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期刊论文 5

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人工智能 1

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Reevaluation of the effect of Dianxianning on seizure rate of refractory epilepsy as additive treatment

Liyun He, Tiancai Wen, Shiyan Yan, Runjin Li, Zufa Liu, Hui Ren, Jinmin Liu, Fengshan Zhang, Jianzhong Wu, Jian Liu

《医学前沿（英文）》 2011年 第5卷 第2期   页码 229-234 doi: 10.1007/s11684-011-0139-5

摘要： We observed the effect of Dianxianning, which was used as additive treatment to treat 206 epilepsy patients, on the epilepsy seizure rate. Based on a multicenter, prospective, randomized, and controlled clinical trial design, we used the seizure rate of epilepsy as the main index. For the treatment group comprising 137 patients, we combined Dianxianning with chemical medicine, which is the basic treatment. For the control group with 69 patients, we added placebo. The results showed that 1) Effect on seizure rate: After a three-month treatment, the seizure rate of the treatment group decreased by 37.84% on average, whereas that of the control group decreased by 13.18% on average. Statistically comparing the two groups, there was a significant difference between these groups ( <0.05). 2) Effect on seizure frequency: As time passed, the frequency in each group gradually decreased. After a three-month treatment, there was a significant difference between the two groups ( <0.05). 3) Comparison between the before and after treatment of each group: There was a very significant difference between the two groups ( <0.0001). The results indicated that, as an additive treatment, Dianxianning has a good effect on controlling the epilepsy seizure rate and frequency management. It is more effective than using chemical medicine alone.

关键词： Dianxianning     epilepsy seizure     evaluation    

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Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

《医学前沿（英文）》 2020年 第14卷 第5期   页码 630-641 doi: 10.1007/s11684-019-0718-4

摘要： Mesial temporal lobe epilepsy (mTLE), the most common type of focal epilepsy, is associated with functional and structural brain alterations. Machine learning (ML) techniques have been successfully used in discriminating mTLE from healthy controls. However, either functional or structural neuroimaging data are mostly used separately as input, and the opportunity to combine both has not been exploited yet. We conducted a multimodal ML study based on functional and structural neuroimaging measures. We enrolled 37 patients with left mTLE, 37 patients with right mTLE, and 74 healthy controls and trained a support vector ML model to distinguish them by using each measure and the combinations of the measures. For each single measure, we obtained a mean accuracy of 74% and 69% for discriminating left mTLE and right mTLE from controls, respectively, and 64% when all patients were combined. We achieved an accuracy of 78% by integrating functional data and 79% by integrating structural data for left mTLE, and the highest accuracy of 84% was obtained when all functional and structural measures were combined. These findings suggest that combining multimodal measures within a single model is a promising direction for improving the classification of individual patients with mTLE.

关键词： mesial temporal lobe epilepsy     functional magnetic resonance imaging     structural magnetic resonance imaging     machine learning     support vector machine    

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F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

《医学前沿（英文）》 2021年 第15卷 第6期   页码 913-921 doi: 10.1007/s11684-021-0874-1

摘要： Epileptogenic hypothalamic hamartoma is characterized by intractable gelastic seizures. A systematic analysis of the overall brain metabolic pattern in patients with hypothalamic hamartoma (HH) could facilitate the understanding of the epileptic brain network and the associated brain damage effects of HH. In this study, we retrospectively evaluated 27 patients with epileptogenic HH (8 female patients; age, 2–33 years) by using 18F-fluorodeoxyglucose-positron emission tomography. The correlations among tomography result, seizure type, sex, and structural magnetic resonance imaging were assessed. Whole metabolic patterns and voxel-based morphometry findings were assessed by group analysis with healthy controls. Assessment of the whole metabolic pattern in patients with HH revealed several regional metabolic reductions in the cerebrum and an overall metabolic reduction in the cerebellum. In addition, areas showing hypometabolism in the neocortex were more widely distributed ipsilaterally than contralaterally to the HH. Reductions in glucose metabolism and gray matter volume in the neocortex were predominant ipsilateral to the HH. In conclusion, the glucose hypometabolism pattern in patients with epileptogenic HH involved the neocortex, subcortical regions, and cerebellum. The characteristics of glucose hypometabolism differed across seizure type and sex. Reductions in glucose metabolism and structural changes may be based on different mechanisms, but both are likely to occur ipsilateral to the HH in the neocortex. We hypothesized that the dentato-rubro-thalamic tract and cerebro-ponto-cerebellar tract, which are responsible for intercommunication between the cerebral cortex, subcortical regions, and cerebellar regions, may be involved in a pathway related to seizure propagation, particularly gelastic seizures, in patients with HH.

