"Recovery of spatial alternation deficits following selective hippocampal destruction with kainic acid": Correction to Kesslak and Gage (1986).

Reports an error in "Recovery of spatial alternation deficits following selective hippocampal destruction with kainic acid" by J. Patrick Kesslak and Fred H. Gage (Behavioral Neuroscience, 1986[Apr], Vol 100[2], 280-283). In the aforementioned article, the degrees of freedom reported in the Results section are incorrect. In the sixth paragraph on page 281, the second sentence should read as follows: Results of the ANOVA indicated a significant effect for surgical treatments. F(2, 25)=25.44, p1986-21445-001.) Examined whether the sympathetic ingrowth of superior cervical ganglion (SCG) fibers sprouting into the hippocampus following kainic acid (KA) lesion of CA3 and CA4 pyramidal cells in male Sprague-Dawley rats would contribute to behavioral recovery. 31 Ss were trained on a forced-choice task. After reaching criterion performance levels, Ss received either KA (8 nM/0.4 μl) or saline injections into the hippocampus and were again tested on the forced-choice task. Half of the Ss had their SCG removed 35 days after injections, and all were again tested on the forced-choice task. Analysis of variance (ANOVA) showed Ss receiving KA took significantly longer to reach criterion following injections. Removal of the SCG after recovery reintroduced the performance deficit of KA-treated Ss on the alternation task; no other group showed any effect for SCG removal. Results indicate that the SCG may have a modulatory effect in behavioral recovery, although other mechanisms may also be operating. (22 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

P16 and HPV Genotype Significance in HPV-Associated Cervical Cancer—A Large Cohort of Two Tertiary Referral Centers

The expression of p16 is a good surrogate of human papillomavirus (HPV) infection in HPV-associated cancers. The significance of p16 expression, HPV genotype and genera in the outcome of patients with HPV-associated cervical cancer (CC) is unclear. Our aim is to ascertain the prognostic significance of these factors. Data from 348 patients (median age: 47.5 years old) with CC, diagnosed in two referral centers, were retrospectively collected. Advanced disease (FIGO2018 IB2-IV) was present in 68% of patients. A single HPV genotype was identified in 82.8% of patients. The most common HPVs were HPV16 (69%) and HPV18 (14%). HPV genera reflected this distribution. HPV16 tumors presented at an earlier stage. P16 was negative in 18 cases (5.2%), 83.3% of which were squamous cell carcinomas. These cases occurred in older patients who tended to have advanced disease. In the univariate analysis, HPV16 (HR: 0.58; p = 0.0198), α-9 genera (HR: 0.37; p = 0.0106) and p16 overexpression (HR: 0.54; p = 0.032) were associated with better survival. HPV16 (HR: 0.63; p = 0.0174) and α-9 genera (HR: 0.57; p = 0.0286) were associated with less relapse. In the multivariate analysis, only the International Federation of Gynecology and Obstetrics (FIGO) stage retained an independent prognostic value. HPV16, α-9 genera and p16 overexpression were associated with better survival, although not as independent prognostic factors. Patients with p16-negative HPV-associated CC were older, presented with advanced disease and had worse prognosis.     

Modelling the effects of human papillomavirus in cervical cells

Worldwide, cervical cancer is the second most common cancer in women, after breast cancer. The prevalence of this malignant disease is estimated at 1.4 million cases worldwide, causing about 290,000 deaths and 500,000 new cases per year, of which 80% correspond to women living in developing countries. In this work we propose a family of ordered models for basal cells of the cervix corresponding to different stages ranging from normal cells to the formation of precancerous lesions. We analyse the first member of the family analytically and for the second member we developed a non-standard numerical method in order to extract some biological information.     

