The association between aortic regurgitation and undetermined embolic infarction with aortic complex plaque

2017 ◽  
Vol 13 (4) ◽  
pp. 391-399 ◽  
Author(s):  
Dae-Won Kim ◽  
Jung Sun Cho ◽  
Jae Yeong Cho ◽  
Kye Hun Kim ◽  
Byung Joo Sun ◽  
...  

Background Retrograde embolism from the descending thoracic aorta is one possible cause of undetermined ischemic stroke. Significant aortic regurgitation can increase the amount of reversed flow in the thoracic aorta and thus is associated with an increased incidence of stroke. Aims This study aimed to examine the association between significant aortic regurgitation and undetermined embolic infarction with aortic complex plaques. Methods This study included 380 patients with undetermined embolic stroke who did not have abnormal flow such as atrial septal defect, patent foramen ovale determined by agitated saline bubble test, intracardiac thrombi on transesophageal echocardiography, atrial fibrillation, or small vessel stroke, cerebral artery, and carotid stenosis on the brain magnetic resonance imaging. The patients were divided into the complex aortic plaques group (n = 63), which was defined as having plaque with >4 mm in thickness, ulceration, or high mobility, and the no complex aortic plaques group (n = 317). Results Transesophageal echocardiography with a bubble study, brain MRI, and laboratory tests were performed for all subjects. Significant aortic regurgitation was more prevalent in patients with undetermined embolic stroke and complex aortic plaques than in patients without complex aortic plaques (adjusted OR = 4.981; 95% CI = 1.323–18.876, P = 0.028). In addition, the distribution of complex aortic plaques according to the severity of aortic regurgitation in patients with undetermined embolic stroke had a tendency toward the ascending thoracic aorta and proximal aortic arch. Conclusions Significant aortic regurgitation may affect undetermined embolic stroke in patients with complex aortic plaques.

Author(s):  
Ghazaleh Jamalipour Soufi ◽  
Siavash Iravan

Pelizaeus-Merzbacher Disease (PMD), as a rare genetically x-linked leukodystrophy, is a disorder of proteolipid protein expression in myelin formation. This disorder is clinically presented by neurodevelopmental delay and abnormal pendular eye movements. The responsible gene for this disorder is the proteolipid protein gene (PLP1). Our case was a oneyear-old boy referred to the radiology department for evaluating the Central Nervous System (CNS) development by brain Magnetic Resonance Imaging (MRI). Clinically, he demonstrated neuro-developmental delay symptoms. The brain MRI results indicated a diffuse lack of normal white matter myelination. This case report should be considered about the possibilityof PMD in the brain MRI of patients who present a diffuse arrest of normal white matter myelination.


2019 ◽  
Vol 9 (3) ◽  
pp. 569 ◽  
Author(s):  
Hyunho Hwang ◽  
Hafiz Zia Ur Rehman ◽  
Sungon Lee

Skull stripping in brain magnetic resonance imaging (MRI) is an essential step to analyze images of the brain. Although manual segmentation has the highest accuracy, it is a time-consuming task. Therefore, various automatic segmentation algorithms of the brain in MRI have been devised and proposed previously. However, there is still no method that solves the entire brain extraction problem satisfactorily for diverse datasets in a generic and robust way. To address these shortcomings of existing methods, we propose the use of a 3D-UNet for skull stripping in brain MRI. The 3D-UNet was recently proposed and has been widely used for volumetric segmentation in medical images due to its outstanding performance. It is an extended version of the previously proposed 2D-UNet, which is based on a deep learning network, specifically, the convolutional neural network. We evaluated 3D-UNet skull-stripping using a publicly available brain MRI dataset and compared the results with three existing methods (BSE, ROBEX, and Kleesiek’s method; BSE and ROBEX are two conventional methods, and Kleesiek’s method is based on deep learning). The 3D-UNet outperforms two typical methods and shows comparable results with the specific deep learning-based algorithm, exhibiting a mean Dice coefficient of 0.9903, a sensitivity of 0.9853, and a specificity of 0.9953.


