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Aguilera-Correa JJ, Salinas B, González-Arjona M, de Pablo D, Muñoz P, Bouza E, Fernández Aceñero MJ, Esteban J, Desco M, Cussó L. Positron Emission Tomography-Computed Tomography and Magnetic Resonance Imaging Assessments in a Mouse Model of Implant-Related Bone and Joint Staphylococcus aureus Infection. Microbiol Spectr 2023; 11:e0454022. [PMID: 37010409 PMCID: PMC10269916 DOI: 10.1128/spectrum.04540-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/04/2023] [Indexed: 04/04/2023] Open
Abstract
Osteomyelitis is an infection of the bone, associated with an inflammatory process. Imaging plays an important role in establishing the diagnosis and the most appropriate patient management. However, data are lacking regarding the use of preclinical molecular imaging techniques to assess osteomyelitis progression in experimental models. This study aimed to compare structural and molecular imaging to assess disease progression in a mouse model of implant-related bone and joint infections caused by Staphylococcus aureus. In SWISS mice, the right femur was implanted with a resorbable filament impregnated with S. aureus (infected group, n = 10) or sterile culture medium (uninfected group, n = 6). Eight animals (5 infected, 3 uninfected) were analyzed with magnetic resonance imaging (MRI) at 1, 2, and 3 weeks postintervention, and 8 mice were analyzed with [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET)-computed tomography (CT) at 48 h and at 1, 2, and 3 weeks postintervention. In infected animals, CT showed bone lesion progression, mainly in the distal epiphysis, although some uninfected animals presented evident bone sequestra at 3 weeks. MRI showed a lesion in the articular area that persisted for 3 weeks in infected animals. This lesion was smaller and less evident in the uninfected group. At 48 h postintervention, FDG-PET showed higher joint uptake in the infected group than in the uninfected group (P = 0.025). Over time, the difference between groups increased. These results indicate that FDG-PET imaging was much more sensitive than MRI and CT for differentiating between infection and inflammation at early stages. FDG-PET clearly distinguished between infection and postsurgical bone healing (in uninfected animals) from 48 h to 3 weeks after implantation. IMPORTANCE Our results encourage future investigations on the utility of the model for testing different therapeutic procedures for osteomyelitis.
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Affiliation(s)
- J. J. Aguilera-Correa
- Departamento de Química en Ciencias Farmacéuticas. Universidad Complutense de Madrid, Madrid, Spain
- CIBERINFEC-CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - B. Salinas
- Unidad de Medicina y Cirugía Experimenta, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Departamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain
- Unidad de Imagen Avanzada, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III. Madrid, Spain
| | - M. González-Arjona
- Unidad de Medicina y Cirugía Experimenta, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Unidad de Imagen Avanzada, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
| | - D. de Pablo
- Servicio de Anatomía Patológica Hospital Clínico San Carlos, Fundación para la Investigación Biomédica HCSC, Madrid, Spain
| | - P. Muñoz
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Madrid, Spain
| | - E. Bouza
- Servicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
- CIBER Enfermedades Respiratorias, CIBERES, Madrid, Spain
| | - M. J. Fernández Aceñero
- Servicio de Anatomía Patológica Hospital Clínico San Carlos, Fundación para la Investigación Biomédica HCSC, Madrid, Spain
| | - J. Esteban
- CIBERINFEC-CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
- Clinical Microbiology Department, IIS-Fundacion Jimenez Diaz, UAM, Madrid, Spain
| | - M. Desco
- Unidad de Medicina y Cirugía Experimenta, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Departamento de Bioingeniería, Universidad Carlos III de Madrid, Madrid, Spain
- Unidad de Imagen Avanzada, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III. Madrid, Spain
| | - L. Cussó
- Unidad de Medicina y Cirugía Experimenta, Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain
- Unidad de Imagen Avanzada, Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain
- CIBER de Salud Mental, Instituto de Salud Carlos III. Madrid, Spain
