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Almutawif YA, Al‐kuraishy HM, Al‐Gareeb AI, Alexiou A, Papadakis M, Eid HMA, Saad HM, Batiha GE. Insights on Covid-19 with superimposed pulmonary histoplasmosis: The possible nexus. Immun Inflamm Dis 2023; 11:e989. [PMID: 37773721 PMCID: PMC10540147 DOI: 10.1002/iid3.989] [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: 06/02/2023] [Revised: 08/06/2023] [Accepted: 08/09/2023] [Indexed: 10/01/2023] Open
Abstract
A novel coronavirus (CoV) known as severe acute respiratory syndrome CoV type 2 is the causative agent for the development of CoV disease 2019 (Covid-19). Covid-19 may increase the risk of developing pulmonary histoplasmosis due to immune dysregulation. In addition, Covid-19 may enhance the propagation of acute pulmonary histoplasmosis due to lung injury and inflammation, and using corticosteroids in severely affected Covid-19 patients may reactivate latent pulmonary histoplasmosis. Likewise, activation of inflammatory signaling pathways during H. capsulatum infection may increase the severity of Covid-19 and vice versa. Furthermore, lymphopenia in Covid-19 may increase the risk for the progress of pulmonary histoplasmosis besides activation of inflammatory signaling pathways during H. capsulatum infection may increase the severity of Covid-19 and vice versa. Therefore, this critical review aimed to find the potential link between Covid-19 pneumonia and pulmonary histoplasmosis concerning the immunological response.
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Affiliation(s)
- Yahya A. Almutawif
- Department of Medical Laboratories Technology, College of Applied Medical SciencesTaibah UniversityMadinahSaudi Arabia
| | - Hayder M. Al‐kuraishy
- Department of Clinical Pharmacology and Medicine, College of MedicineAl‐Mustansiriyia UniversityBaghdadIraq
| | - Ali I. Al‐Gareeb
- Department of Clinical Pharmacology and Medicine, College of MedicineAl‐Mustansiriyia UniversityBaghdadIraq
| | - Athanasios Alexiou
- Department of Science and EngineeringNovel Global Community Educational FoundationHebershamNew South WalesAustralia
- AFNP MedWienAustria
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten‐Herdecke, Heusnerstrasse 40University of Witten‐HerdeckeWuppertalGermany
| | - Hamza M. A. Eid
- Department of Medical Laboratories Technology, College of Applied Medical SciencesTaibah UniversityMadinahSaudi Arabia
| | - Hebatallah M. Saad
- Department of Pathology, Faculty of Veterinary MedicineMatrouh UniversityMarsaMatruhEgypt
| | - Gaber El‐Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary MedicineDamanhour UniversityDamanhourAlBeheiraEgypt
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Hu J, Mougiakakou S, Xue S, Afshar-Oromieh A, Hautz W, Christe A, Sznitman R, Rominger A, Ebner L, Shi K. Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease. EUROPEAN PHYSICAL JOURNAL PLUS 2023; 138:391. [PMID: 37192839 PMCID: PMC10165296 DOI: 10.1140/epjp/s13360-023-03745-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 01/25/2023] [Indexed: 05/18/2023]
Abstract
Medical imaging has been intensively employed in screening, diagnosis and monitoring during the COVID-19 pandemic. With the improvement of RT-PCR and rapid inspection technologies, the diagnostic references have shifted. Current recommendations tend to limit the application of medical imaging in the acute setting. Nevertheless, efficient and complementary values of medical imaging have been recognized at the beginning of the pandemic when facing unknown infectious diseases and a lack of sufficient diagnostic tools. Optimizing medical imaging for pandemics may still have encouraging implications for future public health, especially for long-lasting post-COVID-19 syndrome theranostics. A critical concern for the application of medical imaging is the increased radiation burden, particularly when medical imaging is used for screening and rapid containment purposes. Emerging artificial intelligence (AI) technology provides the opportunity to reduce the radiation burden while maintaining diagnostic quality. This review summarizes the current AI research on dose reduction for medical imaging, and the retrospective identification of their potential in COVID-19 may still have positive implications for future public health.
