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Petersen MV, Christiansen MH, Mikkelsen R. Intra-operative use of Augmented Reality for 3D visualisation of rotational angiography data: Feasibility and workflow demonstration using a PCOM aneurysm case. J Neuroradiol 2025; 52:101232. [PMID: 39510248 DOI: 10.1016/j.neurad.2024.101232] [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: 09/27/2024] [Revised: 11/02/2024] [Accepted: 11/04/2024] [Indexed: 11/15/2024]
Abstract
In this Neuro-Interventional Video, we demonstrate a novel Augmented Reality (AR) platform for visualising vascular imaging data during interventional procedures. The platform allows clinicians to interact with 3D patient data through head-mounted displays while remaining sterile. Our workflow converts rotational angiography data to 3D models in real-time, and enables intuitive hand-tracked manipulation of patient data, including tools for cropping, size measurement, and C-arm projection assessment. We show how AR can enhance understanding of patient vascular pathology.
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Affiliation(s)
- Mikkel V Petersen
- Department of Clinical Medicine, Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, Denmark.
| | - Mia H Christiansen
- Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, Denmark
| | - Ronni Mikkelsen
- Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, Denmark; Radiology Research Unit, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, Denmark
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Wu H, Yang G, Zhang S, Luo J, Zhou P, Chen Y. Assessment of Risk Factors for Coronary Artery Disease and Severity by Coronary Computed Tomography Angiography Imaging. Int J Gen Med 2024; 17:4607-4615. [PMID: 39429962 PMCID: PMC11488507 DOI: 10.2147/ijgm.s475008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 09/28/2024] [Indexed: 10/22/2024] Open
Abstract
Objective To investigate the correlation between risk factors for coronary stenosis and the degree of coronary artery stenosis based on coronary computed tomography angiography (CCTA). Methods Two hundred seventy-eight patients with coronary artery disease who received treatment in our hospital between January 2020 and January 2021 were selected as the experimental group, and 100 healthy people who received physical examination in our hospital during the same period were selected as the control group (age and gender matched with the study group). The clinical data and CCTA data of the two groups of patients were collected and compared. Computed tomography fractional flow reserve (FFRCT) values were calculated based on the CCTA data of the patients in the study group, risk factors for coronary artery stenosis were analysed and the correlation between the risk factors and CT flow reserve fraction was explored. Results The serum total bilirubin (BIL), apolipoprotein A (apoA), low-density lipoprotein cholesterol (LDL-C), uric acid, total cholesterol (TC) and mean platelet volume levels were higher in the experimental group than in the control group (P < 0.05). Unconditional logistic regression analysis showed that LDL-C, uric acid, TC, triglyceride, serum total BIL and apoA were independent risk factors for coronary heart disease (P < 0.05). Serum total BIL (r = 0.27), apoA (r = -0.30), uric acid (r = -0.48), TC (r = -0.35), triglyceride (r = -0.73) and LDL-C (r = -0.65) showed a negative correlation with FFRCT values (P < 0.05). A positive correlation was detected between high-density lipoprotein cholesterol and FFRCT values (r = 0.37, P < 0.05). Conclusion Triglycerides, LDL-C, uric acid, TC, serum total BIL and apoA are risk factors for coronary artery stenosis that should be closely monitored and receive active intervention in clinical practice.
