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Saric P, Bois JP, Giudicessi JR, Rosenbaum AN, Kusmirek JE, Lin G, Chareonthaitawee P. Imaging of Cardiac Sarcoidosis: An Update and Future Aspects. Semin Nucl Med 2024; 54:701-716. [PMID: 38480041 DOI: 10.1053/j.semnuclmed.2024.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 08/20/2024]
Abstract
Cardiac sarcoidosis (CS), an increasingly recognized disease of unknown etiology, is associated with significant morbidity and mortality. Given the limited diagnostic yield of traditional endomyocardial biopsy (EMB), there is increasing reliance on multimodality cardiovascular imaging in the diagnosis and management of CS, with EMB being largely supplanted by the use of 18F-fluorodeoxyglucose (FDG-PET) and cardiac magnetic resonance imaging (CMR). This article aims to provide a comprehensive review of imaging modalities currently utilized in the screening, diagnosis, and monitoring of CS, while highlighting the latest developments in each area.
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Affiliation(s)
- Petar Saric
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - John P Bois
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | - Grace Lin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
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2
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Lyu Y, Tian X. MWG-UNet: Hybrid Deep Learning Framework for Lung Fields and Heart Segmentation in Chest X-ray Images. Bioengineering (Basel) 2023; 10:1091. [PMID: 37760193 PMCID: PMC10525798 DOI: 10.3390/bioengineering10091091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Deep learning technology has achieved breakthrough research results in the fields of medical computer vision and image processing. Generative adversarial networks (GANs) have demonstrated a capacity for image generation and expression ability. This paper proposes a new method called MWG-UNet (multiple tasking Wasserstein generative adversarial network U-shape network) as a lung field and heart segmentation model, which takes advantages of the attention mechanism to enhance the segmentation accuracy of the generator so as to improve the performance. In particular, the Dice similarity, precision, and F1 score of the proposed method outperform other models, reaching 95.28%, 96.41%, and 95.90%, respectively, and the specificity surpasses the sub-optimal models by 0.28%, 0.90%, 0.24%, and 0.90%. However, the value of the IoU is inferior to the optimal model by 0.69%. The results show the proposed method has considerable ability in lung field segmentation. Our multi-organ segmentation results for the heart achieve Dice similarity and IoU values of 71.16% and 74.56%. The segmentation results on lung fields achieve Dice similarity and IoU values of 85.18% and 81.36%.
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Affiliation(s)
| | - Xiaolin Tian
- School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau 999078, China;
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Kurashima S, Kitai T, Xanthopoulos A, Skoularigis J, Triposkiadis F, Izumi C. Diagnosis of cardiac sarcoidosis: histological evidence vs. imaging. Expert Rev Cardiovasc Ther 2023; 21:693-702. [PMID: 37776232 DOI: 10.1080/14779072.2023.2266367] [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: 04/01/2023] [Accepted: 09/29/2023] [Indexed: 10/02/2023]
Abstract
INTRODUCTION The prognosis for cardiac sarcoidosis (CS) remains unfavorable. Although early and accurate diagnosis is crucial, the low detection rate of endomyocardial biopsy makes accurate diagnosis challenging. AREAS COVERED The Heart Rhythm Society (HRS) consensus statement and the Japanese Circulation Society (JCS) guidelines are two major diagnostic criteria for the diagnosis of CS. While the requirement of positive histology for the diagnosis in the HRS criteria can result in overlooked cases, the JCS guidelines advocate for a group of 'clinical' diagnoses based on advanced imaging, including cardiovascular magnetic resonance and 18F-fluorodeoxyglucose positron emission tomography, which do not require histological evidence. Recent studies have supported the usefulness of clinical diagnosis of CS. However, other evidence suggests that clinical CS may sometimes be inaccurate. This article describes the advantages and disadvantages of the current diagnostic criteria for CS, and typical imaging and clinical courses. EXPERT OPINION The diagnosis of clinical CS has been made possible by recent developments in multimodality imaging. However, it is still crucial to look for histological signs of sarcoidosis in other organs in addition to the endomyocardium. Additionally, phenotyping based on clinical manifestations such as heart failure, conduction abnormality or ventricular arrhythmia, and extracardiac abnormalities is clinically significant.
