Results 121 to 130 of about 11,150 (165)

穿刺置管术中桡动脉痉挛影像特点的超声学研究

Zhongguo shiyan zhenduanxue, 2013
目的探讨穿刺术中桡动脉痉挛（RAS）的影像特点及其影响因素。方法使用高频超声观察局麻和全麻状态下行桡动脉穿刺患者的血管影像特点,并测量穿刺前后桡动脉内径（RAD-1、RAD-2）及狭窄段长度（L-Spasm）。结果 264例患者中发生RAS者131例,发生率为49.6%;其中影像特点RAS可以分为局限痉挛、局部痉挛和弥漫痉挛三种类型。两组患者穿刺前桡动脉内径RAD-1差异无统计学意义（P>0.05）;穿刺术后,全麻组桡动脉内径RAD-2较局麻组明显减小,而L-Spasm较后者明显增大 ...
许勇, 孔令秋, 刘莉, 殷拥军, 康彧, 唐红, 宋海波   +6 more
doaj  

[Research progress in radiomics based on CT and MRI images for prediction of microvascular invasion in hepatocellular carcinoma]. [PDF]

Zhonghua Gan Zang Bing Za Zhi, 2022
Liu YN, Xu YK, Deng SY, Ding HG.
europepmc   +1 more source

不同级别iDose⁴迭代重建技术在冠状动脉CT成像中的应用

Zhongguo shiyan zhenduanxue, 2016
目的评价冠状动脉CT成像（CCTA）中不同级别iDose4迭代重建技术的图像质量、噪声差异,探讨具有最佳图像质量及低噪声的iDose4级别。方法应用Philips,Ingenuity Core 128CT对60例患者行回顾性心电门控CCTA,采集的原始数据分别进行传统滤过反投影法（FBP）和iDose4-1iDose4-7的图像重建。由2名影像诊断学医师采用4分法双盲评价冠状动脉的9个主要分支;记录噪声值、SNR值及CNR值,对数据进行统计学分析,比较8组数据的差异 ...
张青帝, 吴丽卓, 姜晓静, 吴小蕾, 石艳玲, 佟福勋   +5 more
doaj  

[Detection of neurofibroma combining radiomics and ensemble learning]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Liu Y, Wencheng D, Wang Y, Wang Y, Yan Y, Gan K, Pan T.   +6 more
europepmc   +1 more source

[Advances in radiomics for early diagnosis and precision treatment of lung cancer]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Li J, Luo W, Wang Z, Li W.
europepmc   +1 more source

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Cui Y, Feng M, Yao L, Yan J, Li W, Huang Y.   +5 more
europepmc   +1 more source

[Discrimination of macrotrabecular-massive hepatocellular carcinoma based on fusion of multi-phase contrast-enhanced computed tomography radiomics features]. [PDF]

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Zhang Z, Xie J, Zhong W, Liang F, Zhang W, Sun Y, Zhen X, Yang R.   +7 more
europepmc   +1 more source

[Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning]. [PDF]

Zhejiang Da Xue Xue Bao Yi Xue Ban
Feng J, Yang Y, Liu S, Qin A, Ye J, Jiang Y.   +5 more
europepmc   +1 more source

[Tumor microenvironment-specific CT radiomics signature for predicting immunotherapy response in non-small cell lung cancer]. [PDF]

Nan Fang Yi Ke Da Xue Xue Bao
Huang Q, Xie D, Yao L, Li Q, Wu S, Zhou H.   +5 more
europepmc   +1 more source

[Research progress of radiomics in hepatocellular carcinoma]. [PDF]

Zhonghua Gan Zang Bing Za Zhi
Li XM, Liu ZY.
europepmc   +1 more source