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Yang R, Ren Y, Kok HK, Smith PD, Kebria PM, Khosravi A, Maingard J, Yeo M, Hall J, Foo M, Zhou K, Jhamb A, Russell J, Brooks M, Asadi H. Verification of a simplified aneurysm dimensionless flow parameter to predict intracranial aneurysm rupture status. Br J Radiol 2024; 97:1357-1364. [PMID: 38796680 DOI: 10.1093/bjr/tqae106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/07/2023] [Accepted: 05/16/2024] [Indexed: 05/28/2024] Open
Abstract
OBJECTIVES Aneurysm number (An) is a novel prediction tool utilizing parameters of pulsatility index (PI) and aneurysm geometry. An has been shown to have the potential to differentiate intracranial aneurysm (IA) rupture status. The objective of this study is to investigate the feasibility and accuracy of An for IA rupture status prediction using Australian based clinical data. METHODS A retrospective study was conducted across three tertiary referral hospitals between November 2017 and November 2020 and all saccular IAs with known rupture status were included. Two sets of An values were calculated based on two sets of PI values previously reported in the literature. RESULTS Five hundred and four IA cases were included in this study. The results demonstrated no significant difference between ruptured and unruptured status when using An ≥1 as the discriminator. Further analysis showed no strong correlation between An and IA subtypes. The area under the curve (AUC) indicated poor performance in predicting rupture status (AUC1 = 0.55 and AUC2 = 0.56). CONCLUSIONS This study does not support An ≥1 as a reliable parameter to predict the rupture status of IAs based on a retrospective cohort. Although the concept of An is supported by hemodynamic aneurysm theory, further research is needed before it can be applied in the clinical setting. ADVANCES IN KNOWLEDGE This study demonstrates that the novel prediction tool, An, proposed in 2020 is not reliable and that further research of this hemodynamic model is needed before it can be incorporated into the prediction of IA rupture status.
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Affiliation(s)
- Runlin Yang
- Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
| | - Yifan Ren
- Interventional Radiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
| | - Hong Kuan Kok
- Interventional Radiology Service, Northern Health Radiology, Melbourne, 3076, Australia
| | - Paul D Smith
- Melbourne Medical School, The University of Melbourne, Parkville, 3052, Australia
- Department of Neurosurgery, St Vincent's Hospital, Melbourne, 3065, Australia
| | - Parham Mohsenzadeh Kebria
- Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, 3216, Australia
| | - Abbas Khosravi
- Institute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, 3216, Australia
| | - Julian Maingard
- Interventional Radiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
- Interventional Neuroradiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
- School of Medicine-Faculty of Health, Deakin University, Waurn Ponds, 3216, Australia
| | - Melissa Yeo
- Department of Radiology, Western Health, Melbourne, 3011, Australia
| | - Jonathan Hall
- Department of Radiology, St Vincent's Hospital Melbourne, Melbourne, 3065, Australia
| | - Michelle Foo
- Interventional Radiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
| | - Kevin Zhou
- Department of Radiology, Monash Health, Monash University, Melbourne, 3168, Australia
| | - Ashu Jhamb
- Interventional Radiology Service-Department of Radiology, St Vincent's Hospital Melbourne, Melbourne, 3065, Australia
| | - Jeremy Russell
- Department of Neurosurgery, Austin Hospital, Melbourne, 3084, Australia
| | - Mark Brooks
- Interventional Radiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
- The Florey Institute of Neuroscience and Mental Health, Melbourne, 3052, Australia
| | - Hamed Asadi
- Interventional Neuroradiology Service-Department of Radiology, Austin Hospital, Melbourne, 3084, Australia
- School of Medicine-Faculty of Health, Deakin University, Waurn Ponds, 3216, Australia
- The Florey Institute of Neuroscience and Mental Health, Melbourne, 3052, Australia
