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Thibodeau R, Li HK, Babu H, Jafroodifar A, Ramovic M, Hahn SS. Dural lymphoma misdiagnosed as subdural hematoma following head trauma after an episode of syncope. Radiol Case Rep 2022; 17:4774-4779. [PMID: 36238205 PMCID: PMC9550849 DOI: 10.1016/j.radcr.2022.09.044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/08/2022] [Accepted: 09/13/2022] [Indexed: 11/19/2022] Open
Abstract
Primary dural lymphoma is a rare subtype of primary central nervous system lymphoma. Primary dural lymphoma may be radiologically misdiagnosed as it shares similar imaging characteristics with several pathologies, including meningiomas and subdural or epidural hematomas. We present a patient who was originally diagnosed with a subdural hematoma following a syncopal episode on computed tomography. Follow-up magnetic resonance imaging of the brain demonstrated heterogeneously enhancing dural-based mass overlying the left frontoparietal convexity associated with bidirectional dural tails, suggestive of a malignant meningioma. Neurosurgical histopathology revealed marginal zone B-cell lymphoma. This case represents the potential difficulty in diagnosing primary dural lymphoma, especially in the setting of uncertain clinical history and obscured imaging features.
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Key Words
- 18F-FDG PET/CT, 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography
- ADC, Apparent diffusion coefficient
- CNS, Central nervous system
- CT, Computed tomography
- DWI, Diffusion-weighted imaging
- Dural lymphoma
- ED, Emergency department
- FLAIR, Fluid-attenuated inversion recovery
- MR, Magnetic resonance
- MZBCL, Marginal zone B-cell lymphoma
- Meningioma
- Neuroradiology
- Neurosurgery
- PCNSL, Primary central nervous system tumor
- PCP, Primary care physician
- PDL, Primary dural lymphoma
- Radiation oncology
- SPECT, single-photon emission computed tomography
- Subdural hematoma
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Affiliation(s)
- Ryan Thibodeau
- Department of Radiology, SUNY Upstate Medical University, Syracuse, NY, USA
- Department of Radiology, Albany Medical Center, Albany, NY, USA
| | - Hsin Kwung Li
- Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Harish Babu
- Department of Neurosurgery, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Abtin Jafroodifar
- Department of Radiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Merima Ramovic
- Department of Medical Oncology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Seung Shin Hahn
- Department of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, USA
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Bem Junior LS, Ferreira Neto ODC, Dias AJA, Alencar Neto JFD, de Lima LFG, Lemos NB, Diniz AMS, Couto KM, Maia JHEG, Silva ACV, Azevedo Filho HRCD. Decompressive hemicraniectomy for acute ischemic stroke: A neurosurgical view in a pandemic COVID-19 time highlights of literature. Interdiscip Neurosurg 2022; 28:101485. [PMID: 35018284 PMCID: PMC8739822 DOI: 10.1016/j.inat.2021.101485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 12/21/2021] [Accepted: 12/30/2021] [Indexed: 01/08/2023]
Abstract
Background and purpose: The novel coronavirus, SARS-CoV-2, which was identified after the outbreak in Wuhan, China, in December 2019, has kept the whole world in tenterhooks due to its severe life-threatening nature of the infection. The World Health Organization (WHO) declared coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 a pandemic in 2020, an unprecedented challenge, having a high contagious life-threatening condition with unprecedented impacts for worldwide societies and health care systems. Neurologic symptoms related to SARS-CoV-2 have been described recently in the literature, and acute cerebrovascular disease is one of the most serious complications. The occurrence of large-vessel occlusion in young patients with COVID-19 infection has been exceedingly rare. In this article, we describe the profile of patients undergoing decompressive craniectomy for the treatment of intracranial hypertension by stroke associated with COVID-19 published so far. A narrative review of the central issue in focus was designed: decompressive craniectomy in a pandemic time.
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Key Words
- ARDS, acute respiratory distress syndrome
- COVID-19
- COVID-19, Coronavirus disease 2019
- CT, computed tomography
- CTA, Computed tomography angiography
- DHC, decompressive hemicraniectomy
- DWI, Diffusion-weighted imaging
- ECCO2R, Extracorporeal carbon dioxide removal
- ECMO, extracorporeal membrane oxygenation
- GCS, Glasgow coma scale
- Hemicraniectomy, Review
- ICU, intensive unit care
- MCA, middle cerebral artery
- MCE, malignant cerebral edema
- MRI, magnetic resonance imaging
- NIHSS, National Institutes of Health Stroke Scale
- SARS-CoV-2
- Stroke
- WHO, World Health Organization
- hACE2, angiotensin-converting enzyme 2
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Affiliation(s)
- Luiz Severo Bem Junior
- Department of Neurosurgery, Hospital da Restauração, Av. Gov. Agamenon Magalhães, s/n - Derby, Recife, PE 52171-011, Brazil.,Neuroscience Post-Graduate Program, Federal University of Pernambuco, Campus I - Lot. Cidade Universitaria, PB 58051-900, Brazil.,College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | | | - Artêmio José Araruna Dias
- College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | - Joaquim Fechine de Alencar Neto
- College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | - Luís Felipe Gonçalves de Lima
- College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | - Nilson Batista Lemos
- College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | - Andrey Maia Silva Diniz
- Federal University of Paraíba, Campus I - Lot. Cidade Universitaria, João Pessoa, PB 58051-900, Brazil
| | - Kaio Moreira Couto
- College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
