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Piskac Zivkovic N, Mutvar A, Kuster D, Lucijanic M, Ljilja Posavec A, Cvetkovic Kucic D, Lalic K, Vergles M, Udovicic M, Barsic B, Rudan D, Luksic I, Lang IM, Skoro-Sajer N. Longitudinal analysis of chest Q-SPECT/CT in patients with severe COVID-19. Respir Med 2023; 220:107461. [PMID: 37951314 DOI: 10.1016/j.rmed.2023.107461] [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: 02/07/2023] [Revised: 11/04/2023] [Accepted: 11/05/2023] [Indexed: 11/13/2023]
Abstract
INTRODUCTION Patients with COVID-19 have an increased risk for microvascular lung thrombosis. In order to evaluate the type and prevalence of perfusion defects, we performed a longitudinal analysis of combined perfusion single-photon emission and low-dose computed tomography (Q-SPECT/CT scan) in patients with COVID-19 pneumonia. METHODS Consecutive patients with severe COVID-19 (B.1.1.7 variant SARS-CoV-2) and respiratory insufficiency underwent chest Q-SPECT/CT during hospitalization, and 3 months after discharge. At follow-up (FU), Q-SPECT/CT were analyzed and compared with pulmonary function tests (PFT), blood analysis (CRP, D-dimers, ferritin), modified Medical Research Council (mMRC) dyspnea scale, and high-resolution CT scans (HRCT). Patients with one or more segmental perfusion defects outside the area of inflammation (PDOI) were treated with anticoagulation until FU. RESULTS At baseline, PDOI were found in 50 of 105 patients (47.6 %). At FU, Q-SPECT/CT scans had improved significantly (p < 0.001) and PDOI were recorded in 14 of 77 (18.2 %) patients. There was a significant correlation between mMRC score and the number of segmental perfusion defects (r = 0.511, p < 0.001), and a weaker correlation with DLCO (r = -0.333, p = 0.002) and KCO (r = -0.373, p = 0.001) at FU. Neither corticosteroid therapy nor HRCT results showed an influence on Q-SPECT/CT changes (p = 0.94, p = 0.74). CRP, D-Dimers and ferritin improved but did not show any association with the FU Q-SPECT/CT results (p = 0.08). CONCLUSION Segmental mismatched perfusion defects are common in severe COVID-19 and are correlated with the degree of dyspnea. Longitudinal analyses of Q-SPECT/CT scans in severe COVID-19 may help understand possible mechanisms of long COVID and prolonged dyspnea.
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Affiliation(s)
| | - Andrea Mutvar
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Dinka Kuster
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Marko Lucijanic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Anja Ljilja Posavec
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Daria Cvetkovic Kucic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Kristina Lalic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Mirna Vergles
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Mario Udovicic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Bruno Barsic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Diana Rudan
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Ivica Luksic
- Primary Respiratory-Intensive Care Center, Dubrava University Hospital, Zagreb, Croatia
| | - Irene Marthe Lang
- Division of Cardiology, Department of Internal Medicine II, Vienna General Hospital, Medical University of Vienna, Austria
| | - Nika Skoro-Sajer
- Division of Cardiology, Department of Internal Medicine II, Vienna General Hospital, Medical University of Vienna, Austria.
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van Genugten EAJ, van Lith TJ, van den Heuvel FMA, van Steenis JL, Ten Heggeler RM, Brink M, Rodwell L, Meijer FJA, Lobeek D, Hagmolen Of Ten Have W, van de Veerdonk FL, Netea MG, Prokop M, Nijveldt R, Tuladhar AM, Aarntzen EHJG. Gallium-68 labelled RGD PET/CT imaging of endothelial activation in COVID-19 patients. Sci Rep 2023; 13:11507. [PMID: 37460572 DOI: 10.1038/s41598-023-37390-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 06/21/2023] [Indexed: 07/20/2023] Open
Abstract
In coronavirus disease 2019 (COVID-19), endothelial cells play a central role and an inadequate response is associated with vascular complications. PET imaging with gallium-68 labelled RGD-peptide (68Ga-RGD) targets αvβ3 integrin expression which allows quantification of endothelial activation. In this single-center, prospective observational study, we included ten hospitalized patients with COVID-19 between October 2020 and January 2021. Patients underwent 68Ga-RGD PET/CT followed by iodine mapping of lung parenchyma. CT-based segmentation of lung parenchyma, carotid arteries and myocardium was used to quantify tracer uptake by calculating standardized uptake values (SUV). Five non-COVID-19 patients were used as reference. The study population was 68.5 (IQR 52.0-74.5) years old, with median oxygen need of 3 l/min (IQR 0.9-4.0). 68Ga-RGD uptake quantified as SUV ± SD was increased in lungs (0.99 ± 0.32 vs. 0.45 ± 0.18, p < 0.01) and myocardium (3.44 ± 1.59 vs. 0.65 ± 0.22, p < 0.01) of COVID-19 patients compared to reference but not in the carotid arteries. Iodine maps showed local variations in parenchymal perfusion but no correlation with SUV. In conclusion, using 68Ga-RGD PET/CT in COVID-19 patients admitted with respiratory symptoms, we demonstrated increased endothelial activation in the lung parenchyma and myocardium. Our findings indicate the involvement of increased and localized endothelial cell activation in the cardiopulmonary system in COVID-19 patients.Trail registration: NCT04596943.