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Affiliation(s)
- Huaqiong Wu
- Department of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
| | - Guifen Yang
- Department of Internal Medicine-Cardiovascular, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
| | - Shaohua Zhang
- Department of Internal Medicine-Cardiovascular, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
| | - Jinxiang Luo
- Department of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
| | - Pei Zhou
- Department of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
| | - Yuhua Chen
- Department of Radiodiagnosis, Central War Zone General Hospital of Wuhan, Wuhan, Hubei, People’s Republic of China
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Modlińska S, Kufel J, Janik M, Czogalik Ł, Dudek P, Rojek M, Zbroszczyk M. Radiation Dose during Digital Subtraction Angiography of the Brain-The Influence of Examination Parameters and Patient Factors on the Dose. Brain Sci 2024; 14:799. [PMID: 39199491 PMCID: PMC11352881 DOI: 10.3390/brainsci14080799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 08/02/2024] [Accepted: 08/07/2024] [Indexed: 09/01/2024] Open
Abstract
Cerebral vascular angiography, or digital subtraction angiography (DSA), is essential for diagnosing neurological conditions but poses radiation risks. This study aims to analyze the impact of examination parameters and patient characteristics on the radiation dose received during DSA to optimize safety and minimize exposure. A retrospective analysis of 251 DSA procedures using the GE Innova IGS 630 dual-plane instrument was conducted. Data on dose area product (DAP) and air kerma (KERMA), along with patient and examination details, were collected. Statistical analyses, including Mann-Whitney, Kruskal-Wallis, and Spearman rank correlation tests, assessed the relationships between variables and radiation dose outcomes. Significant correlations were found between the sides examined (left, right, or both) and DAP (p < 0.0001) and KERMA (p < 0.0001) values, with bilateral studies showing the highest values. The post hoc Dunn tests showed that the 'L + P' group significantly differs from both the right group (p < 0.0001 and the left group (p < 0.0001). There is no significant difference between the 'P' group and the 'L' group (p-value = 0.53). These results suggest that the right and left (both) group have unique KERMA mGy values compared to the other two groups. A strong correlation (rS = 0.87) existed between DAP and KERMA. The number of projections significantly impacted radiation dose (rS = 0.61). Tube parameters (kV and mA) and skull size had low correlations with DAP and KERMA. Optimizing imaging protocols and individualizing parameters can significantly enhance patient safety and diagnostic efficacy while also reducing occupational exposure for medical staff.
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Affiliation(s)
- Sandra Modlińska
- Department of Radiodiagnostics, Invasive Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (S.M.); (J.K.); (M.Z.)
- Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
| | - Jakub Kufel
- Department of Radiodiagnostics, Invasive Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (S.M.); (J.K.); (M.Z.)
- Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
- Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
| | - Michał Janik
- Students’ Scientific Association of Computer Analysis and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (Ł.C.); (P.D.)
| | - Łukasz Czogalik
- Students’ Scientific Association of Computer Analysis and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (Ł.C.); (P.D.)
| | - Piotr Dudek
- Students’ Scientific Association of Computer Analysis and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (Ł.C.); (P.D.)
| | - Marcin Rojek
- Students’ Scientific Association of Computer Analysis and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (Ł.C.); (P.D.)
| | - Miłosz Zbroszczyk
- Department of Radiodiagnostics, Invasive Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland; (S.M.); (J.K.); (M.Z.)
- Department of Radiology and Nuclear Medicine, Faculty of Medical Sciences in Katowice, Medical University of Silesia in Katowice, 40-055 Katowice, Poland
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Cayron AF, Bejuy O, Vargas MI, Colin DJ, Aoki T, Lövblad KO, Bijlenga P, Kwak BR, Allémann E, Morel S. Time-of-flight and black-blood MRI to study intracranial arteries in rats. Eur Radiol Exp 2024; 8:3. [PMID: 38191711 PMCID: PMC10774247 DOI: 10.1186/s41747-023-00407-z] [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: 09/28/2023] [Accepted: 11/07/2023] [Indexed: 01/10/2024] Open
Abstract
Intracranial aneurysms (IAs) are usually incidentally discovered by magnetic resonance imaging (MRI). Once discovered, the risk associated with their treatment must be balanced with the risk of an unexpected rupture. Although clinical observations suggest that the detection of contrast agent in the aneurysm wall using a double-inversion recovery black-blood (BB) sequence may point to IA wall instability, the exact meaning of this observation is not understood. Validation of reliable diagnostic markers of IA (in)stability is of utmost importance to deciding whether to treat or not an IA. To longitudinally investigate IA progression and enhance our understanding of this devastating disease, animal models are of great help. The aim of our study was to improve a three-dimensional (3D)-time-of-flight (TOF) sequence and to develop a BB sequence on a standard preclinical 3-T MRI unit to investigate intracranial arterial diseases in rats. We showed that our 3D-TOF sequence allows reliable measurements of intracranial artery diameters, inter-artery distances, and angles between arteries and that our BB sequence enables us to visualize intracranial arteries. We report the first BB-MRI sequence to visualize intracranial arteries in rats using a preclinical 3-T MRI unit. This sequence could be useful for a large community of researchers working on intracranial arterial diseases.Relevance statement We developed a black-blood MRI sequence to study vessel wall enhancement in rats with possible application to understanding IAs instability and finding reliable markers for clinical decision-making.Key points• Reliable markers of aneurysm stability are needed for clinical decision.• Detection of contrast enhancement in the aneurysm wall may be associated with instability.• We developed a black-blood MRI sequence in rats to be used to study vessel wall enhancement of IAs.