| | | | - Ana Cristina Veiga Silva
- Neuroscience Post-Graduate Program, Federal University of Pernambuco, Campus I - Lot. Cidade Universitaria, PB 58051-900, Brazil
| | - Hildo Rocha Cirne de Azevedo Filho
- Department of Neurosurgery, Hospital da Restauração, Av. Gov. Agamenon Magalhães, s/n - Derby, Recife, PE 52171-011, Brazil.,Neuroscience Post-Graduate Program, Federal University of Pernambuco, Campus I - Lot. Cidade Universitaria, PB 58051-900, Brazil.,College of Medical Sciences, Unifacisa University Center, R. Manoel Cardoso Palhano, Itararé, 124-152, Campina Grande, PB 58408-326, Brazil
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Kondo Y, Kanzaki M, Ishima D, Usui R, Kimura A, Usui K, Amoh Y, Takeuchi Y, Kumabe T, Ako J, Miyaji K, Nishiyama K, Akutsu T. Cholesterol crystal embolism-related cerebral infarction: Magnetic resonance imaging and clinical characteristics. eNeurologicalSci 2022; 25:100388. [PMID: 34977369 PMCID: PMC8683713 DOI: 10.1016/j.ensci.2021.100388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/30/2021] [Accepted: 12/04/2021] [Indexed: 12/01/2022] Open
Abstract
Background and aims Cholesterol crystal embolism-related cerebral infarction (CCE-CI) is frequently misdiagnosed due to the lack of specific symptoms. To aid in differential diagnosis, this study comprehensively characterized the magnetic resonance imaging (MRI) and clinical manifestations of CCE-CI and compared these features to those of atherothrombotic cerebral infarction (ACI). Methods This single-center, retrospective, observational study was conducted at Kitasato University Hospital, Kanagawa, Japan. We identified 37 clinically or histopathologically confirmed CCE-CI cases and 110 ACI cases treated from January 2006 to May 2020. Groups were compared for mean age, sex ratio, clinical presentations, imaging manifestations, precipitating factors, comorbid conditions, medications, and smoking history. Results Of 37 eligible patients with CCE-CI, 10 (27.0%) received brain MRI, of which 8 (21.6%) exhibited high-intensity signals indicative of brain lesions on diffusion-weighted imaging (DWI). However, two patients with DWI lesions exhibited no detectable neurological abnormalities. Patients with CCE-CI frequently demonstrated bilateral DWI lesions involving the bilateral anterior and posterior circulation, a pattern absent in ACI (50% vs. 0%, p < 0.001). Compared to patients with ACI, CCE-CI patients also demonstrated significantly lower estimated glomerular filtration rate (p < 0.001) as well as more frequent eosinophilia (p = 0.006), atherosclerotic plaques ≥4-mm thick in the ascending aorta or proximal arch (p = 0.001), and aortic aneurysm (p < 0.001). Conclusions Patients with CCE-CI develop multiple DWI lesions across several vascular territories, even in the absence of neurological symptoms. Comorbid aortic aneurysm may increase CCE-CI risk. These findings could help in the differential diagnosis of CCE-CI. Diagnosis of CCE-CI is challenging due to nonspecific neurological symptoms. Brain DWI revealed multiple small ischemic lesions among patients with CCE-CI. CCE-CI was associated with atherosclerotic plaques in the ascending aorta and arch. CCE-CI was also associated with lower eGFR and higher blood eosinophil count. CCE-CI is associated with aortic aneurysm morbidity.
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Key Words
- ACI, Atherothrombotic cerebral infarction
- Atheroembolism
- Atherothrombotic cerebral infarction
- CAS, Carotid artery stenting
- CCE, Cholesterol crystal embolism
- CI, Confidence intervals
- CRP, C-reactive protein
- CTA, Computed tomography angiography
- Cerebral infarction
- Cholesterol crystal embolism
- Cholesterol crystal embolism-related cerebral infarction
- DWI, Diffusion-weighted imaging
- Diffusion-weighted imaging
- IRB, Institutional review board
- LDL, Low-density lipoprotein
- MRA, Magnetic resonance angiography
- MRI, Magnetic resonance imaging
- OR, Odds ratios
- PCI, Percutaneous coronary intervention
- TIA, Transient ischemic attack
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Affiliation(s)
- Yuko Kondo
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan
| | - Mami Kanzaki
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Daisuke Ishima
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Ryo Usui
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Ayato Kimura
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Kotaro Usui
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Yasuyuki Amoh
- Department of Dermatology, Kitasato University School of Medicine, Kanagawa, Japan
| | - Yasuo Takeuchi
- Department of Nephrology, Kitasato University School of Medicine, Kanagawa, Japan
| | - Toshihiro Kumabe
- Department of Neurosurgery, Kitasato University School of Medicine, Kanagawa, Japan
| | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Kanagawa, Japan
| | - Kagami Miyaji
- Department of Cardiovascular Surgery, Kitasato University School of Medicine, Kanagawa, Japan
| | - Kazutoshi Nishiyama
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
| | - Tsugio Akutsu
- Department of Neurology, Kitasato University School of Medicine, Kanagawa, Japan.,Cerebrovascular Center, Kitasato University Hospital, Kanagawa, Japan
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Khorasani A, Tavakoli MB, Saboori M, Jalilian M. Preliminary study of multiple b-value diffusion-weighted images and T1 post enhancement magnetic resonance imaging images fusion with Laplacian Re-decomposition (LRD) medical fusion algorithm for glioma grading. Eur J Radiol Open 2021; 8:100378. [PMID: 34632000 DOI: 10.1016/j.ejro.2021.100378] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/20/2021] [Accepted: 09/26/2021] [Indexed: 12/21/2022] Open
Abstract
LRD medical image fusion algorithm can be used for glioma grading. We can use the LRD fusion algorithm with MRI image for glioma grading. Fusing of DWI (b50) and T1 enhancement (T1Gd) by LRD, have highest diagnostic value for glioma grading.