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Affiliation(s)
- Jiaxi Hu
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland
| | - Stavroula Mougiakakou
- ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland
| | - Song Xue
- ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland
| | - Ali Afshar-Oromieh
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Wolf Hautz
- Department of University Emergency Center of Inselspital, University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
| | - Andreas Christe
- Department of Radiology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland
| | - Raphael Sznitman
- ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3008 Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Lukas Ebner
- Department of Radiology, Inselspital, Bern University Hospital, University of Bern, 3012 Bern, Switzerland
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
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Griffin MT, Werner TJ, Alavi A, Revheim ME. The value of FDG-PET/CT imaging in the assessment, monitoring, and management of COVID-19. EUROPEAN PHYSICAL JOURNAL PLUS 2023; 138:283. [PMID: 37008755 PMCID: PMC10040919 DOI: 10.1140/epjp/s13360-023-03797-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 02/11/2023] [Indexed: 06/19/2023]
Abstract
The pathogenesis of Coronavirus Disease 2019 (COVID-19) involves cytokine-driven recruitment and accumulation of inflammatory cells at sites of infection. These activated neutrophils, monocytes, and effector T cells are highly glycolytic and thus appear as [18]F-labeled fluorodeoxyglucose (FDG) avid sites on positron emission tomography (PET) imaging. FDG-PET-computed tomography (FDG-PET/CT) is a highly sensitive modality for the detection, monitoring, and assessing response related to COVID-19 disease activity that holds significant clinical relevance. To date, concerns over cost, access, and undue radiation exposure have limited the use of FDG-PET/CT in COVID-19 to a small number of individuals where PET-based interventions were already indicated. In this review, we summarize the existing literature on the use of FDG-PET in the detection and monitoring of COVID-19 with particular focus on several areas of clinical relevance that warrant future research: (1) incidental early detection of subclinical COVID-19 in patients who have undergone FDG-PET for other underlying diseases, (2) standardized quantitative assessment of COVID-19 disease burden at specific points in time, and (3) analysis of FDG-PET/CT data leading to better characterization of COVID-19 pathogenesis. Employing FDG-PET/CT for these purposes may allow for the earliest detection of COVID-19-associated venous thromboembolism (VTE), standardized monitoring of disease progression and response to treatment, and better characterization of the acute and chronic complications of this disease.
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Affiliation(s)
- Matthew T. Griffin
- Drexel University College of Medicine, Philadelphia, PA USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA USA
| | - Thomas J. Werner
- Department of Radiology, University of Pennsylvania, Philadelphia, PA USA
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA USA
| | - Mona-Elisabeth Revheim
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Postbox 4950, 0424 Nydalen, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Postbox 1078, 0316 Blindern, Oslo, Norway
- The Intervention Center, Division of Technology and Innovation, Oslo University Hospital, Postbox 4950, 0424 Oslo, Norway
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4
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van Leer B, van Snick JH, Londema M, Nijsten MWN, Kasalak Ö, Slart RHJA, Glaudemans AWJM, Pillay J. [ 18F]FDG-PET/CT in mechanically ventilated critically ill patients with COVID-19 ARDS and persistent inflammation. Clin Transl Imaging 2023; 11:297-306. [PMID: 37275950 PMCID: PMC10008145 DOI: 10.1007/s40336-023-00550-y] [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: 01/10/2023] [Accepted: 02/23/2023] [Indexed: 03/14/2023]
Abstract
Purpose We report the findings of four critically ill patients who underwent an [18F]FDG-PET/CT because of persistent inflammation during the late phase of their COVID-19. Methods Four mechanically ventilated patients with COVID-19 were retrospectively discussed in a research group to evaluate the added value of [18F]FDG-PET/CT. Results Although pulmonary PET/CT findings differed, bilateral lung anomalies could explain the increased CRP and leukocytes in all patients. This underscores the limited ability of the routine laboratory to discriminate inflammation from secondary infections. Based on PET/CT findings, a secondary infection/inflammatory focus was suspected in two patients (pancreatitis and gastritis). Lymphadenopathy was present in patients with a detectable SARS-CoV-2 viral load. Muscle uptake around the hips or shoulders was observed in all patients, possibly due to the process of heterotopic ossification. Conclusion This case series illustrates the diagnostic potential of [18F]FDG-PET/CT imaging in critically ill patients with persistent COVID-19 for the identification of other causes of inflammation and demonstrates that this technique can be performed safely in mechanically ventilated critically ill patients.
