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Tanaviriyachai T, Pornsopanakorn P, Choovongkomol K, Virathepsuporn T, Piyapromdee U, Jongkittanakul S, Sudprasert W, Wiwatrojanagul S. A Comparative Factor Analysis and New Magnetic Resonance Imaging Scoring System for Differentiating Pyogenic Versus Tuberculous Spondylodiscitis. Neurospine 2024; 21:690-700. [PMID: 38955538 PMCID: PMC11224736 DOI: 10.14245/ns.2448120.060] [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: 02/01/2024] [Revised: 04/04/2024] [Accepted: 04/12/2024] [Indexed: 07/04/2024] Open
Abstract
OBJECTIVE This study aimed to compare and analyze differences in clinical and magnetic resonance imaging (MRI) findings between tuberculous spondylodiscitis (TbS) and pyogenic spondylodiscitis (PyS), and to develop and validate a simplified multiparameter MRIbased scoring system for differentiating TbS from PyS. METHODS We compared predisposing factors in 190 patients: 123 with TbS and 67 with PyS, confirmed by laboratory tests, culture, or pathology. Data encompassing patient demographics, clinical characteristics, laboratory results, and MRI findings were collected between 2015 and 2020. Data were analyzed using logistic regression methods, and selected coefficients were transformed into an MRI-based scoring system. Internal validation was performed using bootstrapping method. RESULTS Univariate analysis revealed that the significant risk factors associated with TbS included thoracic lesions, vertebral destruction > 50%, intraosseous abscess, thin-walled abscess, well-defined paravertebral abscess, subligamentous spreading, and epidural abscess. Multivariate analysis revealed that only thoracic lesions, absence of epidural phlegmon, subligamentous spreading, intraosseous abscesses, well-defined paravertebral abscesses, epidural abscesses, and absence of facet joint arthritis were independent predictive factors for TbS (all p < 0.05). These potential predictors were used to derive an MRI scoring system. Total scores ≥ 14/29 points significantly predicted the probability of TbS, with a sensitivity of 97.58%, specificity of 92.54%, and an area under the curve of 0.96 (95% confidence interval, 125.40-3,257.95). CONCLUSION This simplified MRI-based scoring system for differentiating TbS from PyS helps guide appropriate treatment when the causative organism is not identified.
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Affiliation(s)
- Terdpong Tanaviriyachai
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
| | - Patchara Pornsopanakorn
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
| | - Kongtush Choovongkomol
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
| | | | - Urawit Piyapromdee
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
| | - Sarut Jongkittanakul
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
| | - Weera Sudprasert
- Department of Orthopedic Surgery, Maharat Nakhon Ratchasima Hospital, Nakhon Ratchasima, Thailand
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Alanizi AA, Sorlin AM, Parker MFL, López-Álvarez M, Qin H, Lee SH, Blecha J, Rosenberg OS, Engel J, Ohliger MA, Flavell RR, Wilson DM. Bioorthogonal Radiolabeling of Azide-Modified Bacteria Using [ 18F]FB-sulfo-DBCO. Bioconjug Chem 2024; 35:517-527. [PMID: 38482815 PMCID: PMC11036355 DOI: 10.1021/acs.bioconjchem.4c00024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 04/18/2024]
Abstract
Purpose: This study was motivated by the need for better positron emission tomography (PET)-compatible tools to image bacterial infection. Our previous efforts have targeted bacteria-specific metabolism via assimilation of carbon-11 labeled d-amino acids into the bacterial cell wall. Since the chemical determinants of this incorporation are not fully understood, we sought a high-throughput method to label d-amino acid derived structures with fluorine-18. Our strategy employed a chemical biology approach, whereby an azide (-N3) bearing d-amino acid is incorporated into peptidoglycan muropeptides, with subsequent "click" cycloaddition with an 18F-labeled strained cyclooctyne partner. Procedures: A water-soluble, 18F-labeled and dibenzocyclooctyne (DBCO)-derived radiotracer ([18F]FB-sulfo-DBCO) was synthesized. This tracer was incubated with pathogenic bacteria treated with azide-bearing d-amino acids, and incorporated 18F was determined via gamma counting. In vitro uptake in bacteria previously treated with azide-modified d-amino acids was compared to that in cultures treated with amino acid controls. The biodistribution of [18F]FB-sulfo-DBCO was studied in a cohort of healthy mice with implications for future in vivo imaging. Results: The new strain-promoted azide-alkyne cycloaddition (SPAAC) radiotracer [18F]FB-sulfo-DBCO was synthesized with high radiochemical yield and purity via N-succinimidyl 4-[18F]fluorobenzoate ([18F]SFB). Accumulation of [18F]FB-sulfo-DBCO was significantly higher in several bacteria treated with azide-modified d-amino acids than in controls; for example, we observed 7 times greater [18F]FB-sulfo-DBCO ligation in Staphylococcus aureus cultures incubated with 3-azido-d-alanine versus those incubated with d-alanine. Conclusions: The SPAAC radiotracer [18F]FB-sulfo-DBCO was validated in vitro via metabolic labeling of azide-bearing peptidoglycan muropeptides. d-Amino acid-derived PET radiotracers may be more efficiently screened via [18F]FB-sulfo-DBCO modification.
