ObjectiveAicardi and Goutières syndrome was first reported as a rare hereditary encephalopathy with white matter involvement in 1984. Typical clinical manifestations include severe mental motor development retardation or regression, pyramidal and extrapyramidal symptoms and signs, epilepsy, microcephaly and frostbite.MethodsTo collect a case of patient who presented with convulsions 14 days after birth without obvious inducement. The child was diagnosed as epilepsy in the local hospital and the symptoms improved after treatment with antiepileptic drugs. At 4 months, the child presented nods and clenched fists, and was diagnosed as infantile spasm. After Adrenocorticotrophic hormone and drug treatment, the symptoms gradually improved. Due to upper respiratory track infection, the child was aggravated at the age of 1 year and 2 months, and then diagnosed as Aicardi-Goutières syndrome by video EEG, skull MRI, fundus and gene screening.ResultsSurgery and treatment with antiepileptic drugs significantly improved the symptoms of the child, and the pathological biopsy of the brain tissue supported the previous diagnosis.ConclusionsThe report of this case will help to improve the clinician's diagnosis and treatment of Aicardi-Goutières syndrome.
摘要:目的: 分析肝脏局灶性结节增生(FNH)的MRI表现和病理特点,探讨两者的相关性,提高FNH诊断的准确率。 方法 :回顾性分析23例(共28个病灶)经手术切除病理证实为FNH的MRI平扫及增强表现,与其病理特点进行对照。 结果 :25个病灶在平扫T1WI上呈等或稍低信号,T2WI上呈等或稍高信号,3个病灶在平扫T1WI及T2WI上均呈稍高信号,增强后所有28病灶动脉期可见明显强化,门脉期及延迟期呈稍高、等或稍低信号,其中12个病灶可见中心纤维瘢痕延迟强化。FNH组织病理上表现为富血供的实质性肿块,肿物内部组织较均匀,没有异型细胞,中心可见纤维瘢痕。 结论 :肝脏MRI平扫及增强检查能很好的反映FNH的组织病理及血供特点,能为FNH的诊断及鉴别诊断提供可靠证据。Abstract: Objective: To analyze the MRI manifestations and pathology characteristic of hepatic focal nodular hyperplasia(FNH),and to investigate their correlation. Methods : A retrospective analysis was made on the unenhanced and dynamic enhanced MR images of 23 patients (totally 28 lesions) with surgical and pathological proved FNH. Results :25 FNH lesions demonstrated isointensity or slightly hypointense on unenhanced T1WI,and isointensity or slightly hyperintense on unenhanced T2WI,3 FNH demonstrated hyperintense on both unenhanced T1WI and T2WI. 28 FNHs were markediyhyperintense in the arterial phase of dynamic contrast enhanced MRI, and isointense or slightly hyperintense in the portal and delayed phase．The seals were shown in 12 lesions, and enhanced in delayed phase．FNH is solid mass with vast blood supply,its inside structure is homogemeous. Typical seal can be found by microscopic examination．〖WTHZ〗Conclusion : MRI could disclose the pathologic features of FNH and its blood supply and improve the accuracy 0f its diagnosis．
The effect of deep brain stimulation (DBS) surgery treatment for Parkinson's disease is determined by the accuracy of the electrodes placement and localization. The subthalamic nuclei (STN) as the implant target is small and has no clear boundary on the images. In addition, the intra-operative magnetic resonance images (MRI) have such a low resolution that the artifacts of the electrodes impact the observation. The three-dimensional (3D) visualization of STN and other nuclei nearby is able to provide the surgeons with direct and accurate localizing information. In this study, pre- and intra-operative MRIs of the Parkinson's disease patients were used to realize the 3D visualization. After making a co-registration between the high-resolution pre-operative MRIs and the low-resolution intra-operative MRIs, we normalized the MRIs into a standard atlas space. We used a special threshold mask to search the lead trajectories in each axial slice. After checking the location of the electrode contacts with the coronal MRIs of the patients, we reconstructed the whole lead trajectories. Then the STN and other nuclei nearby in the standard atlas space were visualized with the grey images of the standard atlas, accomplishing the lead reconstruction and nerve nuclei visualization near STN of all patients. This study provides intuitive and quantitative information to identify the accuracy of the DBS electrode implantation, which could help decide the post-operative programming setting.
ObjectiveTo detect the metabolites of the serum and joint fluid from rabbits’ osteoarthritis model with 1H nuclear magnetic resonance spectroscopy (NMR) technique, study the metabolic differences and connections of serum, synovial and cartilage of rabbits after the articular cavity injection of sodium hyaluronate, and explore osteoarthritis and metabolic mechanism in the process of treating sodium hyaluronate using sodium hyaluronate, thus provide new ideas and basis of the specific mechanisms in the treatment of osteoarthritis via sodium hyaluronate.MethodsWe selected 30 healthy New Zealand white rabbits, 6 months old, and randomly divided them into three groups as follows: blank control group, model phosphate buffer saline (PBS) liquid injection group and model injection of sodium hyaluronate group, with 10 rabbits in each group. Ten weeks after surgery, all experimental animals were put to death and observed in correlation studies regarding general condition, imaging examination, and histological examination. Metabolites 1H NMR detection and data preprocessing were performed in the serum and joint fluid samples.ResultsThe results considering general condition, general sample observation, imaging examination and histology indicated advantages in sodium hyaluronate group over PBS group. Metabolomics analysis showed statistically significant changes of metabolites in the serum and joint fluid compared with the PBS group and the blank control group (P<0.05). According to the relevant ways of differences metabolites retrieval, analysis found that the effect of sodium hyaluronate on osteoarthritis might be related to protein biosynthesis, amino acid circulation, the metabolic process of pyruvic acid, gluconeogenesis and other metabolic pathways.ConclusionsBased on the research of 1H-NMR metabolomics, the results suggest that the effect of sodium hyaluronate on osteoarthritis is mainly related with the activation of protein metabolism, abnormal lipid and energy metabolic pathways. This study provides new ideas and basis on the concrete mechanism in the treatment of knee osteoarthritis using sodium hyaluronate.
