Q
Qing Lv
Researcher at Sichuan University
Publications - 69
Citations - 1325
Qing Lv is an academic researcher from Sichuan University. The author has contributed to research in topics: Breast cancer & Medicine. The author has an hindex of 17, co-authored 60 publications receiving 882 citations.
Papers
More filters
Journal ArticleDOI
Automated diagnosis of breast ultrasonography images using deep neural networks.
TL;DR: An automated breast cancer diagnosis model for ultrasonography images using deep convolutional neural networks with multi‐scale kernels and skip connections is developed and achieves a performance comparable to human sonographers and can be applied to clinical scenarios.
Journal ArticleDOI
Hypermethylation of tumor suppressor genes involved in critical regulatory pathways for developing a blood-based test in breast cancer.
Ramin Radpour,Zeinab Barekati,Corina Kohler,Qing Lv,Nicole Bürki,Claude Diesch,Johannes Bitzer,Hong Zheng,Seraina Schmid,Xiao Yan Zhong +9 more
TL;DR: This study suggests that the selected TSG panel combined with the high-throughput technology might be a useful tool to develop epigenetic based predictive and prognostic biomarker for breast cancer relying on pathologic methylation changes in tumor tissue, as well as in circulation.
Journal ArticleDOI
Comparison of mammosphere formation from breast cancer cell lines and primary breast tumors
TL;DR: This study validates the use of breast cancer cell lines as models to elucidate the nature of BCSCs and explores the optimal culturing system forBCSCs from the two cell lines and primary breast tumors.
Journal ArticleDOI
Gastrointestinal microbiome and breast cancer: correlations, mechanisms and potential clinical implications.
Jiqiao Yang,Qiuwen Tan,Qingyu Fu,Yaojie Zhou,Yuanyuan Hu,Shenli Tang,Yuting Zhou,Junhui Zhang,Juanjuan Qiu,Qing Lv +9 more
TL;DR: Based on the current evidence, cues on future management strategies of breast cancer such as antibiotics and dietary interventions are proposed and large-scale clinical studies and bench-based researches are needed to validate the associations and elaborate the mechanisms so as to reduce the risk of Breast cancer and improve the outcomes of those already diagnosed.
Journal ArticleDOI
STAT3, a Poor Survival Predicator, Is Associated with Lymph Node Metastasis from Breast Cancer
Yujuan Chen,Jing Wang,Xiaodong Wang,Xuejuan Liu,Hongjiang Li,Qing Lv,Jingqiang Zhu,Bing Wei,Ying Tang +8 more
TL;DR: STAT3, a poor survival biomarker potential association with lymph node metastasis, was suitable for predication the OS of breast cancer patients after curative resection.