Home / Journals / MCB / Vol.15, No.4, 2018
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  • Open AccessOpen Access

    ARTICLE

    Stress-Based Plaque Vulnerability Index and Assessment for Carotid Atherosclerotic Plaques Using Patient-Specific Vessel Material Properties

    Qingyu Wang1, Dalin Tang1,2,*, Gador Canton3, Zheyang Wu2, Thomas S. Hatsukami4, Kristen L. Billiar5, Chun Yuan6
    Molecular & Cellular Biomechanics, Vol.15, No.4, pp. 189-201, 2018, DOI:10.32604/mcb.2018.04572
    Abstract Cardiovascular diseases are closely linked to atherosclerotic plaque development and rupture. Assessment of plaque vulnerability is of fundamental significance to cardiovascular research and disease diagnosis, prevention, treatment and management. Magnetic resonance image (MRI) data of carotid atherosclerotic plaques from 8 patients (5 male, 3 female; age: 62-83, mean=71) were acquired at the University of Washington (UW), Seattle by the Vascular Imaging Laboratory (VIL) with written informed consent obtained. Patient-specific vessel material properties were quantified using Cine MRI data for modeling use. 3D thin-layer models were used to obtain plaque stress and strain for plaque assessment.… More >

  • Open AccessOpen Access

    ARTICLE

    Image Recognition of Breast Tumor Proliferation Level Based on Convolution Neural Network

    Junhao Yang1, Chunxiao Chen1,*, Qingyang Zang1, Jianfei Li1
    Molecular & Cellular Biomechanics, Vol.15, No.4, pp. 203-214, 2018, DOI:10.32604/mcb.2018.03824
    Abstract Pathological slide is increasingly applied in the diagnosis of breast tumors despite the issues of large amount of data, slow viewing and high subjectivity. To overcome these problems, a micrograph recognition method based on convolutional neural network is proposed for pathological slide of breast tumor. Combined with multi-channel threshold and watershed segmentation, a sample database including single cell, adhesive cell and invalid cell was established. Then, the convolution neural network with six layers is constructed, which has ability to classify the stained breast tumor cells with accuracy of more than 90%, and evaluate the proliferation More >

  • Open AccessOpen Access

    ARTICLE

    Induction of Apoptosis and Autophagy Using Ectopic DSCR1 Expression in Breast Cancer Cells

    Zahra Niki Boroujeni1, Atefeh Shirkav1, Seyed Ahmad Aleyasin1,*
    Molecular & Cellular Biomechanics, Vol.15, No.4, pp. 215-227, 2018, DOI:10.32604/mcb.2018.01813
    Abstract Down syndrome critical region 1 gene (DSCR1) is an anti-angiogenesis gene that inhibits the growth of tumor cells. In this study, the role of autophagy and apoptosis in DSCR1-induced cytotoxicity were investigated in MDA-MB-468 breast cancer cells. Lentivirus vector harboring DSCR1 (LV-DSCR1+) was constructed in HEK 293 cells and the optimal dosage of lentivirus vector for infection was determined by the MTT assay. After infection of cells using LV-DSCR1+, acridine orange and ethidium bromide staining was performed to investigation of apoptosis and autophagy. Expression of DSCR1 and marker genes for angiogenesis (VEGF), apoptosis (Bax and Bcl2) and autophagy (LC3 More >

  • Open AccessOpen Access

    ARTICLE

    Shape Optimization of Orthopedic Fixation Plate Based on Static Stress Analysis

    Xiaozhong Chen1,*, Zhijian Mao1
    Molecular & Cellular Biomechanics, Vol.15, No.4, pp. 229-241, 2018, DOI:10.32604/mcb.2018.03818
    Abstract Shape optimization of orthopedic fixation plate is of great importance in the treatment of complex fracture. Therefore, a method in this paper to automatically optimize the complex shape of anatomical plate according to static analysis. Based on the theory of finite element analysis (FEA), our approach is processed as follows. First, the three-dimensional finite element model of the fracture fixation is constructed. Next, according to the type and feature of fracture, the anatomical plate was parameterized in two levels (the bounding surface and plate model). Then, parameter constraints are set up to meet the needs More >

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