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Affiliation(s)
- Evelien A J van Genugten
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
| | - Theresa J van Lith
- Department of Neurology, Donders Center for Medical Neurosciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Josee L van Steenis
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
- Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Romy M Ten Heggeler
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
- Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Monique Brink
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
| | - Laura Rodwell
- Department of Health Evidence, Section Biostatistics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frederick J A Meijer
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
| | - Daphne Lobeek
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
| | | | - Frank L van de Veerdonk
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mihai G Netea
- Department of Respiratory Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Immunology and Metabolism, Life and Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Mathias Prokop
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anil M Tuladhar
- Department of Neurology, Donders Center for Medical Neurosciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Erik H J G Aarntzen
- Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525GA, Nijmegen, The Netherlands.
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Al-Saeedi F, Rajendran P, Tipre D, Aladwani H, Alenezi S, Alqabandi M, Alkhamis A, Redha A, Mohammad A, Ahmad F, Abdulnabi Y, Alfadhly A, Alrasheedi D. The effect of COVID-19 on nuclear medicine and radiopharmacy activities: A global survey. Sci Rep 2023; 13:10489. [PMID: 37380735 PMCID: PMC10307835 DOI: 10.1038/s41598-023-36925-4] [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: 12/23/2022] [Accepted: 06/12/2023] [Indexed: 06/30/2023] Open
Abstract
Globally, COVID-19 affected radiopharmaceutical laboratories. This study sought to determine the economic, service, and research impacts of COVID-19 on radiopharmacy. This online survey was conducted with the participation of employees from nuclear medicine and radiopharmaceutical companies. The socioeconomic status of the individuals was collected. The study was participated by 145 medical professionals from 25 different countries. From this work, it is evident that 2-deoxy-2-[18F]fluoro-D-glucose (2-[18F]FDG), and 99mTc-labeled macro aggregated albumin 99mTc-MAA were necessary radiopharmaceuticals used by 57% (83/145and 34% (49/145;) respondents, respectively for determining how COVID infections affect a patient's body. The normal scheduling procedure for the radiopharmacy laboratory was reduced by more than half (65%; 94/145). In COVID-19, 70% (102/145) of respondents followed the regulations established by the local departments. Throughout the pandemic, there was a 97% (141/145) decrease in all staffing recruitment efforts. The field of nuclear medicine research, as well as the radiopharmaceutical industry, were both adversely affected by COVID-19.
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Affiliation(s)
- Fatma Al-Saeedi
- The Department of Nuclear Medicine, College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait.
