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Urban A, Golgher L, Brunner C, Gdalyahu A, Har-Gil H, Kain D, Montaldo G, Sironi L, Blinder P. Understanding the neurovascular unit at multiple scales: Advantages and limitations of multi-photon and functional ultrasound imaging. Adv Drug Deliv Rev 2017; 119:73-100. [PMID: 28778714 DOI: 10.1016/j.addr.2017.07.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 07/17/2017] [Accepted: 07/22/2017] [Indexed: 02/07/2023]
Abstract
Developing efficient brain imaging technologies by combining a high spatiotemporal resolution and a large penetration depth is a key step for better understanding the neurovascular interface that emerges as a main pathway to neurodegeneration in many pathologies such as dementia. This review focuses on the advances in two complementary techniques: multi-photon laser scanning microscopy (MPLSM) and functional ultrasound imaging (fUSi). MPLSM has become the gold standard for in vivo imaging of cellular dynamics and morphology, together with cerebral blood flow. fUSi is an innovative imaging modality based on Doppler ultrasound, capable of recording vascular brain activity over large scales (i.e., tens of cubic millimeters) at unprecedented spatial and temporal resolution for such volumes (up to 10μm pixel size at 10kHz). By merging these two technologies, researchers may have access to a more detailed view of the various processes taking place at the neurovascular interface. MPLSM and fUSi are also good candidates for addressing the major challenge of real-time delivery, monitoring, and in vivo evaluation of drugs in neuronal tissue.
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Affiliation(s)
- Alan Urban
- Neuroelectronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium and/or IMEC, Leuven, Belgium; Department of Neurosciences, KU Leuven, Leuven, Belgium; Neurobiology Dept., Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Lior Golgher
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Clément Brunner
- Neuroelectronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium and/or IMEC, Leuven, Belgium
| | - Amos Gdalyahu
- Neurobiology Dept., Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Hagai Har-Gil
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - David Kain
- Neurobiology Dept., Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Gabriel Montaldo
- Neuroelectronics Research Flanders, Leuven, Belgium; VIB, Leuven, Belgium and/or IMEC, Leuven, Belgium
| | - Laura Sironi
- Physics Dept., Universita degli Studi di Milano Bicocca, Italy
| | - Pablo Blinder
- Neurobiology Dept., Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel; Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.
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Ivancevich NM, Dahl JJ, Smith SW. Comparison of 3-D multi-lag cross- correlation and speckle brightness aberration correction algorithms on static and moving targets. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2009; 56:2157-66. [PMID: 19942503 PMCID: PMC2814551 DOI: 10.1109/tuffc.2009.1298] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Phase correction has the potential to increase the image quality of 3-D ultrasound, especially transcranial ultrasound. We implemented and compared 2 algorithms for aberration correction, multi-lag cross-correlation and speckle brightness, using static and moving targets. We corrected three 75-ns rms electronic aberrators with full-width at half-maximum (FWHM) auto-correlation lengths of 1.35, 2.7, and 5.4 mm. Cross-correlation proved the better algorithm at 2.7 and 5.4 mm correlation lengths (P < 0.05). Static cross-correlation performed better than moving-target cross-correlation at the 2.7 mm correlation length (P < 0.05). Finally, we compared the static and moving-target cross-correlation on a flow phantom with a skull casting aberrator. Using signal from static targets, the correction resulted in an average contrast increase of 22.2%, compared with 13.2% using signal from moving targets. The contrast-to-noise ratio (CNR) increased by 20.5% and 12.8% using static and moving targets, respectively. Doppler signal strength increased by 5.6% and 4.9% for the static and moving-targets methods, respectively.
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Tsivgoulis G, Sharma VK, Hoover SL, Lao AY, Ardelt AA, Malkoff MD, Alexandrov AV. Applications and Advantages of Power Motion-Mode Doppler in Acute Posterior Circulation Cerebral Ischemia. Stroke 2008; 39:1197-204. [PMID: 18323502 DOI: 10.1161/strokeaha.107.499392] [Citation(s) in RCA: 63] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Evaluation of posterior circulation with single-gate transcranial Doppler (TCD) is technically challenging and yields lower accuracy parameters in comparison to anterior circulation vessels. Transcranial power motion-mode Doppler (PMD-TCD), in addition to spectral information, simultaneously displays in real-time flow signal intensity and direction over 6 cm of intracranial space. We aimed to evaluate the diagnostic accuracy of PMD-TCD against angiography in detection of acute posterior circulation stenoocclusive disease.
Methods—
Consecutive patients presenting to the emergency room with symptoms of acute (<24 hours) cerebral ischemia underwent emergent neurovascular evaluation with PMD-TCD and angiography (computed tomographic angiography, magnetic resonance angiography, or digital subtraction angiography). Previously published diagnostic criteria were prospectively applied for PMD-TCD interpretation independent of angiographic findings.
