Application of vascular endothelial growth factor receptor 2-targeted ultrasound molecular imaging in intraoperative assessment of tumor angiogenesis and boundary identification in vivo
|更新时间:2026-06-18
|
Application of vascular endothelial growth factor receptor 2-targeted ultrasound molecular imaging in intraoperative assessment of tumor angiogenesis and boundary identification in vivo
Application of vascular endothelial growth factor receptor 2-targeted ultrasound molecular imaging in intraoperative assessment of tumor angiogenesis and boundary identification in vivo
To develop and validate a targeted ultrasonographic (US) imaging agent with microbubbles (MBs) that binds to vascular endothelial growth factor receptor 2 (VEGFR2) in a murine model for tumor angiogenesis.
Methods:
Targeted US imaging agent was prepared by bridged avidin biotin through binding anti-VEGFR2 antibody to the shell of perfluorocarbonfilled MBs. The binding specificities of targeted MB (MBv) and with nonlabeled MB (MBc) were tested with VEGFR2-positive cells (human umbilical vein endothelial cells
HUVECs). In vivo imaging signals of contrast-enhanced US by using anti-VEGFR2-targeted MBv and MBc were quantified
in 10 mice bearing GL261 cells.
Results:
Attachment of HUVECs was significantly higher for MBv (mean MBs per cell 9.50.5) than MBc (mean MBs per cell 1.50.3). The imaging signal in the murine tumor angiogenesis model was significantly higher for MBv than for MBc.
Conclusion:
Targeted contrast-enhanced US directed at VEGFR2 improves in vivo visualization of tumor angiogenesis and boundary identification in a murine model of orthotopic gliomas.
Analysis and reflections on the ultrasound quality control indicators of tertiary general hospitals in Shanghai (2023-2024)
Combined ultrasound-based intratumoral and peritumoral radiomics with clinical characteristics predict central lymph node metastasis in papillary thyroid carcinoma patients
Research on the effectiveness of AI-based imaging standard management in enhancing the quality control of ultrasound physical examinations
Application value of a multifactorial predictive model based on clinical, pathological, and ultrasound features in the preoperative assessment of lymphovascular invasion in breast cancer
The value of automatic segmentation radiomics features in predicting pathological complete response after neoadjuvant therapy for breast cancer
Related Author
CHEN Man
CHEN Qiao
DU Lianfang
REN Yunyun
HUANG Beijian
QIN Qianmiao
CHEN Suning
WANG Wenping
Related Institution
Department of Ultrasound, Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai Ultrasound Quality Control Center
Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Department of Ultrasound, Obstetrics and Gynecology Hospital of Fudan University
Department of Ultrasound, Zhongshan Hospital of Fudan University