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Affiliation(s)
- Shinichi Kurashima
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Takeshi Kitai
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Andrew Xanthopoulos
- Department of Cardiology, University General Hospital of Larissa, Larissa, Greece
| | - John Skoularigis
- Department of Cardiology, University General Hospital of Larissa, Larissa, Greece
| | | | - Chisato Izumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan
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4
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Young KA, Lyle M, Rosenbaum AN, Chang IC, Lin G, Bois MC, Ezzeddine OFA, Jouni H, Chareonthaitawee P, Kapa S, Grogan M, Cooper LT, Blauwet L, Bois JP. 18F-FDG/ 13N-ammonia cardiac PET findings in ATTR cardiac amyloidosis. J Nucl Cardiol 2023; 30:726-735. [PMID: 35084701 DOI: 10.1007/s12350-021-02886-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 10/29/2021] [Indexed: 12/19/2022]
Abstract
18F-flurodeoxyglycose (FDG)/13N-ammonia positron emission tomography/computed tomography (PET/CT) is frequently utilized to evaluate cardiac sarcoidosis (CS) but findings can reflect other forms of myocardial inflammation or altered myocardial metabolic activity. Herein, we present five cases where cardiac PET findings suggested CS, but right ventricular endomyocardial biopsy samples revealed ATTR-type cardiac amyloidosis.
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Affiliation(s)
- Kathleen A Young
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Melissa Lyle
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FLa, USA
| | - Andrew N Rosenbaum
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Ian C Chang
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Grace Lin
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Melanie C Bois
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Omar F Abou Ezzeddine
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Hayan Jouni
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | | | - Suraj Kapa
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Martha Grogan
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA
| | - Leslie T Cooper
- Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FLa, USA
| | | | - John P Bois
- Department of Cardiovascular Medicine, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
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Assessment of Cardiac Sarcoidosis: FDG PET and BMIPP SPECT. Curr Cardiol Rep 2022; 24:1873-1882. [PMID: 36282434 DOI: 10.1007/s11886-022-01803-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/11/2022] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW Cardiac sarcoidosis (CS) is an inflammatory disease of unknown etiology that can lead to life-threatening arrhythmias, heart failure, and death. Advanced cardiac imaging modalities have improved the clinician's ability to detect this disease. The purpose of this review is to discuss the recent evidence of cardiac metabolic imaging as assessed by [18F]FDG PET and [123I]BMIPP SPECT in the evaluation of CS patients. RECENT FINDINGS [18F]FDG PET is the gold standard to identify myocardial inflammation. [123I]BMIPP SPECT can uncover early myocardial damage as well as advanced stages of CS when fibrosis prevails. In presence of inflammation, myocardial [18F]FDG uptake is increased, but in contrast, BMIPP myocardial uptake is reduced or even suppressed. Thus, a complementary role of cardiac metabolic imaging by [18F]FDG PET and BMIPP SPECT has been proposed to detect the whole spectrum of CS. [18F]FDG PET is considered an important tool to improve the diagnosis and optimize the management of CS. The role of [123I]BMIPP SPECT in diagnosing CS is still under investigation. Further studies are needed to evaluate the clinical utility of combined cardiac metabolic imaging in the diagnosis, prognosis, and for selecting treatments in CS patients.
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Kitai T, Nabeta T, Naruse Y, Taniguchi T, Yoshioka K, Miyakoshi C, Kurashima S, Miyoshi Y, Tanaka H, Okumura T, Baba Y, Furukawa Y, Matsue Y, Izumi C. Comparisons between biopsy-proven versus clinically diagnosed cardiac sarcoidosis. Heart 2022; 108:1887-1894. [PMID: 35790370 DOI: 10.1136/heartjnl-2022-320932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 06/10/2022] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES Diagnosis of cardiac sarcoidosis (CS) without histological evidence remains controversial. This study aimed to compare characteristics and outcomes of histologically proven versus clinically diagnosed cases of CS, which were adjudicated using Heart Rhythm Society or Japanese Circulation Society criteria. METHODS A total of 512 patients with CS (age: 62±11 years, female: 64.3%) enrolled in the multicentre registry were studied. Histologically confirmed patients were classified as 'biopsy-proven CS', while those with the presence of strongly suggestive clinical findings of CS without histological evidence were classified as 'clinical CS'. Primary outcome was a composite of all-cause death, heart failure hospitalisation and ventricular arrhythmia event. RESULTS In total, 314 patients (61.3%) were classified as biopsy-proven CS, while 198 (38.7%) were classified as clinical CS. Patients classified under clinical CS were associated with higher prevalence of left ventricular dysfunction, septal thinning, and positive findings in fluorodeoxyglucose-positron emission tomography or Gallium scintigraphy than those under biopsy-proven CS. During median follow-up of 43.7 (23.3-77.3) months, risk of primary outcome was comparable between the groups (adjusted HR: 1.24, 95% CI: 0.88 to 1.75, p=0.22). Similarly, the risks of primary outcome were comparable between patients with clinical isolated CS who did not have other organ/tissue involvement, and biopsy-proven isolated CS (adjusted HR: 1.23, 95% CI: 0.56 to 2.70, p=0.61). CONCLUSIONS A substantial number of patients were diagnosed with clinical CS without confirmatory biopsy. Considering the worse clinical outcomes irrespective of the histological evidence, the diagnosis of clinical CS is justifiable if imaging findings suggestive of CS are observed.
