主动脉出口血压对左心室血流特性的影响

采用Mimics对心脏进行三维重构，用3-matic进行模型优化以及模型误差分析，对左心室室壁运动做速度分布假设，基于UDF宏文件对左心室室壁运动编写程序，将血液视为非牛顿流体，采用动网格技术研究不同血压对左心室血液流动的影响。模拟发现当左心室收缩时，压力梯度明显，内部压力减小。当左心室舒张时，内部压力逐渐增高。二尖瓣口处的速率先增大后减小。血压升高，左心室内剪切应力持续增大，极易破坏红细胞结构，产生溶血现象，导致心脏功能紊乱。     

疱疹病毒抗体阳性肺炎支原体肺炎患儿免疫状况及临床特征

目的探讨疱疹病毒抗体阳性的肺炎支原体肺炎(MPP)患儿免疫状况及临床特征。方法回顾分析2015年1月—2017年5月收治的360例2个月～16岁因MPP住院的患儿临床资料,以EB病毒(EBV)、巨细胞病毒(CMV)、单纯疱疹病毒(HSV)任一疱疹病毒IgM抗体阳性的162例患儿为抗体阳性组,另198例EBV、CMV、HSV抗体均阴性的患儿作为对照组,两组进行分析比较。结果 360例MPP患儿中男188例、女172例,合并疱疹病毒IgM抗体阳性162例,其中EBV IgM阳性97例,阳性率26.9%;CMV IgM阳性39例,阳性率10.8%;HSV IgM阳性97例,阳性率26.9%。所有患儿均未予抗病毒治疗,经治疗症状缓解好转出院。抗体阳性组重症MPP、大叶性实变、并发呼吸衰竭的比例均高于对照组,血清IgM、CD~(4+)T细胞、CD~(8+)T细胞、淋巴细胞、NK细胞、白细胞计数、乳酸脱氢酶、丙氨酸氨基转移酶均高于对照组,大环内酯类抗生素使用时间长于对照组,使用激素率高于对照组,差异均有统计学意义(P均0.05)。MPP合并2种病毒IgM抗体阳性者的血IgM和三酰甘油水平高于合并1种者,差异有统计学意义(P0.05)。合并3种病毒IgM抗体阳性者与合并1种者比较,住院时间、发热时间、大环内酯类抗生素使用时间均有延长,血IgM、丙氨酸氨基转移酶水平更高,重症MPP发生率增高,差异均有统计学意义(P0.05)。结论疱疹病毒IgM抗体阳性MPP患儿的炎症反应强烈,临床症状重,病程长,并发症多,需更长时间的治疗。     

Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma

PurposeTo compare morphological imaging features and CT texture histogram parameters between grade 3 pancreatic neuroendocrine tumors (G3-NET) and neuroendocrine carcinomas (NEC).Materials and methodsPatients with pathologically proven G3-NET and NEC, according to the 2017 World Health Organization classification who had CT and MRI examinations between 2006-2017 were retrospectively included. CT and MRI examinations were reviewed by two radiologists in consensus and analyzed with respect to tumor size, enhancement patterns, hemorrhagic content, liver metastases and lymphadenopathies. Texture histogram analysis of tumors was performed on arterial and portal phase CT images. images. Morphological imaging features and CT texture histogram parameters of G3-NETs and NECs were compared.ResultsThirty-seven patients (21 men, 16 women; mean age, 56 ± 13 [SD] years [range: 28-82 years]) with 37 tumors (mean diameter, 60 ± 46 [SD] mm) were included (CT available for all, MRI for 16/37, 43%). Twenty-three patients (23/37; 62%) had NEC and 14 patients (14/37; 38%) had G3-NET. NECs were larger than G3-NETs (mean, 70 ± 51 [SD] mm [range: 18 - 196 mm] vs. 42 ± 24 [SD] mm [range: 8 - 94 mm], respectively; P = 0.039), with more tumor necrosis (75% vs. 33%, respectively; P = 0.030) and lower attenuation on precontrast (30 ± 4 [SD] HU [range: 25-39 HU] vs. 37 ± 6 [SD] [range: 25-45 HU], respectively; P = 0.002) and on portal venous phase CT images (75 ± 18 [SD] HU [range: 43 - 108 HU] vs. 92 ± 19 [SD] HU [range: 46 - 117 HU], respectively; P = 0.014). Hemorrhagic content on MRI was only observed in NEC (P = 0.007). The mean ADC value was lower in NEC ([1.1 ± 0.1 (SD)] × 10⁻³ mm²/s [range: (0.91 - 1.3) × 10⁻³ mm²/s] vs. [1.4 ± 0.2 (SD)] × 10⁻³ mm²/s [range: (1.1 - 1.6) × 10⁻³ mm²/s]; P = 0.005). CT histogram analysis showed that NEC were more heterogeneous on portal venous phase images (Entropy-0: 4.7 ± 0.2 [SD] [range: 4.2-5.1] vs. 4.5 ± 0.4 [SD] [range: 3.7-4.9]; P = 0.023).ConclusionPancreatic NECs are larger, more frequently hypoattenuating and more heterogeneous with hemorrhagic content than G3-NET on CT and MRI.     