| | - Peramaiyan Rajendran
- Department of Biological Sciences, College of Science, King Faisal University, AlAhsa, Saudi Arabia
- Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, 600 077, Tamil Nadu, India
| | - Dnyanesh Tipre
- Translational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California, USA
| | - Hassan Aladwani
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Salem Alenezi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Maryam Alqabandi
- The Department of Nuclear Medicine, College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Abdullah Alkhamis
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Abdulmohsen Redha
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Ahmed Mohammad
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Fahad Ahmad
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Yaaqoup Abdulnabi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Altaf Alfadhly
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
| | - Danah Alrasheedi
- College of Medicine, Kuwait University, P.O. box: 24923, 13110, Safat, Kuwait
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Rahmanipour E, Ghorbani M, Sadeghi R, Sadraei N, Borhani A, Mohammadi S, Karamian F. Diagnostic importance of lung perfusion/ventilation scans in the evaluation of pulmonary embolism in COVID-19 patients: systematic review of the literature. Nucl Med Commun 2023; 44:178-186. [PMID: 36728902 DOI: 10.1097/mnm.0000000000001655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate the outcomes of ventilation/perfusion scintigraphy on the diagnosis of pulmonary embolism in coronavirus disease 2019 (COVID-19) patients, we performed a systematic review of the available literature. MATERIALS AND METHODS PubMed and Scopus were systematically searched up to 4 June 2022, for relevant studies. We included studies on patients with COVID-19 who have performed ventilation/perfusion scintigraphy for diagnosis of pulmonary embolism to describe any diagnosis outcome. Irrelevant and non-English articles were excluded. RESULTS Overall, 27 articles were included in our review. The database search yielded studies from PubMed, Scopus, and studies identified through reviewing the reference list of included studies. Extracted information from the included studies could be categorized into several aspects: Diagnosis of pulmonary embolism with Q single-photon emission computed tomography (SPECT) CT, Tracheobronchial uptake, Diagnostic value of V/Q rather than Q at diagnosis pulmonary embolism, Different characteristics (morphological alterations) of COVID-19 in ventilation orperfusion scan, the prevalence of pulmonary embolism with Q or V/Q criteria, and Design of radiotherapy planning in lung cancer patients with COVID-19. CONCLUSION Different perfusion patterns in COVID-19 are challenging but can be alleviated by adding SPECT/computed tomography (CT) to lung perfusion scans. Although perfusion only SPECT/CT can rule out or rule in others in considerable number of patients, ventilation scan is still needed in certain patients.
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Affiliation(s)
- Elham Rahmanipour
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad
| | - Mohammad Ghorbani
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad
| | - Ramin Sadeghi
- Department of Nuclear Medicine, School of Medicine, Nuclear Medicine Research Center, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad
| | - Nazanin Sadraei
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ali Borhani
- Russell H. Morgan Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins University, Baltimore, USA
| | - Sammy Mohammadi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran
| | - Farivash Karamian
- Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
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Tipre DN, Cidon M, Moats RA. Imaging Pulmonary Blood Vessels and Ventilation-Perfusion Mismatch in COVID-19. Mol Imaging Biol 2022; 24:526-536. [PMID: 35041149 PMCID: PMC8764889 DOI: 10.1007/s11307-021-01700-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 12/16/2022]
Abstract
COVID-19 hypoxemic patients although sharing a same etiology (SARS-CoV-2 infection) present themselves quite differently from one another. Patients also respond differently to prescribed medicine and to prone Vs supine bed positions. A severe pulmonary ventilation-perfusion mismatch usually triggers moderate to severe COVID-19 cases. Imaging can aid the physician in assessing severity of COVID-19. Although useful for their portability X-ray and ultrasound serving on the frontline to evaluate lung parenchymal abnormalities are unable to provide information about pulmonary vasculature and blood flow redistribution which is a consequence of hypoxemia in COVID-19. Advanced imaging modalities such as computed tomography, single-photon emission tomography, and electrical impedance tomography use a sharp algorithm visualizing pulmonary ventilation-perfusion mismatch in the abnormal and in the apparently normal parenchyma. Imaging helps to access the severity of infection, lung performance, ventilation-perfusion mismatch, and informs strategies for medical treatment. This review summarizes the capacity of these imaging modalities to assess ventilation-perfusion mismatch in COVID-19. Despite having limitations, these modalities provide vital information on blood volume distribution, pulmonary embolism, pulmonary vasculature and are useful to assess severity of lung disease and effectiveness of treatment in COVID-19 patients.
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Affiliation(s)
- Dnyanesh N Tipre
- Translational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, The Saban Research Institute, 4650 Sunset Blvd Rm 305, Los Angeles, CA, USA.
