clinical presentations that otherwise would have been misdiagnosed and treated inappropriately. Early diagnosis is essential to guide informed discussion, appropriate care and support, and individualized treatment. It is hoped that disease-modifying treatments will impact the underlying AD pathology; thus, determining the patient's AD phenotype will be a critical factor in guiding the therapeutic approach and the assessment of the effects of interventions.
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Affiliation(s)
- Bruno Dubois
- Assistance Publique-Hôpitaux de Paris (AP-HP), Memory and Alzheimer's Disease Institute, Sorbonne University, Paris, France
- Brain Institute, Sorbonne University, Paris, France
| | | | - Nerida Burnie
- General Practice, South West London CCG, London, UK
- London Dementia Clinical Network, London, UK
| | | | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Pam Quirk Brain Health and Biomarker Laboratory, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
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15
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Hsu CCT, Fomin I, Wray B, Brideaux A, Lyons D, Jaya Kumar M, Watkins T, Haacke EM, Krings T. Susceptibility weighted imaging for qualitative grading of persistent arteriovenous shunting in deep-seated arteriovenous malformations after stereotactic radiation surgery. Neuroradiol J 2023; 36:414-420. [PMID: 36411595 PMCID: PMC10588604 DOI: 10.1177/19714009221140536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND AND PURPOSE To investigate Susceptibility Weighted Imaging (SWI) signal changes in the draining vein of deep-seated arterio-venous malformations (AVMs) following stereotactic radiosurgery (SRS). METHODS AND MATERIALS This is a retrospective study of 32 patients with deep-seated AVMs who were treated with SRS. Pre-SRS treatment and post-SRS treatment MRI were performed at 6, 12, and 24-month intervals. Deep-seated AVMs were classified based on their anatomical location and venous drainage pattern. AVM nidal volume (cm3) was estimated using the ABC/2 method. AV shunting of the AVM draining veins were graded according to its SWI signal intensity: hyperintense (grade III), mixed signal intensity (grade II), hypointense (grade I) and absent (grade 0). Conventional time-of-flight (TOF)-MRA and contrast enhanced (CE)-MRA sequences were performed to document the patency of the vein. RESULTS Pre-SRS treatment AVM draining veins were either grade III 18/32 (56%) or grade II 14/32 (44%). Using mixed effects analysis, we demonstrate that each month following the SRS treatment nidal volumes decreased at the rate of 0.51 cm3/per month (CI -0.61 to (-0.40)) p =.00. Following the treatment, there was a clinically significant relationship between the signal and nidal volume: signal 0 corresponded with average nidal volume of 1.81 cm3 (CI 1.40-2.21), signal 1 with nidal volume of 2.06 cm3 (CI 1.69-2.44), signal 2 with nidal volume 2.73 cm3 (CI 2.35-3.11) and signal 3 with nidal volume 3.13 cm3 (CI 2.70-3.56) p = .00. CONCLUSION Post-SRS AVM draining veins shows a stepwise regression of the SWI signal grades which can be reliably used as a surrogate to monitor the reduction of AV shunting.
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Affiliation(s)
- Charlie Chia-Tsong Hsu
- Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
- Division of Neuroradiology, Lumus Imaging, Varsity Lakes, QLD, Australia
| | - Igor Fomin
- Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
| | - Bradley Wray
- Department of Medical Imaging, Queensland Xray, Greenslopes Private Hospital, Greenslopes, QLD, Australia
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Adam Brideaux
- Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
| | - Duncan Lyons
- Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Southport, QLD, Australia
| | - Mahendrah Jaya Kumar
- Department of Medical Imaging, Queensland Xray, Greenslopes Private Hospital, Greenslopes, QLD, Australia
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Trevor Watkins
- Department of Medical Imaging, Queensland Xray, Greenslopes Private Hospital, Greenslopes, QLD, Australia
- Department of Medical Imaging, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - E Mark Haacke
- Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, ON, Canada
| | - Timo Krings
- Department of Radiology, Wayne State University, Detroit, MI, USA
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16
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Hsu CCT, Sethi SK, Haacke EM. The Current State of Susceptibility-Weighted Imaging and Quantitative Susceptibility Mapping in Head Trauma. Neuroimaging Clin N Am 2023; 33:343-356. [PMID: 36965951 DOI: 10.1016/j.nic.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Susceptibility-weighted imaging (SWI) is a MR imaging technique suited to detect structural and microstructural abnormalities in traumatic brain injury (TBI). This review article provide an insight in to the physics principles of SWI and its clinical application in unraveling the complex interaction of the biophysical mechanisms of head injury. Literature evidences support SWI as the most ideal sequence in detection of microbleeds, which is the "tip of the iceberg" biomarker of microvascular injuries. The review also detailed the emerging advance techniques of Quantitative susceptibility mapping (QSM) and artificial intelligence offer the ability to detect and follow the evolution of microbleeds in patient with chronic TBI. These new techniques offers a unique insight into the acute and chronic state of TBI.
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Affiliation(s)
- Charlie Chia-Tsong Hsu
- Division of Neuroradiology, Department of Medical Imaging, Gold Coast University Hospital, Australia; Division of Neuroradiology, Lumus Imaging, Varsity Lakes Day Hospital, Gold Coast, Australia.
| | - Sean K Sethi
- Department of Radiology, Wayne State University School of Medicine
| | - E Mark Haacke
- Department of Radiology, Wayne State University School of Medicine; Department of Neurology, Wayne State University School of Medicine
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17
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Martínez M, Ariz M, Alvarez I, Castellanos G, Aguilar M, Hernández-Vara J, Caballol N, Garrido A, Bayés À, Vilas D, Marti MJ, Pastor P, de Solórzano CO, Pastor MA. Brainstem neuromelanin and iron MRI reveals a precise signature for idiopathic and LRRK2 Parkinson's disease. NPJ Parkinsons Dis 2023; 9:62. [PMID: 37061532 PMCID: PMC10105708 DOI: 10.1038/s41531-023-00503-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/24/2023] [Indexed: 04/17/2023] Open
Abstract
Neuromelanin (NM) loss in substantia nigra pars compacta (SNc) and locus coeruleus (LC) reflects neuronal death in Parkinson's disease (PD). Since genetically-determined PD shows varied clinical expressivity, we wanted to accurately quantify and locate brainstem NM and iron, to discover whether specific MRI patterns are linked to Leucine-rich repeat kinase 2 G2019S PD (LRRK2-PD) or idiopathic Parkinson's disease (iPD). A 3D automated MRI atlas-based segmentation pipeline (3D-ABSP) for NM/iron-sensitive MRI images topographically characterized the SNc, LC, and red nucleus (RN) neuronal loss and calculated NM/iron contrast ratio (CR) and normalized volume (nVol). Left-side NM nVol was larger in all groups. PD had lower NM CR and nVol in ventral-caudal SNc, whereas iron increased in lateral, medial-rostral, and caudal SNc. The SNc NM CR reduction was associated with psychiatric symptoms. LC CR and nVol discriminated better among subgroups: LRRK2-PD had similar LC NM CR and nVol as that of controls, and larger LC NM nVol and RN iron CR than iPD. PD showed higher iron SNc nVol than controls, especially among LRRK2-PD. ROC analyses showed an AUC > 0.92 for most pairwise subgroup comparisons, with SNc NM being the best discriminator between HC and PD. NM measures maintained their discriminator power considering the subgroup of PD patients with less than 5 years of disease duration. The SNc iron CR and nVol increase was associated with longer disease duration in PD patients. The 3D-ABSP sensitively identified NM and iron MRI patterns strongly correlated with phenotypic PD features.
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Affiliation(s)
- Martín Martínez
- Neuroimaging Laboratory, University of Navarra, School of Medicine, Pamplona, Spain
- School of Education and Psychology, University of Navarra, Pamplona, Spain
| | - Mikel Ariz
- Ciberonc and Solid Tumours and Biomarkers Program, CIMA University of Navarra, Pamplona, Spain
| | - Ignacio Alvarez
- Movement Disorders Unit, Neurology, University Hospital Mútua de Terrassa, Terrassa, Barcelona, Spain
| | - Gabriel Castellanos
- Department of Physiological Sciences, Facultad de Medicina, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Miquel Aguilar
- Movement Disorders Unit, Neurology, University Hospital Mútua de Terrassa, Terrassa, Barcelona, Spain
| | - Jorge Hernández-Vara
- Neurology Department, Hospital Universitari Vall D´Hebron, Neurodegenerative Diseases Research Group, Vall D'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Núria Caballol
- Department of Neurology, Complex Hospitalari Moisès Broggi, Sant Joan Despí, Barcelona, Spain
- Parkinson and Movement disorders Unit, Hospital Quirón-Teknon, Barcelona, Spain
| | - Alicia Garrido
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, IDIBAPS, CIBERNED, Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas: CB06/05/0018-ISCIII), ERN-RND Hospital Clínic i Provincial de Barcelona, Barcelona, Catalonia, Spain
- Department of Medicine & Institut de Neurociències of the University of Barcelona, Barcelona, Catalonia, Spain
| | - Àngels Bayés
- Parkinson and Movement disorders Unit, Hospital Quirón-Teknon, Barcelona, Spain
| | - Dolores Vilas
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol, Badalona, Spain
- Neurosciences, The Germans Trias i Pujol Research Institute (IGTP) Badalona, Badalona, Catalonia, Spain
| | - Maria Jose Marti
- Parkinson's Disease and Movement Disorders Unit, Neurology Service, IDIBAPS, CIBERNED, Centro de Investigación Biomédica en Red Sobre Enfermedades Neurodegenerativas: CB06/05/0018-ISCIII), ERN-RND Hospital Clínic i Provincial de Barcelona, Barcelona, Catalonia, Spain
- Department of Medicine & Institut de Neurociències of the University of Barcelona, Barcelona, Catalonia, Spain
| | - Pau Pastor
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol, Badalona, Spain.
- Neurosciences, The Germans Trias i Pujol Research Institute (IGTP) Badalona, Badalona, Catalonia, Spain.
| | | | - Maria A Pastor
- Neuroimaging Laboratory, University of Navarra, School of Medicine, Pamplona, Spain.
- Neurosciences, School of Medicine, University of Navarra, Pamplona, Spain.
