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HYBRID EVENT: You can participate in person at London, UK or Virtually from your home or work.
Jinyuan Zhou, Speaker at Cancer Conferences
Johns Hopkins University School of Medicine, United States

Abstract:

Amide proton transfer (APT) imaging is a novel protein-based molecular MRI technique that generates image contrast based on endogenous cellular proteins in tissue. APT imaging is a specific type of chemical exchange saturation transfer imaging. Theoretically, the APT-MRI signal depends primarily on the mobile amide proton concentration and amide proton exchange rates (which are related to tissue pH). The APT technique has been successfully used for non-invasive pH imaging in stroke (where pH drops) and protein content imaging in tumor (where many proteins are overexpressed). In this talk, I will first talk about the basic principle of APT imaging at the protein level and review its current successful applications for the imaging of brain tumors, including the detection and grading of tumors, the assessment of treatment effect versus tumor recurrence, and the identification of genetic markers. Notably, APT MRI has the potential for the detection of high-grade tumors that do not show Gd enhancement and the assessment of pseudoprogression and pseudoresponse during brain tumor treatment. Finally, I will introduce recent consensus recommendations for APT imaging of brain tumors on 3T MRI systems.

Audience Take Away Notes:

  • Learn the novel APT imaging technique
  • Researchers could expand their research and explore new applications on all fronts
  • Radiologists could enhance their daily clinical practice

Biography:

Dr. Jinyuan Zhou is an MRI physicist. His research focuses on developing new in vivo MRI methodologies to study brain function and diseases. He is currently a Professor in the Department of Radiology and Radiological Science. He has published  more than 180 peer-reviewed papers, including two scientific papers, as the first author, in Nature Medicine. He was awarded a fellow of ISMRM in 2022.

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