Background Grade of brain tumor is thought to be the most significant and crucial component in treatment management. Recent development in medical imaging techniques have led to the introduce non-invasive methods for brain tumor grading such as different magnetic resonance imaging (MRI) protocols. Combination of different MRI protocols with fusion algorithms for tumor grading is used to increase diagnostic improvement. This paper investigated the efficiency of the Laplacian Re-decomposition (LRD) fusion algorithms for glioma grading. Procedures In this study, 69 patients were examined with MRI. The T1 post enhancement (T1Gd) and diffusion-weighted images (DWI) were obtained. To evaluated LRD performance for glioma grading, we compared the parameters of the receiver operating characteristic (ROC) curves. Findings We found that the average Relative Signal Contrast (RSC) for high-grade gliomas is greater than RSCs for low-grade gliomas in T1Gd images and all fused images. No significant difference in RSCs of DWI images was observed between low-grade and high-grade gliomas. However, a significant RSCs difference was detected between grade III and IV in the T1Gd, b50, and all fussed images. Conclusions This research suggests that T1Gd images are an appropriate imaging protocol for separating low-grade and high-grade gliomas. According to the findings of this study, we may use the LRD fusion algorithm to increase the diagnostic value of T1Gd and DWI picture for grades III and IV glioma distinction. In conclusion, this article has emphasized the significance of the LRD fusion algorithm as a tool for differentiating grade III and IV gliomas.
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Key Words
- ADC, apparent diffusion coefficient
- AUC, Aera Under Curve
- BOLD, blood oxygen level dependent imaging
- CBV, Cerebral Blood Volume
- DCE, Dynamic contrast enhancement
- DGR, Decision Graph Re-decomposition
- DWI, Diffusion-weighted imaging
- Diffusion-weighted images
- FA, flip angle
- Fusion algorithm
- GBM, glioblastomas
- GDIE, Gradient Domain Image Enhancement
- Glioma
- Grade
- IRS, Inverse Re-decomposition Scheme
- LEM, Local Energy Maximum
- LP, Laplacian Pyramid
- LRD, Laplacian Re-decomposition
- Laplacian Re-decomposition
- MLD, Maximum Local Difference
- MRI, magnetic resonance imaging
- MRS, Magnetic resonance spectroscopy
- MST, Multi-scale transform
- Magnetic resonance imaging
- NOD, Non-overlapping domain
- OD, overlapping domain
- PACS, PACS picture archiving and communication system
- ROC, receiver operating characteristic curve
- ROI, regions of interest
- RSC, Relative Signal Contrast
- SCE, Susceptibility contrast enhancement
- T1Gd, T1 post enhancement
- TE, time of echo
- TI, time of inversion
- TR, repetition time
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Sakhi S, Cholet S, Wehbi S, Isidor B, Cogne B, Vuillaumier-Barrot S, Dupré T, Detleft T, Schmitt E, Leheup B, Bonnet C, Feillet F, Muti C, Fenaille F, Bruneel A. MAN1B1-CDG: Three new individuals and associated biochemical profiles. Mol Genet Metab Rep 2021; 28:100775. [PMID: 34141584 DOI: 10.1016/j.ymgmr.2021.100775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 05/27/2021] [Accepted: 05/27/2021] [Indexed: 11/24/2022] Open
Abstract
Congenital disorders of glycosylation (CDG) constitute an ever-growing group of genetic diseases affecting the glycosylation of proteins. CDG individuals usually present with severe multisystem disorders. MAN1B1-CDG is a CDG with nonspecific clinical symptoms such as intellectual deficiency and developmental delay. Although up to 40 affected individuals were described so far, its final diagnosis is not straightforward using common biochemical methods due to the trace-level accumulation of defective glycan structures. In this study, we present three unreported MAN1B1-CDG individuals and propose a decision tree to reach diagnosis using a panel of techniques ranging from exome sequencing to gel electrophoresis and mass spectrometry. The occurrence of MAN1B1-CDG in patients showing unexplained intellectual disability and development delay, as well as a particular transferrin glycosylation profile, can be ascertained notably using matrix assisted laser desorption/ionization – time of flight (MALDI-TOF) mass spectrometry analysis of endo-β-acetylglucosaminidase H-released serum N-glycans. In addition to reporting new pathogenic variants and additional clinical signs such as hypersialorrhea, we highlight particular biochemical features of MAN1B1-CDG with potential glycoprotein-specific glycosylation defects.
