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Co CM, Mulgaonkar A, Zhou N, Nguyen T, Harris S, Sherwood A, Ea V, Rubitschung K, Castellino LM, Öz OK, Sun X, Tang L. d-[5- 11C]-Glutamine Positron Emission Tomography Imaging for Diagnosis and Therapeutic Monitoring of Orthopedic Implant Infections. ACS Infect Dis 2025; 11:144-154. [PMID: 39410659 PMCID: PMC12002399 DOI: 10.1021/acsinfecdis.4c00487] [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: 01/11/2025]
Abstract
Orthopedic implant infections (OIIs) present diagnostic and therapeutic challenges, owing to the lack of methods to distinguish between active infection and sterile inflammation. To address this unmet need, d-amino-acid-based radiotracers with unique metabolic profiles in microorganisms have emerged as a novel class of infection-specific imaging agents. Given the pivotal role of d-glutamine in bacterial biofilm formation and virulence, herein, we explored the potential of positron emission tomography (PET) imaging with d-[5-11C]-Glutamine (d-[5-11C]-Gln) for early detection and treatment monitoring of OIIs. In vitro studies confirmed an active uptake of d-[5-11C]-Gln by Staphylococcus aureus (S. aureus) biofilm commonly associated with OIIs. In vivo evaluations included PET imaging comparisons with d-[5-11C]-Gln vs l-[5-11C]-Gln or 2-deoxy-2-[18F]-fluoroglucose ([18F]-FDG) in a rat OII model with tibial implantation of sterile or S. aureus-colonized stainless-steel screws before and after treatment. These studies demonstrated that the uptake of d-[5-11C]-Gln was significantly higher in the infected screws than that in sterile screws (∼3.4-fold, p = 0.008), which displayed significantly higher infection-to-background muscle uptake ratios (∼2-fold, p = 0.011) with d-[5-11C]-Gln as compared to l-[5-11C]-Gln. Following a 3 week vancomycin treatment, imaging with d-[5-11C]-Gln showed a significant reduction in uptake at the infected sites (∼3-fold, p = 0.0008). Further regression analyses revealed a superior correlation of residual infection-associated radiotracer uptake with the postimaging ex vivo bacterial counts for d-[5-11C]-Gln (k = 0.473, R2 = 0.796) vs [18F]-FDG (k = 0.212, R2 = 0.434), suggesting that d-[5-11C]-Gln PET had higher sensitivity for detecting residual bacterial burden than [18F]-FDG PET. Our results demonstrate the translational potential of d-[5-11C]-Gln PET imaging for noninvasive detection and treatment monitoring of OIIs.
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Affiliation(s)
- Cynthia M Co
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Aditi Mulgaonkar
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
| | - Ning Zhou
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
| | - Tam Nguyen
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Shelby Harris
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
| | - Amber Sherwood
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
| | - Vicki Ea
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - Katie Rubitschung
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
| | - Laila M Castellino
- Division of Infectious Diseases and Geographic Medicine, Department of Internal Medicine, UTSW, Dallas, TX 75390, USA
| | - Orhan K Öz
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
- Center for Mineral Metabolism and Clinical Research, UTSW, Dallas, TX 75390, USA
| | - Xiankai Sun
- Department of Radiology, University of Texas Southwestern Medical Center (UTSW), Dallas, TX 75390, USA
- Advanced Imaging Research Center, UTSW, Dallas, TX 75390, USA
| | - Liping Tang
- Department of Bioengineering, University of Texas at Arlington, Arlington, TX 76019, USA
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Li C, Nie L, Sun Z, Ding X, Luo Q, Shen C. 3DFRINet: A Framework for the Detection and Diagnosis of Fracture Related Infection in Low Extremities Based on 18F-FDG PET/CT 3D Images. Comput Med Imaging Graph 2024; 115:102394. [PMID: 38714019 DOI: 10.1016/j.compmedimag.2024.102394] [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: 11/05/2023] [Revised: 04/11/2024] [Accepted: 04/28/2024] [Indexed: 05/09/2024]
Abstract
Fracture related infection (FRI) is one of the most devastating complications after fracture surgery in the lower extremities, which can lead to extremely high morbidity and medical costs. Therefore, early comprehensive evaluation and accurate diagnosis of patients are critical for appropriate treatment, prevention of complications, and good prognosis. 18Fluoro-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) is one of the most commonly used medical imaging modalities for diagnosing FRI. With the development of deep learning, more neural networks have been proposed and become powerful computer-aided diagnosis tools in medical imaging. Therefore, a fully automated two-stage framework for FRI detection and diagnosis, 3DFRINet (Three Dimension FRI Network), is proposed for 18F-FDG PET/CT 3D imaging. The first stage can effectively extract and fuse the features of both modalities to accurately locate the lesion by the dual-branch design and attention module. The second stage reduces the dimensionality of the image by using the maximum intensity projection, which retains the effective features while reducing the computational effort and achieving excellent diagnostic performance. The diagnostic performance of lesions reached 91.55% accuracy, 0.9331 AUC, and 0.9250 F1 score. 3DFRINet has an advantage over six nuclear medicine experts in each classification metric. The statistical analysis shows that 3DFRINet is equivalent or superior to the primary nuclear medicine physicians and comparable to the senior nuclear medicine physicians. In conclusion, this study first proposed a method based on 18F-FDG PET/CT three-dimensional imaging for FRI location and diagnosis. This method shows superior lesion detection rate and diagnostic efficiency and therefore has good prospects for clinical application.