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Affiliation(s)
- Anne F Cayron
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Olivia Bejuy
- CIBM Center for BioMedical Imaging, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Small Animal Preclinical Imaging Platform, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Maria Isabel Vargas
- Division of Neuroradiology, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Didier J Colin
- Small Animal Preclinical Imaging Platform, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Tomohiro Aoki
- Department of Pharmacology, Jikei University School of Medicine, Tokyo, Japan
| | - Karl-Olof Lövblad
- Division of Neuroradiology, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Philippe Bijlenga
- Division of Neurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Brenda R Kwak
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Eric Allémann
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
- Small Animal Preclinical Imaging Platform, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Sandrine Morel
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland.
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Division of Neurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
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Cayron AF, Morel S, Allémann E, Bijlenga P, Kwak BR. Imaging of intracranial aneurysms in animals: a systematic review of modalities. Neurosurg Rev 2023; 46:56. [PMID: 36786880 PMCID: PMC9928939 DOI: 10.1007/s10143-023-01953-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/28/2022] [Accepted: 01/23/2023] [Indexed: 02/15/2023]
Abstract
Intracranial aneurysm (IA) animal models are paramount to study IA pathophysiology and to test new endovascular treatments. A number of in vivo imaging modalities are available to characterize IAs at different stages of development in these animal models. This review describes existing in vivo imaging techniques used so far to visualize IAs in animal models. We systematically searched for studies containing in vivo imaging of induced IAs in animal models in PubMed and SPIE Digital library databases between 1 January 1945 and 13 July 2022. A total of 170 studies were retrieved and reviewed in detail, and information on the IA animal model, the objective of the study, and the imaging modality used was collected. A variety of methods to surgically construct or endogenously induce IAs in animals were identified, and 88% of the reviewed studies used surgical methods. The large majority of IA imaging in animals was performed for 4 reasons: basic research for IA models, testing of new IA treatment modalities, research on IA in vivo imaging of IAs, and research on IA pathophysiology. Six different imaging techniques were identified: conventional catheter angiography, computed tomography angiography, magnetic resonance angiography, hemodynamic imaging, optical coherence tomography, and fluorescence imaging. This review presents and discusses the advantages and disadvantages of all in vivo IA imaging techniques used in animal models to help future IA studies finding the most appropriate IA imaging modality and animal model to answer their research question.
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Affiliation(s)
- Anne F Cayron
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Sandrine Morel
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Department of Clinical Neurosciences - Division of Neurosurgery, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Eric Allémann
- School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, Switzerland
| | - Philippe Bijlenga
- Department of Clinical Neurosciences - Division of Neurosurgery, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Brenda R Kwak
- Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland.
- Geneva Center for Inflammation Research, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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Li F, Wang Y, Hu T, Wu Y. Application and interpretation of vessel wall magnetic resonance imaging for intracranial atherosclerosis: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:714. [PMID: 35845481 PMCID: PMC9279807 DOI: 10.21037/atm-22-2364] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/01/2022] [Indexed: 11/06/2022]
Abstract
Background and Objective Atherosclerosis is a systemic disease that occurs in the arteries, and it is the most important causative factor of ischemic stroke. Vessel wall magnetic resonance imaging (VWMRI) is one of the best non-invasive methods for displaying the vascular features of intracranial atherosclerosis. The main clinical applications of this technique include the exploration of the pathogenesis of intracranial atherosclerotic lesions, follow-up monitoring, and treatment prognosis judgment. As the demand for intracranial VWMRI increases in clinical practice, radiologists should be aware of the selection of imaging parameters and how they affect image quality, clinical indications, evaluation methods, and limitations in interpreting these images. Therefore, this review focused on describing how to perform and interpret VWMRI of intracranial atherosclerotic lesions. Methods We searched the studies on the application of VWMRI in the PubMed database from January 1, 2000 to March 31, 2022, and focused on the analysis of related studies on VWMRI in atherosclerotic lesions, including technical application, expert consensus, imaging characteristics, and the clinical significance of intracranial atherosclerotic lesions. Key Content and Findings We reviewed and summarized recent advances in the clinical application of VWMRI in atherosclerotic diseases. Currently accepted principles and expert consensus recommendations for intracranial VWMRI include high spatial resolution, multiplanar two and three-dimensional imaging, multiple tissue-weighted sequences, and blood and cerebrospinal fluid suppression. Understanding the characteristics of VWMRI of normal intracranial arteries is the basis for interpreting VWMRI of atherosclerotic lesions. Evaluating VWMRI imaging features of intracranial atherosclerotic lesions includes plaque morphological and enhancement characteristics. The evaluation of atherosclerotic plaque stability is the highlight of VWMRI. Conclusions VWMRI has a wide range of clinical applications and can address important clinical questions and provide critical information for treatment decisions. VWMRI plays a key role in the comprehensive evaluation and prevention of intracranial atherosclerosis. However, intracranial VWMRI is still unable to obtain in vivo plaque pathological specimens for imaging—pathological comparison is the most significant limitation of this technique. Further technical improvements are expected to reduce acquisition time and may ultimately contribute to a better understanding of the underlying pathology of lesions on VWMRI.