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Affiliation(s)
- Aryn A. Alanizi
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Alexandre M. Sorlin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Matthew F. L. Parker
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Psychiatry, Renaissance School of Medicine
at Stony Brook University, Stony
Brook, New York 11794, United States
| | - Marina López-Álvarez
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Hecong Qin
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Sang Hee Lee
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Joseph Blecha
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Joanne Engel
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Radiology, Zuckerberg San Francisco General
Hospital, San Francisco, California 94110, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
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Dhodapkar MM, Patel T, Rubio DR. Imaging in spinal infections: Current status and future directions. NORTH AMERICAN SPINE SOCIETY JOURNAL 2023; 16:100275. [PMID: 37822347 PMCID: PMC10562850 DOI: 10.1016/j.xnsj.2023.100275] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/27/2023] [Accepted: 09/02/2023] [Indexed: 10/13/2023]
Abstract
Imaging plays an important role in the diagnosis of spinal infections. Early diagnosis is paramount in the treatment of spinal infections and leads to improved outcomes. This article reviews the imaging and relevant clinical details of infections of the spine: pyogenic spondylodiscitis, tuberculous spondylodiscitis, septic facet arthritis, epidural abscess, and subdural abscess. Though radiographs can reveal subtle changes with infections, advanced imaging modalities have increased sensitivity to aid in early diagnosis. Magnetic resonance imaging (MRI) is emphasized given it is generally the most sensitive and specific advanced imaging modality. However, nuclear medicine imaging and computer tomography (CT) play a role diagnosis in cases where MRI is not available or contra-indicated. Additionally, CT is also important for image-guided biopsy to guide antimicrobial treatment.
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Affiliation(s)
- Meera M. Dhodapkar
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
| | - Tamanna Patel
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
| | - Daniel R. Rubio
- Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, Connecticut
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Parker MFL, López-Álvarez M, Alanizi AA, Luu JM, Polvoy I, Sorlin AM, Qin H, Lee S, Rabbitt SJ, Pichardo-González PA, Ordonez AA, Blecha J, Rosenberg OS, Flavell RR, Engel J, Jain SK, Ohliger MA, Wilson DM. Evaluating the Performance of Pathogen-Targeted Positron Emission Tomography Radiotracers in a Rat Model of Vertebral Discitis-Osteomyelitis. J Infect Dis 2023; 228:S281-S290. [PMID: 37788505 PMCID: PMC11009497 DOI: 10.1093/infdis/jiad159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023] Open
Abstract
BACKGROUND Vertebral discitis-osteomyelitis (VDO) is a devastating infection of the spine that is challenging to distinguish from noninfectious mimics using computed tomography and magnetic resonance imaging. We and others have developed novel metabolism-targeted positron emission tomography (PET) radiotracers for detecting living Staphylococcus aureus and other bacteria in vivo, but their head-to-head performance in a well-validated VDO animal model has not been reported. METHODS We compared the performance of several PET radiotracers in a rat model of VDO. [11C]PABA and [18F]FDS were assessed for their ability to distinguish S aureus, the most common non-tuberculous pathogen VDO, from Escherichia coli. RESULTS In the rat S aureus VDO model, [11C]PABA could detect as few as 103 bacteria and exhibited the highest signal-to-background ratio, with a 20-fold increased signal in VDO compared to uninfected tissues. In a proof-of-concept experiment, detection of bacterial infection and discrimination between S aureus and E coli was possible using a combination of [11C]PABA and [18F]FDS. CONCLUSIONS Our work reveals that several bacteria-targeted PET radiotracers had sufficient signal to background in a rat model of S aureus VDO to be potentially clinically useful. [11C]PABA was the most promising tracer investigated and warrants further investigation in human VDO.