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Affiliation(s)
- Chengfan Li
- School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China
| | - Liangbing Nie
- School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.
| | - Zhenkui Sun
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China; Bone nonunion & bone infection MDT, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Xuehai Ding
- School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.
| | - Quanyong Luo
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China; Bone nonunion & bone infection MDT, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
| | - Chentian Shen
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China; Bone nonunion & bone infection MDT, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
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3
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Polyak A, Képes Z, Trencsényi G. Implant Imaging: Perspectives of Nuclear Imaging in Implant, Biomaterial, and Stem Cell Research. Bioengineering (Basel) 2023; 10:bioengineering10050521. [PMID: 37237591 DOI: 10.3390/bioengineering10050521] [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: 03/12/2023] [Revised: 04/17/2023] [Accepted: 04/23/2023] [Indexed: 05/28/2023] Open
Abstract
Until now, very few efforts have been made to specifically trace, monitor, and visualize implantations, artificial organs, and bioengineered scaffolds for tissue engineering in vivo. While mainly X-Ray, CT, and MRI methods have been used for this purpose, the applications of more sensitive, quantitative, specific, radiotracer-based nuclear imaging techniques remain a challenge. As the need for biomaterials increases, so does the need for research tools to evaluate host responses. PET (positron emission tomography) and SPECT (single photon emission computer tomography) techniques are promising tools for the clinical translation of such regenerative medicine and tissue engineering efforts. These tracer-based methods offer unique and inevitable support, providing specific, quantitative, visual, non-invasive feedback on implanted biomaterials, devices, or transplanted cells. PET and SPECT can improve and accelerate these studies through biocompatibility, inertivity, and immune-response evaluations over long investigational periods at high sensitivities with low limits of detection. The wide range of radiopharmaceuticals, the newly developed specific bacteria, and the inflammation of specific or fibrosis-specific tracers as well as labeled individual nanomaterials can represent new, valuable tools for implant research. This review aims to summarize the opportunities of nuclear-imaging-supported implant research, including bone, fibrosis, bacteria, nanoparticle, and cell imaging, as well as the latest cutting-edge pretargeting methods.
