复杂网络整合分析方法在乳腺癌疾病机理研究中的应用

将乳腺癌相关基因抽象为节点,利用基因表达谱分别构建正常组织样本(C组)与乳腺癌样本(E组)的pearson、spearman、kendall、mutual information和mic等5种相关性网络,进而分析网络节点度在C组和E组中的差异性,筛选出17个结构性关键基因,其中12个基因已有文献证实与乳腺癌显著相关.它...     

1.5T磁共振动态增强图像特征及参数在诊断乳腺癌中的应用

本文探讨1.5T磁共振动态增强图像特征及参数在诊断乳腺癌中的应用价值。选取100例乳腺癌患者作为观察组,另选取同期收治的60例乳腺良性肿瘤患者作为对照组,患者均行磁共振动态增强检查。结果显示,观察组病灶形态、边缘、内部强化情况及环形强化与对照组比较,差异有统计学意义(P<0.05);观察组Kep、Ktrans均高于对照组(P<0.05);Kep、Ktrans联合诊断的AUC为0.861,较各指标单一诊断价值更高;预后不良患者病灶形态、边缘、内部强化情况及环形强化与预后良好患者比较,差异有统计学意义(P<0.05);预后不良患者Kep、Ktrans均高于预后良好患者(P<0.05);病灶形态、边缘、内部强化、环形强化及Kep、Ktrans均与乳腺癌患者预后独立相关(P<0.05)。乳腺癌患者1.5T磁共振动态增强图像特征以形态不规则、边缘毛刺、内部不均匀强化及环形强化为主,且定量参数Kep、Ktrans处于较高水平,临床可通过磁共振动态增强成像特征及参数诊断乳腺癌,预测预后。     

交叉羰基还原偶联法合成二茂铁基二芳基乙烯衍生物

通过低价钛引起的交叉羰基的偶联合成了二茂铁基二芳基乙烯衍生物,原料廉价易得,合成步骤简便,产率达７４％。     

气相色谱-质谱法分析乳腺癌大鼠尿液中的代谢物

基于气相色谱-质谱法,建立了乳腺癌大鼠尿液中代谢物的分析方法。构建了乳腺癌大鼠模型。分别收集乳腺癌组、未成瘤组和健康对照组大鼠尿液样本,经脲酶处理后,用甲醇∶乙腈=2∶1(V/V)进行提取,硅烷化试剂N,O-双甲氧基三氟乙酰胺+1%三甲基氯硅烷(BSTFA+1%TMCS)衍生,然后采用气相色谱-质谱法分析尿液样本的代谢谱,并用随机森林(RF)算法对实验结果进行分析。结果表明,三组实验数据被成功分类,并发现甲基丙二酸、3-羟基丁酸、苏糖酸、对羟基苯乙酸、D-麦芽糖等组分在乳腺癌组和健康对照组中具有显著差异。     

Gold-catalyzed oxazoles synthesis and their relevant antiproliferative activities

Nine 5-aryl-2-methyloxazole derivatives were synthesized via gold-catalyzed alkyne oxidation. All of the compounds have been screened for their antiproliferative activities against MCF-7 cell （human breast carcinoma）, A549 cell （human lung carcinoma） and Hela cell （human cervical carcinoma） lines in vitro. The results revealed that compounds 1b, 1c and 1d exhibited strong inhibitory activities against the MCF-7 cell lines （with ICso values of 4.6, 9.7 and 2.2 μmol/L, respectively）.     

