恶性胶质瘤 - 网络例句 - 英语人，englisher

Glioblastoma only rarely occurs congenitally and has not been fully characterized.

很少有先天性的恶性胶质瘤，它还没有被充分地研究。

Objective: To study the efficacy and security of temozolomide in patients with malignant glioma.

目的：研究替莫唑胺对恶性胶质瘤化疗的有效性和安全性。

Objective To investigate the expression of glial fibrillary acidic protein gene and its significance in the process of glioma cell differentiation induced by nordihydroguaiaretic acid.

目的探讨去甲二氢愈创木酸诱导恶性胶质瘤细胞分化过程中对GFAP基因表达的影响及其意义。

First they pretreated human glioblastoma cells with bone morphogenic protein 4 (BMP4), then injected these treated cells into mouse brains.

首先他们用骨形态发生蛋白4 (BMP4)预处理人恶性胶质瘤细胞，然后把这些处理细胞注射到小鼠脑内。

The U.S. Food and Drug Administration's Oncologic Drugs Advisory Committee voted 10 to 0 that the objective responses seen in the studies were strong enough to serve as a surrogate that was "reasonably likely" to predict clinical benefit as a treatment for patients with previously treated glioblastoma.

食品与药品管理局的肿瘤药物咨询委员会以10：0的投票支持该研究，他们认为该研究有足够的事实依据，证明其可以作为过去曾经接受过治疗的多形性恶性胶质瘤患者的一种&合理的&替代治疗方法，可以预期患者能从该治疗当中获益。

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。

Transient in vitro exposure to BMP4 abolishes the capacity of transplanted GBM cells to establish intracerebral GBMs.

骨形成蛋白4在体外很快就可停止移植的恶性胶质瘤细胞构建瘤体的能力。