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Affiliation(s)
- Matthew F L Parker
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, New York
| | - Marina López-Álvarez
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Aryn A Alanizi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Justin M Luu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Ilona Polvoy
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Alexandre M Sorlin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Hecong Qin
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Sanghee Lee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Sarah J Rabbitt
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | | | - Alvaro A Ordonez
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Joseph Blecha
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | | | - Robert R Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Joanne Engel
- Department of Medicine, University of California, San Francisco
- UCSF Department of Microbiology and Immunology, San Francisco, California
| | - Sanjay K Jain
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael A Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California
| | - David M Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
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Creze M, Ghaouche J, Missenard G, Lazure T, Cluzel G, Devilder M, Briand S, Soubeyrand M, Meyrignac O, Carlier RY, Court C, Bouthors C. Understanding a mass in the paraspinal region: an anatomical approach. Insights Imaging 2023; 14:128. [PMID: 37466751 DOI: 10.1186/s13244-023-01462-1] [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: 05/09/2023] [Accepted: 06/10/2023] [Indexed: 07/20/2023] Open
Abstract
The paraspinal region encompasses all tissues around the spine. The regional anatomy is complex and includes the paraspinal muscles, spinal nerves, sympathetic chains, Batson's venous plexus and a rich arterial network. A wide variety of pathologies can occur in the paraspinal region, originating either from paraspinal soft tissues or the vertebral column. The most common paraspinal benign neoplasms include lipomas, fibroblastic tumours and benign peripheral nerve sheath tumours. Tumour-like masses such as haematomas, extramedullary haematopoiesis or abscesses should be considered in patients with suggestive medical histories. Malignant neoplasms are less frequent than benign processes and include liposarcomas and undifferentiated sarcomas. Secondary and primary spinal tumours may present as midline expansile soft tissue masses invading the adjacent paraspinal region. Knowledge of the anatomy of the paraspinal region is of major importance since it allows understanding of the complex locoregional tumour spread that can occur via many adipose corridors, haematogenous pathways and direct contact. Paraspinal tumours can extend into other anatomical regions, such as the retroperitoneum, pleura, posterior mediastinum, intercostal space or extradural neural axis compartment. Imaging plays a crucial role in formulating a hypothesis regarding the aetiology of the mass and tumour staging, which informs preoperative planning. Understanding the complex relationship between the different elements and the imaging features of common paraspinal masses is fundamental to achieving a correct diagnosis and adequate patient management. This review gives an overview of the anatomy of the paraspinal region and describes imaging features of the main tumours and tumour-like lesions that occur in the region.
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Affiliation(s)
- Maud Creze
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France.
- BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, 78 rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.