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.     

基于灰色关联度分析和聚类分析的3种滇产重楼抗肝癌作用谱效关系探索

目的:研究长柱重楼、滇重楼和南重楼的HPLC指纹图谱与其抗肝癌作用的谱效关系,为明确重楼抗肝癌作用的物质基础提供实验依据。方法:采用HPLC建立3种重楼提取物的指纹图谱,流动相乙腈(A)-水(B)梯度洗脱(0～10 min,20%A; 10～20 min,20%～25%A; 20～30 min,25%～30%A; 30～40 min,30%～35%A; 40～50 min,35%～40%A; 50～60 min,40%A; 60～75 min,40%～45%A; 75～80 min,45%～60%A),流速0. 9 m L·min~(-1),检测波长203 nm;利用噻唑蓝(MTT)比色法测定3种重楼提取物对肝癌HepG2细胞的增殖抑制作用,计算半数抑制浓度(IC_(50));运用聚类分析(HCA)和灰色关联度分析(GRA)研究3种重楼指纹图谱和抗肝癌作用的关系,找出对抗肝癌作用贡献较大的成分。结果:在3种重楼的HPLC指纹图谱中,确定其中11个色谱峰为共有峰。作用时间72 h时长柱重楼、滇重楼、南重楼的IC_(50)分别为148. 33,178. 87,208. 09 mg·L~(-1),其中长柱重楼的抗肝癌活性最强。灰色关联度结果显示,滇重楼共有峰中关联度较高的为1～10号峰,长柱重楼共有峰关联度较高的为1～7号峰,南重楼共有峰中关联度较高的为1～4,6～10,N1号峰,与IC_(50)关联度均0. 7。各重楼变量的聚类分析结果显示,可与IC_(50)聚为一类的色谱峰的关联度均 0. 7。结论:建立了3种重楼的HPLC指纹图谱,重复性良好。3种重楼中的1～4,6和7号色谱峰对抗肝癌药效贡献最大。     

中医特色护理对心肌梗死后心律失常的应用效果研究

目的探讨中医特色护理联合全程优质护理对心肌梗死后心律失常的应用效果。方法收集2017年1月-2018年12月收治的心肌梗死后心律失常患者88例,随机分为试验组和对照组,各44例。对照组患者予以全程优质护理。试验组患者予以全程优质护理联合中医特色护理。比较2组患者护理满意度及心理焦虑、抑郁评分。结果干预后2组心理焦虑、抑郁评分均降低(P<0.05);与对照组相比,试验组护理满意率较高,试验组心理焦虑、抑郁评分较低(P<0.05)。结论全程优质护理联合中医特色护理在心肌梗死后心律失常患者的护理中具有积极作用,能够改善心理健康状态。     

液质联用技术鉴定清血八味片化学成分研究

目的:采用高效液相色谱-三重四级杆质谱(HPLC-MS/MS)测定清血八味片中的化学成分。方法:在负离子条件下采用Halo C_(18)色谱柱(2.1 mm×100 mm,2.7μm),以0.1%甲酸-10 mmol/L甲酸铵水和乙腈为流动相进行梯度洗脱,质谱采用Scan模式和MRM模式,检测清血八味片中的化学成分。结果:共鉴定出紫草中成分7种、土木香中成分3种、人工牛黄中成分4种、栀子中成分7种、瞿麦中成分7种、甘草中成分12种。结论:该方法快速可靠,操作简便,可用于清血八味片的质量控制研究,为临床药物使用提供一定的依据。     

薄层色谱法在当前中药质量标准中的应用探讨

薄层色谱鉴别在历版《中国药典》中的应用经历了从无到有、从少到多的过程；而薄层扫描含量测定在最近几版《中国药典》中的应用比例逐渐降低。随着对中药质量标准体系要求的进一步提高，薄层色谱法的不足之处陆续显现，如仪器普及率低、设备并不简单、结果重复性和稳定性较差、鉴别速度及准确性不及高效液相色谱法、展开剂毒性大等，逐渐不合时宜。在制定中药质量标准时，研究者不应该墨守成规，薄层色谱鉴别也不应该是雷打不动的定性鉴别必备选项。高效液相色谱法具备完全取代薄层色谱法的可行性，薄层色谱法可作为高效液相色谱法的补充。为充分降低检测成本、缩短检测周期、提高鉴别效率，笔者建议中药质量标准体系应该大幅减少薄层色谱鉴别方法的应用，增加高效液相特征图谱鉴定，尽量做到“一个条件，一张图谱”；除非确有必要，《中国药典》等国家质量标准体系应将薄层色谱鉴别作为推荐方法，而非强制标准。