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Affiliation(s)
- Takeshi Kitai
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan .,Department of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Takeru Nabeta
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan
| | - Yoshihisa Naruse
- Division of Cardiology, Internal Medicine III, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tatsunori Taniguchi
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | | | - Chisato Miyakoshi
- Department of Research Support, Center for Clinical Research and Innovation, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Shinichi Kurashima
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
| | - Yutaro Miyoshi
- Department of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Kobe, Japan.,Department of Cardiovascular Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hidekazu Tanaka
- Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Takahiro Okumura
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yuichi Baba
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, Japan
| | - Yutaka Furukawa
- Department of Cardiovascular Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Yuya Matsue
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan
| | - Chisato Izumi
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan
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Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:4272411. [PMID: 34961825 PMCID: PMC8710161 DOI: 10.1155/2021/4272411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 11/28/2021] [Accepted: 12/01/2021] [Indexed: 11/17/2022]
Abstract
This study aimed to investigate the application of positron emission tomography- (PET-) computed tomography (CT) image information data combined with serous cavity effusion based on clone selection artificial intelligence algorithm in the diagnosis of patients with malignant tumors. A total of 97 patients with PET-CT scanning and empirically confirmed as serous cavity effusion were retrospectively analyzed in this study. The clone selection artificial intelligence algorithm was applied to register the PET-CT images, and the patients were rolled into a benign effusion group and a malignant effusion group according to the benign and malignant conditions of the serous cavity effusion. Besides, the causes of patients from the two groups were analyzed, and there was a comparison of their physiological conditions. Subsequently, CT values of different KeV, lipid/water, water/iodine, and water/calcium concentrations were measured, and the differences of the above quantitative parameters between benign and malignant serous cavity effusion were compared, as well as the registration results of the clone algorithm. The results showed that the registration time and misalignment times of clonal selection algorithm (13.88, 0) were lower than those of genetic algorithm (18.72, 8). There were marked differences in CT values of 40-60 keV and 130-140 keV between the two groups. The concentrations of lipid/water, water/iodine, and water/calcium in basal substances of the malignant effusion group were obviously higher than the concentrations of the benign effusion group (P < 0.05). Benign and malignant effusions presented different manifestations in PET-CT, which was conducive to the further diagnosis of malignant tumors. Based on clone selection artificial intelligence algorithm, PET-CT could provide a new multiparameter method for the identification of benign and malignant serous cavity effusions and benign and malignant tumors.
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Abstract
Cardiovascular disease is the leading cause of death worldwide. Given the increased availability of radiopharmaceuticals, improved positron emission tomography (PET) camera systems and proven higher diagnostic accuracy, PET is increasingly utilized in the management of various cardiovascular diseases. PET has high temporal and spatial resolution, when compared to Single Photon Emission Computed Tomography. In clinical practice, hybrid imaging with sequential PET and Computed Tomography acquisitions (PET/CT) or concurrent PET and Magnetic Resonance Imaging are standard. This article will review applications of cardiovascular PET/CT including myocardial perfusion, viability, cardiac sarcoidosis/inflammation, and infection.