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Affiliation(s)
- Bram van Leer
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Critical Care, University Medical Center Groningen, University of Groningen, TA29, PO box: 30 001, 9700 RB Groningen, The Netherlands
| | - Johannes H. van Snick
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Mark Londema
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Critical Care, University Medical Center Groningen, University of Groningen, TA29, PO box: 30 001, 9700 RB Groningen, The Netherlands
| | - Maarten W. N. Nijsten
- Department of Critical Care, University Medical Center Groningen, University of Groningen, TA29, PO box: 30 001, 9700 RB Groningen, The Netherlands
| | - Ömer Kasalak
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Riemer H. J. A. Slart
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Biomedical Photonic Imaging Group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Andor W. J. M. Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Janesh Pillay
- Department of Critical Care, University Medical Center Groningen, University of Groningen, TA29, PO box: 30 001, 9700 RB Groningen, The Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Li X, Yin W, Li A, Li D, Gao X, Wang R, Cui B, Qiu S, Li R, Jia L, Zuo C, Zhang L, Li M. ACE2 PET to reveal the dynamic patterns of ACE2 recovery in an infection model with pseudocorona virus. J Med Virol 2023; 95:e28470. [PMID: 36606602 DOI: 10.1002/jmv.28470] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/27/2022] [Accepted: 12/25/2022] [Indexed: 01/07/2023]
Abstract
Due to the COVID-19 pandemic, a series of sequelae, such as fatigue, tachypnea, and ageusia, appeared in long COVID patients, but the pathological basis was still uncertain. The targeted radiopharmaceuticals were of potential to systemically and dynamically trace the pathological changes. For the key ACE2 protein in the virus-host interaction, 68 Ga-cyc-DX600 was developed on the basis of DX600 as a PET tracer of ACE2 fluctuation and maintained the ability in differentiating ACE and ACE2. In the temporary infection model inhaled with the radio-traceable pseudovirus in the upper respiratory tract of male humanized ACE2 (hACE2) mice, organ-specific ACE2 dysfunction in acute period and the following ACE2 recovery in a relatively long period was visualized and quantified by ACE2 PET, revealing a complex pattern of virus concentration-dependent degree and time period-dependent tendency of ACE2 recovery, mainly a sudden decrease of apparent ACE2 in the heart, liver, kidneys, lungs, and so on, but the liver was of a quick functional compensation on ACE2 expression after a temporary decrease. ACE2 expression of most organs has recovered to a normal level at 15 days post inhalation, with brain and genitals still of a decreased SUVACE2 ; meanwhile, kidneys were of an increased SUVACE2 . These findings on ACE2 PET were further verified by western blot. When compared with high-resolution computed tomography on structural changes and FDG PET on glycometabolism, ACE2 PET was superior in an earlier diagnostic window during infection and more comprehensive understanding of functional dysfunction post-infection. In the respective ACE2 PET/CT and ACE2 PET/MR scans of a volunteer, the repeatability of SUVACE2 and the ACE2 specificity were further confirmed. In conclusion, 68 Ga-cyc-DX600 was developed as an ACE2-specific tracer, and the corresponding ACE2 PET revealed the dynamic patterns of functional ACE2 recovery and provided a reference and approach to explore the ACE2-related pathological basis of sequelae in long COVID.
