Objective: To investigate the effects of domestic bivalirudin on plasma intercellular adhesion molecular-1 (ICAM-1) during percutaneous coronary intervention (PCI).Methods: Sixty PCI candidates were randomly divided into heparin group (n =30) and bivalirudin group (n =30).They were respectively treated with intravenous heparin and domestic bivalirudin as the anticoagulants during PCI.ICAM-1 in blood was measured before PCI and in 2h, 1d and 7d after PCI, respectively.Results: In heparin group, ICAM-1 level decreased significantly in 2 h after the intravenous injection when compared with that before the injection and that in bivalirudin group at the same time point (P＜0.05).No significant differences in ICAM-1 level were found on the 1st and 7th day after PCI in the two groups when compared with that before the administration (P＞0.05).Mild bleeding occurred in three patients receiving heparin and one patient receiving bivalirudin,but there was no significant difference after PCI.Conclusion: Compared with bivalivudin, heparin has a short inhibitory effect on the expression of ICAM-1 during PCI.It is beneficial to the patients with kidney disease or stroke during PCI.

Solid tumors have spatial and temporal heterogeneity,which limits the use of traditional invasive biopsy but gives huge potential for medical imaging,because medical imaging can capture intra-tumoural heterogeneity by a non-invasive way.During the past decades,medical imaging innovations with updating hardware,new imaging agents and standard protocols,make the field move towards the era of quantitative analysis,promote the development of imaging date,automatic algorithm,reproducible analysis and intelligent recognition tools,which make it possible to use high-throughput extracted information in clinic (radiomics).A systematic methodology,including diagnosis based on radiology images and evaluation of treatment and prognosis of tumors,can be constructed by getting the image features in the multi-source data platform,combining with gene and clinical information,mining and screening the feature sets which highly correlate to the diagnosis of malignant tumors.Radiomics is not only a chance for imaging,but also facing sever challenges,which needs further validation in multicentric settings and in multidisciplinary laboratory.