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9
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Campisi R, Merani MF, Rodríguez MI. BMIPP SPECT in cardiac sarcoidosis: A marker of risk? J Nucl Cardiol 2021; 28:930-935. [PMID: 33904149 DOI: 10.1007/s12350-021-02626-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 03/31/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Roxana Campisi
- Departments of Nuclear Medicine and Cardiovascular Imaging, Diagnóstico Maipú, Diagnóstico Maipú, Av. Maipú 1668, Vicente López (B1602ABQ), Buenos Aires, Argentina.
- Department of Nuclear Medicine, Instituto Argentino de Diagnóstico y Tratamiento S.A, Buenos Aires, Argentina.
| | - María Fernanda Merani
- Departments of Nuclear Medicine and Cardiovascular Imaging, Diagnóstico Maipú, Diagnóstico Maipú, Av. Maipú 1668, Vicente López (B1602ABQ), Buenos Aires, Argentina
- Department of Nuclear Medicine, Instituto Argentino de Diagnóstico y Tratamiento S.A, Buenos Aires, Argentina
| | - Marina I Rodríguez
- Departments of Nuclear Medicine and Cardiovascular Imaging, Diagnóstico Maipú, Diagnóstico Maipú, Av. Maipú 1668, Vicente López (B1602ABQ), Buenos Aires, Argentina
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Casali M, Lauri C, Altini C, Bertagna F, Cassarino G, Cistaro A, Erba AP, Ferrari C, Mainolfi CG, Palucci A, Prandini N, Baldari S, Bartoli F, Bartolomei M, D’Antonio A, Dondi F, Gandolfo P, Giordano A, Laudicella R, Massollo M, Nieri A, Piccardo A, Vendramin L, Muratore F, Lavelli V, Albano D, Burroni L, Cuocolo A, Evangelista L, Lazzeri E, Quartuccio N, Rossi B, Rubini G, Sollini M, Versari A, Signore A. State of the art of 18F-FDG PET/CT application in inflammation and infection: a guide for image acquisition and interpretation. Clin Transl Imaging 2021; 9:299-339. [PMID: 34277510 PMCID: PMC8271312 DOI: 10.1007/s40336-021-00445-w] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 06/19/2021] [Indexed: 02/06/2023]
Abstract
AIM The diagnosis, severity and extent of a sterile inflammation or a septic infection could be challenging since there is not one single test able to achieve an accurate diagnosis. The clinical use of 18F-fluorodeoxyglucose ([18F]FDG) positron emission tomography/computed tomography (PET/CT) imaging in the assessment of inflammation and infection is increasing worldwide. The purpose of this paper is to achieve an Italian consensus document on [18F]FDG PET/CT or PET/MRI in inflammatory and infectious diseases, such as osteomyelitis (OM), prosthetic joint infections (PJI), infective endocarditis (IE), prosthetic valve endocarditis (PVE), cardiac implantable electronic device infections (CIEDI), systemic and cardiac sarcoidosis (SS/CS), diabetic foot (DF), fungal infections (FI), tuberculosis (TBC), fever and inflammation of unknown origin (FUO/IUO), pediatric infections (PI), inflammatory bowel diseases (IBD), spine infections (SI), vascular graft infections (VGI), large vessel vasculitis (LVV), retroperitoneal fibrosis (RF) and COVID-19 infections. METHODS In September 2020, the inflammatory and infectious diseases focus group (IIFG) of the Italian Association of Nuclear Medicine (AIMN) proposed to realize a procedural paper about the clinical applications of [18F]FDG PET/CT or PET/MRI in inflammatory and infectious diseases. The project was carried out thanks to the collaboration of 13 Italian nuclear medicine centers, with a consolidate experience in this field. With the endorsement of AIMN, IIFG contacted each center, and the pediatric diseases focus group (PDFC). IIFG provided for each team involved, a draft with essential information regarding the execution of [18F]FDG PET/CT or PET/MRI scan (i.e., indications, patient preparation, standard or specific acquisition modalities, interpretation criteria, reporting methods, pitfalls and artifacts), by limiting the literature research to the last 20 years. Moreover, some clinical cases were required from each center, to underline the teaching points. Time for the collection of each report was from October to December 2020. RESULTS Overall, we summarized 291 scientific papers and guidelines published between 1998 and 2021. Papers were divided in several sub-topics and summarized in the following paragraphs: clinical indications, image interpretation criteria, future perspectivess and new trends (for each single disease), while patient preparation, image acquisition, possible pitfalls and reporting modalities were described afterwards. Moreover, a specific section was dedicated to pediatric and PET/MRI indications. A collection of images was described for each indication. CONCLUSIONS Currently, [18F]FDG PET/CT in oncology is globally accepted and standardized in main diagnostic algorithms for neoplasms. In recent years, the ever-closer collaboration among different European associations has tried to overcome the absence of a standardization also in the field of inflammation and infections. The collaboration of several nuclear medicine centers with a long experience in this field, as well as among different AIMN focus groups represents a further attempt in this direction. We hope that this document will be the basis for a "common nuclear physicians' language" throughout all the country. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s40336-021-00445-w.