乳腺癌术前灰阶超声与彩色多普勒超声联合应用对预后的预测价值

目的探究乳腺癌术前灰阶超声与彩色多普勒超声联合应用对预后的预测价值。方法选取温州医科大学附属第一医院2013年5月—2015年5月期间收治的乳腺癌患者83例,治疗前均行灰阶超声与彩色多普勒超声检查,分析患者超声检查结果、临床征象与术后随访2年期间患者预后的关系,从而分析术前灰阶超声与彩色多普勒超声联合应用对乳腺癌患者预后的预测价值。结果乳腺癌肿块边界清晰、边界不清晰、边界恶性晕的患者2年无瘤生存率依次降低,边界恶性晕与边界不清晰患者死亡率均显著高于边界清晰患者(P0.05);肿瘤≥2 cm患者2年无瘤生存率显著低于2 cm患者;淋巴结转移患者2年无瘤生存率显著低于无转移患者(P0.05);血流分级Ⅱ级患者2年无瘤生存率明显低于0级(P0.05),Ⅲ级患者2年无瘤生存率显著低于0级和Ⅰ级(P0.05)。结论乳腺癌患者术前联合应用灰阶超声与彩色多普勒超声检查可确定肿瘤边界、大小及淋巴转移等征象,其与患者无瘤生存率、死亡率等预后指标密切相关,可作为预测乳腺癌患者预后的重要方法。     

A progressive processing method for breast cancer detection via UWB based on an MRI-derived model

Ultra-wideband （UWB） microwave imaging is a promising method for breast cancer detection based on the large contrast of electric parameters between the malignant tumor and its surrounded normal breast organisms. In the case of multiple tumors being present, the conventional imaging approaches may be ineffective to detect all the tumors clearly. In this paper, a progressive processing method is proposed for detecting more than one tumor. The method is divided into three stages： primary detection, refocusing and image optimization. To test the feasibility of the approach, a numerical breast model is developed based on the realistic magnetic resonance image （MRI）. Two tumors are assumed embedded in different positions. Successful detection of a 3.6 mm-diameter tumor at a depth of 42 mm is achieved. The correct information of both tumors is shown in the reconstructed image, suggesting that the progressive processing method is promising for multi-tumor detection.     

基于小波变换和图论方法识别乳腺微钙化点簇

成簇的微钙化点是早期乳腺癌的一个重要表征,用计算机辅助诊断时需要在乳腺片图像中判断有无钙化点簇。提出了一种利用Daubechies小波对乳腺图像进行增强,用二维熵阈值分割法对增强后的图像进行阈值分割,然后采用图论方法提取出成簇钙化点的方法。从而实现了计算机辅助诊断系统辅助医师判断恶性钙化。     

A double constrained robust capon beamforming based imaging method for early breast cancer detection

Ultra-wideband （UWB） microwave images are proposed for detecting small malignant breast tumors based on the large contrast of electric parameters between a malignant tumor and normal breast tissue. In this study, an antenna array composed of 9 antennas is applied to the detection. The double constrained robust capon beamforming （DCRCB） algorithm is used for reconstructing the breast image due to its better stability and high signal-to-interference-plus-noise ratio （SINR）. The successful detection of a tumor of 2 mm in diameter shown in the reconstruction demonstrates the robustness of the DCRCB beamforming algorithm. This study verifies the feasibility of detecting small breast tumors by using the DCRCB imaging algorithm.     

德拜色散媒质的三维时域电磁逆散射技术

生物组织、土壤、水等媒质的电特性是频率相关的(称为色散媒质),常利用单极德拜(Debye)模型描述.为重建这一类媒质的色散特性,基于泛函分析和变分法,提出一种三维(3-D)时域电磁(EM)逆散射技术,主要流程为:①根据最小二乘准则,转化逆散射问题为约束最小化问题;②应用罚函数法,转化约束最小化问题为无约束最小化问题;③通过变分计算,解析导出梯度(Fréchet导数)表达式;④利用梯度法求解.此外,引入一阶吉洪诺夫(Tikhonov)正则化以应对逆问题的病态特性和噪声影响.数值应用中,将提出的目的 应用到一个简单的三维癌变乳房模型,借助PRP共轭梯度(CG)算法和时域有限差分(FDTD)法,仿真结果初步证实本文目的 的可行性、有效性和鲁棒性.