| | - Jessica Ghaouche
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Gilles Missenard
- Department of Orthopedic Surgery, Assistance Publique des Hôpitaux de Paris, GH Université Paris-Saclay, DMU de Chirurgie Traumatologie Orthopédique-Chirurgie Plastique- Reconstruction, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Thierry Lazure
- Department of Pathology, Assistance Publique des Hôpitaux de Paris, GH Université Paris-Saclay, DMU Smart Imaging, Bicêtre hospital, Le Kremlin Bicêtre, France
| | - Guillaume Cluzel
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Matthieu Devilder
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Sylvain Briand
- Department of Orthopedic Surgery, Assistance Publique des Hôpitaux de Paris, GH Université Paris-Saclay, DMU de Chirurgie Traumatologie Orthopédique-Chirurgie Plastique- Reconstruction, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | | | - Olivier Meyrignac
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
- BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, 78 rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France
| | - Robert-Yves Carlier
- Department of Radiology, Assistance Publique des Hôpitaux de Paris, GH Université Paris- Saclay, DMU Smart Imaging, Garches Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Charles Court
- Department of Orthopedic Surgery, Assistance Publique des Hôpitaux de Paris, GH Université Paris-Saclay, DMU de Chirurgie Traumatologie Orthopédique-Chirurgie Plastique- Reconstruction, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
| | - Charlie Bouthors
- Department of Orthopedic Surgery, Assistance Publique des Hôpitaux de Paris, GH Université Paris-Saclay, DMU de Chirurgie Traumatologie Orthopédique-Chirurgie Plastique- Reconstruction, Bicêtre Teaching Hospital, Le Kremlin-Bicêtre, France
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Treffy RW, Laing B, Eraky AM, Shabani S. Cervical spine spondylodiscitis: Review of literature on current treatment strategies. Heliyon 2023; 9:e17875. [PMID: 37483708 PMCID: PMC10359881 DOI: 10.1016/j.heliyon.2023.e17875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/15/2023] [Accepted: 06/29/2023] [Indexed: 07/25/2023] Open
Abstract
Infections of the spine are an ever-increasing health concern requiring an often complex and prolonged treatment that can lead to significant morbidity. Of particular interest is the cervical spine where there is an increase rate of post-infectious deformity, secondary neurological deficits and substantially higher rates of associated morbidity and mortality than the thoracic or lumbar spine. In this review, we explore the diagnosis and treatment of spondylodiscitis with particular focus on the cervical spine.
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Affiliation(s)
- Randall W. Treffy
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - Brandon Laing
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - Akram M. Eraky
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA
| | - Saman Shabani
- Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA
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Abstract
This article is devoted to the MR imaging evaluation of spine emergencies, defined as spinal pathologic conditions that pose an immediate risk of significant morbidity or mortality to the patient if not diagnosed and treated in a timely manner. MR imaging plays a central role in the timely diagnosis of spine emergencies. A summary of MR imaging indications and MR imaging protocols tailored for a variety of spinal emergencies will be presented followed by a review of key imaging findings for the most-encountered emergent spine pathologic conditions. Pathologic conditions will be broadly grouped into traumatic and atraumatic pathologic conditions. For traumatic injuries, a practical and algorithmic diagnostic approach based on the AO Spine injury classification system will be presented focused on subaxial spine trauma. Atraumatic spinal emergencies will be dichotomized into compressive and noncompressive subtypes. The location of external compressive disease with respect to the thecal sac is fundamental to establishing a differential diagnosis for compressive emergencies, whereas specific patterns of spinal cord involvement on MR imaging will guide the discussion of inflammatory and noninflammatory causes of noncompressive myelopathy.
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Chianca V, Chalian M, Harder D, Del Grande F. Imaging of Spine Infections. Semin Musculoskelet Radiol 2022; 26:387-395. [PMID: 36103882 DOI: 10.1055/s-0042-1749619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
The incidence of spondylodiskitis has increased over the last 20 years worldwide, especially in the immunodepressed population, and it remains a complex pathology, both in terms of diagnosis and treatment. Because clinical symptoms are often nonspecific and blood culture negative, imaging plays an essential role in the diagnostic process. Magnetic resonance imaging, in particular, is the gold standard technique because it can show essential findings such as vertebral bone marrow, disk signal alteration, a paravertebral or epidural abscess, and, in the advanced stage of disease, fusion or collapse of the vertebral elements. However, many noninfectious spine diseases can simulate spinal infection. In this article, we present imaging features of specific infectious spine diseases that help radiologists make the distinction between infectious and noninfectious processes.