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18
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Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. Cognit Comput 2022. [DOI: 10.1007/s12559-022-10095-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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19
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Tsujimura K, Shiohama T, Takahashi E. microRNA Biology on Brain Development and Neuroimaging Approach. Brain Sci 2022; 12:brainsci12101366. [PMID: 36291300 PMCID: PMC9599180 DOI: 10.3390/brainsci12101366] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 11/22/2022] Open
Abstract
Proper brain development requires the precise coordination and orchestration of various molecular and cellular processes and dysregulation of these processes can lead to neurological diseases. In the past decades, post-transcriptional regulation of gene expression has been shown to contribute to various aspects of brain development and function in the central nervous system. MicroRNAs (miRNAs), short non-coding RNAs, are emerging as crucial players in post-transcriptional gene regulation in a variety of tissues, such as the nervous system. In recent years, miRNAs have been implicated in multiple aspects of brain development, including neurogenesis, migration, axon and dendrite formation, and synaptogenesis. Moreover, altered expression and dysregulation of miRNAs have been linked to neurodevelopmental and psychiatric disorders. Magnetic resonance imaging (MRI) is a powerful imaging technology to obtain high-quality, detailed structural and functional information from the brains of human and animal models in a non-invasive manner. Because the spatial expression patterns of miRNAs in the brain, unlike those of DNA and RNA, remain largely unknown, a whole-brain imaging approach using MRI may be useful in revealing biological and pathological information about the brain affected by miRNAs. In this review, we highlight recent advancements in the research of miRNA-mediated modulation of neuronal processes that are important for brain development and their involvement in disease pathogenesis. Also, we overview each MRI technique, and its technological considerations, and discuss the applications of MRI techniques in miRNA research. This review aims to link miRNA biological study with MRI analytical technology and deepen our understanding of how miRNAs impact brain development and pathology of neurological diseases.
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Affiliation(s)
- Keita Tsujimura
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Group of Brain Function and Development, Nagoya University Neuroscience Institute of the Graduate School of Science, Nagoya 4648602, Japan
- Research Unit for Developmental Disorders, Institute for Advanced Research, Nagoya University, Nagoya 4648602, Japan
- Correspondence: (K.T.); (E.T.)
| | - Tadashi Shiohama
- Department of Pediatrics, Chiba University Hospital, Chiba 2608677, Japan
| | - Emi Takahashi
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Correspondence: (K.T.); (E.T.)
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20
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Huang K, Liu J, Yun W, Cao Y, Zhang M. The role of asymmetrical prominent veins sign in early neurological deterioration of acute ischemic stroke patients. Front Neurol 2022; 13:860824. [PMID: 36046632 PMCID: PMC9420992 DOI: 10.3389/fneur.2022.860824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 07/04/2022] [Indexed: 12/04/2022] Open
Abstract
Background and purpose Asymmetrical prominent veins sign (APVS) often appears on susceptibility-weighted angiography (SWAN) images in patients with acute stroke. Early neurological deterioration (END) is highly correlated with survival prognosis in patients with ischemic stroke. This study sought to explore the relationship between APVS and END in patients with acute stroke. Methods The subjects retrospectively enrolled in this study were patients with acute ischemic stroke in the middle cerebral artery supply area. All patients underwent head MRI, including the SWAN sequence, within 7 days of stroke symptom onset. END was defined as clinical deterioration or recurrence within 72 h after ischemic stroke. The volume of infarction on diffusion-weighted imaging was measured. Univariate and multivariate analyses were used to analyze the relationship between APVS and END. Spearman correlation between APVS grades and infarct volume, white matter hyperintensity (WMH) volume, and offending vessel were also analyzed. Results A total of 157 patients with middle cerebral artery infarct between September 2018 and April 2020 were included in the study. APVS appeared on MRI in 84 of 157 patients, and 34 of 157 patients were diagnosed with END. In patients with END, the proportion of severe APVS was higher than in patients without END (P = 0.001, x2 = 14.659). Patients with END were older and had a larger volume of infarct and WMH than patients without END (all P < 0.05). After adjustments were made for related risk factors of END, the severity of APVS was still related to END (OR = 2.56, 95% CI, 1.38–4.75; P for trend = 0.003). Spearman correlation showed that APVS grades were positively related to infarct volume (r = 0.289, P < 0.001) and 3-month modified Rankin Scale score (r = 0.203, P = 0.011) and negatively related to offending vessels (r = −0.170, P = 0.034). Conclusion APVS may be an important predictor of END in patients with acute ischemic stroke.
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Affiliation(s)
| | - Jianfang Liu
- Department of Neurology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Wenwei Yun
- Department of Neurology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Yin Cao
- Department of Neurology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
- Yin Cao
| | - Min Zhang
- Department of Neurology, Changzhou No. 2 People's Hospital Affiliated to Nanjing Medical University, Changzhou, China
- *Correspondence: Min Zhang
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21
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Uchida Y, Kan H, Sakurai K, Oishi K, Matsukawa N. Quantitative susceptibility mapping as an imaging biomarker for Alzheimer’s disease: The expectations and limitations. Front Neurosci 2022; 16:938092. [PMID: 35992906 PMCID: PMC9389285 DOI: 10.3389/fnins.2022.938092] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/14/2022] [Indexed: 11/25/2022] Open
Abstract
Alzheimer’s disease (AD) is the most common type of dementia and a distressing diagnosis for individuals and caregivers. Researchers and clinical trials have mainly focused on β-amyloid plaques, which are hypothesized to be one of the most important factors for neurodegeneration in AD. Meanwhile, recent clinicopathological and radiological studies have shown closer associations of tau pathology rather than β-amyloid pathology with the onset and progression of Alzheimer’s symptoms. Toward a biological definition of biomarker-based research framework for AD, the 2018 National Institute on Aging–Alzheimer’s Association working group has updated the ATN classification system for stratifying disease status in accordance with relevant pathological biomarker profiles, such as cerebral β-amyloid deposition, hyperphosphorylated tau, and neurodegeneration. In addition, altered iron metabolism has been considered to interact with abnormal proteins related to AD pathology thorough generating oxidative stress, as some prior histochemical and histopathological studies supported this iron-mediated pathomechanism. Quantitative susceptibility mapping (QSM) has recently become more popular as a non-invasive magnetic resonance technique to quantify local tissue susceptibility with high spatial resolution, which is sensitive to the presence of iron. The association of cerebral susceptibility values with other pathological biomarkers for AD has been investigated using various QSM techniques; however, direct evidence of these associations remains elusive. In this review, we first briefly describe the principles of QSM. Second, we focus on a large variety of QSM applications, ranging from common applications, such as cerebral iron deposition, to more recent applications, such as the assessment of impaired myelination, quantification of venous oxygen saturation, and measurement of blood– brain barrier function in clinical settings for AD. Third, we mention the relationships among QSM, established biomarkers, and cognitive performance in AD. Finally, we discuss the role of QSM as an imaging biomarker as well as the expectations and limitations of clinically useful diagnostic and therapeutic implications for AD.
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Affiliation(s)
- Yuto Uchida
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- *Correspondence: Yuto Uchida,
| | - Hirohito Kan
- Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keita Sakurai
- Department of Radiology, National Center for Geriatrics and Gerontology, Ōbu, Japan
| | - Kenichi Oishi
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Noriyuki Matsukawa
- Department of Neurology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
- Noriyuki Matsukawa,
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22
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Zhang ZY, Jiang HR, Sun XR, Wang XC, Niu Q, Meng HX, Du JF, Yang GQ, Zhang H, Tan Y. Monitoring mild cognitive impairment of workers exposed to occupational aluminium based on quantitative susceptibility mapping. Clin Radiol 2022; 77:840-847. [PMID: 35817609 DOI: 10.1016/j.crad.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 05/28/2022] [Accepted: 06/08/2022] [Indexed: 11/19/2022]
Abstract
AIM To investigate the diagnostic value of quantitative susceptibility mapping (QSM) in mild cognitive impairment (MCI) of aluminium (Al) workers. MATERIALS AND METHODS The basic data of 53 workers in an Al factory were collected and divided into the MCI group and normal control (NC) group by Montreal Cognitive Assessment (MoCA) scores. All participants were tested for plasma Al concentration and had magnetic resonance imaging (MRI). The QSM values of many areas of the brain were delineated and measured. Independent two-sample t-tests or non-parametric tests were used to compare the parameter values between the two groups. Spearman's correlation analysis was performed between QSM values, MoCA scores, and plasma Al concentration. The receiver operating characteristic curve and z test were performed to assess diagnostic efficacy and the best parameter. RESULTS There was no difference in age and educational level. Plasma Al concentration of the MCI group was higher than that of NC group (p=0.057). QSM values of the left hippocampus, left dentate nucleus, right substantia nigra, and left putamen in MCI group were higher than that of NC group (p<0.05), and the left hippocampus had the best diagnostic efficacy. QSM values correlated negatively with MoCA scores. No correlation was found between QSM values and plasma Al concentration (p>0.05). CONCLUSION QSM might be a neuroimaging marker for the diagnosis of MCI. The left hippocampus showed the best diagnostic efficacy. Plasma Al concentration of the MCI group was higher than that of the NC group. A correlation between QSM and plasma Al concentration was not found.
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Affiliation(s)
- Z Y Zhang
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - H R Jiang
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - X R Sun
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - X C Wang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - Q Niu
- School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - H X Meng
- School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - J F Du
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - G Q Yang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - H Zhang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China.
| | - Y Tan
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China.