It is difficult to reflect the properties of samples from the signal directly collected by the low field nuclear magnetic resonance (NMR) analyzer. People must obtain the relationship between the relaxation time and the original signal amplitude of every relaxation component by inversion algorithm. Consequently, the technology of T2 spectrum inversion is crucial to the application of NMR data. This study optimized the regularization factor selection method and presented the regularization algorithm for inversion of low field NMR relaxation distribution, which is based on the regularization theory of ill-posed inverse problem. The results of numerical simulation experiments by Matlab7.0 showed that this method could effectively analyze and process the NMR relaxation data.
ObjectiveTo make the model of Wistar suckling rats Focal cortical dysplasia (FCD) by liquid nitrogen freezing brain cortex and verify it. Analysed the electroencephalogram (EEG) and magnetic resonance imaging (MRI) features of the FCD model, in order to provide theoretical and experimental basis for human FCD diagnosis and treatment. MethodsTake the first day of Wistar suckling rats as experimental object, liquid nitrogen freezing Wistar suckling rats brain cortex.Make examination of EEG and MRI for Wistar suckling rats. The Brain tissue slice of Wistar suckling rats model dyed by HE and check with light microscope examination. ResultsIn experiment group, the sample epileptic discharge rate of EEG was about 41.6% on average, and showed visible spike wave, spine slow wave frequency distribution. Experimental Wistar suckling rats MRI showed positive performance for long T1 and long T2 signal, brain tissue slices HE staining showed brain cortex layer structure and columnar structure disorder, exist abnormal neurons and the balloon sample cells. ConclusionThe method of liquid nitrogen freezing Wistar suckling rats cortex can established FCDⅢd animal models successfully, and showed specific EEG and MRI, which has important value for diagnosis and treatment of human FCD.
This paper performs a comprehensive study on the computer-aided detection for the medical diagnosis with deep learning. Based on the region convolution neural network and the prior knowledge of target, this algorithm uses the region proposal network, the region of interest pooling strategy, introduces the multi-task loss function: classification loss, bounding box localization loss and object rotation loss, and optimizes it by end-to-end. For medical image it locates the target automatically, and provides the localization result for the next stage task of segmentation. For the detection of left ventricular in echocardiography, proposed additional landmarks such as mitral annulus, endocardial pad and apical position, were used to estimate the left ventricular posture effectively. In order to verify the robustness and effectiveness of the algorithm, the experimental data of ultrasonic and nuclear magnetic resonance images are selected. Experimental results show that the algorithm is fast, accurate and effective.
Objective To evaluate the clinical value of cardiac MRI for the diagnosis of viral myocarditis (VMC). Methods Such databases as PubMed (1950 to 2009), EMbase (1974 to 2009), and The Cochrane Library (December 2009) were searched to include clinical research reports of diagnosing viral myocarditis with MRI. QUADAS items were used to evaluate the quality of the included studies. The Meta-disc software was used to conduct merger analyses on sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio. The Heterogeneity test was performed and summary receiver operating characteristic curve (SROC) was completed. Results Five trials were included. The value of merger sensitivity, specificity, and diagnostic odds ratio (DOR) were 0.94, 0.69, 2.76, and 28.11, respectively. The area under of SROC curve (AUC) was 0.871 9. Conclusion The current evidence shows that cardiac MRI has high sensitivity (94%) and moderate specificity (69%) in the diagnosis of viral myocarditis. The positive rate in the viral myocarditis group is 28.11 times as high as that in the non-viral myocarditis group, so Cardiac MRI has good diagnostic values for viral myocarditis.
ObjectiveThe purpose of this study was to better delineate the clinical spectrum of periventricular nodular heterotopia (PNH) in a large patient population to better understand social support in people with PNH and epilepsy in west China. Specifically, this study aimed to relate PNH subtypes to clinical or epileptic outcomes and epileptic discharges by analyzing anatomical features. MethodsThe study included 70 patients with radiologically confirmed nodular heterotopias and epilepsy. We also recruited healthy controls from nearby urban and rural areas. People with PNH and epilepsy and healthy controls were gender-and age-matched. Two-sided Chi-square test and Fisher's exact t-test were used to assess associations between the distribution of PNHs and specific clinical features. ResultsBased on imaging data, patients were subdivided into three groups: (a) classical (bilateral frontal and body, n=25), (b) bilateral asymmetrical or posterior (n=9) and (c) unilateral heterotopia (n=36). Most patients with classical heterotopia were females, but were mostly seizure-free. Patients with unilateral heterotopia were prone to develop refractory epilepsy. ConclusionsEach group's distinctive genetic mutations, epileptic discharge patterns and overall clinical outcomes confirm that the proposed classification system is reliable. These findings could not only be an indicator of a more severe morphological and clinical phenotype, but could also have clinical implications with respect to the epilepsy management and optimization of therapeutic options.