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Affiliation(s)
- Vito Chianca
- Clinica di Radiologia EOC IIMSI, Lugano, Switzerland.,Ospedale Evangelico Betania, Naples, Italy
| | - Majid Chalian
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, Washington
| | - Dorothee Harder
- Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland
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Noriega-Álvarez E, Pena Pardo FJ, Jiménez Londoño GA, García Vicente A. Gamma camera imaging of musculoskeletal infections. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00215-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Shroyer SR, Davis WT, April MD, Long B, Boys G, Mehta SG, Mercaldo SF. A Clinical Prediction Tool for MRI in Emergency Department Patients with Spinal Infection. West J Emerg Med 2021; 22:1156-1166. [PMID: 34546893 PMCID: PMC8463051 DOI: 10.5811/westjem.2021.5.52007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/15/2021] [Indexed: 11/11/2022] Open
Abstract
Introduction Patients with pyogenic spinal Infection (PSI) are often not diagnosed at their initial presentation, and diagnostic delay is associated with increased morbidity and medical-legal risk. We derived a decision tool to estimate the risk of spinal infection and inform magnetic resonance imaging (MRI) decisions. Methods We conducted a two-part prospective observational cohort study that collected variables from spine pain patients over a six-year derivation phase. We fit a multivariable regression model with logistic coefficients rounded to the nearest integer and used them for variable weighting in the final risk score. This score, SIRCH (spine infection risk calculation heuristic), uses four clinical variables to predict PSI. We calculated the statistical performance, MRI utilization, and model fit in the derivation phase. In the second phase we used the same protocol but enrolled only confirmed cases of spinal infection to assess the sensitivity of our prediction tool. Results In the derivation phase, we evaluated 134 non-PSI and 40 PSI patients; median age in years was 55.5 (interquartile range [IQR] 38–70 and 51.5 (42–59), respectively. We identified four predictors for our risk score: historical risk factors; fever; progressive neurological deficit; and C-reactive protein (CRP) ≥ 50 milligrams per liter (mg/L). At a threshold SIRCH score of ≥ 3, the predictive model’s sensitivity, specificity, and positive predictive value were, respectively, as follows: 100% (95% confidence interval [CI], 100–100%); 56% (95% CI, 48–64%), and 40% (95% CI, 36–46%). The area under the receiver operator curve was 0.877 (95% CI, 0.829–0.925). The SIRCH score at a threshold of ≥ 3 would prompt significantly fewer MRIs compared to using an elevated CRP (only 99/174 MRIs compared to 144/174 MRIs, P <0.001). In the second phase (49 patient disease-only cohort), the sensitivities of the SIRCH score and CRP use (laboratory standard cut-off 3.5 mg/L) were 92% (95% CI, 84–98%), and 98% (95% CI, 94–100%), respectively. Conclusion The SIRCH score provides a sensitive estimate of spinal infection risk and prompts fewer MRIs than elevated CRP (cut-off 3.5 mg/L) or clinician suspicion.
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Affiliation(s)
- Steven R Shroyer
- Methodist Hospital System, Greater San Antonio Emergency Physicians, San Antonio, Texas
| | - William T Davis
- Uniformed Services University of the Health Sciences, Department of Military and Emergency Medicine, Bethesda, Maryland
| | - Michael D April
- Uniformed Services University of the Health Sciences, Department of Military and Emergency Medicine, Bethesda, Maryland.,Massachusetts General Hospital, Department of Radiology, Boston, Massachusetts
| | - Brit Long
- Uniformed Services University of the Health Sciences, Department of Military and Emergency Medicine, Bethesda, Maryland
| | - Greg Boys
- Methodist Hospital System, Department of Radiology, San Antonio, Texas
| | - Sumeru G Mehta
- Methodist Hospital System, Greater San Antonio Emergency Physicians, San Antonio, Texas
| | - Sarah F Mercaldo
- Massachusetts General Hospital, Department of Radiology, Boston, Massachusetts
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Saleh ES, Vasileff CC, Omari AM, Khalil JG. The Diagnosis and Management of Pediatric Spine Infections. Cureus 2021; 13:e16748. [PMID: 34345570 PMCID: PMC8323075 DOI: 10.7759/cureus.16748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2021] [Indexed: 12/29/2022] Open
Abstract
The management of pediatric spine infections requires a multidisciplinary approach that includes orthopedic surgeons, infectious disease specialists, interventional radiologists, and others. The prevalence of the disease has increased in frequency, virulence, and degree of soft tissue involvement over the past several years; there has also been a resurgence of some types of infections, such as tuberculosis, fungal, and viral pathogens. The diagnosis can often be reached with a detailed history, physical examination, laboratory tests, and imaging studies. Pathologies mimicking infection require a more invasive approach for diagnosis, including core or open biopsy. The treatment of discitis, spondylodiscitis, vertebral osteomyelitis, spinal epidural, and intramedullary abscesses in children is at times complex, and although many infections can be treated non-surgically with antibiotic therapy, some more extensive infections require surgical management. A timely diagnosis is important as it allows the initiation of the appropriate antimicrobial therapy and would decrease the complexity of the subsequent surgical intervention.