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Key Words
- 2-DE, two-dimensional electrophoresis
- A1AT, α1-antitrypsin
- ApoC-III, apolipoprotein C-III
- BMI, body mass index
- CDG
- CDG, congenital disorder(s) of glycosylation
- CE, capillary electrophoresis
- DD, developmental delay
- DWI, Diffusion-weighted imaging
- ER, endoplasmic reticulum
- ESI-QTOF, electrospray ionization – quadrupole time of flight
- Endo H, endo-ß-N-acetylglucosaminidase H
- FLAIR, fluid-attenuated inversion recovery
- HPLC, high performance liquid chromatography
- Hpt, haptoglobin
- Hypersialorrhea
- ID, intellectual disability
- Intellectual disability
- M6, Man6GlcNAc2
- M8A/B/C, Man8GlcNAc2 lacking the first/middle/third terminal mannose
- M9, Man9GlcNAc2
- MALDI-TOF, matrix assisted laser desorption/ionization – time of flight
- MAN1B1
- MRI, magnetic resonance imaging
- MS, mass spectrometry
- Man, mannose
- N-glycan mass spectrometry
- PNGase F, peptide-N-glycosidase F
- Trf, transferrin
- WES, whole exome sequencing
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Thoresen M, Jary S, Walløe L, Karlsson M, Martinez-Biarge M, Chakkarapani E, Cowan FM. MRI combined with early clinical variables are excellent outcome predictors for newborn infants undergoing therapeutic hypothermia after perinatal asphyxia. EClinicalMedicine 2021; 36:100885. [PMID: 34308304 PMCID: PMC8257962 DOI: 10.1016/j.eclinm.2021.100885] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/16/2021] [Accepted: 04/16/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Binary prediction-models for outcome [death, cognition, presence and severity of cerebral palsy (CP)], using MRI and early clinical data applicable for individual outcome prediction have not been developed. METHODS From Dec 1st 2006 until Dec 31st 2013, we recruited 178 infants into a population-based cohort with moderate or severe hypoxic-ischaemic encephalopathy (HIE) including postnatal collapse (PNC, n = 12) and additional diagnoses (n = 12) using CoolCap/TOBY-trial entry-criteria including depressed amplitude-integrated EEG (aEEG). Early clinical/biochemical variables and MRI scans (median day 8) were obtained in 168 infants. Injury severity was scored for cortex, basal ganglia/thalami (BGT), white matter (WM) and posterior limb of the internal capsule, summating to a total injury score (TIS, range 0-11). Outcome was categorized as adverse or favourable at 18-24 months from Bayley-III domains (cut-off 85) and neurological examination including CP classification. FINDINGS HIE and entry-aEEG severity were stable throughout the study. Outcome was favourable in 133/178 infants and adverse in 45/178: 17 died, 28 had low Cognition/Language scores, (including 9 with severe CP and 6 mild); seven had mild CP with favourable cognitive outcome. WMxBGT product scores and TIS were strong outcome predictors, and prediction improved when clinical/biochemical variables were added in binary logistic regression. The Positive Predictive Value for adverse outcome was 88%, increasing to 95% after excluding infants with PNC and additional diagnoses. Using WMxBGT in the regression predicted 8 of the 9 children with severe CP. INTERPRETATION Binary logistic regression with WMxBGT or TIS and clinical variables gave excellent outcome prediction being 12% better than single variable cross-tabulation. Our MRI scoring and regression models are readily accessible and deserve investigation in other cohorts for group and individual prediction. FUNDING We thank the National Health Service (NHS) and our Universities and funders in UK and Norway: SPARKS, The Moulton Foundation, The Norwegian Research Council, The Lærdal Foundation for Acute Medicine and charitable donations for their support for cooling therapy.
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Key Words
- BGT, Basal ganglia/thalami
- BIC, Bayesian information criterion
- Basal ganglia and thalamus
- Bayley-III
- Bayley-III, Bayley Scales of Infant & Toddler Development 3rd edition
- CLC, Cognitive and Language Composite from the Bayley-III scales
- CP, Cerebral palsy
- CX, Cortex
- Cerebral palsy
- Cortex
- DWI, Diffusion-weighted imaging
- GA, Gestational age
- GMFCS, Gross Motor Function Classification System
- HIE, Hypoxic-ischaemic encephalopathy
- Hypoxic-ischaemic encephalopathy
- ILEA, International League Against Epilepsy
- IQR, Interquartile range
- LDH72h, Lactate dehydrogenase close to 72h post-asphyxial event
- LDHpeak, Highest LDH in the first 3 days
- Logistic regression
- MRI
- MRI, Magnetic Resonance Imaging
- Moderate or severe perinatal asphyxia
- NPV, Negative Predictive Value
- Neonatal seizures
- Neurodevelopmental outcome
- Outcome prediction
- PA, Predictive Accuracy
- PLIC, Posterior limb of the internal capsule
- PNC, Postnatal collapse
- PPV, Positive Predictive Value
- Posterior limb of the internal capsule
- RCT, Randomised controlled trial
- Se, Sensitivity
- Sp, Specificity
- T1 and T2
- TH, Therapeutic hypothermia
- TIS, Total injury score
- Therapeutic hypothermia
- WMxBGT, Product of white matter and basal ganglia/thalami scores
- White matter
- aEEG, amplitude integrated electroencephalography
- h, hours
- lactatehrs<5mmol, plasma lactate recovery time
- m, months
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Affiliation(s)
- Marianne Thoresen
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
- Section for Physiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Sally Jary
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Lars Walløe
- Section for Physiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Mathias Karlsson
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
- Department of Medical Sciences, Biomedical Structure and Function, Uppsala University, Uppsala, Sweden
| | - Miriam Martinez-Biarge
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
- Department of Paediatrics, Imperial College London, London, United Kingdom
| | - Ela Chakkarapani
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Frances M Cowan
- Neonatal Neuroscience, Translational Health Sciences, University of Bristol, Bristol, United Kingdom
- Department of Paediatrics, Imperial College London, London, United Kingdom
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Yadav RK, Jiang X, Chen J. Differentiating benign from malignant pancreatic cysts on computed tomography. Eur J Radiol Open 2020; 7:100278. [PMID: 33163586 PMCID: PMC7607418 DOI: 10.1016/j.ejro.2020.100278] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 09/11/2020] [Accepted: 09/23/2020] [Indexed: 12/19/2022] Open
Abstract
CT can distinguish between benign and premalignant or malignant pancreatic cysts. Solid component and septation were the only CT features that could differentiate benign from malignant cysts. Cyst wall enhancements on CT were more commonly observed in premalignant or malignant cysts than in benign cysts. CT is a necessary diagnostic modality to preoperatively detect and characterize pancreatic lesions.