关键词： hypothalamic hamartoma     gelastic seizure     fluorodeoxyglucose-positron emission tomography     voxel-based morphometry    

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research on the efficacy and safety of oxcarbazepine as monotherapy and add-on therapy for partial epilepsy

Huicong KANG, Xiaoyan LIU, Hu QI, Feng XU, Xiang LI, Yuan WANG, Zhiguang LIU, Suiqiang ZHU

《医学前沿（英文）》 2009年 第3卷 第2期   页码 181-186 doi: 10.1007/s11684-009-0025-6

摘要： The purpose of our research was to evaluate the efficacy, tolerance, and safety of oxcarbazepine (OXC) as monotherapy and add-on therapy for partial epilepsy. We carried out a prospective clinical follow-up trial at the Epilepsy Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. Sixty-seven patients with partial epilepsy received OXC therapy. The patients were randomly divided into a monotherapy group and an add-on therapy group. We observed the efficacy and safety in the first three months and the following three months respectively, and compared them with each other. There was a significant difference in the decrease of seizure frequency between the two groups ( = 0.002). There was a significant difference in the percentage of seizure-free between the monotherapy and the add-on therapy groups in the first three months ( = 0.02), and there were also statistical differences in the 50% response rate ( = 0.017) and the percentage of seizure-free in the following three months ( = 0.019). No difference was found in the 50% response rate, the 75% response rate, and the percentage of seizure-free between the first three months and the following three months in the whole group and the two subgroups ( > 0.05). The incidence rate of side effects due to the therapy was 19.40% (13 of 67). The side effects were mainly found in the first three months. It is concluded that OXC is the first-line anti-epileptic drug (AED) for partial seizures, and could be used as the monotherapy and add-on therapy for newly diagnosed patients and patients that failed to tolerate or benefit from other AEDs.

关键词： oxcarbazepine     partial epilepsy    

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医疗保健中的人工智能——综述与预测性案例研究 Review

荣国光, Arnaldo Mendez, Elie Bou Assi, 赵博, Mohamad Sawan

《工程（英文）》 2020年 第6卷 第3期   页码 291-301 doi: 10.1016/j.eng.2019.08.015

摘要：

近年来，人工智能在软件算法、硬件实现和应用等领域得到了迅速发展。本文综述了人工智能在生物医学中应用的最新进展，包括疾病诊断、生活辅助、生物医学信息处理和生物医学研究。综述的目的是跟踪新的科学成就，了解人工智能在生物医学中的巨大潜力和相关技术的适用性，并为相关领域的研究人员提供启示。可以断言，正如人工智能本身一样，人工智能在生物医学中的应用尚处于早期阶段。新的进展和突破将继续推进，不断深入并扩大广度，并在不久的将来迅速发展。本文以人工智能在癫痫发作和膀胱功能失调预测方面的应用的两个案例来说明其在生物医疗等方面的应用。

关键词： 人工智能     机器学习     深度学习     神经网络     生物医学研究     医疗保健应用     癫痫发作     膀胱充盈    

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标题 作者 时间 类型 操作

Reevaluation of the effect of Dianxianning on seizure rate of refractory epilepsy as additive treatment

Liyun He, Tiancai Wen, Shiyan Yan, Runjin Li, Zufa Liu, Hui Ren, Jinmin Liu, Fengshan Zhang, Jianzhong Wu, Jian Liu

期刊论文

Machine learning for detecting mesial temporal lobe epilepsy by structural and functional neuroimaging

Baiwan Zhou, Dongmei An, Fenglai Xiao, Running Niu, Wenbin Li, Wei Li, Xin Tong, Graham J Kemp, Dong Zhou, Qiyong Gong, Du Lei

期刊论文

F-FDG-PET glucose hypometabolism pattern in patients with epileptogenic hypothalamic hamartoma

期刊论文

research on the efficacy and safety of oxcarbazepine as monotherapy and add-on therapy for partial epilepsy

Huicong KANG, Xiaoyan LIU, Hu QI, Feng XU, Xiang LI, Yuan WANG, Zhiguang LIU, Suiqiang ZHU

期刊论文

医疗保健中的人工智能——综述与预测性案例研究

荣国光, Arnaldo Mendez, Elie Bou Assi, 赵博, Mohamad Sawan

期刊论文