2021 ◽  
Vol 23 (07) ◽  
pp. 516-529
Author(s):  
Reshma L ◽  
◽  
Sai Priya Nalluri ◽  
Priya R Sankpal ◽  
◽  
...  

In this paper, a user-friendly system has been developed which will provide the result of medical analysis of digital images like magnetization resonance of image scan of the brain for detection and classification of dementia. The small structural differences in the brain can slowly and gradually become a major disease like dementia. The progression of dementia can be slowed when identified early. Hence, this paper aims at developing a robust system for classification and identifying dementia at the earliest. The method used in this paper for initial disclosure and diagnosis of dementia is deep learning since it can give important results in a shorter period of time. Deep Learning methods such as K-means clustering, Pattern Recognition, and Multi-class Support Vector Machine (SVM) have been used to classify different stages of dementia. The goal of this study is to provide a user interface for deep learning-based dementia classification using brain magnetic resonance imaging data. The results show that the created method has an accuracy of 96% and may be utilized to detect people who have dementia or are in the early stages of dementia.


2021 ◽  
Author(s):  
Bingxin Zhao ◽  
Tengfei Li ◽  
Zirui Fan ◽  
Yue Yang ◽  
Xifeng Wang ◽  
...  

Cardiovascular health interacts with cognitive and psychological health in complex ways. Yet, little is known about the phenotypic and genetic links of heart-brain systems. Using cardiac and brain magnetic resonance imaging (CMR and brain MRI) data from over 40,000 UK Biobank subjects, we developed detailed analyses of the structural and functional connections between the heart and the brain. CMR measures of the cardiovascular system were strongly correlated with brain basic morphometry, structural connectivity, and functional connectivity after controlling for body size and body mass index. The effects of cardiovascular risk factors on the brain were partially mediated by cardiac structures and functions. Using 82 CMR traits, genome-wide association study identified 80 CMR-associated genomic loci (P < 6.09 * 10^{-10}), which were colocalized with a wide spectrum of heart and brain diseases. Genetic correlations were observed between CMR traits and brain-related complex traits and disorders, including schizophrenia, bipolar disorder, anorexia nervosa, stroke, cognitive function, and neuroticism. Our results reveal a strong heart-brain connection and the shared genetic influences at play, advancing a multi-organ perspective on human health and clinical outcomes.


2018 ◽  
Vol 36 (05) ◽  
pp. 545-554 ◽  
Author(s):  
Marina Ayrapetyan ◽  
Kiran Talekar ◽  
Kathleen Schwabenbauer ◽  
David Carola ◽  
Kolawole Solarin ◽  
...  

Objective To determine the short-term outcomes (abnormal brain magnetic resonance imaging [MRI]/death) in infants born with a 10-minute Apgar score of 0 who received therapeutic hypothermia and compare them with infants with higher scores. Study Design This is a retrospective review of 293 neonates (gestational age ≥ 35 weeks) born between November 2006 and October 2015 admitted with hypoxic-ischemic encephalopathy who received therapeutic hypothermia. Results of brain MRIs were assessed by the basal ganglia/watershed scoring system. Short-term outcomes were compared between infants with Apgar scores of 0, 1 to 4, and ≥5 at 10 minutes. Results Eight of 17 infants (47%) with an Apgar of 0 at 10 minutes survived, having 4 (24%) without abnormalities on the brain MRI and 7 (41%) without severe abnormalities. There was no significant difference in the combined outcomes of “death/abnormal MRI” and “death/severe abnormalities on the MRI” between infants with Apgar scores of 0 and 1 to 4. Follow-up data were available for six of eight surviving infants, and none had moderate or severe neurodevelopmental impairment. Conclusion In the cooling era, 47% of infants with no audible heart rate at 10 minutes and who were admitted to the neonatal intensive care unit survived; 24% without abnormalities on the brain MRI and 41% without severe abnormalities.