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Affiliation(s)
- Andras Polyak
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei St. 98, H-4032 Debrecen, Hungary
| | - Zita Képes
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei St. 98, H-4032 Debrecen, Hungary
| | - György Trencsényi
- Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Nagyerdei St. 98, H-4032 Debrecen, Hungary
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Hirano M, Muto Y, Kuroda M, Fujiwara Y, Sasaki T, Kuroda K, Kamizaki R, Imajoh S, Tanabe Y, Al-Hammad WE, Nakamitsu Y, Shimizu Y, Sugimoto K, Oita M, Sugianto I, Bamgbose BO. Quantitative evaluation of the reduction of distortion and metallic artifacts in magnetic resonance images using the multiacquisition variable‑resonance image combination selective sequence. Exp Ther Med 2023; 25:109. [PMID: 36793326 PMCID: PMC9922940 DOI: 10.3892/etm.2023.11808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/04/2023] [Indexed: 01/26/2023] Open
Abstract
Magnetic resonance imaging (MRI) is superior to computed tomography (CT) in determining changes in tissue structure, such as those observed following inflammation and infection. However, when metal implants or other metal objects are present, MRI exhibits more distortion and artifacts compared with CT, which hinders the accurate measurement of the implants. A limited number of reports have examined whether the novel MRI sequence, multiacquisition variable-resonance image combination selective (MAVRIC SL), can accurately measure metal implants without distortion. Therefore, the present study aimed to demonstrate whether MAVRIC SL could accurately measure metal implants without distortion and whether the area around the metal implants could be well delineated without artifacts. An agar phantom containing a titanium alloy lumbar implant was used for the present study and was imaged using a 3.0 T MRI machine. A total of three imaging sequences, namely MAVRIC SL, CUBE and magnetic image compilation (MAGiC), were applied and the results were compared. Distortion was evaluated by measuring the screw diameter and distance between the screws multiple times in the phase and frequency directions by two different investigators. The artifact region around the implant was examined using a quantitative method following standardization of the phantom signal values. It was revealed that MAVRIC SL was a superior sequence compared with CUBE and MAGiC, as there was significantly less distortion, a lack of bias between the two different investigators and significantly reduced artifact regions. These results suggested the possibility of utilizing MAVRIC SL for follow-up to observe metal implant insertions.
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Affiliation(s)
- Masaki Hirano
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan,Department of Radiology, Osaka Red Cross Hospital, Osaka 543-8555, Japan
| | - Yuki Muto
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan,Department of Radiology, Oomoto Hospital, Okayama 700-0924, Japan
| | - Masahiro Kuroda
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan,Correspondence to: Professor Masahiro Kuroda, Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
| | - Yuta Fujiwara
- Division of Clinical Radiology Service, Okayama Central Hospital, Okayama 700-0017, Japan
| | - Tomoaki Sasaki
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan,Department of Diagnostic Radiology, National Cancer Center Hospital East, Chiba 277-8577, Japan
| | - Kazuhiro Kuroda
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan,Department of Health and Welfare Science, Graduate School of Health and Welfare Science, Okayama Prefectural University, Okayama 719-1197, Japan
| | - Ryo Kamizaki
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Satoshi Imajoh
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Yoshinori Tanabe
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Wlla E. Al-Hammad
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-0017, Japan
| | - Yuki Nakamitsu
- Department of Radiological Technology, Graduate School of Health Sciences, Okayama University, Okayama 700-8558, Japan
| | - Yudai Shimizu
- Department of Oral and Maxillofacial Radiology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-0017, Japan
| | - Kohei Sugimoto
- Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University, Okayama, 770-8558, Japan
| | - Masataka Oita
- Graduate School of Interdisciplinary Sciences and Engineering in Health Systems, Okayama University, Okayama, 770-8558, Japan
| | - Irfan Sugianto
- Department of Oral Radiology, Faculty of Dentistry, Hasanuddin University, Makassar, Sulawesi 90245, Indonesia
| | - Babatunde O. Bamgbose
- Department of Oral Diagnostic Sciences, Faculty of Dentistry, Bayero University, Kano 00234, Nigeria
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Exploring the Usability of α-MSH-SM-Liposome as an Imaging Agent to Study Biodegradable Bone Implants In Vivo. Int J Mol Sci 2023; 24:ijms24021103. [PMID: 36674616 PMCID: PMC9866773 DOI: 10.3390/ijms24021103] [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: 11/30/2022] [Revised: 12/23/2022] [Accepted: 01/05/2023] [Indexed: 01/09/2023] Open
Abstract
Novel biodegradable metal alloys are increasingly used as implant materials. The implantation can be accompanied by an inflammatory response to a foreign object. For studying inflammation in the implantation area, non-invasive imaging methods are needed. In vivo imaging for the implanted area and its surroundings will provide beneficiary information to understand implant-related inflammation and help to monitor it. Therefore, inflammation-sensitive fluorescent liposomes in rats were tested in the presence of an implant to evaluate their usability in studying inflammation. The sphingomyelin-containing liposomes carrying alpha-melanocyte-stimulating hormone (α-MSH)-peptide were tested in a rat bone implant model. The liposome interaction with implant material (Mg-10Gd) was analyzed with Mg-based implant material (Mg-10Gd) in vitro. The liposome uptake process was studied in the bone-marrow-derived macrophages in vitro. Finally, this liposomal tracer was tested in vivo. It was found that α-MSH coupled sphingomyelin-containing liposomes and the Mg-10Gd implant did not have any disturbing influence on each other. The clearance of liposomes was observed in the presence of an inert and biodegradable implant. The degradable Mg-10Gd was used as an alloy example; however, the presented imaging system offers a new possible use of α-MSH-SM-liposomes as tools for investigating implant responses.