| | - Michal Cidon
- Department of Rheumatology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Rex A Moats
- Translational Biomedical Imaging Laboratory, Department of Radiology, Children's Hospital Los Angeles, The Saban Research Institute, 4650 Sunset Blvd Rm 305, Los Angeles, CA, USA
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Investigation of the ongoing pulmonary defects with perfusion-single photon emission computed tomography/computed tomography in patients under anticoagulant therapy for coronavirus disease 2019–induced pulmonary embolism. Nucl Med Commun 2022; 43:978-986. [DOI: 10.1097/mnm.0000000000001595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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7
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Sayman HB, Toplutas KN, Tunick J, Aras O. 99mTc-Vitamin C SPECT/CT imaging in SARS-CoV-2 associated pneumonia. NUCLEAR MEDICINE REVIEW 2022; 25:127-128. [PMID: 35699590 PMCID: PMC9878461 DOI: 10.5603/nmr.a2022.0026] [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: 09/05/2021] [Accepted: 04/01/2022] [Indexed: 01/28/2023] Open
Abstract
We present the first 99mTc-Vitamin C single-photon emission computed tomography/computed tomography (SPECT/CT) images obtained in patients with SARS-CoV-2 (COVID-19) infection. The CT portion of SPECT/CT images showed mostly peripheral patchy and ground-glass opacities in both lungs, which are consistent with a diagnosis of SARS-CoV-2-associated pneumonia in both patients. 99mTc-Vitamin C SPECT images showed increased tracer uptake corresponding to abnormal lung findings seen on CT in patient 1 who was newly diagnosed and treatment naïve. However, no abnormal uptake corresponding to lung CT findings was seen in patient 2 who received anti-SARS-CoV-2 treatment.
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Affiliation(s)
- Haluk B Sayman
- Department of Nuclear Medicine, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey,Corresponding Authors: Omer Aras, MD, Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, Suite 1511, New York, NY USA 10065, T 646.888.4690 F 646.888.4915, or ; Haluk Burcak Sayman, M.D., Department of Nuclear Medicine, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey, T +905424330828,
| | - Kubra Nur Toplutas
- Department of Nuclear Medicine, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey
| | | | - Omer Aras
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA,Corresponding Authors: Omer Aras, MD, Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, Suite 1511, New York, NY USA 10065, T 646.888.4690 F 646.888.4915, or ; Haluk Burcak Sayman, M.D., Department of Nuclear Medicine, Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty, Fatih, Istanbul, Turkey, T +905424330828,
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Afshar-Oromieh A, Prosch H, Schaefer-Prokop C, Bohn KP, Alberts I, Mingels C, Thurnher M, Cumming P, Shi K, Peters A, Geleff S, Lan X, Wang F, Huber A, Gräni C, Heverhagen JT, Rominger A, Fontanellaz M, Schöder H, Christe A, Mougiakakou S, Ebner L. A comprehensive review of imaging findings in COVID-19 - status in early 2021. Eur J Nucl Med Mol Imaging 2021; 48:2500-2524. [PMID: 33932183 PMCID: PMC8087891 DOI: 10.1007/s00259-021-05375-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 03/09/2021] [Indexed: 02/06/2023]
Abstract
Medical imaging methods are assuming a greater role in the workup of patients with COVID-19, mainly in relation to the primary manifestation of pulmonary disease and the tissue distribution of the angiotensin-converting-enzyme 2 (ACE 2) receptor. However, the field is so new that no consensus view has emerged guiding clinical decisions to employ imaging procedures such as radiography, computer tomography (CT), positron emission tomography (PET), and magnetic resonance imaging, and in what measure the risk of exposure of staff to possible infection could be justified by the knowledge gained. The insensitivity of current RT-PCR methods for positive diagnosis is part of the rationale for resorting to imaging procedures. While CT is more sensitive than genetic testing in hospitalized patients, positive findings of ground glass opacities depend on the disease stage. There is sparse reporting on PET/CT with [18F]-FDG in COVID-19, but available results are congruent with the earlier literature on viral pneumonias. There is a high incidence of cerebral findings in COVID-19, and likewise evidence of gastrointestinal involvement. Artificial intelligence, notably machine learning is emerging as an effective method for diagnostic image analysis, with performance in the discriminative diagnosis of diagnosis of COVID-19 pneumonia comparable to that of human practitioners.
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Affiliation(s)
- Ali Afshar-Oromieh
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland.
