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  1. No Access

    Article

    Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer

    Noninvasively and accurately predicting subcarinal lymph node metastasis (SLNM) for patients with non-small cell lung cancer (NSCLC) remains challenging. This study was designed to develop and validate a tumor...

    Hao-Ji Yan MD, Jia-Sheng Zhao MD, Hou-Dong Zuo MD, PhD… in Annals of Surgical Oncology (2024)

  2. No Access

    Article

    Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram

    Coronary computed tomography angiography (CCTA) is a well-established non-invasive diagnostic test for the assessment of coronary artery diseases (CAD). CCTA not only provides information on luminal stenosis b...

    Zhen-Yu Shu MD, Si-Jia Cui MD, Yue-Qiao Zhang MD… in Journal of Nuclear Cardiology (2022)

  3. No Access

    Article

    Elevated SHOX2 Expression is Associated with Tumor Recurrence of Hepatocellular Carcinoma

    SHOX2 (short stature homeobox 2) is a crucial transcriptional regulator in several genetic disorders and has been demonstrated to be an excellent biomarker in the diagnosis and evaluation of lung cancer. Howev...

    Tian Yang MD, Han Zhang MD, Sheng-Yun Cai MD, Yi-Nan Shen MD… in Annals of Surgical Oncology (2013)

  4. No Access

    Article

    Characteristics and Growth Patterns of Human Peritoneal Mesothelial Cells: Comparison Between Advanced Epithelial Ovarian Cancer and Non-Ovarian Cancer Sources

    To compare the characteristics and growth patterns of human peritoneal mesothelial cells (HPMCs) from advanced epithelial ovarian cancer (EOC) patients with those from non-EOC patients.

    **ang-Yun Zhang MD, PhD, Ruth Pettengell MD… in The Journal of the Society for Gynecologic… (1999)