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Affiliation(s)
- Fangbing Li
- Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yilin Wang
- Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Tianxiang Hu
- Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yejun Wu
- Department of Radiology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
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De Leacy R, Ansari SA, Schirmer CM, Cooke DL, Prestigiacomo CJ, Bulsara KR, Hetts SW. Endovascular treatment in the multimodality management of brain arteriovenous malformations: report of the Society of NeuroInterventional Surgery Standards and Guidelines Committee. J Neurointerv Surg 2022; 14:1118-1124. [PMID: 35414599 DOI: 10.1136/neurintsurg-2021-018632] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/07/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND The purpose of this review is to summarize the data available for the role of angiography and embolization in the comprehensive multidisciplinary management of brain arteriovenous malformations (AVMs METHODS: We performed a structured literature review for studies examining the indications, efficacy, and outcomes for patients undergoing endovascular therapy in the context of brain AVM management. We graded the quality of the evidence. Recommendations were arrived at through a consensus conference of the authors, then with additional input from the full Society of NeuroInterventional Surgery (SNIS) Standards and Guidelines Committee and the SNIS Board of Directors. RESULTS The multidisciplinary evaluation and treatment of brain AVMs continues to evolve. Recommendations include: (1) Digital subtraction catheter cerebral angiography (DSA)-including 2D, 3D, and reformatted cross-sectional views when appropriate-is recommended in the pre-treatment assessment of cerebral AVMs. (I, B-NR) . (2) It is recommended that endovascular embolization of cerebral arteriovenous malformations be performed in the context of a complete multidisciplinary treatment plan aiming for obliteration of the AVM and cure. (I, B-NR) . (3) Embolization of brain AVMs before surgical resection can be useful to reduce intraoperative blood loss, morbidity, and surgical complexity. (IIa, B-NR) . (4) The role of primary curative embolization of cerebral arteriovenous malformations is uncertain, particularly as compared with microsurgery and radiosurgery with or without adjunctive embolization. Further research is needed, particularly with regard to risk for AVM recurrence. (III equivocal, C-LD) . (5) Targeted embolization of high-risk features of ruptured brain AVMs may be considered to reduce the risk for recurrent hemorrhage. (IIb, C-LD) . (6) Palliative embolization may be useful to treat symptomatic AVMs in which curative therapy is otherwise not possible. (IIb, B-NR) . (7) The role of AVM embolization as an adjunct to radiosurgery is not well-established. Further research is needed. (III equivocal, C-LD) . (8) Imaging follow-up after apparent cure of brain AVMs is recommended to assess for recurrence. Although non-invasive imaging may be used for longitudinal follow-up, DSA remains the gold standard for residual or recurrent AVM detection in patients with concerning imaging and/or clinical findings. (I, C-LD) . (9) Improved national and international reporting of patients of all ages with brain AVMs, their treatments, side effects from treatment, and their long-term outcomes would enhance the ability to perform clinical trials and improve the rigor of research into this rare condition. (I, C-EO) . CONCLUSIONS Although the quality of evidence is lower than for more common conditions subjected to multiple randomized controlled trials, endovascular therapy has an important role in the management of brain AVMs. Prospective studies are needed to strengthen the data supporting these recommendations.