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Moura FS, Beraldo RG, Ferreira LA, Siltanen S. Anatomical atlas of the upper part of the human head for electroencephalography and bioimpedance applications. Physiol Meas 2021; 42. [PMID: 34673557 DOI: 10.1088/1361-6579/ac3218] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/21/2021] [Indexed: 11/11/2022]
Abstract
Objective.The objective of this work is to develop a 4D (3D+T) statistical anatomical atlas of the electrical properties of the upper part of the human head for cerebral electrophysiology and bioimpedance applications.Approach.The atlas was constructed based on 3D magnetic resonance images (MRI) of 107 human individuals and comprises the electrical properties of the main internal structures and can be adjusted for specific electrical frequencies. T1w+T2w MRI images were used to segment the main structures of the head while angiography MRI was used to segment the main arteries. The proposed atlas also comprises a time-varying model of arterial brain circulation, based on the solution of the Navier-Stokes equation in the main arteries and their vascular territories.Main results.High-resolution, multi-frequency and time-varying anatomical atlases of resistivity, conductivity and relative permittivity were created and evaluated using a forward problem solver for EIT. The atlas was successfully used to simulate electrical impedance tomography measurements indicating the necessity of signal-to-noise between 100 and 125 dB to identify vascular changes due to the cardiac cycle, corroborating previous studies. The source code of the atlas and solver are freely available to download.Significance.Volume conductor problems in cerebral electrophysiology and bioimpedance do not have analytical solutions for nontrivial geometries and require a 3D model of the head and its electrical properties for solving the associated PDEs numerically. Ideally, the model should be made with patient-specific information. In clinical practice, this is not always the case and an average head model is often used. Also, the electrical properties of the tissues might not be completely known due to natural variability. Anatomical atlases are important tools forin silicostudies on cerebral circulation and electrophysiology that require statistically consistent data, e.g. machine learning, sensitivity analyses, and as a benchmark to test inverse problem solvers.
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Affiliation(s)
- Fernando S Moura
- Engineering, modelling and Applied Social Sciences Center, Federal University of ABC São Bernardo do Campo, São Paulo, Brazil.,Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
| | - Roberto G Beraldo
- Engineering, modelling and Applied Social Sciences Center, Federal University of ABC São Bernardo do Campo, São Paulo, Brazil
| | - Leonardo A Ferreira
- Engineering, modelling and Applied Social Sciences Center, Federal University of ABC São Bernardo do Campo, São Paulo, Brazil
| | - Samuli Siltanen
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
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Platt T, Ladd ME, Paech D. 7 Tesla and Beyond: Advanced Methods and Clinical Applications in Magnetic Resonance Imaging. Invest Radiol 2021; 56:705-725. [PMID: 34510098 PMCID: PMC8505159 DOI: 10.1097/rli.0000000000000820] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/07/2021] [Accepted: 08/07/2021] [Indexed: 12/15/2022]
Abstract
ABSTRACT Ultrahigh magnetic fields offer significantly higher signal-to-noise ratio, and several magnetic resonance applications additionally benefit from a higher contrast-to-noise ratio, with static magnetic field strengths of B0 ≥ 7 T currently being referred to as ultrahigh fields (UHFs). The advantages of UHF can be used to resolve structures more precisely or to visualize physiological/pathophysiological effects that would be difficult or even impossible to detect at lower field strengths. However, with these advantages also come challenges, such as inhomogeneities applying standard radiofrequency excitation techniques, higher energy deposition in the human body, and enhanced B0 field inhomogeneities. The advantages but also the challenges of UHF as well as promising advanced methodological developments and clinical applications that particularly benefit from UHF are discussed in this review article.
