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Lauri C, Noriega-Álvarez E, Chakravartty RM, Gheysens O, Glaudemans AWJM, Slart RHJA, Kwee TC, Lecouvet F, Panagiotidis E, Zhang-Yin J, Martinez JLL, Lipsky BA, Uccioli L, Signore A. Diagnostic imaging of the diabetic foot: an EANM evidence-based guidance. Eur J Nucl Med Mol Imaging 2024; 51:2229-2246. [PMID: 38532027 PMCID: PMC11178575 DOI: 10.1007/s00259-024-06693-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 03/14/2024] [Indexed: 03/28/2024]
Abstract
PURPOSE Consensus on the choice of the most accurate imaging strategy in diabetic foot infective and non-infective complications is still lacking. This document provides evidence-based recommendations, aiming at defining which imaging modality should be preferred in different clinical settings. METHODS This working group includes 8 nuclear medicine physicians appointed by the European Association of Nuclear Medicine (EANM), 3 radiologists and 3 clinicians (one diabetologist, one podiatrist and one infectious diseases specialist) selected for their expertise in diabetic foot. The latter members formulated some clinical questions that are not completely covered by current guidelines. These questions were converted into statements and addressed through a systematic analysis of available literature by using the PICO (Population/Problem-Intervention/Indicator-Comparator-Outcome) strategy. Each consensus statement was scored for level of evidence and for recommendation grade, according to the Oxford Centre for Evidence-Based Medicine (OCEBM) criteria. RESULTS Nine clinical questions were formulated by clinicians and used to provide 7 evidence-based recommendations: (1) A patient with a positive probe-to-bone test, positive plain X-rays and elevated ESR should be treated for presumptive osteomyelitis (OM). (2) Advanced imaging with MRI and WBC scintigraphy, or [18F]FDG PET/CT, should be considered when it is needed to better evaluate the location, extent or severity of the infection, in order to plan more tailored treatment. (3) In a patient with suspected OM, positive PTB test but negative plain X-rays, advanced imaging with MRI or WBC scintigraphy + SPECT/CT, or with [18F]FDG PET/CT, is needed to accurately assess the extent of the infection. (4) There are no evidence-based data to definitively prefer one imaging modality over the others for detecting OM or STI in fore- mid- and hind-foot. MRI is generally the first advanced imaging modality to be performed. In case of equivocal results, radiolabelled WBC imaging or [18F]FDG PET/CT should be used to detect OM or STI. (5) MRI is the method of choice for diagnosing or excluding Charcot neuro-osteoarthropathy; [18F]FDG PET/CT can be used as an alternative. (6) If assessing whether a patient with a Charcot foot has a superimposed infection, however, WBC scintigraphy may be more accurate than [18F]FDG PET/CT in differentiating OM from Charcot arthropathy. (7) Whenever possible, microbiological or histological assessment should be performed to confirm the diagnosis. (8) Consider appealing to an additional imaging modality in a patient with persisting clinical suspicion of infection, but negative imaging. CONCLUSION These practical recommendations highlight, and should assist clinicians in understanding, the role of imaging in the diagnostic workup of diabetic foot complications.
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Affiliation(s)
- Chiara Lauri
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Edel Noriega-Álvarez
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Department of Nuclear Medicine and Molecular Imaging, University Hospital of Guadalajara, Guadalajara, Spain
| | - Riddhika M Chakravartty
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Radiology Department, Shrewsbury and Telford Hospitals NHS Trust, Shrewsbury, UK
| | - Olivier Gheysens
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Department of Nuclear Medicine and Molecular imaging, University Hospitals Leuven, Leuven, Belgium
| | - Andor W J M Glaudemans
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria.
