1.Research progress on the mechanism of ferroptosis on osteosarcoma
Yize YAN ; Long YUAN ; Wanxiang LI ; Sen LI ; Jichao BIAN ; Guodong WANG
Journal of Chinese Physician 2024;26(1):142-146
Osteosarcoma is the most common malignant bone tumor disease in young children and young people. It usually has strong invasiveness, and conventional treatment cannot achieve the expected results. Therefore, studying the mechanism of tumor cell death and exploring more effective treatment methods is of great significance. As a new form of cell death, ferroptosis has been found to have three main regulatory pathways closely related to tumor cell molecular mechanisms, genes, etc. This provides a theoretical basis for the application of ferroptosis in the treatment of osteosarcoma. This article reviews recent research on the interaction between ferroptosis and osteosarcoma in regulating molecules, genes, and other factors, as well as the application of ferroptosis in the treatment of osteosarcoma.
2.Research progress in the artificial intelligence-assisted measurement of myocardial strain
Xinxin LI ; Yize BIAN ; Hang ZHAO ; Meng JIANG
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(6):773-778
Myocardial strain is a dimensionless parameter reflecting the degree of deformation of the whole or local myocardium under stress,which can quantitatively detect myocardial injury and guide the early diagnosis,intervention and prognostic assessment of cardiac diseases.Cardiac ultrasound,cardiac CT and cardiac magnetic resonance can all be used for strain imaging and analysis,with two-dimensional speckle-tracking echocardiography being the most widely used means of myocardial strain detection today.However,due to inter-observer variations in manual analysis of myocardial strain and differences in the imaging systems and analysis software,the consistency and reproducibility of measured strain values among vendors are poor,limiting the clinical application of myocardial strain.Artificial intelligence(AI)can overcome the defects of strain measurement to a certain extent through automatic strain calculation and image quality assessment,which has a broad developmental prospect.This review focuses on the progress of AI-assisted measurement of myocardial strain in ultrasound,magnetic resonance,and other imaging modalities,as well as its application to disease diagnosis and patient prognosis assessment.This will improve the efficiency and consistency of strain measurement and promote the routine application of myocardial strain to clinical practice,which will play an incremental role in assessing myocardial injury and cardiac function.However,most of the current studies involve small sample sizes and lack external validation,and the reliability of their results needs to be further verified.