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Background: Posterior fossa craniotomy is commonly performed for various pathologies. However, intra-cranial infection following craniotomy causes morbidity. Pseudomeningocele is one of the main complications following posterior fossa operation. This study aimed to test the hypothesis that the risk of intra-cranial infection is increased in patients who undergo posterior fossa craniotomy with pseudomeningocele compared with those without pseudomeningocele. Methods: We retrospectively analyzed the data of patients undergoing posterior fossa craniotomy for the management of neurological pathologies at our institute from 2011 to 2020. A total of 308 craniotomies were included, and the primary outcome of interest was the occurrence of intra-cranial infection. Standard statistical methods were used to explore associations between several parameters, including pseudomeningocele, intra-cranial infection, and wound leak. Results: Of the 308 craniotomies, 41 (13.3%) developed intra-cranial infection and 59 (19.2%) involved pseudomeningocele. Of cases involving pseudomeningocele, 27 (45.8%) developed an intra-cranial infection compared with only 14 of 249 without pseudomeningocele (5.6%; p < 0.001). In the multi-variable analysis, pseudomeningocele was associated with intra-cranial infection (odds ratio [OR] 8.56; 95% confidence interval [CI] 3.145-23.299; p < 0.001) and wound leak (OR 91.339; 95% CI 10.437-799.364; p < 0.001). Conclusion: The findings indicate that patients undergoing posterior fossa craniotomy are at a greater risk of intra-cranial infection if there is pseudomeningocele after the operation.
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Previously, convolutional neural networks mostly used deep semantic feature information obtained from several convolutions for image classification. Such deep semantic features have a larger receptive field, and the features extracted are more effective as the number of convolutions increases, which helps in the classification of targets. However, this method tends to lose the shallow local features, such as the spatial connectivity and correlation of tumor region texture and edge contours in breast histopathology images, which leads to its recognition accuracy not being high enough. To address this problem, we propose a multi-level feature fusion method for breast histopathology image classification. First, we fuse shallow features and deep semantic features by attention mechanism and convolutions. Then, a new weighted cross entropy loss function is used to deal with the misjudgment of false negative and false positive. And finally, the correlation of spatial information is used to correct the misjudgment of some patches. We have conducted experiments on our own datasets and compared with the base network Inception-ResNet-v2, which has a high accuracy. The proposed method achieves an accuracy of 99.0% and an AUC of 99.9%.
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Processamento de Imagem Assistida por Computador , Redes Neurais de Computação , Mama/diagnóstico por imagem , Processamento de Imagem Assistida por Computador/métodosRESUMO
BACKGROUND: We conducted this study to assess the value of clinically relevant data for predicting the failure of removing urinary catheters among patients with intracerebral hemorrhage postoperatively. MATERIALS AND METHODS: We retrospectively analyzed the medical records of all patients with intracerebral hemorrhage who underwent surgery for removal of intracerebral hematoma between January 2014 and December 2019, all of whom retained their urinary catheter. The patients were classified into 2 groups. Group A included patients who underwent successful removal of the catheter while group B included patients who underwent a failed removal. Univariate analysis was performed to determine the relationship between the failure of catheter removal and the patients' preoperative clinical characteristics. Independent prognostic predictors were identified using multivariate analyses. RESULTS: The site of intracerebral hematoma ( P =0.004), volume of hematoma ( P <0.001), intraventricular hemorrhage ( P <0.001), admitted Glasgow Coma Scale (GCS) ( P <0.001), GCS before urinary catheter removal ( P <0.001), smoking ( P =0.011), herniation ( P <0.001), urine protein ( P =0.013), creatinine ( P =0.037), and timing of urinary catheter removal ( P <0.001) were significantly different among the 2 groups. Multiple logistical regression analysis indicated that GCS before urinary catheter removal (odds ratio=1.171; 95% confidence interval=1.050-1.306; P =0.005) and timing for urinary catheter removal (odds ratio=0.962; 95% confidence interval=0.944-0.981; P <0.001) were associated with failure of urinary catheter removal. CONCLUSIONS: This study demonstrated that GCS before urinary catheter removal and the timing of urinary catheter removal are independent factors associated with failure of urinary catheter removal among patients with intracerebral hemorrhage.
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Hemorragia Cerebral , Cateteres Urinários , Humanos , Estudos Retrospectivos , Hemorragia Cerebral/complicações , Hemorragia Cerebral/cirurgia , Hematoma/cirurgia , Hematoma/complicações , Escala de Coma de GlasgowRESUMO
The conventional treatment for the resection of cervical spinal tumors comprises anterior, posterior, and combined surgical approaches. However, these approaches have certain limitations when tumors invade the vertebrae, vertebral artery, or spinal nerves. Herein, we report an interesting case where a 45-year-old patient was admitted for neck pain. An invasive cervical spinal tumor was discovered and approached in two stages: stage 1 was open biopsy with posterior instrumentation, which was followed by stage 2 with an anterolateral approach for definitive surgical resection. A series of preoperative tests including angiography as well as a balloon occlusion test of the vertebral artery facilitated stage 2 surgical planning for gross total resection of the tumor while minimizing surgical complications.