2020 ◽  
Author(s):  
Shinsuke Koike ◽  
Saori C Tanaka ◽  
Tomohisa Okada ◽  
Toshihiko Aso ◽  
Michiko Asano ◽  
...  

AbstractPsychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (FY2018 ∼ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. The Harmonization protocol (HARP) was established for five high-quality 3T scanners to obtain multimodal brain images including T1 and T2-weighted, resting state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, providing high reproducibility and sensitivity to subject-specific connectome. A total of 75 TS, as well as patients with various psychiatric and neurological disorders, are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a rigorous, prospective harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice.


2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Soha Khan ◽  
Asma AlNajjar ◽  
Abdullah Alquaydheb ◽  
Shahpar Nahrir

Celiac disease epilepsy and occipital calcification (CEC) syndrome is a rare, emerging disease first described in 1992. To date, fewer than 200 cases have been reported worldwide. CEC syndrome is generally thought to be a genetic, noninherited, and ethnically and geographically restricted disease in Mediterranean countries. However, we report the first ever case of probable CEC in a Saudi patient. Furthermore, the patient manifested a magnitude of brain magnetic resonance imaging (MRI) signal abnormalities during the periictal period which, to the best of our knowledge, has never been described in CEC. The brain MRI revealed diffusion-weighted imaging (DWI) restriction with a concordant area of apparent diffusion coefficient (ADC) hypointensity around bilateral occipital area of calcification. An imbalance between the heightened energy demand during ictal phase of the seizure and unadjusted blood supply may have caused an electric pump failure and cytotoxic edema, which then led to DWI/ADC signal alteration.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4214-4214
Author(s):  
Yoshiaki Abe ◽  
Kentaro Narita ◽  
Hiroki Kobayashi ◽  
Akihiro Kitadate ◽  
Masami Takeuchi ◽  
...  

Abstract Introduction: Neurological symptoms related to the involvement of the central nervous system (CNS) have been commonly observed at diagnosis and at relapse in intravascular large B-cell lymphoma (IVLBCL). Although various patterns of abnormal findings on brain magnetic resonance imaging (MRI) in patients with IVLBCL have been reported, most of them were from case reports or small case series of selected patients.Hence, we aimed to investigate the prevalence and clinical value of abnormal findings detected using brain MRI in patients with IVLBCL regarding diagnosis and prognosis. Methods: A total of 33 consecutive patients diagnosed with IVLBCL who underwent treatment at Kameda Medical Center between 1998 and 2017 were available for data of routine pretreatment brain MRI.The diagnosis of IVLBCL was pathologically made by an expert hematopathologist (KT) in all patients. Brain MRI was performed as previously reported, and the abnormalities were classified into the following 4patterns by 2 neuroradiologists in consensus (Figure 1): (A) hyperintense lesion in the pons on T2-weighted imaging (T2WI), (B) nonspecific white matter lesions, (C) infarct-like lesions, and (D) meningeal thickening and/or enhancement. We subsequently identified 77 consecutive patients (52 patients at initial presentation and 25 patients at relapse) with pathologically diagnosed diffuse large B-cell lymphoma (DLBCL) without IVLBCL and 41 patients who received random-skin biopsy on the suspicion of IVLBCL but were found to be negative, as control groups for the presence or absence of hyperintense lesions in the pons. Results: Pretreatment brain MRI revealed abnormal findings in 29 (87.9%) patients. Hyperintense lesions in the pons on T2WI was the most common abnormal finding and was detected in 19 (65.5%) patients. Among them, 10 (52.6%) patients did not have impaired consciousness (Figure 2). Among the 7 patients in whom hyperintense lesions in the pons on T2WI was the sole abnormality, 5 patients (71.4%) did not have impaired consciousness. Infarct-like lesions were detected in 8 (27.6%) patients, and impaired consciousness was more frequent in patients with this pattern than in those without (87.5% vs. 28.0%; P=0.005). Nonspecific white matter lesions and meningeal thickening and/or enhancement were detected in 14 (48.3%) and 4 (13.8%) patients, respectively. No significant difference in overall survival (OS) was detected between patients with and without hyperintense lesions in the pons on T2WI (Figure 3). Patients with nonspecific white matter lesions had relatively shorter OS than those without the finding, although the difference was not statistically significant (median OS, 19.8 months vs. not achieved; P=0.057). Infarct-like lesions were associated with unfavorable survival (median OS, 12.5 months vs. not achieved; P=0.030). Follow-up brain MRI revealed improvements in abnormal findings in most of the patients who responded to chemotherapy (Figure 4). Furthermore, postmortem examinations revealed pathological changes in the brain related to the lymphoma lesions, indicating that these MRI findings might represent these lesions of the brain. Next, we reviewed findings on brain MRI in 77 control patients with DLBCL without IVLBCL. Among them, 16 (20.8%) patients had concomitant CNS involvement of lymphoma. No patients harbored hyperintense lesions in the pons, in contrast with the patients with IVLBCL (P<0.001). This finding was detected in no patient also among those who received random-skin biopsy on the suspicion of IVLBCL but were found to be negative (P<0.001). Conclusions: Our findings revealed that most patients with IVLBCL presented abnormal findings on pretreatment brain MRI, even if they exhibited no neurological symptoms. In particular, hyperintense lesions in the pons on T2WI were frequently observed in patients with IVLBCL, irrespective of the presence or absence of impaired consciousness, and were highly specific in IVLBCL compared to those in control groups, suggesting that this pattern may be pathognomonic and valuable for the timely diagnosis of IVLBCL. Improvements in all types of abnormal findings on follow-up brain MRI indicated that these findings might reflect structural changes associated with IVLBCL and might be useful for confirmation of the therapeutic effect. Further longitudinal studies are required to validate our findings and determine their clinical implications. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Vol 12 (3) ◽  
pp. 928-934
Author(s):  
Mao Uematsu ◽  
Yusuke Kanemasa ◽  
Shohei Nakamura ◽  
Chikako Funasaka ◽  
Akihiko Kageyama ◽  
...  