Results—
A total of 213 patients (119 men; mean age 65±16 years; ischemic stroke 71%, transient ischemic attack 29%) underwent emergent neurovascular assessment. Compared with angiography, PMD-TCD showed 17 true-positive, 8 false-negative, 6 false-positive, and 182 true-negative studies in posterior circulation vessels (sensitivity 73% [55% to 91%], specificity 96% [93% to 99%], positive predictive value 68% [50% to 86%], negative predictive value 95% [92% to 98%], accuracy 93% [90% to 96%]). In 14 patients (82% of true-positive cases), PMD display showed diagnostic flow signatures complementary to the information provided by the spectral display: reverberating or alternating flow, distal basilar artery flow reversal, high-resistance flow, emboli tracks and, bruit flow signatures.
Conclusions—
PMD-TCD yields a satisfactory agreement with urgent brain angiography in the evaluation of patients with acute posterior circulation cerebral ischemia. PMD display can depict flow signatures that are complimentary to and can increase confidence in standard single-gate TCD spectral findings.
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Affiliation(s)
- Georgios Tsivgoulis
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Vijay K. Sharma
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Steven L. Hoover
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Annabelle Y. Lao
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Agnieszka A. Ardelt
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Marc D. Malkoff
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
| | - Andrei V. Alexandrov
- From the Comprehensive Stroke Center (G.T., A.A.A., A.V.A.), University of Alabama at Birmingham Hospital, Birmingham, Ala; the Neurosonology and Stroke Research Program (G.T., V.K.S., S.L.H., A.Y.L., M.D.M., A.V.A.), Barrow Neurological Institute, Phoenix, Az; the Department of Neurology (G.T.), University of Athens School of Medicine, Athens, Greece; the Division of Neurology, Department of Medicine (V.K.S.), National University Hospital, Singapore; and the University of Santo Tomas (A.Y.L.),
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Abstract
Multimodality monitoring of cerebral physiology encompasses the application of different monitoring techniques and integration of several measured physiological and biochemical variables into the assessment of brain metabolism, structure, perfusion and oxygenation status, in addition to clinical evaluation. Novel monitoring techniques include transcranial Doppler ultrasonography, neuroimaging, intracranial pressure, cerebral perfusion and cerebral blood flow monitors, brain tissue oxygen tension monitoring, microdialysis, evoked potentials and continuous electroencephalography. Multimodality monitoring enables the immediate detection and prevention of acute neurological events, as well as appropriate intervention based on a patient’s individual disease state in the neurocritical care unit. Simultaneous real-time analysis of cerebral physiological, metabolic and cardiovascular parameters has broadened knowledge regarding complex brain pathophysiology and cerebral hemodynamics. Integration of this information allows for a more precise diagnosis and optimization of management of patients with brain injury.
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Affiliation(s)
- Katja Elfriede Wartenberg
- Columbia University, Division of Stroke and Critical Care, Neurological Institute, 710 West 168th Street, NY 10032, USA
| | - J Michael Schmidt
- Columbia University, Division of Stroke and Critical Care, Neurological Institute, 710 W, 168th Street, NY 10032, USA
| | - Derk W Krieger
- Cleveland Clinic Foundation, Section of Stroke and Neurologic Intensive Care, Department of Neurology, S91, 9500 Euclid Avenue, OH 44195, USA
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Gaitini D, Soudack M. Diagnosing carotid stenosis by Doppler sonography: state of the art. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2005; 24:1127-36. [PMID: 16040828 DOI: 10.7863/jum.2005.24.8.1127] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
OBJECTIVE The goal of this review article is to present the state of the art in the clinical applications and technical performance and interpretation of carotid sonographic examinations. METHODS Relevant publications regarding color and duplex Doppler sonography (CDDS) of the carotid arteries extracted from a computerized database (MEDLINE) and from references cited in these articles not appearing on the Internet were reviewed. RESULTS The ability to quickly and efficiently identify stenosis in the carotid artery is an important goal for clinicians and vascular surgeons. Identification of potentially treatable carotid stenosis enables selection of appropriate candidates for endarterectomy or stent implantation. Advances in performance and interpretation of carotid sonographic studies over the last 20 years have been driven by technological improvements in gray scale and CDDS examinations and have made carotid sonography an important means to reach this goal. On the basis of CDDS, intima-media thickness measurements and plaque location and characterization on gray scale imaging, flow disturbance and areas of stenosis on color Doppler sonography, and flow velocities on spectral Doppler sonography are obtained. The degree of the diameter of a stenosis of the internal carotid artery is the main parameter used for therapeutic approaches. Advantages and limitations of the method are included. CONCLUSIONS Carotid sonography is a unique imaging method for the investigation of carotid abnormalities. Noninvasive, accurate, and cost-effective, it provides morphologic and functional information. It is increasingly becoming the first and often the sole imaging study before endarterectomy, whereas costly and invasive procedures are reserved for special cases.
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Affiliation(s)
- Diana Gaitini
- Unit of Ultrasound, Department of Medical Imaging, Rambam Medical Center, Haifa, Israel.
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