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
| | - Riemer H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
- Department of Biomedical Photonic Imaging, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Frédéric Lecouvet
- Department of Radiology, Institut de Recherche Expérimentale et Clinique Cliniques, Universitaires Saint-Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Emmanouil Panagiotidis
- Bone & Joint Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Nuclear Medicine Department/PET CT, Theagenio Cancer Center, Thessaloniki, Greece
| | - Jules Zhang-Yin
- Bone & Joint Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Department of Nuclear Medicine, Clinique Sud Luxembourg, Vivalia, Arlon, Belgium
| | | | - Benjamin A Lipsky
- Emeritus Professor of Medicine, University of Washington, Seattle, USA
- Green Templeton College, University of Oxford, Oxford, UK
| | - Luigi Uccioli
- Diabetes and Endocrinology Section, CTO Hospital of Rome, Rome, Italy
- Department of Biomedicine and prevention, Tor Vergata University, Rome, Italy
| | - Alberto Signore
- Inflammation and Infection Committee of the European Association of Nuclear Medicine (EANM), Vienna, Austria
- Nuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
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Calabria FF, Guadagnino G, Cimini A, Leporace M. PET/CT Imaging of Infectious Diseases: Overview of Novel Radiopharmaceuticals. Diagnostics (Basel) 2024; 14:1043. [PMID: 38786341 PMCID: PMC11120316 DOI: 10.3390/diagnostics14101043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
Infectious diseases represent one of the most common causes of hospital admission worldwide. The diagnostic work-up requires a complex clinical approach, including laboratory data, CT and MRI, other imaging tools, and microbiologic cultures. PET/CT with 18F-FDG can support the clinical diagnosis, allowing visualization of increased glucose metabolism in activated macrophages and monocytes; this tracer presents limits in differentiating between aseptic inflammation and infection. Novel PET radiopharmaceuticals have been developed to overcome these limits; 11C/18F-labeled bacterial agents, several 68Ga-labeled molecules, and white blood cells labeled with 18F-FDG are emerging PET tracers under study, showing interesting preliminary results. The best choice among these tracers can be unclear. This overview aims to discuss the most common diagnostic applications of 18F-FDG PET/CT in infectious diseases and, as a counterpoint, to describe and debate the advantages and peculiarities of the latest PET radiopharmaceuticals in the field of infectious diseases, which will probably improve the diagnosis and prognostic stratification of patients with active infectious diseases.
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Affiliation(s)
- Ferdinando F. Calabria
- Department of Nuclear Medicine and Theragnostics, “Mariano Santo” Hospital, 87100 Cosenza, Italy;
| | - Giuliana Guadagnino
- Department of Infectious and Tropical Diseases, St. Annunziata Hospital, 87100 Cosenza, Italy
| | - Andrea Cimini
- Nuclear Medicine Unit, St Salvatore Hospital, 67100 L’Aquila, Italy;
| | - Mario Leporace
- Department of Nuclear Medicine and Theragnostics, “Mariano Santo” Hospital, 87100 Cosenza, Italy;
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Yang L, Zhou Z. Effects of nutrition intervention on the rehabilitation level and quality of life of patients with diabetes foot: Image observation based on image recognition technology. Prev Med 2023; 173:107578. [PMID: 37343728 DOI: 10.1016/j.ypmed.2023.107578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/03/2023] [Accepted: 06/17/2023] [Indexed: 06/23/2023]
Abstract
Today, the application of CT scanning technology is still limited. Therefore, an image observation method based on image recognition technology is proposed in this paper to study the impact of nutritional intervention on the rehabilitation level and quality of life of diabetic foot patients. Firstly, in view of the noise problems existing in CT images, this paper adopts the denoising technology, in which Gaussian noise and salt and pepper noise denoising algorithms are mainly used. Noise interference in the image can be removed by denoising processing, and the clarity and quality of the image can be improved. Subsequently, in order to improve the recognition and classification accuracy of the image, data enhancement and data standardization techniques are adopted to normalize the pixel values of the image, so as to make different images comparable, so as to improve the stability and classification accuracy of the model. Finally, CNN model is used to study image classification. The effects of nutritional intervention on the rehabilitation level and quality of life of patients with diabetic foot were investigated by setting up a comparative experiment. The results showed that nutrition intervention nursing can effectively improve the rehabilitation level of diabetic foot patients, improve the quality of life, improve nursing satisfaction.
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Affiliation(s)
- Lina Yang
- Department of Plastic and Burn, Hainan Western Central Hospital, Danzhou 571700, China
| | - Zhicheng Zhou
- Department of Clinical Nutrition, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, Guangdong Province, China.
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