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Affiliation(s)
- Massimiliano Casali
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale IRCCS, Reggio Emilia, Italy
| | - Chiara Lauri
- grid.7841.aNuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, “Sapienza” University of Rome, Rome, Italy
| | - Corinna Altini
- grid.7644.10000 0001 0120 3326Nuclear Medicine Unit, Interdisciplinary Department of Medicine, University of Bari, Bari, Italy
| | - Francesco Bertagna
- grid.412725.7Nuclear Medicine, University of Brescia and Spedali Civili di Brescia, Brescia, Italy
| | - Gianluca Cassarino
- grid.5608.b0000 0004 1757 3470Nuclear Medicine Unit, Department of Medicine DIMED, University of Padova, Padova, Italy
| | | | - Anna Paola Erba
- grid.5395.a0000 0004 1757 3729Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Cristina Ferrari
- grid.7644.10000 0001 0120 3326Nuclear Medicine Unit, Interdisciplinary Department of Medicine, University of Bari, Bari, Italy
| | - Ciro Gabriele Mainolfi
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Naples, Italy
| | - Andrea Palucci
- grid.415845.9Department of Nuclear Medicine, “Ospedali Riuniti di Torrette” Hospital, Ancona, Italy
| | - Napoleone Prandini
- grid.418324.80000 0004 1781 8749Nuclear Medicine Unit, Department of Diagnostic Imaging, Centro Diagnostico Italiano, Milan, Italy
| | - Sergio Baldari
- grid.10438.3e0000 0001 2178 8421Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, Messina, Italy
| | - Francesco Bartoli
- grid.5395.a0000 0004 1757 3729Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Mirco Bartolomei
- grid.416315.4Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
| | - Adriana D’Antonio
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Naples, Italy
| | - Francesco Dondi
- grid.412725.7Nuclear Medicine, University of Brescia and Spedali Civili di Brescia, Brescia, Italy
| | - Patrizia Gandolfo
- grid.418324.80000 0004 1781 8749Nuclear Medicine Unit, Department of Diagnostic Imaging, Centro Diagnostico Italiano, Milan, Italy
| | - Alessia Giordano
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Naples, Italy
| | - Riccardo Laudicella
- grid.10438.3e0000 0001 2178 8421Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, University of Messina, Messina, Italy
| | | | - Alberto Nieri
- grid.416315.4Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
| | | | - Laura Vendramin
- grid.5608.b0000 0004 1757 3470Nuclear Medicine Unit, Department of Medicine DIMED, University of Padova, Padova, Italy
| | - Francesco Muratore
- Rheumatology Unit, Azienda Unità Sanitaria Locale IRCCS, Reggio Emilia, Italy
| | - Valentina Lavelli
- grid.7644.10000 0001 0120 3326Nuclear Medicine Unit, Interdisciplinary Department of Medicine, University of Bari, Bari, Italy
| | - Domenico Albano
- grid.412725.7Nuclear Medicine, University of Brescia and Spedali Civili di Brescia, Brescia, Italy
| | - Luca Burroni
- grid.415845.9Department of Nuclear Medicine, “Ospedali Riuniti di Torrette” Hospital, Ancona, Italy
| | - Alberto Cuocolo
- grid.4691.a0000 0001 0790 385XDepartment of Advanced Biomedical Sciences, University “Federico II”, Naples, Italy
| | - Laura Evangelista
- grid.5608.b0000 0004 1757 3470Nuclear Medicine Unit, Department of Medicine DIMED, University of Padova, Padova, Italy
| | - Elena Lazzeri
- grid.5395.a0000 0004 1757 3729Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Natale Quartuccio
- grid.419995.9Nuclear Medicine Unit, A.R.N.A.S. Civico di Cristina and Benfratelli Hospitals, Palermo, Italy
| | - Brunella Rossi
- Nuclear Medicine Unit, Department of Services, ASUR MARCHE-AV5, Ascoli Piceno, Italy
| | - Giuseppe Rubini
- grid.7644.10000 0001 0120 3326Nuclear Medicine Unit, Interdisciplinary Department of Medicine, University of Bari, Bari, Italy
| | - Martina Sollini
- grid.417728.f0000 0004 1756 8807Humanitas Clinical and Research Center, IRCCS, Rozzano, Italy
| | - Annibale Versari
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale IRCCS, Reggio Emilia, Italy
| | - Alberto Signore
- grid.7841.aNuclear Medicine Unit, Department of Medical-Surgical Sciences and of Translational Medicine, “Sapienza” University of Rome, Rome, Italy
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11