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Moreno-Conde A, Parra-Calderón CL, Sánchez-Seda S, Escobar-Rodríguez GA, López-Otero M, Cussó L, Del-Cerro-García R, Segura-Sánchez M, Herrero-Urigüen L, Martí-Ras N, Albertí-Ibarz M, Desco M. ITEMAS ontology for healthcare technology innovation. Health Res Policy Syst 2019; 17:47. [PMID: 31046786 PMCID: PMC6498618 DOI: 10.1186/s12961-019-0453-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Accepted: 04/07/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Platform for Innovation in Medical and Health Technologies (ITEMAS) is a network of 66 healthcare centres focused on fostering innovation in medical and health technologies as an essential tool for increasing the sustainability of the Spanish healthcare system. The present research is focused on defining a formal representation that details the most relevant concepts associated with the creation and adoption of innovative medical technology in the Spanish healthcare system. METHODS The methodology applied is based on the methontology process, including peer-review identification and selection of concepts from the ITEMAS innovation indicators and innovation management system standards. This stage was followed by an iterative validation process. Concepts were then conceptualised, formalised and implemented in an ontology. RESULTS The ontology defined describes how relationships between employees, organisations, projects and ideas can be applied to generate results that are transferrable to the market, general public and scientific forums. Overall, we identified 136 concepts, 138 object properties and 30 properties in a five-level hierarchy. The ontology was tested and validated as an appropriate framework for calculating the ITEMAS innovation indicators. CONCLUSIONS The consensus concepts were expressed in the form of an ontology to be used as a single communication format between the members of the ITEMAS network. Healthcare centres can compare their innovation results and obtain a better understanding of their innovation context based on the reasoning techniques of artificial intelligence. As a result, they can benefit from advanced analytical capabilities to define the most appropriate innovation policies for each centre based on the common experience of the large number of healthcare centres involved. The results can be used to create a map of agents and knowledge to show capabilities, projects and services provided by each of the participating centres. The ontology could also be applied as an instrument to match needs with existing projects and capabilities from the community of organisations working in healthcare technology innovation.
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Affiliation(s)
- A Moreno-Conde
- Grupo de Investigación e Innovación en Informática e Ingeniería Biomédicas y Economía de la Salud, Instituto de Biomedicina de Sevilla, IBiS / Hospital Universitario Virgen del Rocío / CSIC / Universidad de Sevilla, Seville, Spain.,Grupo de Innovación Tecnológica, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Carlos Luis Parra-Calderón
- Grupo de Investigación e Innovación en Informática e Ingeniería Biomédicas y Economía de la Salud, Instituto de Biomedicina de Sevilla, IBiS / Hospital Universitario Virgen del Rocío / CSIC / Universidad de Sevilla, Seville, Spain. .,Grupo de Innovación Tecnológica, Hospital Universitario Virgen del Rocío, Seville, Spain. .,Virgen del Rocío University Hospital, Avda. Manuel Siurot, s/n, 41013, Seville, Spain.
| | - S Sánchez-Seda
- Instituto de Investigación Sanitaria Gregorio Marañón. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - G A Escobar-Rodríguez
- Grupo de Investigación e Innovación en Informática e Ingeniería Biomédicas y Economía de la Salud, Instituto de Biomedicina de Sevilla, IBiS / Hospital Universitario Virgen del Rocío / CSIC / Universidad de Sevilla, Seville, Spain.,Grupo de Innovación Tecnológica, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - M López-Otero
- Institut H. del Mar D'Investigacions Mèdiques, Barcelona, Spain
| | - L Cussó
- Instituto de Investigación Sanitaria Gregorio Marañón. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
| | | | - M Segura-Sánchez
- Ministerio de Sanidad, Servicios Sociales e Igualdad, Madrid, Spain
| | - L Herrero-Urigüen
- Instituto de Investigación Sanitaria Marqués de Valdecilla, Santander, Spain
| | - N Martí-Ras
- Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Barcelona, Spain
| | - M Albertí-Ibarz
- IDOM Consulting, Engineering, Architecture, SAU, Bilbao, Spain
| | - M Desco
- Instituto de Investigación Sanitaria Gregorio Marañón. Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Departamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, Madrid, Spain.,Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain
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