神经瘤

Pedicled aponeurosis of occipitofrontalis muscle was transplanted to cover and protect the inserted electrodes and facial nerve in a patient with bilateral cholesteatoma after radical mastoidectomy.

对于双侧胆脂瘤中耳炎乳突根治术后患者，设计采用了带蒂翻转帽状腱膜法保护植入电极和面神经。

To study levels of beta-trace protein in the cerebrospinal fluid with oligodendroglioma patients and in the mediums of incubated rat oligodenderocyte.

蒋雨平 ，蔡振林，任惠民目的：探索神经胶质细胞及人脑胶质瘤细胞是否能分泌β-tp。

Results: The expression of death receptor 5 (DR5) was certificated in U343, DR5 appeared to be located in intracellular perinuclear compartment.

结果：神经胶质瘤细胞株U343表达死亡受体DR5，DR5分布于细胞内细胞核的周围。

Neurothekeoma and plexiform fibrohistiocytic tumor are dermal neoplasms that share many clinical and histologic features and whose histogenesis is equally disputed.

神经鞘黏液瘤和丛状纤维组织细胞性肿瘤好发于皮肤，两者的临床特点和组织学特征有许多相同之处，但两者的组织发生仍具争议。

As one suitable model,Weibull regression model tested by residual analysis was used to identify prognostic factors for postoperative survival and prognose patients' postoperative survival time.

结果 ：Weibull全参数模型显示性别、年龄、癫痫病史、肿瘤类型、肿瘤密度、手术方式、手术次数和术后治疗等 8项因素是影响神经胶质瘤患者术后生存期的危险因素。根据患者预测值大小将患者分为三类，第Ⅰ类患者 1年生存率不足 5 0 %，第Ⅱ类患者 5年生存率接近 5 0 %，第Ⅲ类患者 5年生存率为 80 %左右。

Mutations in LRP5, a coreceptor for Wnt proteins, cause the disease osteoporosis pseudoglioma.

突变LRP5是一个Wnt蛋白信号受体，能导致骨质疏松症假性神经胶质瘤。

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR image s and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has prove d that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual. As a innovative differentiation approach, it requires further studies and researches to determine its applicability in practice, including the increase of training samples, image description standardization, effects to doctoral diagnosis, as well as parameter optimization. With improvements in these elements, the performance of the network will be optimized.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化，为解决二者的鉴别这一复杂问题提供了一个新的方法，但是本研究只是初步的应用探讨，能否在实际中应用，还有待于进一步的研究，如训练样本的增加、图像描述的规范化、对医师诊断影响程度、参数的优化等，网络的性能会不断完善和提高。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。