中国科学院机构知识库网格系统: 检索

Impact of clinical and molecular features on efficacy and outcome of patients with non-small cell lung cancer receiving second-line osimertinib 期刊论文 OAI收割
BMC CANCER, 2022, 卷号: 22
作者: Jin, Ying; Lin, Chen; Shi, Xun; He, Qiong; Yan, Junrong

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收藏 | 浏览/下载：90/0 | 提交时间：2022/12/23

Clinical and molecular features Efficacy and outcome EGFR T790M mutation Non-small-cell lung cancer Osimertinib

Tumor Mutation Burden Correlates With Efficacy of Chemotherapy/Targeted Therapy in Advanced Non-Small Cell Lung Cancer 期刊论文 OAI收割
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10
作者: Lin, Chen; Shi, Xun; Zhao, Jun; He, Qiong; Fan, Yun

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收藏 | 浏览/下载：85/0 | 提交时间：2020/10/26

tumor mutation burden (TMB) clinical benefit epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) chemotherapy non-small cell lung cancer (NSCLC)

EGFR exon 20 insertion mutations in non-small cell lung cancer 期刊论文 OAI收割
TRANSLATIONAL CANCER RESEARCH, 2020, 卷号: 9
作者: Wang, Fenfang; Li, Chenghui; Wu, Qihuan; Lu, Hongyang

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收藏 | 浏览/下载：66/0 | 提交时间：2020/11/26

EGFR exon 20 insertion mutations non-small cell lung cancer (NSCLC) EGFR-TKIs structural features clinical features treatment prognosis

Analysis of lymph node metastasis in 200 patients with non-small cell lung cancer 期刊论文 OAI收割
TRANSLATIONAL CANCER RESEARCH, 2020, 卷号: 9
作者: Luo, Taobo; Chen, Qixun; Zeng, Jian

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收藏 | 浏览/下载：34/0 | 提交时间：2020/11/26

Clinical pathology lymph node metastasis non-small cell lung cancer (NSCLC)

The Efficacy of COGnitive tRaining in patiEnts with Amnestic mild coGnitive impairmENT (COG-REAGENT): Protocol for a Multi-Center Randomized Controlled Trial 期刊论文 OAI收割
JOURNAL OF ALZHEIMERS DISEASE, 2020, 卷号: 75, 期号: 3, 页码: 779-787
作者: Xing, Yi; Zhu, Zude; Du, Yifeng; Zhang, Junjian; Qu, Qiumin

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收藏 | 浏览/下载：68/0 | 提交时间：2020/08/03

Cognitive training mild cognitive impairment non-pharmacological intervention randomized controlled clinical trial

effectsofanal3andmg2containingantacidferroussulfateandcalciumcarbonateontheabsorptionofnemonoxacintg873870inhealthychinesevolunteers 期刊论文 OAI收割
actapharmacologicasinica, 2014, 卷号: 35, 期号: 12, 页码: 1586
作者: Zhang Yifan; Dai Xiaojian; Wang Ting; Chen Xiaoyan; Li Liang

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收藏 | 浏览/下载：20/0 | 提交时间：2020/07/01

NON-FLUORINATED QUINOLONE CIPROFLOXACIN GATIFLOXACIN PHARMACOKINETICS BIOAVAILABILITY ALUMINUM SAFETY SLEEP nemonoxacin nonfluorinated quinolone drug-drug interaction antacid ferrous sulfate calcium carbonate drug absorption clinical pharmacokinetics

Methylenetetrahydrofolate reductase C677T polymorphism predicts response and time to progression to gemcitabine-based chemotherapy for advanced non-small cell lung cancer in a Chinese Han population 期刊论文 OAI收割
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2013, 卷号: 14
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收藏 | 浏览/下载：11/0 | 提交时间：2020/10/26

COLORECTAL-CANCER GENE POLYMORPHISMS CLINICAL-RESPONSE PLUS CARBOPLATIN REPAIR GENES SURVIVAL ERCC1 ASSOCIATION PLATINUM FOLATE Non-small cell lung cancer Single nucleotide polymorphism Methylenetetrahydrofolate reductase Gemcitabine Excision repair cross-complementation group 1

Exploratory study on the base-rate of paranoid ideation in a non-clinical Chinese sample 期刊论文 OAI收割
PSYCHIATRY RESEARCH, 2011, 卷号: 185, 期号: 1-2, 页码: 254-260
作者: Chan, Raymond C. K.; Li, Xiaoyan; Lai, Man-kin; Li, Huanhuan; Wang, Ya

收藏 | 浏览/下载：47/0 | 提交时间：2015/06/26

Delusions Paranoid Prevalence Non-clinical Chinese

Recursive Partitioning Analysis Classification and Graded Prognostic Assessment for Non-Small Cell Lung Cancer Patients with Brain Metastasis: A Retrospective Cohort Study 期刊论文 OAI收割
CHINESE JOURNAL OF CANCER RESEARCH, 2011, 卷号: 23
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收藏 | 浏览/下载：14/0 | 提交时间：2020/10/26

CLINICAL-PRACTICE GUIDELINE SURGICAL-TREATMENT RADIATION-THERAPY ANALYSIS RPA STEREOTACTIC RADIOSURGERY MANAGEMENT CHEMOTHERAPY RADIOTHERAPY ERLOTINIB SURVIVAL Non-small cell lung cancer (NSCLC) Brain metastasis Prognosis Recursive partitioning analysis Graded prognostic assessment

Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割
4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China
作者: Liu H.; Liu H.; Liu H.

收藏 | 浏览/下载：54/0 | 提交时间：2013/03/25

An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.