Choriocarcinoma is a highly aggressive germ cell tumor and can metastasize to the brain. Although brain metastasis has a poor prognosis, the optimal treatment strategy remains unclear due to its low incidence. A 33-year-old man presenting with multiple lung nodules on chest radiography was referred to our hospital. Computed tomography revealed bilateral lung nodules and a large pelvic mass, and brain magnetic resonance imaging (MRI) demonstrated multiple brain lesions. He developed progressive headache and nausea and underwent two craniotomies because of rapid tumor growth and intratumoral hemorrhage. Metastasis of choriocarcinoma was strongly suspected because of histological findings and detection of urine human chorionic gonadotropin (hCG). He immediately received chemotherapy with bleomycin, etoposide, and cisplatin (BEP). Although the pelvic mass and pulmonary lesions reduced in size and the β-hCG level decreased after one cycle of BEP, brain MRI displayed an increase in the size and number of brain metastases. He underwent whole-brain radiotherapy (WBRT) concurrently with 2 cycles of BEP, leading to successful reduction of brain metastases. After 4 cycles of BEP, the β-hCG level was still higher than the normal range, and the pelvic and pulmonary lesions remained. He continued chemotherapy with paclitaxel, ifosfamide, and cisplatin (TIP) and etoposide, ifosfamide, and cisplatin (VIP). The β-hCG level normalized, and the residual pelvic mass was resected, revealing no viable cancer cells. Multimodal treatment, including two craniotomies and chemotherapy concurrent with WBRT, can achieve good control of lesions of the brain and other sites.


Author(s):  
Alessandro Burlina ◽  
Renzo Manara

Brain magnetic resonance imaging (MRI) is an important tool to investigate inherited metabolic diseases in adulthood. In the present chapter the major neuroradiological findings that brain MRI can provide to adult metabolic clinicians will be presented, classified according to white and gray matter involvement.The role of brain MRI in the diagnostic process and clinical monitoring of specific inherited metabolic affecting the brain will be examined.


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