HPV16型免疫胶体金诊断试纸条的制备

建立一种快速、准确、简便检测高危型人乳头瘤病毒16型的胶体金诊断试纸条,以用于宫颈癌的早期筛查。用柠檬酸三钠还原法制备了酒红色的30 nm胶体金颗粒,胶体金颗粒标记的单抗的实际标记量为6μg/mL。选用了2种稳定剂BSA和PEG20000获得了稳定的金标抗体溶液。实验结果表明:第7种样品垫处理液和第7种结合垫处理液处理样品垫和结合垫组装的试纸条效果最好;试纸条检测HPV16E6蛋白为阳性,检测HPV16L1蛋白为阴性。     

基于改进U-Net的宫颈细胞核图像分割

原始的U-Net采用跳跃结构结合高低层的图像信息,使得U-Net模型有良好的分割效果,但是分割结果在宫颈细胞核边缘依然存在分割欠佳、过分割和欠分割等不足.由此提出了改进型U-Net网络图像分割方法.首先将稠密连接的DenseNet引入U-Net的编码器部分,以解决编码器部分相对简单,不能提取相对抽象的高层语义特征.然后对二元交叉熵损失函数中的宫颈细胞核和背景给予不同的权重,使网络更加注重细胞核特征的学习.最后在池化操作过程中,对池化域内的像素值分配合理的权值,解决池化层丢失信息的问题.实验证明,改进型U-Net网络使宫颈细胞核分割效果更好,模型也越鲁棒,过分割和欠分割比率也越少.显然,改进型U-Net是更有效的图像分割方法.     

Coupling image processing and stress analysis for damage identification in a human premolar tooth

Non-carious cervical lesions are characterized by the loss of dental hard tissue at the cement-enamel junction (CEJ). Exceeding stresses are therefore generated in the cervical region of the tooth that cause disruption of the bonds between the hydroxyapatite crystals, leading to crack formation and eventual loss of enamel and the underlying dentine.Damage identification was performed by image analysis techniques and allowed to quantitatively assess changes in teeth. A computerized two-step procedure was generated and applied to the first left maxillary human premolar. In the first step, dental images were digitally processed by a segmentation method in order to identify the damage. The considered morphological properties were the enamel thickness and total area, the number of fragments in which the enamel is chipped. The information retrieved by the data processing of the section images allowed to orient the stress investigation toward selected portions of the tooth. In the second step, a three-dimensional finite element model based on CT images of both the tooth and the periodontal ligament was employed to compare the changes occurring in the stress distributions in normal occlusion and malocclusion. The stress states were analyzed exclusively in the critical zones designated in the first step.The risk of failure at the CEJ and of crack initiation at the dentin-enamel junction through the quantification of first and third principal stresses, von Mises stress, and normal and tangential stresses, were also estimated.     

一个医学数据集上的决策树分类研究

人乳头瘤病毒(HPV)是导致宫颈癌的一大要素。利用Weka这个数据挖掘平台,对中国肿瘤防治数据库山西子宫颈癌医学数据集进行C4.5决策树分类研究,从决策树中提取了一些比较有意义的规则,发现一些容易导致感染HPV病毒的因素。     

一种基于显微多光谱宫颈细胞图像自动分割方法

介绍了一种基于多光谱宫颈显微图像自动分割方法。细胞涂片每一个局部区域经过显微镜放大后再通过电调谐光器件分别取出不同光谱波段的图像，经过CCD送入计算机后得到该视场分析所需的多光谱图像。从所获得的多光谱图像中选择一定的波段图像对数变换相除、多阈值分割和形态学操作，最后获得宫颈细胞的胞浆和胞核覆盖层。本文首次将多光谱分析应用到宫颈显微图像分割中，具有分割准确、分割速度快、能够去除胞浆重叠和受外界干扰少的特点。     

HSP70基因在人胃癌、宫颈癌中高表达和癌变关系的研究

采用人的HSP70基因探针P17与人的胃癌、宫颈癌的癌组织中提取的RNA进行northern杂交，结果均出现了比正常组织较强的杂交信号。表明HSP70基因在癌变组织中呈现高表达，与组织的癌变程度表现出了很强的相关性，为进一步了解细胞的癌变机理和对癌症的预防及基因治疗提供了可靠的实验依据。