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria
| | - Cornelia Schaefer-Prokop
- Department of Radiology, Meander Medical Center, Amersfoort, Netherlands
- Department of Medical Imaging, Radboud University, Nijmegen, Netherlands
| | - Karl Peter Bohn
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
| | - Ian Alberts
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
| | - Clemens Mingels
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
| | - Majda Thurnher
- Department of Biomedical Imaging and Image-guided Therapy, Medical University Vienna, Vienna, Austria
| | - Paul Cumming
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Australia
| | - Kuangyu Shi
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
| | - Alan Peters
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Silvana Geleff
- Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Adrian Huber
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Gräni
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Johannes T Heverhagen
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Axel Rominger
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, University of Bern, Freiburgstr. 18, CH-3010, Bern, Switzerland
| | - Matthias Fontanellaz
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
- Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Heiko Schöder
- Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andreas Christe
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stavroula Mougiakakou
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Lukas Ebner
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
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Investigation of perfusion defects by Q-SPECT/CT in patients with mild-to-moderate course of COVID-19 and low clinical probability for pulmonary embolism. Ann Nucl Med 2021; 35:1117-1125. [PMID: 34173212 PMCID: PMC8231747 DOI: 10.1007/s12149-021-01647-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 06/17/2021] [Indexed: 01/21/2023]
Abstract
Objective Pulmonary embolism is a severe source of mortality and morbidity in patients with severe and critical coronavirus disease 2019. It is not yet clear whether the tendency to thrombosis is increased in the mild-to-moderate course of COVID-19. Our research aims to show the clinical benefit of Q-SPECT/CT in diagnosing PD in outpatients treated with mild-to-moderate course of COVID-19 and to determine the frequency of perfusion defects in these patients having relatively lower risk. Methods All patients who underwent Q-SPECT/CT with suspicion of embolism were examined retrospectively. Only patients with low clinical probability and mild-to-moderate course of COVID-19 for PE were included in the study. The patients were evaluated comparatively as those with and without perfusion defects. Patients were divided into laboratory suspicion, clinical suspicion, or clinical and laboratory suspicion. Results In outpatients with mild-to-moderate COVID-19 with low clinical probability for PE, PD without CT abnormality was detected with a rate of 36.6% with Q-SPECT/CT performed for complaints of high d-dimer and/or dyspnea. None of the patients had PD at more proximal level than the segment level. PD with no concomitant CT abnormality was observed with a rate of 56.5% in patients with both clinical and laboratory suspicion. For d-dimer = 0.5 mg/dL cut-off sensitivity is 85%, for d-dimer = 1.5 mg/dL cut-off specificity 81%. Conclusion Thrombosis tendency is also present in outpatients with mild-to-moderate COVID-19, and these patients should also be offered anticoagulant prophylaxis during the COVID-19 period.
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Das JP, Yeh R, Schöder H. Clinical utility of perfusion (Q)-single-photon emission computed tomography (SPECT)/CT for diagnosing pulmonary embolus (PE) in COVID-19 patients with a moderate to high pre-test probability of PE. Eur J Nucl Med Mol Imaging 2020; 48:794-799. [PMID: 32959115 PMCID: PMC7505736 DOI: 10.1007/s00259-020-05043-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/14/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE We reviewed the clinical utility of perfusion (Q)-single-photon emission computed tomography (SPECT)/CT for diagnosing pulmonary embolus (PE) in patients hospitalized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). METHODS Following the World Health Organization's declaration of a global pandemic, our department policy recommended Q-only SPECT/CT for all patients undergoing nuclear medicine evaluation for suspected PE to reduce the risk of aerosolization of respiratory droplets. We performed a retrospective review of sequential patients admitted with COVID-19 imaged with Q-SPECT/CT between March 17, 2020, and June 30, 2020, at Memorial Sloan Kettering Cancer Center. We recorded patient demographics, clinical symptoms, Wells score (to stratify patients according to pre-test probability for PE prior to Q-SPECT/CT), and noted ancillary imaging findings on CT. RESULTS Of the 33 patients imaged with Q-SPECT/CT, 6 patients (3 men, 3 women) had a laboratory confirmed diagnosis of COVID-19 (mean age, 55, ± 11.4 years, range 33-68). All patients had a current diagnosis of malignancy and had a moderate or high pre-test probability for PE (mean Wells score 2.8, range 2-4). Q-SPECT/CT was positive in 4/6 (67%) of patients. Distribution of pulmonary emboli was bilateral and segmental in 75% of patients. Ancillary acute findings on SPECT/CT included bilateral parenchymal ground glass opacities (n = 5), pleural effusions (n = 2), and pneumomediastinum (n = 1). CONCLUSION Q-SPECT/CT has clinical utility for diagnosing PE in patients with COVID-19 where there is a contraindication for iodinated contrast media and a moderate or high pre-test probability for PE.
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Affiliation(s)
- Jeeban P Das
- Department of Radiology/Nuclear Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Randy Yeh
- Department of Radiology/Nuclear Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heiko Schöder
- Department of Radiology/Nuclear Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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