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Affiliation(s)
- Ehab S Saleh
- Department of Orthopedics, Oakland University William Beaumont School of Medicine, Rochester, USA
| | - Christopher C Vasileff
- Department of Orthopedics, Oakland University William Beaumont School of Medicine, Rochester, USA
| | - Abdullah M Omari
- Department of Orthopedics, William Beaumont Hospital, Taylor, Taylor, USA
| | - Jad G Khalil
- Department of Orthopedics, Oakland University William Beaumont School of Medicine, Rochester, USA
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12
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Parker MFL, Flavell RR, Luu JM, Rosenberg OS, Ohliger MA, Wilson DM. Small Molecule Sensors Targeting the Bacterial Cell Wall. ACS Infect Dis 2020; 6:1587-1598. [PMID: 32433879 DOI: 10.1021/acsinfecdis.9b00515] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
This review highlights recent efforts to detect bacteria using engineered small molecules that are processed and incorporated similarly to their natural counterparts. There are both scientific and clinical justifications for these endeavors. The use of detectable, cell-wall targeted chemical probes has elucidated microbial behavior, with several fluorescent labeling methods in widespread laboratory use. Furthermore, many existing efforts including ours, focus on developing new imaging tools to study infection in clinical practice. The bacterial cell wall, a remarkably rich and complex structure, is an outstanding target for bacteria-specific detection. Several cell wall components are found in bacteria but not mammals, especially peptidoglycan, lipopolysaccharide, and teichoic acids. As this review highlights, the development of laboratory tools for fluorescence microscopy has vastly outstripped related positron emission tomography (PET) or single photon emission computed tomography (SPECT) radiotracer development. However, there is great synergy between these chemical strategies, which both employ mimicry of endogenous substrates to incorporate detectable structures. As the field of bacteria-specific imaging grows, it will be important to understand the mechanisms involved in microbial incorporation of radionuclides. Additionally, we will highlight the clinical challenges motivating this imaging effort.
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Affiliation(s)
- Matthew F. L. Parker
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Robert R. Flavell
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Justin M. Luu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department of Medicine, University of California, San Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, California 94110, United States
| | - David M. Wilson
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California 94158, United States
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Parker ML, Luu JM, Schulte B, Huynh TL, Stewart MN, Sriram R, Yu MA, Jivan S, Turnbaugh PJ, Flavell RR, Rosenberg OS, Ohliger MA, Wilson DM. Sensing Living Bacteria in Vivo Using d-Alanine-Derived 11C Radiotracers. ACS CENTRAL SCIENCE 2020; 6:155-165. [PMID: 32123733 PMCID: PMC7047270 DOI: 10.1021/acscentsci.9b00743] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Indexed: 06/05/2023]
Abstract
Incorporation of d-amino acids into peptidoglycan is a unique metabolic feature of bacteria. Since d-amino acids are not metabolic substrates in most mammalian tissues, this difference can be exploited to detect living bacteria in vivo. Given the prevalence of d-alanine in peptidoglycan muropeptides, as well as its role in several antibiotic mechanisms, we targeted this amino acid for positron emission tomography (PET) radiotracer development. d-[3-11C]Alanine and the dipeptide d-[3-11C]alanyl-d-alanine were synthesized via asymmetric alkylation of glycine-derived Schiff-base precursors with [11C]methyl iodide in the presence of a cinchonidinium phase-transfer catalyst. In cell experiments, both tracers showed accumulation by a wide variety of both Gram-positive and Gram-negative pathogens including Staphylococcus aureus and Pseudomonas aeruginosa. In a mouse model of acute bacterial myositis, d-[3-11C]alanine was accumulated by living microorganisms but was not taken up in areas of sterile inflammation. When compared to existing clinical nuclear imaging tools, specifically 2-deoxy-2-[18F]fluoro-d-glucose and a gallium citrate radiotracer, d-alanine showed more bacteria-specific uptake. Decreased d-[3-11C]alanine uptake was also observed in antibiotic-sensitive microbes after antimicrobial therapy, when compared to that in resistant organisms. Finally, prominent uptake of d-[3-11C]alanine uptake was seen in rodent models of discitis-osteomyelitis and P. aeruginosa pneumonia. These data provide strong justification for clinical translation of d-[3-11C]alanine to address a number of important human infections.
