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Akyel NG, Alımlı AG, Sivri M, Akmaz Ünlü H, Tiftik M. Diagnostic Accuracy of SWAN in the Diagnosis of Low-Flow Brain Vascular Malformations in Childhood. JOURNAL OF PEDIATRIC NEUROLOGY 2021. [DOI: 10.1055/s-0041-1736554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Abstract
Purpose The main objective of this study is to demonstrate the diagnostic accuracy of susceptibility-weighted angiography (SWAN) in the diagnosis of slow-flow cerebral vascular malformations, especially developmental venous anomaly (DVA). We also aimed to determine the prevalence of DVAs identified by SWAN at 1.5 T.
Methods We retrospectively evaluated 1,760 axial SWAN images for the diagnosis of low-flow vascular anomaly. Among them were 305 patients who underwent contrast-enhanced examination due to different indications. Postcontrast images were analyzed by different radiologists who were blinded to patients. The presence of DVA and other features such as location, length, depth, and direction of drainage vein was evaluated.
Results Twenty-six patients with DVA had both SWAN and postcontrast images. There were four false-negative patients with SWAN. The sensitivity of the SWAN sequence was 84.6%. In addition, totally 77 DVA (4.36%), 2 capillary telangiectasia (0.11%), and 2 cavernous malformations (0.11%) were detected in 1,760 patients.
Conclusion SWAN is an effective method for the diagnosis of developmental venous anomalies and other low-flow cerebral vascular malformations. Especially in the pediatric age, susceptibility-weighted imaging sequences are useful to limit contrast use.
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Affiliation(s)
- Nazlı Gülsüm Akyel
- Department of Pediatric Radiology, Sanliurfa Training and Research Hospital, Şanlıurfa, Turkey
| | - Ayşe Gül Alımlı
- Department of Pediatric Radiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
| | - Mesut Sivri
- Department of Radiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
| | - Havva Akmaz Ünlü
- Department of Radiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
| | - Mehmet Tiftik
- Department of Radiology, University of Health Sciences, Ankara City Hospital, Ankara, Turkey
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Simultaneous feedback control for joint field and motion correction in brain MRI. Neuroimage 2020; 226:117286. [PMID: 32992003 DOI: 10.1016/j.neuroimage.2020.117286] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 07/21/2020] [Accepted: 08/14/2020] [Indexed: 11/23/2022] Open
Abstract
T2*-weighted gradient-echo sequences count among the most widely used techniques in neuroimaging and offer rich magnitude and phase contrast. The susceptibility effects underlying this contrast scale with B0, making T2*-weighted imaging particularly interesting at high field. High field also benefits baseline sensitivity and thus facilitates high-resolution studies. However, enhanced susceptibility effects and high target resolution come with inherent challenges. Relying on long echo times, T2*-weighted imaging not only benefits from enhanced local susceptibility effects but also suffers from increased field fluctuations due to moving body parts and breathing. High resolution, in turn, renders neuroimaging particularly vulnerable to motion of the head. This work reports the implementation and characterization of a system that aims to jointly address these issues. It is based on the simultaneous operation of two control loops, one for field stabilization and one for motion correction. The key challenge with this approach is that the two loops both operate on the magnetic field in the imaging volume and are thus prone to mutual interference and potential instability. This issue is addressed at the levels of sensing, timing, and control parameters. Performance assessment shows the resulting system to be stable and exhibit adequate loop decoupling, precision, and bandwidth. Simultaneous field and motion control is then demonstrated in examples of T2*-weighted in vivo imaging at 7T.
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Kim HG, Choi JW, Han M, Lee JH, Lee HS. Texture analysis of deep medullary veins on susceptibility-weighted imaging in infants: evaluating developmental and ischemic changes. Eur Radiol 2020; 30:2594-2603. [DOI: 10.1007/s00330-019-06618-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 11/07/2019] [Accepted: 12/11/2019] [Indexed: 12/28/2022]
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Soman S, Bregni JA, Bilgic B, Nemec U, Fan A, Liu Z, Barry RL, Du J, Main K, Yesavage J, Adamson MM, Moseley M, Wang Y. Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions. CURRENT RADIOLOGY REPORTS 2017; 5. [PMID: 28695062 DOI: 10.1007/s40134-017-0204-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The evaluation of neuropathologies using MRI methods that leverage tissue susceptibility have become standard practice, especially to detect blood products or mineralization. Additionally, emerging MRI techniques have the ability to provide new information based on tissue susceptibility properties in a robust and quantitative manner. This paper discusses these advanced susceptibility imaging techniques and their clinical applications.
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Affiliation(s)
- Salil Soman
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Rosenberg 90A, 1 Deaconess Road, Boston, MA 02215, Tel: 617-754-2009
| | | | - Berkin Bilgic
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, A.A. Martinos Center for Biomedical Imaging 149 13th Street, Room 2.102, Charlestown, MA 02129, Tel: 617-866-8740
| | - Ursula Nemec
- Department of Radiology, Medical University of Vienna, Austria
| | - Audrey Fan
- Department of Radiology, Stanford School of Medicine 300 Pasteur Dr, MC 5105, Stanford, CA94305
| | - Zhe Liu
- Cornell MRI Research Lab, Cornell University, 515 East 71st St, Suite 104, New York, NY 10021, ,
| | - Robert L Barry
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, A.A. Martinos Center for Biomedical Imaging 149 13th Street, Suite 2.301, Charlestown, MA 02129 USA, Tel: 615-801-0795
| | - Jiang Du
- Department of Radiology, UCSD, 200 West Arbor Drive, San Diego, CA 92103-8226, Tel: 619-471-0519
| | - Keith Main
- Principal Scientist (SME), Research Division, Defense and Veterans Brain Injury Center, General Dynamics Health Solutions, 1335 East-West Hwy, Suite 4-100, Silver Spring, MD 20910
| | - Jerome Yesavage
- Department of Psychiatry & Behavioral Sciences, Stanford School of Medicine, Mail Code 151-Y, 3801 Miranda Avenue, Palo Alto, California 94304, Phone (650) 852-3287
| | - Maheen M Adamson
- Department of Neurosurgery, Department of Psychiatry & Behavioral Sciences, Stanford School of Medicine, Defense and Veterans Brain Injury Center, VA Palo Alto Health Care System (PSC/117), 3801 Miranda Avenue (151Y), Palo Alto, CA 94304
| | - Michael Moseley
- Department of Radiology, Stanford School of Medicine, Mail Code 5488, Route 8, Rm PS059, Stanford, CA, 94305-5488, Tel: 650-725-6077
| | - Yi Wang
- Department of Radiology, Cornell Medical School, Department of Biomedical Engineering, Cornell University, 301 Weill Hall, 237 Tower Road, Ithaca, NY 14853, Tel: 646 962-2631
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