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Sankjmiron SS, Kyprianou K, Cherk MH, Nadebaum DP, Beech PA, Khor R, Zimmet H, Hare JL, Larby A, Yap KS, Barber TW. Excellent suppression of physiological myocardial FDG activity in patients with cardiac sarcoidosis. J Med Imaging Radiat Oncol 2020; 65:54-59. [PMID: 33103345 DOI: 10.1111/1754-9485.13121] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/26/2020] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Suppression of physiological myocardial FDG activity is vital in patients undergoing PET/CT for assessment of known or suspected cardiac sarcoidosis. This study aims to evaluate the efficacy of physiological myocardial FDG suppression following a protocol change to a 24-h high fat very low carbohydrate (HFVLC) diet and prolonged fast. METHODS A retrospective review of patients undergoing FDG PET/CT for the evaluation of cardiac sarcoidosis was performed. Prior to June-2018, patients were prepared with a single very high-fat low carbohydrate meal followed by a 12-18 h fast (group 1). After June-2018, a protocol change was initiated with patients prepared with a HFVLC diet for 24-h followed by a 12-18 h fast (group 2). Focal myocardial activity was classified as positive, absent activity as negative and diffuse/focal on diffuse activity as indeterminate. RESULTS A total of 94 FDG PET/CT scans were included with 46 scans in group 1 and 48 scans in group 2. Studies were classified as positive, negative or indeterminate in 25 (54%), 7 (15%) and 14 (30%) scans in group 1 and in 13 (27%), 33 (69%) and 2 (4%) scans in group 2, respectively. In scans classified as negative, myocardial FDG activity was less than mediastinal blood pool activity in 5/7 (71%) scans in group 1 and 33/33 (100%) scans in group 2. CONCLUSION Excellent myocardial FDG suppression can be achieved using a 24-h HFVLC diet and prolonged fast, resulting in a very low indeterminate scan rate in patients with known or suspected cardiac sarcoidosis.
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Affiliation(s)
- Shyam S Sankjmiron
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Katerina Kyprianou
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Martin H Cherk
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - David P Nadebaum
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Paul A Beech
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia.,Department of Radiology, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Robert Khor
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Hendrik Zimmet
- Department of Medicine, Monash University, Melbourne, Victoria, Australia.,Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia.,Cardiac Clinical Sciences Institute, Epworth Hospital, Melbourne, Victoria, Australia
| | - James L Hare
- Department of Medicine, Monash University, Melbourne, Victoria, Australia.,Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Annabel Larby
- Department of Nutrition, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Kenneth Sk Yap
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - Thomas W Barber
- Department of Nuclear Medicine and PET, The Alfred Hospital, Melbourne, Victoria, Australia.,Department of Medicine, Monash University, Melbourne, Victoria, Australia
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12
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Nikpanah M, Katal S, Christensen TQ, Werner TJ, Hess S, Malayeri AA, Gholamrezanezhad A, Alavi A, Saboury B. Potential Applications of PET Scans, CT Scans, and MR Imaging in Inflammatory Diseases: Part II: Cardiopulmonary and Vascular Inflammation. PET Clin 2020; 15:559-576. [PMID: 32792228 DOI: 10.1016/j.cpet.2020.06.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Detecting inflammation is among the most important aims of medical imaging. Inflammatory process involves immune system activity and local tissue response. The role of PET with fludeoxyglucose F 18 has been expanded. Systemic vasculitides and cardiopulmonary inflammatory disorders constitute a wide range of diseases with multisystemic manifestations. PET with fludeoxyglucose F 18 is useful in their diagnosis, assessment, and follow-up. This article provides an overview of the current status and potentials of hybrid molecular imaging in evaluating cardiopulmonary and vascular inflammatory diseases focusing on the potential for PET with fludeoxyglucose F 18/MR imaging and PET/CT scans.