Purpose It is important to identify features on computed tomography (CT) that can distinguish between benign and premalignant or malignant pancreatic cysts to avoid unnecessary surgeries. This study investigated the preoperative diagnostic evaluation of cystic pancreatic lesions to determine how advanced imaging and clinical factors should guide management. Methods In total, 53 patients with 27 benign and 26 premalignant or malignant cysts were enrolled. CT features of the cysts were compared using univariate and multivariate analyses. Results On univariate analysis, a solid component (p < 0.01), septation (p < 0.01), location (p < 0.01), border (p < 0.01), wall enhancement (p = 0.01), lesion margins (p < 0.01), pancreatic atrophy (p = 0.04), and a cystic wall (p < 0.01) were all significantly different between benign and premalignant or malignant cysts. On multivariate analysis, only a solid component (p < 0.01) and septation (p < 0.01) were significant. Conclusion A thin cystic wall, uniform homogeneity, a clear border, the presence of septation, pancreatic atrophy, and the absence of both wall enhancements and solid components were more frequently seen in benign cysts. A thick wall, lack of homogeneity, the presence of wall enhancements and solid components, absence of septation, only a small degree of pancreatic atrophy, and unclear borders were more frequent among premalignant or malignant cysts. The only CT features to differentiate benign from premalignant or malignant cysts were a solid component and septation.
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Key Words
- CEA, Carcinoembryonic antigen
- CPR, Curved planar reformation
- CTA, CT angiography
- DWI, Diffusion-weighted imaging
- ERCP, Endoscopic retrograde cholangiopancreatography
- FDG PET, Fluorodeoxyglucose PET
- FNA, Fine-needle aspiration
- HASTE, Half-Fourier acquisition single-shot turbo spin-echo
- IPMN, Intraductal papillary mucinous neoplasia
- MCA, Mucinous cystadenoma
- MCB, Mucinous cystic borderline tumor
- MCC, Mucinous cystadenocarcinoma
- MCN, Mucinous cystic neoplasm
- MPD, Main pancreatic duct
- MPR, Multi-planar reformation
- MRA, MR angiography
- MRCP, MR cholangiopancreatography
- MRI, Magnetic resonance imaging
- MSCT, Multi-slice helical computed tomography
- PACS, Picture archiving and communicating system
- PCN, Cystic neoplasms of the pancreas
- PDAC, Pancreatic ductal adenocarcinoma
- PET, Positron emission computed tomography
- Pancreatic cystic lesions
- Pancreatic ductal adenocarcinoma
- Pancreatic neoplasm
- ROI, Region of interest
- SCA, Serous cystadenoma
- SMA, Serous microcystic adenoma
- US, Ultrasonography
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Affiliation(s)
- Rajesh Kumar Yadav
- Second Affiliated Hospital, Department of Radiology, Sun Yat-sen University, Guangzhou 510000, China
- Corresponding author: Current Address: Novus Health Wellness, 4808 Munson St NW, OH 44718 USA.
| | - Xinhua Jiang
- Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Jianyu Chen
- Second Affiliated Hospital, Department of Radiology, Sun Yat-sen University, Guangzhou 510000, China
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Kikuchi Y, Miyamoto N, Urushida Y, Shimizu C, Amari M, Kawarabayashi T, Nakamura T, Takatama S, Naito I, Ikeda Y, Takatama M, Shoji M. Successful basilar artery dilatation in pure bilateral cerebral peduncular infarctions using balloon angioplasty. eNeurologicalSci 2020; 21:100282. [PMID: 33102821 PMCID: PMC7569187 DOI: 10.1016/j.ensci.2020.100282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/04/2020] [Accepted: 10/07/2020] [Indexed: 11/19/2022] Open
Abstract
An extremely rare case of bilateral cerebral peduncular infarctions (BCPI) is reported. The detection of the pure Mickey Mouse ears sign on MRI is an indicator of a need for reperfusion therapy. Severe stenosis of the basilar artery (BA) and a poor collateral supply from both posterior cerebral arteries were seen. Balloon angioplasty for the BA stenosis ameliorated the stenosis and produced a favorable outcome.
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Key Words
- BA, Basilar artery
- BCPI, Bilateral cerebral peduncular infarctions
- Balloon angioplasty
- Bilateral cerebral peduncular infarctions
- Collateral circulation
- DWI, Diffusion-weighted imaging
- FLAIR, Fluid-attenuated inversion recovery
- HbA1c, Glycated hemoglobin
- LDL, Low-density lipoprotein
- MRA, Magnetic resonance angiography
- MRI, Magnetic resonance imaging
- Mickey mouse ears sign
- PCA, Posterior cerebral artery
- PICA, Posterior inferior cerebellar artery
- PcomA, Posterior communicating artery
- SCA, Superior cerebellar artery
- Vertebrobasilar artery stenosis
- mRS, modified Rankin Scale
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Affiliation(s)
- Yutaro Kikuchi
- Department of Neurology, Isesaki Municipal Hospital, 12-1 Tsunatorihonmachi, Isesaki, Gunma 372-0817, Japan
| | - Naoko Miyamoto
- Department of Neurosurgery, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Yuki Urushida
- Department of Neurology, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Chisato Shimizu
- Department of Neurology, National Hospital Organization Takasaki General Medical Center, 36 Takamatsu-cho,Takasaki, Gunma 370-0829, Japan
| | - Masakuni Amari
- Department of Neurology, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Takeshi Kawarabayashi
- Department of Neurology, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Takumi Nakamura
- Department of Neurology, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma 371-8511, Japan
| | - Shin Takatama
- Department of Neurosurgery, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Isao Naito
- Department of Neurosurgery, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University Graduate School of Medicine, 3-39-22 Showa-machi, Maebashi, Gunma 371-8511, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
| | - Mikio Shoji
- Department of Neurology, Geriatrics Research Institute and Hospital, 3-26-8 Otomocho, Maebashi, Gunma 371-0847, Japan
- Corresponding author.