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Affiliation(s)
- Xiao Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China.,University of Chinese Academy of Sciences, Beijing, China.,Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Wei Yin
- Department of Radiology, Shanghai Changhai Hospital, Shanghai, China
| | - Ao Li
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Danni Li
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Xiaolong Gao
- Department of Radiology, Luodian Hospital, Baoshan District, Shanghai, China
| | - Ruizhi Wang
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Bin Cui
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Shuang Qiu
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Rou Li
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Lina Jia
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Changjing Zuo
- Department of Nuclear Medicine, Shanghai Changhai Hospital, Shanghai, China
| | - Lan Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Ming Li
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
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6
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Chandekar KR, Satapathy S, Singh H, Bhattacharya A. Molecular imaging as a tool for evaluation of COVID-19 sequelae – A review of literature. World J Radiol 2022; 14:194-208. [PMID: 36160629 PMCID: PMC9350609 DOI: 10.4329/wjr.v14.i7.194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/17/2022] [Accepted: 07/11/2022] [Indexed: 02/06/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is caused by the novel viral pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 primarily involves the lungs. Nucleic acid testing based on reverse-transcription polymerase chain reaction of respiratory samples is the current gold standard for the diagnosis of SARS-CoV-2 infection. Imaging modalities have an established role in triaging, diagnosis, evaluation of disease severity, monitoring disease progression, extra-pulmonary involvement, and complications. As our understanding of the disease improves, there has been substantial evidence to highlight its potential for multi-systemic involvement and development of long-term sequelae. Molecular imaging techniques are highly sensitive, allowing non-invasive visualization of physiological or pathological processes at a cellular or molecular level with potential for detection of functional changes earlier than conventional radiological imaging. The purpose of this review article is to highlight the evolving role of molecular imaging in evaluation of COVID-19 sequelae. Though not ideal for diagnosis, the various modalities of molecular imaging play an important role in assessing pulmonary and extra-pulmonary sequelae of COVID-19. Perfusion imaging using single photon emission computed tomography fused with computed tomography (CT) can be utilized as a first-line imaging modality for COVID-19 related pulmonary embolism. 18F-fluorodeoxyglucose positron emission tomography (PET)/CT is a sensitive tool to detect multi-systemic inflammation, including myocardial and vascular inflammation. PET in conjunction with magnetic resonance imaging helps in better characterization of neurological sequelae of COVID-19. Despite the fact that the majority of published literature is retrospective in nature with limited sample sizes, it is clear that molecular imaging provides additional valuable information (complimentary to anatomical imaging) with semi-quantitative or quantitative parameters to define inflammatory burden and can be used to guide therapeutic strategies and assess response. However, widespread clinical applicability remains a challenge owing to longer image acquisition times and the need for adoption of infection control protocols.
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Affiliation(s)
- Kunal R Chandekar
- Department of Nuclear Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Swayamjeet Satapathy
- Department of Nuclear Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Harmandeep Singh
- Department of Nuclear Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Anish Bhattacharya
- Department of Nuclear Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, India
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Liu S, Li G, Ding L, Ding J, Zhang Q, Li D, Hou X, Kong X, Zou J, Zhang S, Han H, Wan Y, Yang Z, Zhu H. Evaluation of SARS-CoV-2-Neutralizing Nanobody Using Virus Receptor Binding Domain-Administered Model Mice. RESEARCH (WASHINGTON, D.C.) 2022; 2022:9864089. [PMID: 35958110 PMCID: PMC9343077 DOI: 10.34133/2022/9864089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/21/2022] [Indexed: 11/06/2022]
Abstract
Due to the rapid spread of coronavirus disease 2019 (COVID-19), there is an urgent requirement for the development of additional diagnostic tools for further analysis of the disease. The isolated nanobody Nb11-59 binds to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor-binding domain (RBD) with high affinity to neutralize the virus and block the angiotensin-converting enzyme 2- (ACE2-) RBD interaction. Here, we introduce a novel nanobody-based radiotracer named 68Ga-Nb1159. The radiotracer retained high affinity for the RBD and showed reliable radiochemical characteristics both in vitro and in vivo. Preclinical positron emission tomography (PET) studies of 68Ga-Nb1159 in mice revealed its rapid clearance from circulation and robust uptake into the renal and urinary systems. Fortunately, 68Ga-Nb1159 could specifically reveal the distribution of the RBD in mice. This study also helped to evaluate the pharmacodynamic effects of the neutralizing nanobody. Moreover, 68Ga-Nb1159 may be a promising tool to explore the distribution of the RBD and improve the understanding of the virus. In particular, this study identified a novel molecular radioagent and established a reliable evaluation method for specifically investigating the RBD through noninvasive and visual PET technology.