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23
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De A, Sun H, Emery DJ, Butcher KS, Wilman AH. Quantitative susceptibility-weighted imaging in presence of strong susceptibility sources: Application to hemorrhage. Magn Reson Imaging 2022; 92:224-231. [PMID: 35772582 DOI: 10.1016/j.mri.2022.06.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/13/2022] [Accepted: 06/23/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE To optimize quantitative susceptibility-weighted imaging also known as true susceptibility-weighted imaging (tSWI) for strong susceptibility sources like hemorrhage and compare to standard susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM). METHODS Ten patients with known intracerebral hemorrhage were scanned using a 3D SWI sequence. The magnitude and phase images were utilized to compute QSM, tSWI and SWI images. tSWI parameters including the upper threshold for creating susceptibility-weighted masks and the multiplication factor were optimized for hemorrhage depiction. Combined tSWI was also computed with independent optimized parameters for both veins and hemorrhagic regions. tSWI results were compared to SWI and QSM utilizing region-of-interest measurements, Pearson's correlation and Kruskal-Wallis test. RESULTS Fifteen hemorrhages were found, with mean susceptibility 0.81 ± 0.37 ppm. Unlike SWI which utilizes a phase mask, tSWI uses a mask computed from QSM. In tSWI, the weighted mask required an extended upper threshold far beyond the standard level for more effective visualization of hemorrhage texture. The upper threshold was set to the mean maximum susceptibility in the hemorrhagic region (3.24 ppm) with a multiplication factor of 2. The blooming effect, seen in SWI, was observed to be larger in hemorrhages with higher susceptibility values (r = 0.78, p < 0.001) with reduced blooming on tSWI. On SWI, 4 out of 15 hemorrhages showed phase wrap artifacts in the hemorrhagic region and all patients showed some phase wraps in the air-tissue interface near the auditory and frontal sinuses. These phase wrap artifacts were absent on tSWI. In hemorrhagic region, a higher correlation was observed between the actual susceptibility values and mean gray value for tSWI (r = -0.93, p < 0.001) than SWI (r = -0.87, p < 0.001). CONCLUSION In hemorrhage, tSWI minimizes both blooming effects and phase wrap artifacts observed in SWI. However, unlike SWI, tSWI requires an altered upper threshold for best hemorrhage depiction that greatly differs from the standard value. tSWI can be used as a complementary technique for visualizing hemorrhage along with SWI.
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Affiliation(s)
- Ashmita De
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada.
| | - Hongfu Sun
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
| | - Derek J Emery
- Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Canada
| | - Kenneth S Butcher
- Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Alan H Wilman
- Department of Biomedical Engineering, University of Alberta, Edmonton, Canada
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Patil S, Rossi R, Jabrah D, Doyle K. Detection, Diagnosis and Treatment of Acute Ischemic Stroke: Current and Future Perspectives. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:748949. [PMID: 35813155 PMCID: PMC9263220 DOI: 10.3389/fmedt.2022.748949] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 06/02/2022] [Indexed: 11/30/2022] Open
Abstract
Stroke is one of the leading causes of disability worldwide. Early diagnosis and treatment of stroke are important for better clinical outcome. Rapid and accurate diagnosis of stroke subtypes is critical. This review discusses the advantages and disadvantages of the current diagnostic and assessment techniques used in clinical practice, particularly for diagnosing acute ischemic stroke. Alternative techniques for rapid detection of stroke utilizing blood based biomarkers and novel portable devices employing imaging methods such as volumetric impedance phase-shift spectroscopy, microwave tomography and Doppler ultrasound are also discussed. Current therapeutic approaches for treating acute ischemic stroke using thrombolytic drugs and endovascular thrombectomy are discussed, with a focus on devices and approaches recently developed to treat large cranial vessel occlusions.
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Affiliation(s)
- Smita Patil
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland Galway, Galway, Ireland
- Department of Physiology, National University of Ireland Galway, Galway, Ireland
| | - Rosanna Rossi
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland Galway, Galway, Ireland
- Department of Physiology, National University of Ireland Galway, Galway, Ireland
| | - Duaa Jabrah
- Department of Physiology, National University of Ireland Galway, Galway, Ireland
| | - Karen Doyle
- CÚRAM, SFI Research Centre for Medical Devices, National University of Ireland Galway, Galway, Ireland
- Department of Physiology, National University of Ireland Galway, Galway, Ireland
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25
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Sadeghi Joni S, Gerami R, Akhondi N, Etemadi A, Fosouli M, Eghbal AF. Investigating the role of susceptibility weighted imaging for assessment of ischemic penumbra with respect to Venus blood flow in ischemic stroke patients. INTERNATIONAL JOURNAL OF PHYSIOLOGY, PATHOPHYSIOLOGY AND PHARMACOLOGY 2022; 14:200-205. [PMID: 35891933 PMCID: PMC9301177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Susceptibility weighted imaging can be used to study intracranial venous blood arteries based on the paramagnetic sensitivity of blood discharged by oxygen (SWI). Significant hypotensive drainage channels have been discovered in the ischemic tissue of the brain, which have been recognized by SWI. The compliance or non-compliance between the variation in venous drainage of ischemic brain tissue by SWI and diffusion limitation. MATERIAL AND METHODS This cross-sectional study was conducted in 2019 on 20 patients (15 men and 5 females) who were assigned to the Ghaem Hospital MRI Institute in Rasht, Iran. RESULTS Infarction has been detected in a total of 20 vascular regions. The caliber of the sulcal and intramedullary veins, on the other hand, was increased in 80 percent and 65 percent of the infarcted regions, respectively. In 45 percent of the vascular regions, a match between SWI and diffusion-weighted magnetic resonance imaging (DWI) was detected, mismatch was detected in two; follow-up revealed infarct progression. CONCLUSIONS Significant data on critically perfused cerebral cortex with possibility of infarction growth was focused on in elevated SWI investigations, contributing to SWI as a worthy MR implies that could be attached as complementary protocols to neuroimaging techniques for acute ischemia, according to the findings of this study.
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Affiliation(s)
- Saeid Sadeghi Joni
- Department of Radiology, Razi Hospital, Guilan University of Medical SciencesRasht, Iran
| | - Reza Gerami
- Department of Radiology, Faculty of Medicine, AJA University of Medical SciencesTehran, Iran
| | - Negin Akhondi
- Department of Radiology, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical SciencesTehran, Iran
| | - Ali Etemadi
- Faculty of Medicine, Shahid Beheshti University of Medical SciencesTehran, Iran
| | - Mahnaz Fosouli
- Department of Radiology, Isfahan University of Medical SciencesIsfahan, Iran
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26
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Kuriyama N, Koyama T, Ozaki E, Saito S, Ihara M, Matsui D, Watanabe I, Kondo M, Marunaka Y, Takada A, Akazawa K, Tomida S, Nagamitsu R, Miyatani F, Miyake M, Nakano E, Kobayashi D, Watanabe Y, Mizuno S, Maekawa M, Yoshida T, Nukaya Y, Mizuno T, Yamada K, Uehara R. Association Between Cerebral Microbleeds and Circulating Levels of Mid-Regional Pro-Adrenomedullin. J Alzheimers Dis 2022; 88:731-741. [DOI: 10.3233/jad-220195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Mid-regional pro-adrenomedullin (MR-proADM) is a novel biomarker for cognitive decline based on its association with cerebral small vessel disease (SVD). Cerebral microbleeds (MBs) are characteristic of SVD; however, a direct association between MR-proADM and MBs has not been explored. Objective: We aimed to examine whether circulating levels of MR-proADM are associated with the identification of MBs by brain magnetic resonance imaging (MRI) and whether this association could be linked with cognitive impairment. Methods: In total, 214 participants (mean age: 75.9 years) without history of cerebral infarction or dementia were prospectively enrolled. All participants underwent brain MRI, higher cognitive function testing, blood biochemistry evaluation, lifestyle examination, and blood MR-proADM measurement using a time-resolved amplified cryptate emission technology assay. For between-group comparisons, the participants were divided into two groups according to whether their levels of MR-proADM were normal (< 0.65 nmol/L) or high (≥0.65 nmol/L). Results: The mean MR-proADM level was 0.515±0.127 nmol/L. There were significant between-group differences in age, hypertension, and HbA1c levels (p < 0.05). In the high MR-proADM group, the MR-proADM level was associated with the identification of MBs on brain MR images and indications of mild cognitive impairment (MCI). In participants with ≥3 MBs and MCI, high MR-proADM levels remained a risk factor after multivariate adjustment (OR: 2.94; p < 0.05). Conclusion: High levels of MR-proADM may be a surrogate marker for the early detection of cognitive decline associated with the formation of cerebral MBs. This marker would be valuable during routine clinical examinations of geriatric patients.
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Affiliation(s)
- Nagato Kuriyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Social Health Medicine, Shizuoka Graduate University of Public Health
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoshi Saito
- Department of Stroke and Cerebrovascular Diseases, Division of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Masafumi Ihara
- Department of Stroke and Cerebrovascular Diseases, Division of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Daisuke Matsui
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Watanabe
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masaki Kondo
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshinori Marunaka
- Medical Research Institute, Kyoto Industrial Health Association, Kyoto, Japan
- Research Center for Drug Discovery and Pharmaceutical Development Science, Research Organization of Science and Technology, Ritsumeikan University, Kusatsu, Japan
| | - Akihiro Takada
- Medical Research Institute, Kyoto Industrial Health Association, Kyoto, Japan
| | - Kentaro Akazawa
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Reo Nagamitsu
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Fumitaro Miyatani
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masahiro Miyake
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Eri Nakano
- Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Daiki Kobayashi
- Division of General Internal Medicine, Department of Medicine, St. Luke’s International Hospital, Tokyo, Japan
| | - Yoshiyuki Watanabe
- Faculty of Health and Medical Sciences, Kyoto University of Advanced Science
| | - Shigeto Mizuno
- Department of Endoscopy, Kindai University Nara Hospital, Nara Prefecture, Japan
| | - Mizuho Maekawa
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tamami Yoshida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yukiko Nukaya
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toshiki Mizuno
- Department of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Ritei Uehara
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Chai C, Wu M, Wang H, Cheng Y, Zhang S, Zhang K, Shen W, Liu Z, Xia S. CAU-Net: A Deep Learning Method for Deep Gray Matter Nuclei Segmentation. Front Neurosci 2022; 16:918623. [PMID: 35720705 PMCID: PMC9204516 DOI: 10.3389/fnins.2022.918623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/03/2022] [Indexed: 12/04/2022] Open
Abstract
The abnormal iron deposition of the deep gray matter nuclei is related to many neurological diseases. With the quantitative susceptibility mapping (QSM) technique, it is possible to quantitatively measure the brain iron content in vivo. To assess the magnetic susceptibility of the deep gray matter nuclei in the QSM, it is mandatory to segment the nuclei of interest first, and many automatic methods have been proposed in the literature. This study proposed a contrast attention U-Net for nuclei segmentation and evaluated its performance on two datasets acquired using different sequences with different parameters from different MRI devices. Experimental results revealed that our proposed method was superior on both datasets over other commonly adopted network structures. The impacts of training and inference strategies were also discussed, which showed that adopting test time augmentation during the inference stage can impose an obvious improvement. At the training stage, our results indicated that sufficient data augmentation, deep supervision, and nonuniform patch sampling contributed significantly to improving the segmentation accuracy, which indicated that appropriate choices of training and inference strategies were at least as important as designing more advanced network structures.