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Kitazaki Y, Ueno A, Maeda K, Asano R, Satomi H, Nishio T, Nakamoto Y, Hamano T. A case of longitudinally extensive transverse myelitis with an isolated pontine lesion following epidural and spinal anesthesia for cesarean section. eNeurologicalSci 2020; 21:100264. [PMID: 32885056 PMCID: PMC7452523 DOI: 10.1016/j.ensci.2020.100264] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/03/2020] [Accepted: 08/12/2020] [Indexed: 11/25/2022] Open
Abstract
Severe neurologic complications following epidural and spinal anesthesia rarely occur. Transverse myelitis has been reported as a rare complication of epidural or spinal anesthesia. We report a case of longitudinally extensive transverse myelitis and an isolated pontine lesion, which responded to immunotherapy. The patient was a 31-year-old pregnant woman who underwent elective cesarean section under epidural and spinal anesthesia. Though the insertions of the epidural and spinal catheters were smooth, she experienced back pain and transient hearing loss during epidural anesthesia. Postoperatively, she exhibited severe motor weakness in both lower extremities, neuralgia below the level of Th10 dermatome, and urinary retention. Magnetic resonance imaging showed longitudinally extensive transverse myelitis from T6 to T10 with a ring-shaped enhanced lesion and an isolated pontine lesion. These findings on magnetic resonance imaging were suggestive of autoimmune diseases such as neuromyelitis optica. The patient was diagnosed with an immunoreactive disease triggered by epidural or spinal anesthesia and was administered high-dose methylprednisolone, which led to the improvement in clinical symptoms. Clinicians should be aware of the possibility of the development of longitudinally extensive transverse myelitis and isolated pontine lesions after cesarean section under epidural and spinal anesthesia.
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Key Words
- AQP4, anti-aquaporin-4
- Autoimmune diseases
- CSF, cerebrospinal fluid
- DWI, Diffusion-weighted imaging
- Epidural anesthesia
- Immunotherapy
- LETM, Longitudinally extensive transverse myelitis
- Longitudinally extensive transverse myelitis
- MMT, manual muscle tests
- MRI, Magnetic resonance imaging
- MS, Multiple sclerosis
- NBD, Neuro-Behcet's disease
- NMO, neuromyelitis optica
- PCEA, Patient-controlled epidural analgesia
- POD, Postoperative day
- PSL, prednisolone
- Pontine lesion
- STIR, Short TI-inversion recovery
- Spinal anesthesia
- TM, Transverse myelitis
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Affiliation(s)
- Yuki Kitazaki
- Department of Neurology, Fukui-ken Saiseikai Hospital, Fukui, Japan.,Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Asako Ueno
- Department of Neurology, Fukui-ken Saiseikai Hospital, Fukui, Japan.,Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Kenichiro Maeda
- Department of Neurology, Fukui-ken Saiseikai Hospital, Fukui, Japan.,Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Rei Asano
- Department of Neurology, Fukui-ken Saiseikai Hospital, Fukui, Japan.,Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hiroyuki Satomi
- Department of Obstetrics and Gynecology, Fukui-ken Saiseikai Hospital, Fukui, Japan
| | - Taro Nishio
- Department of Anesthesiology, Fukui-ken Saiseikai Hospital, Fukui, Japan
| | - Yasunari Nakamoto
- Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tadanori Hamano
- Second Department of Internal Medicine (Neurology), Faculty of Medical Sciences, University of Fukui, Fukui, Japan.,Department of Aging and Dementia, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
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Toyooka T, Wada K, Otani N, Tomiyama A, Takeuchi S, Tomura S, Nishida S, Ueno H, Nakao Y, Yamamoto T, Mori K. Potential Risks and Limited Indications of the Supraorbital Keyhole Approach for Clipping Internal Carotid Artery Aneurysms. World Neurosurg X 2019; 2:100025. [PMID: 31218296 PMCID: PMC6580886 DOI: 10.1016/j.wnsx.2019.100025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 02/15/2019] [Indexed: 11/17/2022] Open
Abstract
Background Internal carotid artery (ICA) aneurysm may be a good target for supraorbital keyhole clipping. We discuss the surgical indications and risks of keyhole clipping for ICA aneurysms based on long-term clinical and radiologic results. Methods This was a retrospective analysis of 51 patients (aged 35–75 years, mean 62 years) with ICA aneurysms (mean 5.8 ± 1.8 mm) who underwent clipping via the supraorbital keyhole approach between 2005 and 2017. Neurologic and cognitive functions were examined by several methods, including the modified Rankin Scale and Mini-Mental Status Examination. The state of clipping was assessed 1 year and then every few years after the operation. Results Complete clipping was confirmed in 45 patients (88.2%), dog-ear remnants behind the clip persisted in 4 patients, and wrapping was performed in 2 patients. Mean duration of postoperative hospitalization was 3.4 ± 6.9 days. The mean clinical follow-up period was 6.6 ± 3.2 years. The overall mortality was 0, and overall morbidity (modified Rankin Scale score ≥2 or Mini-Mental Status Examination <24) was 3.9%. Completely clipped aneurysms did not show any recurrence during the mean follow-up period of 6.3 ± 3.1 years, but the 2 (3.9%) aneurysms with neck remnants showed regrowth. Conclusions The risk of neck remnant behind the clip blade is a drawback of supraorbital keyhole clipping. The surgical indication requires preoperative simulation and careful checking of the clip blade state is essential.