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Affiliation(s)
- Song Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong 518055, China
| | - Guanghui Li
- Shanghai Novamab Biopharmaceuticals Co., Ltd., Shanghai, China
| | - Lei Ding
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Anesthesiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jin Ding
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Qian Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Dan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xingguo Hou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiangxing Kong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jing Zou
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Beijing Key Laboratory of Magnetic Resonance Imaging Devices and Technology, Peking University Third Hospital, Beijing 100191, China
| | - Shiming Zhang
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Beijing Key Laboratory of Magnetic Resonance Imaging Devices and Technology, Peking University Third Hospital, Beijing 100191, China
| | - Hongbin Han
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
- Beijing Key Laboratory of Magnetic Resonance Imaging Devices and Technology, Peking University Third Hospital, Beijing 100191, China
- Department of Radiology, Peking University Third Hospital, Peking University, Beijing 100191, China
| | - Yakun Wan
- Shanghai Novamab Biopharmaceuticals Co., Ltd., Shanghai, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong 518055, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing 100142, China
- Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong 518055, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
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Rabiee B, Eibschutz LS, Asadollahi S, Gupta A, Akhlaghpoor S, Gholamrezanezhad A. The role of imaging techniques in understanding and evaluating the long-term pulmonary effects of COVID-19. Expert Rev Respir Med 2021; 15:1525-1537. [PMID: 34730039 DOI: 10.1080/17476348.2021.2001330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Limited data exist regarding the long-term pulmonary sequelae of COVID-19. Identifying features utilizing multiple imaging modalities engenders a clearer picture of the illness's long-term consequences. AREAS COVERED This review encompasses the common pulmonary findings associated with different imaging modalities during acute and late remission stages of COVID-19 pneumonia. EXPERT OPINION Chest x-ray, a common preliminary diagnostic imaging technique, is not optimal for extended care due to limited tissue contrast resolution providing suboptimal assessment of pulmonary pathology and subtle interval changes. Ultrasound may be utilized on a case-by-case basis in certain patient populations, or in countries with limited resources. Chest CT's accessibility, high tissue contrast and spatial resolution make it the foremost modality for long-term COVID-19 follow-up. While MRI can viably monitor extrapulmonary disease due to its lack of radiation and high inherent soft-tissue contrast, it has limited pulmonary utility due to motion artifact and alveolar gas decreasing lung signal. Although 18F-FDG-PET/CT is costly and has limited specificity, it can provide molecular level data and inflammation quantification. Lung perfusion scintigraphy may also explain COVID-19 induced thromboembolic events and persistent dyspnea despite normal structural imaging and testing results. Correlating the long-term pulmonary findings of COVID-19 with each imaging modality is essential in elucidating the post-recovery course.
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Affiliation(s)
- Behnam Rabiee
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.,Trinity Health Mid-Atlantic Nazareth Hospital, Philadelphia, PA, USA
| | - Liesl S Eibschutz
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA
| | - Shadi Asadollahi
- Division of Neuroradiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Amit Gupta
- Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Shahram Akhlaghpoor
- Department of Interventional Radiology, Pardis Noor Medical Center, Tehran, Iran
| | - Ali Gholamrezanezhad
- Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA
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9
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Rivera-Sotelo N, Vargas-Del-Angel RG, Ternovoy SK, Roldan-Valadez E. Global research trends in COVID-19 with MRI and PET/CT: a scoping review with bibliometric and network analyses. Clin Transl Imaging 2021; 9:625-639. [PMID: 34414137 PMCID: PMC8364406 DOI: 10.1007/s40336-021-00460-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/04/2021] [Indexed: 02/05/2023]
Abstract
Objective To identify and evaluate the indexed studies that allow us to understand the implications of imaging studies in MRI and PET/CT related to COVID-19 research. Methods Scoping review. Articles in PubMed, Scopus, and Web of Science (WoS) were scanned from 2019 to 2021 with COVID-19, MRI, and PET-CT as keywords. EndNote software and manual checking removed the duplicated references. Our assessment includes citation, bibliometric, keyword network, and statistical analyses using descriptive statistics and correlations. Highlighted variables were publication year, country, journals, and authorship. Results Only 326 papers were included. The most cited article reached 669 cites; this number represented 21.71% of 3081 citations. The top-15 cited authors received 1787 citations, which represented 58% of the total cites. These authors had affiliations from ten countries (Belgium, China, France, Italy, Japan, Spain, Sweden, Turkey, United Kingdom (UK), and the USA). The top-30 journals were cited 2762 times, representing 89.65% of the total cites. Only five journals were cited more than 100 times; Int J Infect Dis had the most significant number of citations (674). Some of the unexpected keywords were encephalitis, stroke, microbleeds, myocarditis. Conclusion COVID-19 pandemic is still spreading worldwide, and the knowledge about its different facets continues advancing. MRI and PET/CT are being used in more than 50% of the selected studies; research trends span seven categories, no only the diagnostic but others like socio-economic impact and pathogenesis Developed countries had an advantage by having hospitals with more resources, including MRI and PET/CT facilities in the same institution to supplement basic assessment in patients with COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s40336-021-00460-x.
