Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
| Autor: | Pauline Maiello, Philana Ling Lin, Alexander G. White, Charles A. Scanga, JoAnne L. Flynn, M. Teresa Coleman, L. James Frye, Jaime A Tomko |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Tuberculosis medicine.drug_class General Chemical Engineering Antibiotics Disease General Biochemistry Genetics and Molecular Biology Mycobacterium tuberculosis 03 medical and health sciences Antibiotic resistance Medicine Lung biology medicine.diagnostic_test General Immunology and Microbiology business.industry General Neuroscience Cancer biology.organism_classification medicine.disease 030104 developmental biology medicine.anatomical_structure Positron emission tomography Radiology business |
| Zdroj: | Journal of Visualized Experiments. |
| ISSN: | 1940-087X |
| DOI: | 10.3791/56375-v |
| Popis: | Mycobacterium tuberculosis remains the number one infectious agent in the world today. With the emergence of antibiotic resistant strains, new clinically relevant methods are needed that evaluate the disease process and screen for potential antibiotic and vaccine treatments. Positron Emission Tomography/Computed Tomography (PET/CT) has been established as a valuable tool for studying a number of afflictions such as cancer, Alzheimer's disease, and inflammation/infection. Outlined here are a number of strategies that have been employed to evaluate PET/CT images in cynomolgus macaques that are infected intrabronchially with low doses of M. tuberculosis. Through evaluation of lesion size on CT and uptake of 18F-fluorodeoxyglucose (FDG) in lesions and lymph nodes in PET images, these described methods show that PET/CT imaging can predict future development of active versus latent disease and the propensity for reactivation from a latent state of infection. Additionally, by analyzing the overall level of lung inflammation, these methods determine antibiotic efficacy of drugs against M. tuberculosis in the most clinically relevant existing animal model. These image analysis methods are some of the most powerful tools in the arsenal against this disease as not only can they evaluate a number of characteristics of infection and drug treatment, but they are also directly translatable to a clinical setting for use in human studies. |
| Databáze: | OpenAIRE |
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