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Affiliation(s)
- Chao Chai
- Department of Radiology, Tianjin Institute of Imaging Medicine, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Mengran Wu
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China
| | - Huiying Wang
- School of Medicine, Nankai University, Tianjin, China
| | - Yue Cheng
- Department of Radiology, Tianjin Institute of Imaging Medicine, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | | | - Kun Zhang
- Department of Radiology, Tianjin Institute of Imaging Medicine, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Wen Shen
- Department of Radiology, Tianjin Institute of Imaging Medicine, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | - Zhiyang Liu
- College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China
- Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology, Tianjin, China
- *Correspondence: Zhiyang Liu,
| | - Shuang Xia
- Department of Radiology, Tianjin Institute of Imaging Medicine, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
- Shuang Xia,
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Sundermann B, Billebaut B, Bauer J, Iacoban CG, Alykova O, Schülke C, Gerdes M, Kugel H, Neduvakkattu S, Bösenberg H, Mathys C. Practical Aspects of novel MRI Techniques in Neuroradiology: Part 1-3D Acquisitions, Dixon Techniques and Artefact Reduction. ROFO-FORTSCHR RONTG 2022; 194:1100-1108. [PMID: 35545104 DOI: 10.1055/a-1800-8692] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
BACKGROUND Recently introduced MRI techniques offer improved image quality and facilitate examinations of patients even when artefacts are expected. They pave the way for novel diagnostic imaging strategies in neuroradiology. These methods include improved 3D imaging, movement and metal artefact reduction techniques as well as Dixon techniques. METHODS Narrative review with an educational focus based on current literature research and practical experiences of different professions involved (physicians, MRI technologists/radiographers, physics/biomedical engineering). Different hardware manufacturers are considered. RESULTS AND CONCLUSIONS 3D FLAIR is an example of a versatile 3D Turbo Spin Echo sequence with broad applicability in routine brain protocols. It facilitates detection of smaller lesions and more precise measurements for follow-up imaging. It also offers high sensitivity for extracerebral lesions. 3D techniques are increasingly adopted for imaging arterial vessel walls, cerebrospinal fluid spaces and peripheral nerves. Improved hybrid-radial acquisitions are available for movement artefact reduction in a broad application spectrum. Novel susceptibility artefact reduction techniques for targeted application supplement previously established metal artefact reduction sequences. Most of these techniques can be further adapted to achieve the desired diagnostic performances. Dixon techniques allow for homogeneous fat suppression in transition areas and calculation of different image contrasts based on a single acquisition. KEY POINTS · 3D FLAIR can replace 2 D FLAIR for most brain imaging applications and can be a cornerstone of more precise and more widely applicable protocols.. · Further 3D TSE sequences are increasingly replacing 2D TSE sequences for specific applications.. · Improvement of artefact reduction techniques increase the potential for effective diagnostic MRI exams despite movement or near metal implants.. · Dixon techniques facilitate homogeneous fat suppression and simultaneous acquisition of multiple contrasts.. CITATION FORMAT · Sundermann B, Billebaut B, Bauer J et al. Practical Aspects of novel MRI Techniques in Neuroradiology: Part 1-3D Acquisitions, Dixon Techniques and Artefact Reduction. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1800-8692.
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Affiliation(s)
- Benedikt Sundermann
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany.,Research Center Neurosensory Science, University of Oldenburg, Germany.,Clinic for Radiology, University Hospital Münster, Germany
| | - Benoit Billebaut
- Clinic for Radiology, University Hospital Münster, Germany.,School for Radiologic Technologists, University Hospital Münster, Germany
| | - Jochen Bauer
- Clinic for Radiology, University Hospital Münster, Germany
| | - Catalin George Iacoban
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany
| | - Olga Alykova
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany
| | | | - Maike Gerdes
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany
| | - Harald Kugel
- Clinic for Radiology, University Hospital Münster, Germany
| | | | - Holger Bösenberg
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany
| | - Christian Mathys
- Institute of Radiology and Neuroradiology, Evangelisches Krankenhaus, Medical Campus University of Oldenburg, Germany.,Research Center Neurosensory Science, University of Oldenburg, Germany.,Department of Diagnostic and Interventional Radiology, University of Düsseldorf, Germany
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29
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Zehra U, Tryfonidou M, Iatridis JC, Illien-Jünger S, Mwale F, Samartzis D. Mechanisms and clinical implications of intervertebral disc calcification. Nat Rev Rheumatol 2022; 18:352-362. [DOI: 10.1038/s41584-022-00783-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2022] [Indexed: 12/19/2022]
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30
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Zhang X. Editorial for "Cerebral Microbleeds Are Associated With Increased Brain Iron and Cognitive Impairment in Patients With Cerebral Small Vessel Disease-A Quantitative Susceptibility Mapping Study". J Magn Reson Imaging 2022; 56:915-916. [PMID: 35266594 DOI: 10.1002/jmri.28148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- Xiaodong Zhang
- Yerkes Imaging Center and Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA
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31
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Lu Z, Li J, Wang C, Ge R, Chen L, He H, Shi J. S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. IEEE J Biomed Health Inform 2022; 26:3938-3949. [PMID: 35254999 DOI: 10.1109/jbhi.2022.3156548] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Susceptibility weighted imaging (SWI) is a routine magnetic resonance imaging (MRI) sequence that combines the magnitude and high-pass filtered phase images to qualitatively enhance the image contrasts related to tissue susceptibility. Tremendous amounts of the high-pass filtered phase data with low signal to noise ratio and incomplete background field removal have thus been collected under default clinical settings. Since SWI cannot quantitatively estimate the susceptibility, it is thus non-trivial to derive quantitative susceptibility mapping (QSM) directly from these redundant phase data, which effectively promotes the mining of the SWI data collected previously and even provides potentials for synchronous imaging of both SWI and QSM based on single SWI scanning in future. To this end, a novel deep learning based SWI-to-QSM-Net (S2Q-Net) is proposed for QSM reconstruction from SWI high-pass filtered phase data. S2Q-Net firstly estimates the edge maps of QSM to integrate edge prior into features, which benefits the network to reconstruct QSM with realistic and clear tissue boundaries. Furthermore, a novel Second-order Cross Dense Block is proposed in S2Q-Net, which can capture rich inter-region interactions to provide rich non-local phase information related to local tissue susceptibility. Experimental results on both simulated and in-vivo datasets demonstrate its superiority over all the compared QSM reconstruction methods, including conventional methods and the state-of-the-art DL-based algorithms. Our results suggest the potentials of S2Q-Net to reconstruct promising QSM from the high-pass filtered phase obtained in clinical SWI sequences.
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32
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Ding J, Duan Y, Wang M, Yuan Y, Zhuo Z, Gan L, Song Q, Gao B, Yang L, Liu H, Hou Y, Zheng F, Chen R, Wang J, Lin L, Zhang B, Zhang G, Liu Y. Acceleration of Brain Susceptibility-Weighted Imaging with Compressed Sensitivity Encoding: A Prospective Multicenter Study. AJNR Am J Neuroradiol 2022; 43:402-409. [PMID: 35241421 PMCID: PMC8910792 DOI: 10.3174/ajnr.a7441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/17/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE While three-dimensional susceptibility-weighted imaging has been widely suggested for intracranial vessel imaging, hemorrhage detection, and other neuro-diseases, its relatively long scan time has necessitated the clinical verification of recent progresses of fast imaging techniques. Our aim was to evaluate the effectiveness of brain SWI accelerated by compressed sensitivity encoding to identify the optimal acceleration factors for clinical practice. MATERIALS AND METHODS Ninety-nine subjects, prospectively enrolled from 5 centers, underwent 8 brain SWI sequences: 5 different folds of compressed sensitivity encoding acceleration (CS2, CS4, CS6, CS8, and CS10), 2 different folds of sensitivity encoding acceleration (SF2 and SF4), and 1 without acceleration. Images were assessed quantitatively on both the SNR of the red nucleus and its contrast ratio to the CSF and, subjectively, with scoring on overall image quality; visibility of the substantia nigra-red nucleus, basilar artery, and internal cerebral vein; and diagnostic confidence of the cerebral microbleeds and other intracranial diseases. RESULTS Compressed sensitivity encoding showed a promising ability to reduce the acquisition time (from 202 to 41 seconds) of SWI while increasing the acceleration factor from 2 to 10, though at the cost of decreasing the SNR, contrast ratio, and the scores of visual assessments. The visibility of the substantia nigra-red nucleus and internal cerebral vein became unacceptable in CS6 to CS10. The basilar artery was well-distinguished, and diseases including cerebral microbleeds, cavernous angiomas, intracranial gliomas, venous malformations, and subacute hemorrhage were well-diagnosed in all compressed sensitivity encoding sequences. CONCLUSIONS Compressed sensitivity encoding factor 4 is recommended in routine practice. Compressed sensitivity encoding factor 10 is potentially a fast surrogate for distinguishing the basilar artery and detecting susceptibility-related abnormalities (eg, cerebral microbleeds, cavernous angiomas, gliomas, and venous malformation) at the sacrifice of visualization of the substantia nigra-red nucleus and internal cerebral vein.