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Affiliation(s)
- Nathaly Rivera-Sotelo
- Directorate of Research, Hospital General de Mexico "Dr Eduardo Liceaga", 06720 Mexico City, Mexico
| | | | - Sergey K Ternovoy
- Department of Radiology, A.L. Myasnikov Research Institute of Clinical Cardiology of National Medical Research Center, Moscow, Russia.,Department of Radiology, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
| | - Ernesto Roldan-Valadez
- Directorate of Research, Hospital General de Mexico "Dr Eduardo Liceaga", 06720 Mexico City, Mexico.,Department of Radiology, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
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10
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Abstract
Soon after reports of a novel coronavirus capable of causing severe pneumonia surfaced in late 2019, expeditious global spread of the Severe Acute Respiratory Distress Syndrome Coronavirus 2 (SARS-CoV-2) forced the World Health Organization to declare an international state of emergency. Although best known for causing symptoms of upper respiratory tract infection in mild cases and fulminant pneumonia in severe disease, Coronavirus Disease 2019 (COVID-19) has also been associated with gastrointestinal, neurologic, cardiac, and hematologic presentations. Despite concerns over poor specificity and undue radiation exposure, chest imaging nonetheless remains central to the initial diagnosis and monitoring of COVID-19 progression, as well as to the evaluation of complications. Classic features on chest CT include ground-glass and reticular opacities with or without superimposed consolidations, frequently presenting in a bilateral, peripheral, and posterior distribution. More recently, studies conducted with MRI have shown excellent concordance with chest CT in visualizing typical features of COVID-19 pneumonia. For patients in whom exposure to ionizing radiation should be avoided, particularly pregnant patients and children, pulmonary MRI may represent a suitable alternative to chest CT. Although PET imaging is not typically considered among first-line investigative modalities for the diagnosis of lower respiratory tract infections, numerous reports have noted incidental localization of radiotracer in parenchymal regions of COVID-19-associated pulmonary lesions. These findings are consistent with data from Middle East Respiratory Syndrome-CoV cohorts which suggested an ability for 18F-FDG PET to detect subclinical infection and lymphadenitis in subjects without overt clinical signs of infection. Though highly sensitive, use of PET/CT for primary detection of COVID-19 is constrained by poor specificity, as well as considerations of cost, radiation burden, and prolonged exposure times for imaging staff. Even still, decontamination of scanner bays is a time-consuming process, and proper ventilation of scanner suites may additionally require up to an hour of downtime to allow for sufficient air exchange. Yet, in patients who require nuclear medicine investigations for other clinical indications, PET imaging may yield the earliest detection of nascent infection in otherwise asymptomatic individuals. Especially for patients with concomitant malignancies and other states of immunocompromise, prompt recognition of infection and early initiation of supportive care is crucial to maximizing outcomes and improving survivability.
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Key Words
- sars-cov, severe acute respiratory syndrome coronavirus
- covid-19, coronavirus disease 2019
- ct, computed tomography
- mri, magnetic resonance imaging
- pet, positron emission tomography
- ggo, ground-glass opacity
- rt-pcr, reverse transcription polymerase chain reaction
- 18f-fdg, 18f-labelled fluorodeoxyglucose
- suvmax, maximum standardized uptake
- mip, maximum intensity projection
- 68ga-psma, 68ga-labelled prostate-specific membrane antigen
- 18f-choline, 18f-labelled choline
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Affiliation(s)
- Brandon K K Fields
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America
| | - Natalie L Demirjian
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America; Department of Integrative Anatomical Sciences, University of Southern California, Los Angeles, CA 90033, United States of America
| | - Habibollah Dadgar
- Razavi Cancer Research Center, RAZAVI Hospital, Imam Reza International University, Mashhad, Iran
| | - Ali Gholamrezanezhad
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, United States of America; Department of Radiology, University of Southern California, Los Angeles, CA 90033, United States of America.