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Affiliation(s)
- Tanja Platt
- From the Medical Physics in Radiology, German Cancer Research Center (DKFZ)
| | - Mark E. Ladd
- From the Medical Physics in Radiology, German Cancer Research Center (DKFZ)
- Faculty of Physics and Astronomy
- Faculty of Medicine, University of Heidelberg, Heidelberg
- Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen
| | - Daniel Paech
- Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg
- Clinic for Neuroradiology, University of Bonn, Bonn, Germany
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Schnell S, Wu C, Ansari SA. Four-dimensional MRI flow examinations in cerebral and extracerebral vessels - ready for clinical routine? Curr Opin Neurol 2016; 29:419-28. [PMID: 27262148 PMCID: PMC4939804 DOI: 10.1097/wco.0000000000000341] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW To evaluate the feasibility of 4-dimensional (4D) flow MRI for the clinical assessment of cerebral and extracerebral vascular hemodynamics in patients with neurovascular disease. RECENT FINDINGS 4D flow MRI has been applied in multiple studies to qualitatively and quantitatively study intracranial aneurysm blood flow for potential risk stratification and to assess treatment efficacy of various neurovascular lesions, including intraaneurysmal and parent artery blood flow after flow diverter stent placement and staged embolizations of arteriovenous malformations and vein of Galen aneurysmal malformations. Recently, the technique has been utilized to characterize age-related changes of normal cerebral hemodynamics in healthy individuals over a broad age range. SUMMARY 4D flow MRI is a useful tool for the noninvasive, volumetric and quantitative hemodynamic assessment of neurovascular disease without the need for gadolinium contrast agents. Further improvements are warranted to overcome technical limitations before broader clinical implementation. Current developments, such as advanced acceleration techniques (parallel imaging and compressed sensing) for faster data acquisition, dual or multiple velocity encoding strategies for more accurate arterial and venous flow quantification, ultrahigh-field strengths to achieve higher spatial resolution and streamlined postprocessing workflow for more efficient and standardized flow analysis, are promising advancements in 4D flow MRI.
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Affiliation(s)
- Susanne Schnell
- Dept. of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
| | - Can Wu
- Dept. of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
- Dept. of Biomedical Engineering, Northwestern University, Evanston, Illinois
| | - Sameer A. Ansari
- Dept. of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
- Dept. of Neurology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
- Dept. of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
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Pineda Zapata JA, Delgado de Bedout JA, Rascovsky Ramírez S, Bustamante C, Mesa S, Calvo Betancur VD. A practical introduction to the hemodynamic analysis of the cardiovascular system with 4D Flow MRI. RADIOLOGIA 2014; 56:485-95. [PMID: 25447368 DOI: 10.1016/j.rx.2014.08.001] [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: 11/15/2013] [Revised: 08/12/2014] [Accepted: 08/14/2014] [Indexed: 11/28/2022]
Abstract
The 4D Flow MRI technique provides a three-dimensional representation of blood flow over time, making it possible to evaluate the hemodynamics of the cardiovascular system both qualitatively and quantitatively. In this article, we describe the application of the 4D Flow technique in a 3T scanner; in addition to the technical parameters, we discuss the advantages and limitations of the technique and its possible clinical applications. We used 4D Flow MRI to study different body areas (chest, abdomen, neck, and head) in 10 volunteers. We obtained 3D representations of the patterns of flow and quantitative hemodynamic measurements. The technique makes it possible to evaluate the pattern of blood flow in large and midsize vessels without the need for exogenous contrast agents.
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Affiliation(s)
- J A Pineda Zapata
- Grupo de Investigación, Instituto de Alta Tecnología Médica (IATM), Medellín, Antioquia, Colombia.
| | - J A Delgado de Bedout
- Grupo de Investigación, Instituto de Alta Tecnología Médica (IATM), Medellín, Antioquia, Colombia
| | - S Rascovsky Ramírez
- Grupo de Investigación, Instituto de Alta Tecnología Médica (IATM), Medellín, Antioquia, Colombia
| | - C Bustamante
- Grupo de Investigación, Instituto de Alta Tecnología Médica (IATM), Medellín, Antioquia, Colombia
| | - S Mesa
- Universidad CES, Medellín, Antioquia, Colombia
| | - V D Calvo Betancur
- Grupo de Investigación, Instituto de Alta Tecnología Médica (IATM), Medellín, Antioquia, Colombia
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Pineda Zapata J, Delgado de Bedout J, Rascovsky Ramírez S, Bustamante C, Mesa S, Calvo Betancur V. A practical introduction to the hemodynamic analysis of the cardiovascular system with 4D Flow MRI. RADIOLOGIA 2014. [DOI: 10.1016/j.rxeng.2014.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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