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Affiliation(s)
- J. Ding
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Y. Duan
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - M. Wang
- Department of Radiology (M.W., B.Z.), The Affiliated Drum Tower Hospital of Nanjing UniversityMedical School, Jiangsu, China
| | - Y. Yuan
- Department of Radiology (Y.Y., G.Z.), Beijing Royal Integrative Medicine Hospital, Beijing, China
| | - Z. Zhuo
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - L. Gan
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Q. Song
- Department of Radiology (Q.S., B.G.), First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - B. Gao
- Department of Radiology (Q.S., B.G.), First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - L. Yang
- Department of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China
| | - H. Liu
- Department of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China
| | - Y. Hou
- Department of Radiology (L.Y., H.L., Y.H.), Shengjing Hospital of ChinaMedical University, Shenyang, China
| | - F. Zheng
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - R. Chen
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - J. Wang
- Philips Healthcare (J.W., L.L.), Beijing, China
| | - L. Lin
- Philips Healthcare (J.W., L.L.), Beijing, China
| | - B. Zhang
- Department of Radiology (M.W., B.Z.), The Affiliated Drum Tower Hospital of Nanjing UniversityMedical School, Jiangsu, China
| | - G. Zhang
- Department of Radiology (Y.Y., G.Z.), Beijing Royal Integrative Medicine Hospital, Beijing, China
| | - Y. Liu
- From the Department of Radiology (J.D., Y.D., Z.Z., L.G., F.Z., R.C., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Duan C, Xiong Y, Cheng K, Xiao S, Lyu J, Wang C, Bian X, Zhang J, Zhang D, Chen L, Zhou X, Lou X. Accelerating susceptibility-weighted imaging with deep learning by complex-valued convolutional neural network (ComplexNet): validation in clinical brain imaging. Eur Radiol 2022; 32:5679-5687. [PMID: 35182203 DOI: 10.1007/s00330-022-08638-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 12/15/2021] [Accepted: 01/11/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Susceptibility-weighted imaging (SWI) is crucial for the characterization of intracranial hemorrhage and mineralization, but has the drawback of long acquisition times. We aimed to propose a deep learning model to accelerate SWI, and evaluate the clinical feasibility of this approach. METHODS A complex-valued convolutional neural network (ComplexNet) was developed to reconstruct high-quality SWI from highly accelerated k-space data. ComplexNet can leverage the inherently complex-valued nature of SWI data and learn richer representations by using complex-valued network. SWI data were acquired from 117 participants who underwent clinical brain MRI examination between 2019 and 2021, including patients with tumor, stroke, hemorrhage, traumatic brain injury, etc. Reconstruction quality was evaluated using quantitative image metrics and image quality scores, including overall image quality, signal-to-noise ratio, sharpness, and artifacts. RESULTS The average reconstruction time of ComplexNet was 19 ms per section (1.33 s per participant). ComplexNet achieved significantly improved quantitative image metrics compared to a conventional compressed sensing method and a real-valued network with acceleration rates of 5 and 8 (p < 0.001). Meanwhile, there was no significant difference between fully sampled and ComplexNet approaches in terms of overall image quality and artifacts (p > 0.05) at both acceleration rates. Furthermore, ComplexNet showed comparable diagnostic performance to the fully sampled SWI for visualizing a wide range of pathology, including hemorrhage, cerebral microbleeds, and brain tumor. CONCLUSIONS ComplexNet can effectively accelerate SWI while providing superior performance in terms of overall image quality and visualization of pathology for routine clinical brain imaging. KEY POINTS • The complex-valued convolutional neural network (ComplexNet) allowed fast and high-quality reconstruction of highly accelerated SWI data, with an average reconstruction time of 19 ms per section. • ComplexNet achieved significantly improved quantitative image metrics compared to a conventional compressed sensing method and a real-valued network with acceleration rates of 5 and 8 (p < 0.001). • ComplexNet showed comparable diagnostic performance to the fully sampled SWI for visualizing a wide range of pathology, including hemorrhage, cerebral microbleeds, and brain tumor.
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Affiliation(s)
- Caohui Duan
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Yongqin Xiong
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Kun Cheng
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Sa Xiao
- Department of Neurosurgery, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Jinhao Lyu
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Cheng Wang
- Department of Neurosurgery, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Xiangbing Bian
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Jing Zhang
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Dekang Zhang
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Ling Chen
- Department of Neurosurgery, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Xin Zhou
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Wuhan, 430071, People's Republic of China
| | - Xin Lou
- Department of Radiology, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
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Ye Y, Lyu J, Hu Y, Zhang Z, Xu J, Zhang W. MULTI-parametric MR imaging with fLEXible design (MULTIPLEX). Magn Reson Med 2022; 87:658-673. [PMID: 34464011 DOI: 10.1002/mrm.28999] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/17/2021] [Accepted: 08/18/2021] [Indexed: 11/10/2022]
Abstract
PURPOSE To introduce a gradient echo (GRE) -based method, namely MULTIPLEX, for single-scan 3D multi-parametric MRI with high resolution, signal-to-noise ratio (SNR), accuracy, efficiency, and acquisition flexibility. THEORY With a comprehensive design with dual-repetition time (TR), dual flip angle (FA), multi-echo, and optional flow modulation features, the MULTIPLEX signals contain information on radiofrequency (RF) B1t fields, proton density, T1 , susceptibility and blood flows, facilitating multiple qualitative images and parametric maps. METHODS MULTIPLEX was evaluated on system phantom and human brains, via visual inspection for image contrasts and quality or quantitative evaluation via simulation, phantom scans and literature comparison. Region-of-interest (ROI) analysis was performed on parametric maps of the system phantom and brain scans, extracting the mean and SD of the T1 , T2∗ , proton density (PD), and/or quantitative susceptibility mapping (QSM) values for comparison with reference values or literature. RESULTS One MULTIPLEX scan offers multiple sets of images, including but not limited to: composited PDW/T1 W/ T2∗ W, aT1 W, SWI, MRA (optional), B1t map, T1 map, T2∗ / R2∗ maps, PD map, and QSM. The quantitative error of phantom T1 , T2∗ and PD mapping were <5%, and those in brain scans were in good agreement with literature. MULTIPLEX scan times for high resolution (0.68 × 0.68 × 2 mm3 ) whole brain coverage were about 7.5 min, while processing times were <1 min. With flow modulation, additional MRA images can be obtained without affecting the quality or accuracy of other images. CONCLUSION The proposed MUTLIPLEX method possesses great potential for multi-parametric MR imaging.
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Affiliation(s)
| | | | - Yichen Hu
- UIH America, Inc., Houston, Texas, USA
| | | | - Jian Xu
- UIH America, Inc., Houston, Texas, USA
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Abstract
It is around 20 years since the first commercial 3 T MRI systems became available. The theoretical promise of twice the signal-to-noise ratio of a 1.5 T system together with a greater sensitivity to magnetic susceptibility-related contrast mechanisms, such as the blood oxygen level dependent effect that is the basis for functional MRI, drove the initial market in neuroradiology. However, the limitations of the increased field strength soon became apparent, including the increased radiofrequency power deposition, tissue-dependent changes in relaxation times, increased artifacts, and greater safety concerns. Many of these issues are dependent upon MR physics and workarounds have had to be developed to try and mitigate their effects. This article reviews the underlying principles of the good, the bad and the ugly aspects of 3 T, discusses some of the methods used to improve image quality and explains the remaining challenges and concerns.
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Richie MB, Guterman EL, Shah MP, Cha S. Susceptibility-Weighted Imaging of Intravascular Lymphoma of the Central Nervous System. JAMA Neurol 2021; 79:86-87. [PMID: 34842897 DOI: 10.1001/jamaneurol.2021.4391] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Megan B Richie
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Elan L Guterman
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Maulik P Shah
- Department of Neurology, University of California, San Francisco, San Francisco
| | - Soonmee Cha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
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Keenan KE, Berman BP, Rýger S, Russek SE, Wang WT, Butman JA, Pham DL, Dagher J. Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom. Radiol Res Pract 2021; 2021:1898461. [PMID: 34868681 PMCID: PMC8635951 DOI: 10.1155/2021/1898461] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/08/2021] [Indexed: 11/17/2022] Open
Abstract
Quantitative Susceptibility Mapping (QSM) is an MRI tool with the potential to reveal pathological changes from magnetic susceptibility measurements. Before phase data can be used to recover susceptibility (Δχ), the QSM process begins with two steps: data acquisition and phase estimation. We assess the performance of these steps, when applied without user intervention, on several variations of a phantom imaging task. We used a rotating-tube phantom with five tubes ranging from Δχ=0.05 ppm to Δχ=0.336 ppm. MRI data was acquired at nine angles of rotation for four different pulse sequences. The images were processed by 10 phase estimation algorithms including Laplacian, region-growing, branch-cut, temporal unwrapping, and maximum-likelihood methods, resulting in approximately 90 different combinations of data acquisition and phase estimation methods. We analyzed errors between measured and expected phases using the probability mass function and Cumulative Distribution Function. Repeatable acquisition and estimation methods were identified based on the probability of relative phase errors. For single-echo GRE and segmented EPI sequences, a region-growing method was most reliable with Pr (relative error <0.1) = 0.95 and 0.90, respectively. For multiecho sequences, a maximum-likelihood method was most reliable with Pr (relative error <0.1) = 0.97. The most repeatable multiecho methods outperformed the most repeatable single-echo methods. We found a wide range of repeatability and reproducibility for off-the-shelf MRI acquisition and phase estimation approaches, and this variability may prevent the techniques from being widely integrated in clinical workflows. The error was dominated in many cases by spatially discontinuous phase unwrapping errors. Any postprocessing applied on erroneous phase estimates, such as QSM's background field removal and dipole inversion, would suffer from error propagation. Our paradigm identifies methods that yield consistent and accurate phase estimates that would ultimately yield consistent and accurate Δχ estimates.