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Affiliation(s)
- Matthew
F. L. Parker
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Justin M. Luu
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Brailee Schulte
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Tony L. Huynh
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Megan N. Stewart
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Renuka Sriram
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Michelle A. Yu
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Salma Jivan
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Peter J. Turnbaugh
- Department
of Microbiology and Immunology, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Robert R. Flavell
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
| | - Oren S. Rosenberg
- Department
of Medicine, University of California, San
Francisco, San Francisco, California 94158, United States
| | - Michael A. Ohliger
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
- Department
of Radiology, Zuckerberg San Francisco General
Hospital, San Francisco, California 94110, United States
| | - David M. Wilson
- Department
of Radiology and Biomedical Imaging, University
of California, San Francisco, San Francisco, California 94158, United States
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Treglia G, Pascale M, Lazzeri E, van der Bruggen W, Delgado Bolton RC, Glaudemans AWJM. Diagnostic performance of 18F-FDG PET/CT in patients with spinal infection: a systematic review and a bivariate meta-analysis. Eur J Nucl Med Mol Imaging 2019; 47:1287-1301. [PMID: 31729539 DOI: 10.1007/s00259-019-04571-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 10/10/2019] [Indexed: 12/18/2022]
Abstract
PURPOSE Diagnosis of spinal infection (SI) is challenging and usually requires multiple tests. We aimed to perform a systematic review and a bivariate meta-analysis on the diagnostic role of 18F-FDG PET/CT in patients with SI. METHODS A comprehensive literature search of studies published through February 2019 in PubMed/MEDLINE and Cochrane library databases was carried out. Studies investigating the diagnostic performance of 18F-FDG PET/CT in patients with SI were eligible for inclusion in the qualitative analysis. For the quantitative analysis, pooled sensitivity, specificity, positive and negative likelihood ratio (LR+ and LR-) and diagnostic odds ratio (DOR) of 18F-FDG PET/CT in patients with suspected SI were calculated on a per examination-based analysis. Pooled data were presented with 95% confidence intervals (95% CI). RESULTS Twenty-six articles (833 patients) using 18F-FDG PET/CT were eligible for the qualitative analysis. Twelve studies (396 patients) were selected for the meta-analysis. Overall, 18F-FDG PET/CT demonstrated a very good diagnostic performance in patients with SI and several studies underlined the value of 18F-FDG PET/CT in assessing the response to treatment. The bivariate meta-analysis on 18F-FDG PET/CT in patients with suspected SI provided the following results: sensitivity 94.8% (95% CI 88.9-97.6%) and specificity 91.4% (95% CI 78.2-96.9%). The pooled LR+, LR- and DOR were 4.7 (95% CI 2.9-7.7), 0.11 (95% CI 0.07-0.16) and 63.4 (95% CI 28.9-139), respectively. No significant heterogeneity or publication bias was found. CONCLUSION 18F-FDG PET/CT demonstrated a very good diagnostic performance in patients with SI and can be used in patients in which MRI cannot be performed or is non-diagnostic or inconclusive. Several studies underlined the value of 18F-FDG PET/CT in assessing the response to treatment in patients with SI. Overall, larger multicentre and prospective studies and cost-effectiveness analyses are warranted.
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Affiliation(s)
- Giorgio Treglia
- Clinic of Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona and Lugano, Switzerland.
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
- Health Technology Assessment Unit, Academic Education, Research and Innovation Area, Ente Ospedaliero Cantonale, Via Lugano 4F, CH-6500, Bellinzona, Switzerland.
| | - Mariarosa Pascale
- Clinical Trial Unit, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Elena Lazzeri
- Regional Center of Nuclear Medicine, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - Wouter van der Bruggen
- Department of Radiology and Nuclear Medicine, Slingeland Hospital, Doetinchem, The Netherlands
| | - Roberto C Delgado Bolton
- Department of Diagnostic Imaging (Radiology) and Nuclear Medicine, San Pedro University Hospital and Centre for Biomedical Research of La Rioja (CIBIR), Logroño, La Rioja, Spain
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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