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Affiliation(s)
- Moozhan Nikpanah
- Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Sanaz Katal
- Department of Nuclear Medicine/PET-CT, Kowsar Hospital, Shiraz, Iran
| | - Thomas Q Christensen
- Department of Clinical Engineering, Region of Southern Denmark, Esbjerg, Denmark 5000
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104, USA
| | - Søren Hess
- Department of Radiology and Nuclear Medicine, Hospital of South West Jutland, University Hospital of Southern Denmark, Esbjerg, Denmark 6700; Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Ashkan A Malayeri
- Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Health Sciences Campus, 1500 San Pablo Street, Los Angeles, California 90033, USA
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104, USA
| | - Babak Saboury
- Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA; Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104, USA.
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13
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Mesquita CT, Ker WDS, de Azevedo JC. Nuclear Cardiology in 2020 - Perspectives of the New SBC Guideline. Arq Bras Cardiol 2020; 114:196-198. [PMID: 32215483 PMCID: PMC7077575 DOI: 10.36660/abc.20190874] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Affiliation(s)
- Cláudio Tinoco Mesquita
- Departamento de Radiologia - Hospital Universitário Antônio Pedro - Empresa Brasileira de Serviços Hospitalares - Universidade Federal Fluminense (EBSERH-UFF), Niterói, RJ - Brazil
- Hospital Pró-Cardíaco, Rio de Janeiro, RJ - Brazil
| | | | - Jader Cunha de Azevedo
- Departamento de Radiologia - Hospital Universitário Antônio Pedro - Empresa Brasileira de Serviços Hospitalares - Universidade Federal Fluminense (EBSERH-UFF), Niterói, RJ - Brazil
- Serviço de Medicina Nuclear - Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro (HUCFF-UFRJ), Rio de Janeiro, RJ - Brazil
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14
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Arnon-Sheleg E, Israel O, Keidar Z. PET/CT Imaging in Soft Tissue Infection and Inflammation-An Update. Semin Nucl Med 2019; 50:35-49. [PMID: 31843060 DOI: 10.1053/j.semnuclmed.2019.07.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Nuclear medicine procedures, including Ga-67 and labeled leucocyte SPECT/CT as well as PET/CT using 18F-FDG and recently Ga-68 tracers, have found extensive applications in the assessment of infectious and inflammatory processes in general and in soft tissues in particular. Recent published data focus on summarizing the available imaging information with the purpose of providing the referring clinicians with optimized evidence based results. Guidelines and/or recommendations of clinical societies have incorporated nuclear medicine tests (using both labeled leucocytes and FDG) in their suggested work-up for evaluation of infective endocarditis and in certain patients with suspected vascular graft infections. Joint guidelines of the European and American nuclear medicine societies include fever of unknown origin, sarcoidosis, and vasculitis among the major clinical indications that will benefit from nuclear medicine procedures, specifically from FDG PET/CT. Limitations and pitfalls for the use of radiotracers in assessment of infection and inflammation can be related to patient conditions (eg, diabetes mellitus), or to the biodistribution of a specific radiopharmaceutical. Limited presently available data on the use of functional and/or metabolic monitoring of response to infectious and inflammatory processes to treatment and with respect to the effect of drugs such as antibiotics and glucocorticoids on the imaging patterns of these patients need further confirmation.
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Affiliation(s)
- Elite Arnon-Sheleg
- Department of Nuclear Medicine, Galilee Medical Center, Naharia, Israel; Department of Diagnostic Radiology, Galilee Medical Center, Naharia, Israel.
| | - Ora Israel
- Department of Nuclear Medicine, Rambam Health Care Campus, Haifa, Israel; The B. Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Zohar Keidar
- Department of Nuclear Medicine, Rambam Health Care Campus, Haifa, Israel; The B. Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
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