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PET-Computed Tomography in Bone and Joint Infections. PET Clin 2023; 18:49-69. [DOI: 10.1016/j.cpet.2022.08.002] [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]
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Pierce JL, Perry MT, Wessell DE, Lenchik L, Ahlawat S, Baker JC, Banks J, Caracciolo JT, DeGeorge KC, Demertzis JL, Garner HW, Scott JA, Sharma A, Beaman FD. ACR Appropriateness Criteria® Suspected Osteomyelitis, Septic Arthritis, or Soft Tissue Infection (Excluding Spine and Diabetic Foot): 2022 Update. J Am Coll Radiol 2022; 19:S473-S487. [PMID: 36436971 DOI: 10.1016/j.jacr.2022.09.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/27/2022]
Abstract
Musculoskeletal infections involve bones, joints, and soft tissues. These infections are a common clinical scenario in both outpatient and emergent settings. Although radiography provides baseline findings, a multimodality approach is often implemented to provide more detailed information on the extent of infection involvement and complications. MRI with intravenous contrast is excellent for the evaluation of musculoskeletal infections and is the most sensitive for diagnosing osteomyelitis. MRI, CT, and ultrasound can be useful for joint and soft tissue infections. When MRI or CT is contraindicated, bone scans and the appropriate utilization of other nuclear medicine scans can be implemented for aiding in the diagnostic imaging of infection, especially with metal hardware and arthroplasty artifacts on MRI and CT. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer-reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances in which peer-reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
- Jennifer L Pierce
- University of Virginia, Charlottesville, Virginia; Associate Division Chair, Musculoskeletal Radiology, University of Virginia; Radiology Residency Global Health Leadership Track Program Director, University of Virginia.
| | - Michael T Perry
- Research Author, University of Virginia Health Center, Charlottesville, Virginia
| | | | - Leon Lenchik
- Panel Vice-Chair, Wake Forest University School of Medicine, Winston Salem, North Carolina
| | - Shivani Ahlawat
- The Johns Hopkins University School of Medicine, Baltimore, Maryland; member
| | - Jonathan C Baker
- Mallinckrodt Institute of Radiology Washington University School of Medicine, Saint Louis, Missouri; MSK Imaging and Interventions Fellowship Director, Mallinckrodt Institute of Radiology
| | - James Banks
- Aventura Hospital, Aventura, Florida; Student Radiology Rotation Clerkship Director for HCA Florida Aventura and Kendall Hospitals; Nova Southeastern University, Fort Lauderdale, Florida
| | - Jamie T Caracciolo
- Moffitt Cancer Center and University of South Florida Morsani College of Medicine, Tampa, Florida; MSK-RADS (Bone) Committee; Section Head, MSK Imaging, Moffitt Cancer Center; Chairman, ACR MSK-RADS Committee
| | - Katharine C DeGeorge
- University of Virginia, Charlottesville, Virginia; Primary care physician; Deputy Editor, DynaMed; and Advisory Board, Flo Health Medical
| | - Jennifer L Demertzis
- Diagnostic Imaging Associates, Chesterfield, Missouri; Partner, ProSight Radiology
| | - Hillary W Garner
- Mayo Clinic Florida, Jacksonville, Florida; Committee Chair, Society of Skeletal Radiology and International Skeletal Society
| | - Jinel A Scott
- SUNY Downstate Health Sciences University, Brooklyn, New York; Chief Quality Officer
| | - Akash Sharma
- Mayo Clinic, Jacksonville, Florida; Commission on Nuclear Medicine and Molecular Imaging; Chair, Research Committee, Radiology, Mayo Clinic Florida; PET-MRI workgroup, Mayo Clinic Florida
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Romanò CL, Petrosillo N, Argento G, Sconfienza LM, Treglia G, Alavi A, Glaudemans AW, Gheysens O, Maes A, Lauri C, Palestro CJ, Signore A. The Role of Imaging Techniques to Define a Peri-Prosthetic Hip and Knee Joint Infection: Multidisciplinary Consensus Statements. J Clin Med 2020; 9:jcm9082548. [PMID: 32781651 PMCID: PMC7466174 DOI: 10.3390/jcm9082548] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 07/20/2020] [Accepted: 08/03/2020] [Indexed: 02/07/2023] Open
Abstract
Diagnosing a peri-prosthetic joint infection (PJI) remains challenging despite the availability of a variety of clinical signs, serum and synovial markers, imaging techniques, microbiological and histological findings. Moreover, the one and only true definition of PJI does not exist, which is reflected by the existence of at least six different definitions by independent societies. These definitions are composed of major and minor criteria for defining a PJI, but most of them do not include imaging techniques. This paper highlights the pros and cons of available imaging techniques—X-ray, ultrasound, computed tomography (CT), Magnetic Resonance Imaging (MRI), bone scintigraphy, white blood cell scintigraphy (WBC), anti-granulocyte scintigraphy, and fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT), discusses the added value of hybrid camera systems—single photon emission tomography/computed tomography (SPECT/CT), PET/CT and PET/MRI and reports consensus answers on important clinical questions that were discussed during the Third European Congress on Inflammation/Infection Imaging in Rome, December 2019.