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Key Words
- 3D, 3-Dimensional
- AcomA, Anterior communicating artery
- AntChoA, Anterior choroidal artery
- BDI, Beck Depression Inventory
- CT, Computed tomography
- CTA, Computed tomography angiography
- Clipping
- DSA, Digital subtraction angiography
- DWI, Diffusion-weighted imaging
- HAM-D, Hamilton Depression Scale
- HDS-R, Revised Hasegawa Dementia Scale
- ICA, Internal carotid artery
- ISUIA, International Study of Unruptured Intracranial Aneurysms
- Internal carotid artery
- Keyhole surgery
- MCA, Middle cerebral artery
- MMSE, Mini-Mental Status Examination
- MRI, Magnetic resonance imaging
- NIHSS, National Institutes of Health Stroke Scale
- PcomA, Posterior communicating artery
- UCA, Unruptured cerebral aneurysm
- Unruptured cerebral aneurysm
- mRS, Modified Rankin Scale
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Affiliation(s)
- Terushige Toyooka
- Department of Neurosurgery, Tokyo General Hospital, Tokyo, Japan.,Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Kojiro Wada
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Naoki Otani
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Arata Tomiyama
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Satoru Takeuchi
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Satoshi Tomura
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Sho Nishida
- Department of Neurosurgery, National Defense Medical College, Saitama, Japan
| | - Hideaki Ueno
- Department of Neurosurgery, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Yasuaki Nakao
- Department of Neurosurgery, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Takuji Yamamoto
- Department of Neurosurgery, Juntendo University, Shizuoka Hospital, Shizuoka, Japan
| | - Kentaro Mori
- Department of Neurosurgery, Tokyo General Hospital, Tokyo, Japan.,Department of Neurosurgery, National Defense Medical College, Saitama, Japan
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11
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Feis RA, Bouts MJRJ, Panman JL, Jiskoot LC, Dopper EGP, Schouten TM, de Vos F, van der Grond J, van Swieten JC, Rombouts SARB. Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI. Neuroimage Clin 2018; 20:188-196. [PMID: 30094168 PMCID: PMC6072645 DOI: 10.1016/j.nicl.2018.07.014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 06/29/2018] [Accepted: 07/15/2018] [Indexed: 11/30/2022]
Abstract
Background Classification models based on magnetic resonance imaging (MRI) may aid early diagnosis of frontotemporal dementia (FTD) but have only been applied in established FTD cases. Detection of FTD patients in earlier disease stages, such as presymptomatic mutation carriers, may further advance early diagnosis and treatment. In this study, we aim to distinguish presymptomatic FTD mutation carriers from controls on an individual level using multimodal MRI-based classification. Methods Anatomical MRI, diffusion tensor imaging (DTI) and resting-state functional MRI data were collected in 55 presymptomatic FTD mutation carriers (8 microtubule-associated protein Tau, 35 progranulin, and 12 chromosome 9 open reading frame 72) and 48 familial controls. We calculated grey and white matter density features from anatomical MRI scans, diffusivity features from DTI, and functional connectivity features from resting-state functional MRI. These features were applied in a recently introduced multimodal behavioural variant FTD (bvFTD) classification model, and were subsequently used to train and test unimodal and multimodal carrier-control models. Classification performance was quantified using area under the receiver operator characteristic curves (AUC). Results The bvFTD model was not able to separate presymptomatic carriers from controls beyond chance level (AUC = 0.570, p = 0.11). In contrast, one unimodal and several multimodal carrier-control models performed significantly better than chance level. The unimodal model included the radial diffusivity feature and had an AUC of 0.646 (p = 0.021). The best multimodal model combined radial diffusivity and white matter density features (AUC = 0.680, p = 0.005). Conclusions FTD mutation carriers can be separated from controls with a modest AUC even before symptom-onset, using a newly created carrier-control classification model, while this was not possible using a recent bvFTD classification model. A multimodal MRI-based classification score may therefore be a useful biomarker to aid earlier FTD diagnosis. The exclusive selection of white matter features in the best performing model suggests that the earliest FTD-related pathological processes occur in white matter.
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Key Words
- (bv)FTD, (behavioural variant) Frontotemporal dementia
- (rs-f)MRI, (resting-state functional) Magnetic resonance imaging
- 3DT1w, 3-dimensional T1-weighted
- AUC, Area under the receiver operating characteristics curve
- AxD, Axial diffusivity
- C9orf72, Chromosome 9 open reading frame 72
- C9orf72, human
- DTI, Diffusion tensor imaging
- DWI, Diffusion-weighted imaging
- Diffusion Tensor Imaging
- FA, Fractional anisotropy
- FCor, Full correlations
- Frontotemporal dementia
- GM, Grey matter
- GMD, Grey matter density
- GRN protein, human
- GRN, Progranulin
- ICA, Independent component analysis
- MAPT protein, human
- MAPT, Microtubule-associated protein Tau
- MD, Mean diffusivity
- MMSE, Mini-mental state examination
- Multimodal MRI
- Pcor, Sparse L1-regularised partial correlations
- RD, Radial diffusivity
- ROC, Receiver operating characteristics
- Resting-state functional MRI
- TBSS, Tract-based spatial statistics
- WM, White matter
- WMD, White matter density
- classification
- machine learning
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Affiliation(s)
- Rogier A Feis
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands.
| | - Mark J R J Bouts
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands.
| | - Jessica L Panman
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands.
| | - Lize C Jiskoot
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands.
| | - Elise G P Dopper
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands; Alzheimer Centre & Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, the Netherlands.
| | - Tijn M Schouten
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands.
| | - Frank de Vos
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands.