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Affiliation(s)
- Reade De Leacy
- Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sameer A Ansari
- Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Daniel L Cooke
- Radiology and Biomedical Imaging, University California San Francisco, San Francisco, California, USA
| | | | - Ketan R Bulsara
- Division of Neurosurgery, University of Connecticut, Farmington, Connecticut, USA
| | - Steven W Hetts
- Radiology and Biomedical Imaging, University California San Francisco, San Francisco, California, USA
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Andescavage N, Limperopoulos C. Emerging placental biomarkers of health and disease through advanced magnetic resonance imaging (MRI). Exp Neurol 2021; 347:113868. [PMID: 34562472 DOI: 10.1016/j.expneurol.2021.113868] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/09/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022]
Abstract
Placental dysfunction is a major cause of fetal demise, fetal growth restriction, and preterm birth, as well as significant maternal morbidity and mortality. Infant survivors of placental dysfunction are at elevatedrisk for lifelong neuropsychiatric morbidity. However, despite the significant consequences of placental disease, there are no clinical tools to directly and non-invasively assess and measure placental function in pregnancy. In this work, we will review advanced MRI techniques applied to the study of the in vivo human placenta in order to better detail placental structure, architecture, and function. We will discuss the potential of these measures to serve as optimal biomarkers of placental dysfunction and review the evidence of these tools in the discrimination of health and disease in pregnancy. Efforts to advance our understanding of in vivo placental development are necessary if we are to optimize healthy pregnancy outcomes and prevent brain injury in successive generations. Current management of many high-risk pregnancies cannot address placental maldevelopment or injury, given the standard tools available to clinicians. Once accurate biomarkers of placental development and function are constructed, the subsequent steps will be to introduce maternal and fetal therapeutics targeting at optimizing placental function. Applying these biomarkers in future studies will allow for real-time assessments of safety and efficacy of novel interventions aimed at improving maternal-fetal well-being.
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Affiliation(s)
- Nickie Andescavage
- Developing Brain Institute, Department of Radiology, Children's National, Washington DC, USA; Department of Neonatology, Children's National, Washington DC, USA
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Li N, Zhou S, Zhao G, Zhang Z, Xie Y, Liang X. Iterative stripe artifact correction framework for TOF-MRA. Comput Biol Med 2021; 134:104456. [PMID: 34010790 DOI: 10.1016/j.compbiomed.2021.104456] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 11/26/2022]
Abstract
The purpose of this study is to develop a practical stripe artifacts correction framework on three-dimensional (3-D) time-of-flight magnetic resonance angiography (TOF-MRA) obtained by multiple overlapping thin slab acquisitions (MOTSA) technology. In this work, the stripe artifacts in TOF-MRA were considered as a part of image texture. To separate the image structure and the texture, the relative total variation (RTV) was firstly employed to smooth the TOF-MRA for generating the template image with fewer image textures. Then a residual image was generated, which was the difference between the template image and the raw TOF-MRA. The residual image was served as the image texture, which contained the image details and stripe artifacts. Then, we obtained the artifact image from the residual image via a filter in a specific direction since the image artifacts appeared as stripes. The image details were then produced from the difference between the artifact image and the image texture. To produce the corrected images, we finally compensated the image details to the RTV smoothing image. The proposed method was continued until the stripe artifacts during the iteration vary as little as possible. The digital phantom and the real patients' TOF-MRA were used to test the approach. The spatial uniformity was increased from 74% to 82% and the structural similarity was improved from 86% to 98% in the digital phantom test by using the proposed algorithm. Our approach proved to be highly successful in eliminating stripe artifacts in real patient data tests while retaining image details. The proposed iterative framework on TOF-MRA stripe artifact correction is effective and appealing for enhancing the imaging performance of multi-slab 3-D acquisitions.
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Affiliation(s)
- Na Li
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China
| | - Shoujun Zhou
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China.
| | - Gang Zhao
- Neurosurgery Department, General Hospital of Southern Theatre Command, PLA, Guangzhou, Guangdong, 510010, China
| | - Zhicheng Zhang
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
| | - Yaoqin Xie
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China
| | - Xiaokun Liang
- Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China; Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA.
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