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A phytochemical investigation on the alkaloids from water-soluble part of Sophora alopecuroides led to obtain forty matrine-type alkaloids (1-40) including eighteen new ones (1-18), which covers almost all positions of the oxygen substitution in matrine-type structure. Notably, eight compounds (1-8) belong to rare bis-amide matrine-type alkaloid. The new structures were determined based on extensive spectroscopic data, electronic circular dichroism (ECD) calculations, and six instances, verified by X-ray crystallography. Most of isolates showed anti-neuroinflammatory activities based on the expression of tumor necrosis factor (TNF)-α and interleukin (IL)-6 in BV2 microglia cells. Especially, compound 39 can suppress those two mediator secretions in a dose-dependent manner with IC50 values of 21.6 ± 0.5 and 16.7 ± 0.8 µM, respectively. Further mechanistic study revealed that 39 suppressed the phosphorylation of IκBα and p65 subunit to regulate the NF-κB signaling pathway.
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Alcaloides/farmacologia , Anti-Inflamatórios/farmacologia , Quinolizinas/farmacologia , Sophora/química , Alcaloides/química , Alcaloides/isolamento & purificação , Animais , Anti-Inflamatórios/química , Anti-Inflamatórios/isolamento & purificação , Linhagem Celular , Cristalografia por Raios X , Relação Dose-Resposta a Droga , Interleucina-6/antagonistas & inibidores , Interleucina-6/metabolismo , Camundongos , Modelos Moleculares , Estrutura Molecular , NF-kappa B/antagonistas & inibidores , NF-kappa B/metabolismo , Quinolizinas/química , Quinolizinas/isolamento & purificação , Sementes/química , Transdução de Sinais/efeitos dos fármacos , Solubilidade , Relação Estrutura-Atividade , Fator de Necrose Tumoral alfa/antagonistas & inibidores , Fator de Necrose Tumoral alfa/metabolismo , Água/química , MatrinasRESUMO
Brainstem hemorrhage is presumed to be invariably associated with a poor prognosis in people with spontaneous hypertensive cerebral hemorrhage. The optimal timing of tracheostomy placement in brainstem hemorrhage patients, who generally require endotracheal intubation for airway protection, remains uncertain. Our research aim was to analyze the impact of early tracheostomy versus late tracheostomy on brainstem hemorrhage patients related outcomes and prognostic factors at 30 days. We identified early tracheostomy and how it could benefit the patients with brainstem hemorrhage and ameliorate the predictors of functional recovery at 30 days. Data on 136 patients with brainstem hemorrhage and Glasgow Coma Scale score ≤ 8, were retrospectively collected from 2012 to 2019. Patients were divided into the early tracheostomy group and the late tracheostomy group. Patients in the early tracheostomy group had a significantly lower neurosurgical intensive care unit stay (both overall and survival) compared with the late tracheostomy group (15.6 days vs. 19.0 days, P = 0.041, overall and 14.5 vs. 19.5 days, P = 0.023, survival). Also, the good outcomes (modified Rankin Score ≤ 3) were higher in the early tracheostomy group (P = 0.036). Multivariate analysis demonstrated that less hemorrhagic volume, high Glasgow Coma Scale score on admission, young age, and early tracheostomy were significantly associated with a better 30-day functional outcome. In conclusion, an early tracheostomy in patients with brainstem hemorrhage can reduce neurosurgical intensive care unit stay, and in addition to improvements in prognosis at 30 days.
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Tronco Encefálico/irrigação sanguínea , Tronco Encefálico/patologia , Hemorragias Intracranianas/diagnóstico , Hemorragias Intracranianas/cirurgia , Traqueostomia , Feminino , Humanos , Glicoproteínas de Membrana , Pessoa de Meia-Idade , Análise Multivariada , Prognóstico , Receptores de Interleucina-1 , Estudos Retrospectivos , Fatores de Tempo , Resultado do TratamentoRESUMO
A method to compute the similarity between different plants is proposed, using features of a plant׳s topological structure and peripheral contour, as well as its geometry. The topological structures are described using tree graphs, and their similarity can be calculated based on the edit distance of these graphs. The peripheral contour of a plant is abstracted by its three-dimensional convex hull, which is projected in several directions. The similarity of the different projections is calculated by an algorithm to compute the similarity of two-dimensional shapes. The similarity of the geometrical detail is computed by considering the geometrical properties of different level branches. Finally the overall similarity between different plants is calculated by combining these different similarity measures. The validity of proposed method is evaluated by detailed experiments.