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands.
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands; Department of Clinical Genetics, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, the Netherlands.
| | - Serge A R B Rombouts
- Department of Radiology, Leiden University Medical Centre, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands.
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12
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Ho MJ, Göricke SL, Mummel P, Mönninghoff C, Wrede K, Wanke I. Stent-assisted treatment of ruptured intracranial aneurysms in the acute phase: A single center experience. eNeurologicalSci 2018; 10:31-36. [PMID: 29736426 PMCID: PMC5933999 DOI: 10.1016/j.ensci.2018.01.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 01/08/2018] [Accepted: 01/11/2018] [Indexed: 12/02/2022] Open
Abstract
Introduction The purpose of this study was to analyze the results of patients with ruptured aneurysms who were treated with a specific microstent in the acute phase of subarachnoid hemorrhage. Methods Data from patients with acutely-ruptured intracranial aneurysm treated with the Neuroform stent in the period between 2003 and 2016 were retrospectively assessed, addressing aneurysm occlusion and clinical outcome with a focus on periprocedural complications. Results Twenty-nine consecutive patients with ruptured intracranial aneurysms were included in the analysis. Periprocedural hemorrhagic complications were stated in six patients, leading to death in four. Thromboembolic complications were observed in seven patients, among whom only one affected the clinical outcome with death due to basilar thrombosis. Immediate complete occlusion and occlusion with residual neck was achieved in 79.3% of cases. Conclusion Stent-assisted coiling of acutely-ruptured aneurysms achieves good immediate aneurysm occlusion. Rates of intra- and periprocedural adverse events observed in this series were significant, but did not translate to corresponding morbidity and mortality in all cases. The retrospective analysis did not allow assessing the overall risks of endovascular therapy with stent use in ruptured and complex aneurysm when compared to the overall risks with other alternative options. SAC of acutely ruptured aneurysms achieves good immediate aneurysm occlusion. Adverse events were frequent, but did not translate to morbidity and mortality in all cases. SAC was only applied when alternative strategies would not be considered safe and sufficient.
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Key Words
- AComA, Anterior communicating artery
- AICA, anterior inferior cerebellar artery
- Aneurysm treatment
- BA, Basilar artery
- Cerebral ruptured aneurysm
- DSA, Digital subtraction angiography
- DWI, Diffusion-weighted imaging
- EVD, External ventricular drainage
- HH, Hunt and Hess
- Hemorrhagic complications
- ICA, Internal carotid artery
- MR, Magnetic resonance
- PICA, Posterior inferior cerebellar artery
- PcomA, Posterior communicating artery
- Stent assisted coil embolization
- Subarachnoid hemorrhage
- TOF, Time of flight
- VA, Vertebral artery
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Affiliation(s)
- Michael J Ho
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - Sophia L Göricke
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany
| | - Petra Mummel
- Department of Neurology, University Hospital of Essen, Germany
| | - Christoph Mönninghoff
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany
| | - Karsten Wrede
- Department of Neurosurgery, University Hospital Essen, Germany
| | - Isabel Wanke
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany.,Klinik Hirslanden, Neuroradiology, Zurich, Switzerland
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13
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Grover VP, Tognarelli JM, Crossey MM, Cox IJ, Taylor-Robinson SD, McPhail MJ. Magnetic Resonance Imaging: Principles and Techniques: Lessons for Clinicians. J Clin Exp Hepatol 2015; 5:246-55. [PMID: 26628842 DOI: 10.1016/j.jceh.2015.08.001] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 08/10/2015] [Indexed: 12/12/2022] Open
Abstract
The development of magnetic resonance imaging (MRI) for use in medical investigation has provided a huge forward leap in the field of diagnosis, particularly with avoidance of exposure to potentially dangerous ionizing radiation. With decreasing costs and better availability, the use of MRI is becoming ever more pervasive throughout clinical practice. Understanding the principles underlying this imaging modality and its multiple applications can be used to appreciate the benefits and limitations of its use, further informing clinical decision-making. In this article, the principles of MRI are reviewed, with further discussion of specific clinical applications such as parallel, diffusion-weighted, and magnetization transfer imaging. MR spectroscopy is also considered, with an overview of key metabolites and how they may be interpreted. Finally, a brief view on how the use of MRI will change over the coming years is presented.
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Key Words
- ADC, apparent diffusion coefficient
- CSI, Chemical shift imaging
- DTI, diffusion tensor imaging
- DWI, Diffusion-weighted imaging
- FA, Fractional anisotropy
- FID, free induction decay
- MRI, magnetic resonance imaging
- MTR, MT ratios
- NMR, nuclear magnetic resonance
- PRESS, Point-resolved spectroscopy
- RA, relative anisotropy
- RF, radiofrequency
- SNR, signal-to-noise ratio
- STEAM, Stimulated echo acquisition mode
- TR, repetition time
- magnetic resonance imaging
- magnetic resonance spectroscopy
- medical physics
- nuclear magnetic resonance
- nuclear medicine
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