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Affiliation(s)
- Kathryn E. Keenan
- National Institute of Standards and Technology, Physical Measurement Laboratory, 325 Broadway, Boulder, CO 80305, USA
| | - Ben P. Berman
- The MITRE Corporation, 7515 Colshire Dr, McLean, VA 22102, USA
| | - Slávka Rýger
- National Institute of Standards and Technology, Physical Measurement Laboratory, 325 Broadway, Boulder, CO 80305, USA
| | - Stephen E. Russek
- National Institute of Standards and Technology, Physical Measurement Laboratory, 325 Broadway, Boulder, CO 80305, USA
| | - Wen-Tung Wang
- Henry M. Jackson Foundation, 10 Center Drive, Bethesda, MD 20892, USA
| | - John A. Butman
- Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20814, USA
| | - Dzung L. Pham
- Henry M. Jackson Foundation, 10 Center Drive, Bethesda, MD 20892, USA
| | - Joseph Dagher
- The MITRE Corporation, 7515 Colshire Dr, McLean, VA 22102, USA
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Finkelstein D, Foremny G, Singer A, Clifford P, Pretell-Mazzini J, Kerr DA, Subhawong TK. Differential diagnosis of T2 hypointense masses in musculoskeletal MRI. Skeletal Radiol 2021; 50:1981-1994. [PMID: 33651128 DOI: 10.1007/s00256-021-03711-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 02/02/2023]
Abstract
Many soft tissue masses have an indeterminate appearance on MRI, often displaying varying degrees and extent of T2 hyperintensity. However, a subset of neoplasms and tumor-like lesions may exhibit prominent areas of T2 hypointensity relative to skeletal muscle. The hypointensity observed on T2-weighted MRI can be caused by a variety of substances, including evolving blood products, calcifications or other inorganic crystals, or fibrous tissue. Carefully evaluating the presence and pattern of T2 hypointensity in soft tissue masses and considering potential causes in their associated clinical contexts can help to narrow the differential diagnosis among neoplastic and non-neoplastic possibilities. These include endometriosis, aneurysmal bone cysts, tenosynovial giant cell tumor, arteriovenous malformation and pseudoaneurysm, calcium pyrophosphate and hydroxyapatite deposition diseases, tumoral calcinosis, gout, amyloidosis, hemangiomas with phleboliths, low-grade fibromyxoid sarcoma, ossifying fibromyxoid tumor, collagenous fibroma, desmoid-type fibromatosis, myxofibrosarcoma, peripheral nerve sheath tumors, dedifferentiated liposarcoma, and treated sarcoma.
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Affiliation(s)
- Dara Finkelstein
- Department of Radiology, University of Miami Miller School of Medicine/Jackson Memorial Hospital, 1611 NW 12th Ave, JMH WW 279, Miami, FL, 33136, USA
| | - Gregory Foremny
- Department of Radiology, University of Miami Miller School of Medicine/Jackson Memorial Hospital, 1611 NW 12th Ave, JMH WW 279, Miami, FL, 33136, USA
| | - Adam Singer
- Department of Radiology, Emory University Hospital, Atlanta, GA, 30322, USA
| | - Paul Clifford
- Department of Radiology, University of Miami Miller School of Medicine/Jackson Memorial Hospital, 1611 NW 12th Ave, JMH WW 279, Miami, FL, 33136, USA
| | - Juan Pretell-Mazzini
- Department of Orthopaedics, University of Miami Miller School of Medicine/Jackson Memorial Hospital, Miami, FL, 33136, USA
| | - Darcy A Kerr
- Department of Pathology, Geisel School of Medicine at Dartmouth, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA
| | - Ty K Subhawong
- Department of Radiology, University of Miami Miller School of Medicine/Jackson Memorial Hospital, 1611 NW 12th Ave, JMH WW 279, Miami, FL, 33136, USA.
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Eckstein K, Bachrata B, Hangel G, Widhalm G, Enzinger C, Barth M, Trattnig S, Robinson SD. Improved susceptibility weighted imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI. Neuroimage 2021; 237:118175. [PMID: 34000407 PMCID: PMC7612087 DOI: 10.1016/j.neuroimage.2021.118175] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/28/2021] [Accepted: 05/13/2021] [Indexed: 02/07/2023] Open
Abstract
Purpose Susceptibility Weighted Imaging (SWI) has become established in the clinical investigation of stroke, microbleeds, tumor vascularization, calcification and iron deposition, but suffers from a number of shortcomings and artefacts. The goal of this study was to reduce the sensitivity of SWI to strong B1 and B0 inhomogeneities at ultra-high field to generate homogeneous images with increased contrast and free of common artefacts. All steps in SWI processing have been addressed −coil combination, phase unwrapping, image combination over echoes, phase filtering and homogeneity correction −and applied to an efficient bipolar multi-echo acquisition to substantially improve the quality of SWI. Principal results Our findings regarding the optimal individual processing steps lead us to propose a Contrast-weighted, Laplace-unwrapped, bipolar multi-Echo, ASPIRE-combined, homogeneous, improved Resolution SWI, or CLEAR-SWI. CLEAR-SWI was compared to two other multi-echo SWI methods and standard, single-echo SWI with the same acquisition time at 7 T in 10 healthy volunteers and with single-echo SWI in 13 patients with brain tumors. CLEAR-SWI had improved contrast-to-noise and homogeneity, reduced signal dropout and was not compromised by the artefacts which affected standard SWI in 10 out of 13 cases close to tumors (as assessed by expert raters), as well as generating T2* maps and phase images which can be used for Quantitative Susceptibility Mapping. In a comparison with other multi-echo SWI methods, CLEAR-SWI had the fewest artefacts, highest SNR and generally higher contrast-to-noise. Major conclusions CLEAR-SWI eliminates the artefacts common in standard, single-echo SWI, reduces signal dropouts and improves image homogeneity and contrast-to-noise. Applied clinically, in a study of brain tumor patients, CLEAR-SWI was free of the artefacts which affected standard, single-echo SWI.
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Affiliation(s)
- Korbinian Eckstein
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Beata Bachrata
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria
| | - Gilbert Hangel
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Georg Widhalm
- Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | | | - Markus Barth
- School of Information Technology and Electrical Engineering, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Brisbane, Australia
| | - Siegfried Trattnig
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria
| | - Simon Daniel Robinson
- High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging, Vienna, Austria; Department of Neurology, Medical University of Graz, Graz, Austria; Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
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Truong M, Håkansson C, HaileMichael M, Svensson J, Lätt J, Markenroth Bloch K, Siemund R, Gonçalves I, Wassélius J. The potential role of T2*-weighted multi-echo data image combination as an imaging marker for intraplaque hemorrhage in carotid plaque imaging. BMC Med Imaging 2021; 21:121. [PMID: 34380454 PMCID: PMC8356411 DOI: 10.1186/s12880-021-00652-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/14/2021] [Indexed: 01/14/2023] Open
Abstract
Background Carotid atherosclerotic plaques with intraplaque hemorrhage (IPH) are associated with elevated stroke risk. IPH is predominantly imaged based on paramagnetic properties of the upstream hemoglobin degradation product methemoglobin. This is an explorative observational study to test the feasibility of a spoiled gradient echo based T2* weighted MRI sequence (3D MEDIC) for carotid plaque imaging, and to compare signs suggestive of the downstream degradation product hemosiderin on 3D MEDIC with signs of methemoglobin on a T1wBB sequence.
Methods Patients with recent TIA or stroke were selected based on the presence on non-calcified plaque components on CTA to promote an enriched prevalence of IPH in the material. Patients (n = 42) underwent 3T MRI with 3D MEDIC and 2D turbo spin echo T1w black blood (T1wBB). Images were independently evaluated by two neuroradiologists and Cohens Kappa was used for inter-reader agreement for each sequence. Results The technical feasibility for 3D MEDIC, was 34/42 patients (81%). Non-calcified plaque components with susceptibility effect without simultaneous T1-shortening—a combination suggestive of hemosiderin, was seen in 13/34 of the plaques. An equally large group display elevated T1w signal in combination with signal loss on 3D MEDIC, a combination suggestive of both hemosiderin and methemoglobin. Cohen’s kappa for inter-reader agreement was 0.64 (CI 0.345–0.925) for 3D MEDIC and 0.94 (CI 0.81–1.00) for T1wBB. Conclusions 3D MEDIC shows signal loss, without elevated T1w signal on T1wBB, in non-calcified tissue in many plaques in this group of patients. If further studies, including histological verification, confirm that the 3D MEDIC susceptibility effect is indeed caused by hemosiderin, 3D MEDIC could aid in the detection of IPH, beyond elevation of T1w signal.
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Affiliation(s)
- My Truong
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Claes Håkansson
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Makda HaileMichael
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | - Jonas Svensson
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Medical Radiation Physics, Department of Translational Medicine, Lund University , Lund, Sweden
| | - Jimmy Lätt
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden
| | | | - Roger Siemund
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Isabel Gonçalves
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Cardiology, Skåne University Hospital, Malmö , Sweden
| | - Johan Wassélius
- Department of Medical Imaging and Physiology, Skåne University Hospital, Lund, Sweden. .,Department of Clinical Sciences, Lund University, Lund, Sweden. .,Department of Radiology, Skåne University Hospital, 221 85, Lund, Sweden.
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Sun J, Pan L, Zha T, Xing W, Chen J, Duan S. The role of MRI texture analysis based on susceptibility-weighted imaging in predicting Fuhrman grade of clear cell renal cell carcinoma. Acta Radiol 2021; 62:1104-1111. [PMID: 32867506 DOI: 10.1177/0284185120951964] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The Fuhrman nuclear grade system is one of the most important independent indicators in patients with clear cell renal cell carcinoma (ccRCC) for aggressiveness and prognosis. Preoperative assessment of tumor aggressiveness is important for surgical decision-making. PURPOSE To explore the role of magnetic resonance imaging (MRI) texture analysis based on susceptibility-weighted imaging (SWI) in predicting Fuhrman grade of ccRCC. MATERIAL AND METHODS A total of 45 patients with SWI and surgically proven ccRCC were divided into two groups: the low-grade group (Fuhrman I/II, n = 29) and the high-grade group (Fuhrman III/IV, n = 16). Texture features were extracted from SWI images. Feature selection was performed, and multivariable logistic regression analysis was performed to develop the SWI-based texture model for grading ccRCCs. Receiver operating characteristic (ROC) curve analysis and leave-group-out cross-validation (LGOCV) were performed to test the reliability of the model. RESULTS A total of 396 SWI-based texture features were extracted from each SWI image. The SWI-based texture model developed by multivariable logistic regression analysis was: SWIscore = -0.59 + 1.60 * ZonePercentage. The area under the ROC curve of the SWI-based texture model for differentiating high-grade ccRCC from low-grade ccRCC was 0.81 (95% confidence interval 0.67-0.94), with 80% accuracy, 56.25% sensitivity, and 93.10% specificity. After 100 LGOCVs, the mean accuracy, sensitivity, and specificity were 90.91%, 91.83%, and 89.89% for the training sets, and 77.29%, 80.52%, and 71.44% for the test sets, respectively. CONCLUSION SWI-based texture analysis might be a reliable quantitative approach for differentiating high-grade ccRCC from low-grade ccRCC.
