Novel and Established Techniques for Metabolic Imaging in Clinical and Preclinical Settings

TOPICAL COLLECTIONS

Guest Editor

Travis Salzillo

University of Texas, MD Anderson Cancer Center

Dr. Travis Salzillo is a postdoctoral fellow in the Department of Radiation Oncology at MD Anderson Cancer Center. Dr. Salzillo is a current NIH TL1 fellow. His research focuses on applications of MRI in radiation oncology with an emphasis on hardware, software, and pulse sequence development for MR Linac devices. Throughout his PhD, Dr. Salzillo investigated metabolic changes of preclinical glioblastoma models throughout tumor development and regression and relapse following radiotherapy using methods such as in vivo, hyperpolarized magnetic resonance spectroscopy, ex vivo nuclear magnetic resonance, and ex vivo immunohistochemistry. Dr. Salzillo is a practical science communicator, having authored over 20 manuscripts and received numerous presentation, research, and manuscript awards, including the 2020-2021 Aaron Blanchard Award for Best Dissertation in Medical Physics from his graduate program at The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences. Following his postdoctoral fellowship, Dr. Salzillo will begin his residency in radiation physics at MD Anderson Cancer Center to finalize his training as a board-certified medical physicist and independent investigator.

Collection Overview

Dysregulated cellular metabolism is a hallmark of cancer and many other diseases. Thus, many researchers are dedicated to detecting metabolites and the enzymes that catalyze their conversion in afflicted cells and associated immune components as biomarkers for disease progression and therapeutic efficacy. As new techniques are developed, and technology continues to advance, the interrogation of steady-state and dynamic metabolic activity has expanded from in vitro and ex vivo experiments to non-invasive, in vivo imaging. This Methods Collection will explore novel and established approaches to metabolic imaging that span basic, pre-clinical applications to translational and clinical implementation.

Articles

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Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography-Computed Tomography Scanner

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Cited by 1

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2024

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John J. Lee¹, Nicholas Metcalf¹, Tony A. Durbin¹, Jennifer Byers¹, Kim Casey¹, Hussain Jafri¹, Manu S. Goyal*¹, Andrei G. Vlassenko*¹

¹Mallinckrodt Institute of Radiology, Washington University School of Medicine

Abstracts

Evaluation of tumor acidosis in pre-clinical cancer models using in vivo PET/MRI

Alia Khaled¹,

Mark D Pagel^*1,

Chetan Dhakan¹,

Xiaofei Liang¹,

Lorenzo Palagi²,

Tyler R Pollard¹,

Alyssa C Pollard³,

Elijah Gonzalez⁴,

William Schuler¹,

Jorge de la Cerda¹,

Federica Pisaneschi¹,

Aikaterini Kotrotsou¹

¹Department of Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, USA,

²Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy,

³Department of Chemistry, Stony Brook University, Stony Brook, NY, USA,

⁴Department of Chemistry, Rice University, Houston TX, USA

NADH-FLIM metabolic imaging of live in vitro tumors as a tool for novel anti-cancer treatment testing

Chiara Maria Mazzanti^*1

¹Fondazione Pisana per la Scienza

Evaluation of tumor acidosis in pre-clinical cancer models using in vivo acidoCEST MRI

Alia Khled¹,

Mark D Pagel^*2,

Tianzhe Li²,

William Schuler²,

Jorge de la Cerda²

¹The University of Texas Health Science Center, Houston TX, USA,

²Department of Cancer Systems Imaging, UT MD Anderson Cancer Center