Recently, Lyu Yijie, graduate student of grade 2020 in medical imaging technology at the School of Medical Imaging of Binzhou Medical University (BMU) published a paper titled Multifunctional Nanosnowflakes for T1-T2 Double-Contrast Enhanced MRI and PAI Guided Oxygen Self-Supplementing Effective Anti-Tumor Therapy as the first author in a top journal International Journal of Nanomedicine (Chinese Academy of Sciences Medical Zone 2; JCR Q1, IF=7.033). The paper reflects the latest research results of molecular imaging probes by the basic research and clinical transformation team for molecular and functional imaging at BMU. Kan Junnan, graduate student of grade 2021 in medical imaging technology, is the co-first author; Associate Professor Xianglin Li, the team leader, is the correspondent author; Associate Professor Liu Yan, a team member, is the co-correspondent author.
Photodynamic therapy is an effective and non-invasive tumor treatment technology. The efficiency of photodynamic therapy depending on oxygen is limited to less oxygen in tumor cells compared to normal cells. It is more important to accurately monitor the tumor conditions before and after treatment, which has been a bottleneck hindering the development of accurate cancer treatment. Guided by imaging, photodynamic therapy is a high-potential accurate treatment technology. It is possible to determine the scheme before treatment and evaluate the effect after treatment by visualizing the size and location of tumors. In the study, novel snowflake-like nanoparticles are designed for tumor-targeted oxygen-enhanced photodynamic therapy. The nanoparticles react with H2O2 overexpressed in the tumor microenvironment to generate oxygen to improve the efficiency of tumor treatment. The nanoparticles also significantly enhance T1-T2 weighted signals and photoacoustic signals in tumor areas for accurate cancer diagnosis. Multi-modal imaging further improves the detection of cancer by accurately locating tumors and enhances the treatment effect of tumors by increasing oxygen content.
The study was supported with funds from the National Natural Science Foundation of China (81641074, 11805247), the Key R&D Program of Shandong Province (2018YFJH0501), and the Science and Technology Program of the Education Department of Shandong Province (J17KB082).
Link of the Paper:
SOURCE: School of Medical Imaging
BY: Liu Yan