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Affiliation(s)
- Jun Sun
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, PR China
| | - Liang Pan
- GE Healthcare China, Shanghai, Shanghai, PR China
| | - Tingting Zha
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, PR China
| | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, PR China
| | - Jie Chen
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, PR China
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Wáng YXJ. Gender-specific liver aging and magnetic resonance imaging. Quant Imaging Med Surg 2021; 11:2893-2904. [PMID: 34249621 DOI: 10.21037/qims-21-227] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 04/15/2021] [Indexed: 12/14/2022]
Abstract
The number of imaging studies performed on elderly individuals will increase in the next several decades. It is important to understand normal age-related changes in the structural and functional imaging appearance of the liver. This article highlights a number of liver aging aspects which are particularly relevant to magnetic resonance imaging (MRI). Physiology of aging liver is associated with a reduction in size, in perfusion, and in function. Pulsed echo-Doppler showed substantial reduction of portal flow in elderly subjects, particularly those after the age of 75 years old. An MRI biomarker diffusion derived vessel density (DDVD) demonstrated that liver microperfusion volume in healthy females starts to decrease even before menopause age. Liver fat content and iron content increase with aging, and the change is more substantial in women after menopause. Adult men have higher liver fat and iron contents than women from the start and change less during aging. Nonalcoholic fatty liver disease (NAFLD) is very common among assumed healthy subjects. There is a male predominance of NAFLD from the paediatric population up to fifth decade of life in adults. After the age of 60 years, women overtake their male counterparts in prevalence of NAFLD. Higher liver fat leads to decreased apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-Dslow measures. Higher liver iron content shortens T2* measure, lower ADC and IVIM-Dslow measures, increases imaging noises and decreases liver visibility. Young women have high liver T1rho value and then decrease substantially, while liver T1rho in men remains relatively unchanged with aging. In positron emission tomography (PET) studies, aging is associated with an increase of both liver fluorine-18-fluorodeoxyglucose maximum standard uptake and mean standard uptake values.
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Affiliation(s)
- Yì Xiáng J Wáng
- Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong SAR, China
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Borgman CJ. Cranial nerve VI (Abducens nerve) paresis associated with pontine calcification. Clin Exp Optom 2021; 105:442-444. [PMID: 34151746 DOI: 10.1080/08164622.2021.1924630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Affiliation(s)
- Christopher J Borgman
- Advanced Care Ocular Disease Service, Southern College of Optometry, Memphis, TN, USA
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Gozt A, Hellewell S, Ward PGD, Bynevelt M, Fitzgerald M. Emerging Applications for Quantitative Susceptibility Mapping in the Detection of Traumatic Brain Injury Pathology. Neuroscience 2021; 467:218-236. [PMID: 34087394 DOI: 10.1016/j.neuroscience.2021.05.030] [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: 03/17/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 12/16/2022]
Abstract
Traumatic brain injury (TBI) is a common but heterogeneous injury underpinned by numerous complex and interrelated pathophysiological mechanisms. An essential trace element, iron is abundant within the brain and involved in many fundamental neurobiological processes, including oxygen transportation, oxidative phosphorylation, myelin production and maintenance, as well as neurotransmitter synthesis and metabolism. Excessive levels of iron are neurotoxic and thus iron homeostasis is tightly regulated in the brain, however, many details about the mechanisms by which this is achieved are yet to be elucidated. A key mediator of oxidative stress, mitochondrial dysfunction and neuroinflammatory response, iron dysregulation is an important contributor to secondary injury in TBI. Advances in neuroimaging that leverage magnetic susceptibility properties have enabled increasingly comprehensive investigations into the distribution and behaviour of iron in the brain amongst healthy individuals as well as disease states such as TBI. Quantitative Susceptibility Mapping (QSM) is an advanced neuroimaging technique that promises quantitative estimation of local magnetic susceptibility at the voxel level. In this review, we provide an overview of brain iron and its homeostasis, describe recent advances enabling applications of QSM within the context of TBI and summarise the current state of the literature. Although limited, the emergent research suggests that QSM is a promising neuroimaging technique that can be used to investigate a host of pathophysiological changes that are associated with TBI.
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Affiliation(s)
- Aleksandra Gozt
- Curtin University, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Bentley, WA Australia; Perron Institute for Neurological and Translational Science, Nedlands, WA Australia
| | - Sarah Hellewell
- Curtin University, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Bentley, WA Australia
| | - Phillip G D Ward
- Australian Research Council Centre of Excellence for Integrative Brain Function, VIC Australia; Turner Institute for Brain and Mental Health, Monash University, VIC Australia
| | - Michael Bynevelt
- Neurological Intervention and Imaging Service of Western Australia, Sir Charles Gairdner Hospital, Nedlands, WA Australia
| | - Melinda Fitzgerald
- Curtin University, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Bentley, WA Australia; Perron Institute for Neurological and Translational Science, Nedlands, WA Australia.
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Callewaert B, Jones EAV, Himmelreich U, Gsell W. Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations. Diagnostics (Basel) 2021; 11:diagnostics11060926. [PMID: 34064194 PMCID: PMC8224283 DOI: 10.3390/diagnostics11060926] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 12/11/2022] Open
Abstract
Alterations to the cerebral microcirculation have been recognized to play a crucial role in the development of neurodegenerative disorders. However, the exact role of the microvascular alterations in the pathophysiological mechanisms often remains poorly understood. The early detection of changes in microcirculation and cerebral blood flow (CBF) can be used to get a better understanding of underlying disease mechanisms. This could be an important step towards the development of new treatment approaches. Animal models allow for the study of the disease mechanism at several stages of development, before the onset of clinical symptoms, and the verification with invasive imaging techniques. Specifically, pre-clinical magnetic resonance imaging (MRI) is an important tool for the development and validation of MRI sequences under clinically relevant conditions. This article reviews MRI strategies providing indirect non-invasive measurements of microvascular changes in the rodent brain that can be used for early detection and characterization of neurodegenerative disorders. The perfusion MRI techniques: Dynamic Contrast Enhanced (DCE), Dynamic Susceptibility Contrast Enhanced (DSC) and Arterial Spin Labeling (ASL), will be discussed, followed by less established imaging strategies used to analyze the cerebral microcirculation: Intravoxel Incoherent Motion (IVIM), Vascular Space Occupancy (VASO), Steady-State Susceptibility Contrast (SSC), Vessel size imaging, SAGE-based DSC, Phase Contrast Flow (PC) Quantitative Susceptibility Mapping (QSM) and quantitative Blood-Oxygenation-Level-Dependent (qBOLD). We will emphasize the advantages and limitations of each strategy, in particular on applications for high-field MRI in the rodent's brain.
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Affiliation(s)
- Bram Callewaert
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
- CMVB, Center for Molecular and Vascular Biology, University of Leuven, Herestraat 49, bus 911, 3000 Leuven, Belgium;
| | - Elizabeth A. V. Jones
- CMVB, Center for Molecular and Vascular Biology, University of Leuven, Herestraat 49, bus 911, 3000 Leuven, Belgium;
- CARIM, Maastricht University, Universiteitssingel 50, 6200 MD Maastricht, The Netherlands
| | - Uwe Himmelreich
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
- Correspondence:
| | - Willy Gsell
- Biomedical MRI Group, University of Leuven, Herestraat 49, bus 505, 3000 Leuven, Belgium; (B.C.); (W.G.)
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Zhang X, Chai C, Ghassaban K, Ye J, Huang Y, Zhang T, Wu W, Zhu J, Zhang X, Haacke EM, Wang Z, Xue R, Xia S. Assessing brain iron and volume of subcortical nuclei in idiopathic rapid eye movement sleep behavior disorder. Sleep 2021; 44:6279094. [PMID: 34015127 DOI: 10.1093/sleep/zsab131] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/30/2021] [Indexed: 12/20/2022] Open
Abstract
STUDY OBJECTIVES The relationship of iron with cognitive and motor impairment in idiopathic rapid eye movement sleep behavior disorder (iRBD) remains unknown. METHODS Twenty-nine (29) patients and 28 healthy controls (HCs) underwent susceptibility weighted imaging and susceptibility mapping. These images were used to evaluate the nigrosome-1 (N1) sign in the substantia nigra (SN), global and regional high-iron (RII) content and volume of subcortical nuclei. RESULTS The number of iRBD patients with N1 loss (12) was significantly higher than HCs (2) (P=0.005). Compared with HCs, the iRBD patients had reduced volume of the right caudate nucleus (RCN) (P<0.05, FDR correction) but no significant changes in global and RII iron of the subcortical nuclei (all P>0.05, FDR correction). Multiple regression analysis revealed that: for cognitive function, the RII iron of the RCN was significantly correlated with visuospatial function and the global iron of the right dentate nucleus (RDN) was correlated with memory function; for motor function, the RII iron of the left DN (LDN) and global iron of the left CN correlated with the Alternate-Tap test (left, average), the global iron of the LDN correlated with the Alternate-Tap test (right), and the global iron of the left GP correlated with the 3-meter Timed Up and Go test (all P<0.05, FDR correction). CONCLUSIONS Our exploratory analysis found that iRBD patients had a higher incidence of N1 loss and reduced RCN volume after FDR correction. Cognitive and motor impairment were associated with iron deposition in several cerebral nuclei after FDR correction.