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11
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Ramdani H, Allali N, Chat L, El Haddad S. Covid-19 imaging: A narrative review. Ann Med Surg (Lond) 2021; 69:102489. [PMID: 34178312 PMCID: PMC8214462 DOI: 10.1016/j.amsu.2021.102489] [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] [Received: 04/20/2021] [Revised: 05/31/2021] [Accepted: 06/05/2021] [Indexed: 01/08/2023] Open
Abstract
Background The 2019 novel coronavirus disease (COVID-19) imaging data is dispersed in numerous publications. A cohesive literature review is to be assembled. Objective To summarize the existing literature on Covid-19 pneumonia imaging including precautionary measures for radiology departments, Chest CT's role in diagnosis and management, imaging findings of Covid-19 patients including children and pregnant women, artificial intelligence applications and practical recommendations. Methods A systematic literature search of PubMed/med line electronic databases. Results The radiology department's staff is on the front line of the novel coronavirus outbreak. Strict adherence to precautionary measures is the main defense against infection's spread. Although nucleic acid testing is Covid-19's pneumonia diagnosis gold standard; kits shortage and low sensitivity led to the implementation of the highly sensitive chest computed tomography amidst initial diagnostic tools. Initial Covid-19 CT features comprise bilateral, peripheral or posterior, multilobar ground-glass opacities, predominantly in the lower lobes. Consolidations superimposed on ground-glass opacifications are found in few cases, preponderantly in the elderly. In later disease stages, GGO transformation into multifocal consolidations, thickened interlobular and intralobular lines, crazy paving, traction bronchiectasis, pleural thickening, and subpleural bands are reported. Standardized CT reporting is recommended to guide radiologists. While lung ultrasound, pulmonary MRI, and PET CT are not Covid-19 pneumonia's first-line investigative diagnostic modalities, their characteristic findings and clinical value are outlined. Artificial intelligence's role in strengthening available imaging tools is discussed. Conclusion This review offers an exhaustive analysis of the current literature on imaging role and findings in COVID-19 pneumonia. Chest computed tomography is a highly sensitive Covid −19 pneumonia's diagnostic tool. Initial Covid-19 CT features are bilateral, multifocal, peripheral or posterior ground-glass opacities, mainly in the lower lobes. Multifocal consolidations, bronchiectasis, pleural thickening, and subpleural bands are late disease stages features. Standardized CT reporting is recommended to guide radiologists. Artificial intelligence could strengthen available imaging tools.
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Affiliation(s)
- Hanae Ramdani
- Radiology Department, Childrens' Hospital - Ibn Sina University Hospital-Rabat, Lamfadel Cherkaoui Street, 10010, Rabat, Morocco
| | - Nazik Allali
- Radiology Department, Childrens' Hospital - Ibn Sina University Hospital-Rabat, Lamfadel Cherkaoui Street, 10010, Rabat, Morocco
| | - Latifa Chat
- Radiology Department, Childrens' Hospital - Ibn Sina University Hospital-Rabat, Lamfadel Cherkaoui Street, 10010, Rabat, Morocco
| | - Siham El Haddad
- Radiology Department, Childrens' Hospital - Ibn Sina University Hospital-Rabat, Lamfadel Cherkaoui Street, 10010, Rabat, Morocco
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12
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The critical role of FDG-PET/CT imaging in assessing systemic manifestations of COVID-19 infection. Eur J Nucl Med Mol Imaging 2021; 48:956-962. [PMID: 33416953 PMCID: PMC7791152 DOI: 10.1007/s00259-020-05148-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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13
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Katal S, Gholamrezanezhad A. Neuroimaging findings in COVID-19: A narrative review. Neurosci Lett 2021; 742:135529. [PMID: 33248161 PMCID: PMC7686796 DOI: 10.1016/j.neulet.2020.135529] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 01/24/2023]
Abstract
In this mini-review, we aim to summarize some of the most common neuroimaging findings seen in patients with COVID-19.
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Affiliation(s)
- Sanaz Katal
- Nuclear Medicine Department, Tehran University of Medical Sciences, Iran.
| | - Ali Gholamrezanezhad
- Keck School of Medicine, University of Southern California (USC), Los Angles, CA, USA; Department of Diagnostic Radiology, Keck School of Medicine, University of Southern California (USC), 1520 San Pablo Street, Los Angeles, CA, USA.
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