<i>In vivo</i>imaging in an ABSL-3 regional biocontainment laboratory

Scanga, Charles A.; Lopresti, Brian J.; Tomko, Jaime; Frye, L. James; Coleman, Teresa; Fillmore, Daniel; Carney, Jonathan; Lin, Philana Ling; Flynn, JoAnne L.; Gardner, Christina L.; Sun, Chaoyang; Klimstra, William B.; Ryman, Kate D.; Reed, Douglas S.; Fisher, Daniel J.; Cole, Kelly Stefano

doi:10.1111/2049-632x.12186

Cited by 11 publications

(7 citation statements)

References 25 publications

(29 reference statements)

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“…Published examples include the imaging suite at the Regional Biocontainment Laboratory (RBL), University of Pittsburgh, USA, which contains radiological, PET/CT, and optical imaging equipment all housed within a BSL-3 containment facility. 12 Mice are housed in biocontainment caging and prior to optical imaging are anesthetized and then placed directly within the optical imaging system, which is subsequently decontaminated after each use.…”

Section: Design Of a Contained Imaging Facilitymentioning

confidence: 99%

Establishing an In Vivo Imaging Capability in High-Containment

et al. 2016

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Whole body imaging technologies, coupled with the generation of stable light emitting strains of infectious agents, make it possible to monitor the location and kinetics of agent growth inside an animal by noninvasive nonterminal methodologies throughout the course of the infection. However, imaging of viable hazardous pathogens, such as Yersinia pestis, requires specialized containment facilities to prevent contamination of both personnel and the wider environment. Here we describe the successful establishment of an in vivo bioimaging capability specifically addressing the requirement for safe and secure work with hazard group 3 pathogens and demonstrate its utility for imaging mice infected with a bioluminescence producing strain of Y. pestis.

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Section: Design Of a Contained Imaging Facilitymentioning

confidence: 99%

Establishing an In Vivo Imaging Capability in High-Containment

et al. 2016

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“…18F-PET-CT, a powerful and precise imaging technique which uses [ 18 F]fluorodeoxyglucose as a tracer for metabolic activity with positron emission tomography co-registered with computed tomography, was used to visualize early granuloma formation in the lungs of CMs following bronchoscopic delivery of Mtb. This noninvasive imaging technique is capable of detecting lesions as small as 1 mm in diameter, allowing investigators to follow the dynamics of granuloma formation and dissemination in an individual animal over time, by size and metabolic activity, and to correlate early events in Mtb infection with establishment of either latent infection or progression to active TB disease [11,12].…”

Section: Session 2: Pulmonary Immunology: Implications For Aerosol Tbmentioning

confidence: 99%

Developing aerosol vaccines for Mycobacterium tuberculosis: Workshop proceedings

Achkar¹,

Beverley²,

Boom³

et al. 2015

Vaccine

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On April 9, 2014, Aeras and the National Institute of Allergy and Infectious Diseases convened a workshop entitled "Developing Aerosol Vaccines for Mycobacterium tuberculosis" in Bethesda, MD. The purpose of the meeting was to explore the potential for developing aerosol vaccines capable of preventing infection with M. tuberculosis (Mtb), preventing the development of active tuberculosis (TB) among those latently infected with Mtb, or as immunotherapy for persons with active TB. The workshop was organized around four key questions relevant to developing and assessing aerosol TB vaccines: (1) What is the current knowledge about lung immune responses and early pathogenesis resulting after Mtb infection and what are the implications for aerosol TB vaccine strategies? (2) What are the technical issues surrounding aerosol vaccine delivery? (3) What is the current experience in aerosol TB vaccine development? and (4) What are the regulatory implications of developing aerosol vaccines, including those for TB? Lessons learned from the WHO effort to develop an aerosol measles vaccine served as a case example for overall discussions at the meeting. Workshop participants agreed that aerosol delivery represents a potentially important strategy in advancing TB vaccine development efforts. As no major regulatory, manufacturing or clinical impediments were identified, members of the workshop emphasized the need for greater support to further explore the potential for this delivery methodology, either alone or as an adjunct to traditional parenteral methods of vaccine administration.

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“…Animal models are fundamental for the development of novel treatments, as they provide a platform in which the efficacy of new interventions can be evaluated against infectious challenge. Longitudinal images of the TB macaque model can be acquired from live animals using medical imaging systems 9 – 11 – e.g., chest radiographs (CXR), computed tomography (CT) and position emission tomography(PET) – and employed to visualize the evolution of pulmonary disease.…”

Section: Introductionmentioning

confidence: 99%

Unsupervised CT Lung Image Segmentation of a Mycobacterium Tuberculosis Infection Model

Gordaliza

Muñoz-Barrutia

Abella

et al. 2018

Sci Rep

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Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis that produces pulmonary damage. Radiological imaging is the preferred technique for the assessment of TB longitudinal course. Computer-assisted identification of biomarkers eases the work of the radiologist by providing a quantitative assessment of disease. Lung segmentation is the step before biomarker extraction. In this study, we present an automatic procedure that enables robust segmentation of damaged lungs that have lesions attached to the parenchyma and are affected by respiratory movement artifacts in a Mycobacterium Tuberculosis infection model. Its main steps are the extraction of the healthy lung tissue and the airway tree followed by elimination of the fuzzy boundaries. Its performance was compared with respect to a segmentation obtained using: (1) a semi-automatic tool and (2) an approach based on fuzzy connectedness. A consensus segmentation resulting from the majority voting of three experts’ annotations was considered our ground truth. The proposed approach improves the overlap indicators (Dice similarity coefficient, 94% ± 4%) and the surface similarity coefficients (Hausdorff distance, 8.64 mm ± 7.36 mm) in the majority of the most difficult-to-segment slices. Results indicate that the refined lung segmentations generated could facilitate the extraction of meaningful quantitative data on disease burden.

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In vivoimaging in an ABSL-3 regional biocontainment laboratory

Cited by 11 publications

References 25 publications

Establishing an In Vivo Imaging Capability in High-Containment

Establishing an In Vivo Imaging Capability in High-Containment

Developing aerosol vaccines for Mycobacterium tuberculosis: Workshop proceedings

Unsupervised CT Lung Image Segmentation of a Mycobacterium Tuberculosis Infection Model

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