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Affiliation(s)
- Xuan Zhang
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China
| | - Chao Chai
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
| | - Kiarash Ghassaban
- Department of Radiology, Wayne State University, Detroit, Michigan, USA.,SpinTech MRI Inc., Bingham Farms, Michigan, USA
| | - Jingyi Ye
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaqin Huang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Tong Zhang
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
| | - Wei Wu
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
| | | | - E Mark Haacke
- Department of Radiology, Wayne State University, Detroit, Michigan, USA.,SpinTech MRI Inc., Bingham Farms, Michigan, USA
| | - Zhiyun Wang
- Department of Neurology, Tianjin First Central Hospital, Tianjin, China
| | - Rong Xue
- Department of Neurology, Tianjin Medical University General Hospital Airport Site, Tianjin, China.,Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, Tianjin Medical Imaging Institute, School of Medicine, Nankai University, Tianjin, China
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Martín-Noguerol T, Concepción-Aramendia L, Lim CT, Santos-Armentia E, Cabrera-Zubizarreta A, Luna A. Conventional and advanced MRI evaluation of brain vascular malformations. J Neuroimaging 2021; 31:428-445. [PMID: 33856735 DOI: 10.1111/jon.12853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 02/14/2021] [Accepted: 03/02/2021] [Indexed: 11/26/2022] Open
Abstract
Vascular malformations (VMs) of the central nervous system (CNS) include a wide range of pathological conditions related to intra and extracranial vessel abnormalities. Although some VMs show typical neuroimaging features, other VMs share and overlap pathological and neuroimaging features that hinder an accurate differentiation between them. Hence, it is not uncommon to misclassify different types of VMs under the general heading of arteriovenous malformations. Thorough knowledge of the imaging findings of each type of VM is mandatory to avoid these inaccuracies. Conventional MRI sequences, including MR angiography, have allowed the evaluation of CNS VMs without using ionizing radiation. Newer MRI techniques, such as susceptibility-weighted imaging, black blood sequences, arterial spin labeling, and 4D flow imaging, have an added value of providing physiopathological data in real time regarding the hemodynamics of VMs. Beyond MR images, new insights using 3D printed models are being incorporated as part of the armamentarium for a noninvasive evaluation of VMs. In this paper, we briefly review the pathophysiology of CNS VMs, focusing on the MRI findings that may be helpful to differentiate them. We discuss the role of each conventional and advanced MRI sequence for VMs assessment and provide some insights about the value of structured reports of 3D printing to evaluate VMs.
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Affiliation(s)
| | | | - Cc Tchoyoson Lim
- Neuroradiology Department, National Neuroscience Institute and Duke-NUS Medical School, Singapore
| | | | | | - Antonio Luna
- MRI Unit, Radiology Department, HT Medica, Jaén, Spain
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Weber AM, Zhang Y, Kames C, Rauscher A. Quantitative Susceptibility Mapping of Venous Vessels in Neonates with Perinatal Asphyxia. AJNR Am J Neuroradiol 2021; 42:1327-1333. [PMID: 34255732 DOI: 10.3174/ajnr.a7086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/14/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral venous oxygen saturation can be used as an indirect measure of brain health, yet it often requires either an invasive procedure or a noninvasive technique with poor sensitivity. We aimed to test whether cerebral venous oxygen saturation could be measured using quantitative susceptibility mapping, an MR imaging technique, in 3 distinct groups: healthy term neonates, injured term neonates, and preterm neonates. MATERIALS AND METHODS We acquired multiecho gradient-echo MR imaging data in 16 neonates with perinatal asphyxia and moderate or severe hypoxic-ischemic encephalopathy (8 term age: average, 40.0 [SD, 0.8] weeks' gestational age; 8 preterm, 33.5 [SD, 2.0] weeks' gestational age) and in 8 healthy term-age controls (39.3 [SD, 0.6] weeks, for a total of n = 24. Data were postprocessed as quantitative susceptibility mapping images, and magnetic susceptibility was measured in cerebral veins by thesholding out 99.95% of lower magnetic susceptibility values. RESULTS The mean magnetic susceptibility value of the cerebral veins was found to be 0.36 (SD, 0.04) ppm in healthy term neonates, 0.36 (SD, 0.06) ppm in term injured neonates, and 0.29 (SD, 0.04) ppm in preterm injured neonates. Correspondingly, the derived cerebral venous oxygen saturation values were 73.6% (SD, 2.8%), 71.5% (SD, 7.4%), and 72.2% (SD, 5.9%). There was no statistically significant difference in cerebral venous oxygen saturation among the 3 groups (P = .751). CONCLUSIONS Quantitative susceptibility mapping-derived oxygen saturation values in preterm and term neonates agreed well with values in past literature. Cerebral venous oxygen saturation in preterm and term neonates with hypoxic-ischemic encephalopathy, however, was not found to be significantly different between neonates or healthy controls.
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Affiliation(s)
- A M Weber
- From the Division of Neurology (A.M.W., A.R.) .,Department of Pediatrics and University of British Columbia MRI Research Centre (A.M.W., C.K., A.R.)
| | - Y Zhang
- Department of Radiology (Y.Z.), Children's Hospital of Chongqing Medical University, Chongqing, China .,Ministry of Education Key Laboratory of Child Development and Disorders (Y.Z.), Chongqing, China.,Key Laboratory of Pediatrics in Chongqing (Y.Z.), Chongqing, China.,Chongqing International Science and Technology Cooperation Center for Child Development and Disorders (Y.Z.), Chongqing, P.R. China
| | - C Kames
- Department of Pediatrics and University of British Columbia MRI Research Centre (A.M.W., C.K., A.R.).,Department of Physics and Astronomy (C.K., A.R.)
| | - A Rauscher
- From the Division of Neurology (A.M.W., A.R.).,Department of Pediatrics and University of British Columbia MRI Research Centre (A.M.W., C.K., A.R.).,Department of Physics and Astronomy (C.K., A.R.).,Department of Radiology (A.R.), University of British Columbia, Vancouver, British Columbia, Canada
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49
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Susceptibility Weighted Imaging for evaluation of musculoskeletal lesions. Eur J Radiol 2021; 138:109611. [PMID: 33677418 DOI: 10.1016/j.ejrad.2021.109611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/14/2021] [Accepted: 02/22/2021] [Indexed: 11/23/2022]
Abstract
The presence of blood or calcium in the musculoskeletal (MSK) system may be linked to specific pathological conditions. The ability of MRI for calcium detection is usually limited compared with other techniques such as CT. In a similar manner, the accuracy of MRI for detection and evaluation of hemorrhage in soft tissues is closely linked to the degree of degradation of blood products. Blood and calcium are substances that cause local inhomogeneity of the magnetic field resulting in susceptibility artifacts. To try to evaluate these substances, specific MRI sequences which are highly sensitive to these local magnetic field inhomogeneities such as Susceptibility Weighted Imaging (SWI) have been developed and successfully applied in the Central Nervous System, but scarcely used in MSK. SWI may increase the overall sensitivity of MRI to detect blood and calcium in several clinical scenarios such as degenerative joint disease or bone and soft tissue lesion assessment and discriminate between both compounds, something which is not always possible with conventional MRI approaches. In this paper, physical basis and technical adjustment for SWI acquisition at MSK are detailed reviewing the potential application of SWI in different MSK clinical scenarios.
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Haller S, Haacke EM, Thurnher MM, Barkhof F. Susceptibility-weighted Imaging: Technical Essentials and Clinical Neurologic Applications. Radiology 2021; 299:3-26. [PMID: 33620291 DOI: 10.1148/radiol.2021203071] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Susceptibility-weighted imaging (SWI) evolved from simple two-dimensional T2*-weighted sequences to three-dimensional sequences with improved spatial resolution and enhanced susceptibility contrast. SWI is an MRI sequence sensitive to compounds that distort the local magnetic field (eg, calcium and iron), in which the phase information can differentiate. But the term SWI is colloquially used to denote high-spatial-resolution susceptibility-enhanced sequences across different MRI vendors and sequences even when phase information is not used. The imaging appearance of SWI and related sequences strongly depends on the acquisition technique. Initially, SWI and related sequences were mostly used to improve the depiction of findings already known from standard two-dimensional T2*-weighted neuroimaging: more microbleeds in patients who are aging or with dementia or mild brain trauma; increased conspicuity of superficial siderosis in Alzheimer disease and amyloid angiopathy; and iron deposition in neurodegenerative diseases or abnormal vascular structures, such as capillary telangiectasia. But SWI also helps to identify findings not visible on standard T2*-weighted images: the nigrosome 1 in Parkinson disease and dementia with Lewy bodies, the central vein and peripheral rim signs in multiple sclerosis, the peripheral rim sign in abscesses, arterial signal loss related to thrombus, asymmetrically prominent cortical veins in stroke, and intratumoral susceptibility signals in brain neoplasms.
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Affiliation(s)
- Sven Haller
- From the CIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Division of Radiology, Uppsala University, Uppsala, Sweden (S.H.); CIMC Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland (S.H.) Departments of Neurology and Radiology, Wayne State University, Detroit, Mich (E.M.H.); Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria (M.M.T.); Queen Square Institute of Neurology, University College London, London, England (F.B.); Centre for Medical Image Computing (CMIC), Institute of Healthcare Engineering, University College London, London, England (F.B.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - E Mark Haacke
- From the CIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Division of Radiology, Uppsala University, Uppsala, Sweden (S.H.); CIMC Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland (S.H.) Departments of Neurology and Radiology, Wayne State University, Detroit, Mich (E.M.H.); Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria (M.M.T.); Queen Square Institute of Neurology, University College London, London, England (F.B.); Centre for Medical Image Computing (CMIC), Institute of Healthcare Engineering, University College London, London, England (F.B.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Majda M Thurnher
- From the CIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Division of Radiology, Uppsala University, Uppsala, Sweden (S.H.); CIMC Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland (S.H.) Departments of Neurology and Radiology, Wayne State University, Detroit, Mich (E.M.H.); Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria (M.M.T.); Queen Square Institute of Neurology, University College London, London, England (F.B.); Centre for Medical Image Computing (CMIC), Institute of Healthcare Engineering, University College London, London, England (F.B.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Frederik Barkhof
- From the CIRD Centre d'Imagerie Rive Droite, Geneva, Switzerland (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Surgical Sciences, Division of Radiology, Uppsala University, Uppsala, Sweden (S.H.); CIMC Centre d'Imagerie Médicale de Cornavin, Geneva, Switzerland (S.H.) Departments of Neurology and Radiology, Wayne State University, Detroit, Mich (E.M.H.); Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria (M.M.T.); Queen Square Institute of Neurology, University College London, London, England (F.B.); Centre for Medical Image Computing (CMIC), Institute of Healthcare Engineering, University College London, London, England (F.B.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
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