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Affiliation(s)
- Carlo Luca Romanò
- Gruppo di Studio SIOT Infezioni-Clinica San Gaudenzio-Novara-Gruppo Policlinico di Monza, University of Milan, 20100 Milan, Italy;
| | - Nicola Petrosillo
- Clinical and Research Department for Infectious Diseases, National Institute for Infective Diseases “L. Spallanzani”, 00144 Rome, Italy;
| | | | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, 20161 Milan, Italy;
- Department of Biomedical Sciences for Health, University of Milan, 20123 Milan, Italy
| | - Giorgio Treglia
- Nuclear Medicine and PET/CT Center, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale Via Lugano 4F, CH-6500 Bellinzona, Switzerland;
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
| | - Abass Alavi
- Division of Nuclear Medicine, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 1904, USA;
| | - Andor W.J.M. Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands;
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium;
| | - Alex Maes
- Department of Nuclear Medicine, AZ Groeninge, Kortrijk Belgium and Department of Imaging and Pathology @ KULAK, KU Leuven campus Kulak, 8500 Kortrijk, Belgium;
| | - Chiara Lauri
- Nuclear Medicine Unit Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, “Sapienza” University of Rome, 00161 Rome, Italy;
| | - Christopher J. Palestro
- Department of Radiology Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA;
| | - Alberto Signore
- Nuclear Medicine Unit Department of Medical-Surgical Sciences and of Translational Medicine, Faculty of Medicine and Psychology, “Sapienza” University of Rome, 00161 Rome, Italy;
- Correspondence:
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Real-world experience of the role of 18F FDG PET-computed tomography in chronic spinal implant infection. Nucl Med Commun 2020; 41:715-720. [PMID: 32427702 DOI: 10.1097/mnm.0000000000001211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The presence of postinstrumentation back pain in patients after undergoing spinal surgery is a well established phenomenon. So too is the presence of infection, both overt and subclinical which can be a source of pain. The accurate assessment of infection in patients with spinal implants in situ and no overt radiological or biochemical abnormalities frequently presents a diagnostic challenge. We present our experience spanning 5 years of using 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography (18F FDG PET)-computed tomography (CT) scans to aid the diagnostic process in treating presumed low-grade chronic implant infection. METHODS We undertook a retrospective analysis of all patients with spinal implants in place who were referred for 18F FDG PET-CT imaging over a 5-year period. All available images, case notes and laboratory results were reviewed. RESULTS Data pertaining to 49 patients were analysed, with infection diagnosed on 18F FDG PET-CT in 24 (45%) of those sent for scanning. Fifteen patients in the cohort underwent revision surgery, and 11 of whom had been diagnosed as infected on PET-CT. Confirmation of infection with positive microbiological sampling occurred in 8/11 giving a positive predictive value of 0.72 in our series. CONCLUSION We present a real-world experience of using 18F FDG PET-CT as a diagnostic tool in the evaluation of patients with chronic pain after undergoing spinal implantation. We have found PET-CT to be a promising modality and would recommend multicentre collaboration to ensure reproducibility across more centres.
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