Literature DB >> 32558722

Incidental Finding of COVID-19 Lung Infection in 18F-FDG PET/CT: What Should We Do?

Vincent Habouzit1, Alicia Sanchez1, Sabrina Dehbi2, Nathalie Prevot, Pierre-Benoît Bonnefoy1.   

Abstract

We report the case of an asymptomatic (no fever, no cough, no dyspnea) 80-year-old woman who had an F-FDG PET/CT scan for initial staging of Lieberkühnian adenocarcinoma located on anal canal. Chest analysis incidentally revealed bilateral diffuse patchy ground-glass opacity with mild increasing F-FDG uptake, consistent with incidental COVID-19 infection finding during the March 2020 pandemic. The infection was confirmed by reverse transcription-polymerase chain reaction. It led us to improve patient flow and to undertake broader measures to avoid patient clinical issues and potential disease spreading.

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Year:  2020        PMID: 32558722      PMCID: PMC7315830          DOI: 10.1097/RLU.0000000000003135

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   10.782


PET/CT acquisition was performed 1 hour after intravenous infusion of 145 MBq of 18F-FDG. A, 18F-FDG PET/CT maximum intensity projection showed an intense uptake (SUVmax 12.8) in anal canal primary neoplasm (black arrow) and increasing uptake in right lung corresponding in axial PET/CT slices to subpleural ground-glass opacity with 18F-FDG increasing uptake in right upper lobe (SUVmax of 2.4) (B, C), associated with patchy, rounded, diffuse, ground-glass opacity with mild FDG uptake (D, E). This incidental lung lesion finding, even in an asymptomatic patient, was consistent with typical appearance of COVID-19 infection during the March 2020 pandemic.[1-5] There was no evidence of lymph node FDG uptake compared with some prior reported cases.[6,7] The infection was confirmed by reverse transcription–polymerase chain reaction on nasopharyngeal swab collection. Following this event, we took measures to decrease the risk of disease spreading in our department. They are synthetized in this algorithm. Every patient must be screened for COVID-19 infection risk before and upon entering in the unit. Patients suspicious for COVID-19 infection have to wear surgical mask and to be isolated, combined with transmission droplets-based precautions for the medical staff.[8] As chest CT has high sensitivity to detect COVID infection,[9] we recommend to analyze chest area before patient leaves camera’s bed. This allows taking hygienic measures (particularly specific COVID camera disinfection) to protect the following patients.[10] For that purpose, it is necessary to increase time between examinations. In case of suspected COVID-19 infection scan, it is warmly recommended to notify medical and paramedical staff in order to adapt patient’s care (including transfer and reverse transcription–polymerase chain reaction test) and hygienic measures. Patient and contact cases must be warned to strictly adhere to isolation rules and for self-monitoring in case of ambulatory care in asymptomatic form. More generally, it is recommended to cancel nonurgent investigations and to limit contact with other patients.[11] These recommendations are all the more important to follow as there is an increased risk of COVID infection (1% vs 0.29%) and more frequent complication (39% vs 8%) in the cancer patient population.[12]
  11 in total

1.  Essentials for Radiologists on COVID-19: An Update-Radiology Scientific Expert Panel.

Authors:  Jeffrey P Kanne; Brent P Little; Jonathan H Chung; Brett M Elicker; Loren H Ketai
Journal:  Radiology       Date:  2020-02-27       Impact factor: 11.105

2.  Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR.

Authors:  Yicheng Fang; Huangqi Zhang; Jicheng Xie; Minjie Lin; Lingjun Ying; Peipei Pang; Wenbin Ji
Journal:  Radiology       Date:  2020-02-19       Impact factor: 11.105

3.  Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.

Authors:  Scott Simpson; Fernando U Kay; Suhny Abbara; Sanjeev Bhalla; Jonathan H Chung; Michael Chung; Travis S Henry; Jeffrey P Kanne; Seth Kligerman; Jane P Ko; Harold Litt
Journal:  J Thorac Imaging       Date:  2020-07       Impact factor: 3.000

4.  Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study.

Authors:  Heshui Shi; Xiaoyu Han; Nanchuan Jiang; Yukun Cao; Osamah Alwalid; Jin Gu; Yanqing Fan; Chuansheng Zheng
Journal:  Lancet Infect Dis       Date:  2020-02-24       Impact factor: 25.071

5.  Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.

Authors:  Harrison X Bai; Ben Hsieh; Zeng Xiong; Kasey Halsey; Ji Whae Choi; Thi My Linh Tran; Ian Pan; Lin-Bo Shi; Dong-Cui Wang; Ji Mei; Xiao-Long Jiang; Qiu-Hua Zeng; Thomas K Egglin; Ping-Feng Hu; Saurabh Agarwal; Fang-Fang Xie; Sha Li; Terrance Healey; Michael K Atalay; Wei-Hua Liao
Journal:  Radiology       Date:  2020-03-10       Impact factor: 11.105

6.  FDG PET/CT of COVID-19.

Authors:  Sijuan Zou; Xiaohua Zhu
Journal:  Radiology       Date:  2020-03-06       Impact factor: 11.105

7.  Incidental CT Findings Suspicious for COVID-19-Associated Pneumonia on Nuclear Medicine Examinations: Recognition and Management Plan.

Authors:  Mark Tulchinsky; Joseph S Fotos; Einat Slonimsky
Journal:  Clin Nucl Med       Date:  2020-07       Impact factor: 10.782

8.  The potential added value of FDG PET/CT for COVID-19 pneumonia.

Authors:  Yan Deng; Lei Lei; Yue Chen; Wei Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-03-21       Impact factor: 9.236

9.  Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China.

Authors:  Wenhua Liang; Weijie Guan; Ruchong Chen; Wei Wang; Jianfu Li; Ke Xu; Caichen Li; Qing Ai; Weixiang Lu; Hengrui Liang; Shiyue Li; Jianxing He
Journal:  Lancet Oncol       Date:  2020-02-14       Impact factor: 41.316

10.  18F-FDG PET/CT findings of COVID-19: a series of four highly suspected cases.

Authors:  Chunxia Qin; Fang Liu; Tzu-Chen Yen; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-02-22       Impact factor: 9.236

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  3 in total

1.  Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.

Authors:  Aditya Killekar; Kajetan Grodecki; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D Pressman; Peter Julien; Peter Chen; Judit Simon; Pal Maurovich-Horvat; Nicola Gaibazzi; Udit Thakur; Elisabetta Mancini; Cecilia Agalbato; Jiro Munechika; Hidenari Matsumoto; Roberto Menè; Gianfranco Parati; Franco Cernigliaro; Nitesh Nerlekar; Camilla Torlasco; Gianluca Pontone; Damini Dey; Piotr Slomka
Journal:  J Med Imaging (Bellingham)       Date:  2022-09-06

Review 2.  Highlighting COVID-19: What the imaging exams show about the disease.

Authors:  Lorena Sousa de Carvalho; Ronaldo Teixeira da Silva Júnior; Bruna Vieira Silva Oliveira; Yasmin Silva de Miranda; Nara Lúcia Fonseca Rebouças; Matheus Sande Loureiro; Samuel Luca Rocha Pinheiro; Regiane Santos da Silva; Paulo Victor Silva Lima Medrado Correia; Maria José Souza Silva; Sabrina Neves Ribeiro; Filipe Antônio França da Silva; Breno Bittencourt de Brito; Maria Luísa Cordeiro Santos; Rafael Augusto Oliveira Sodré Leal; Márcio Vasconcelos Oliveira; Fabrício Freire de Melo
Journal:  World J Radiol       Date:  2021-05-28

Review 3.  Imaging Diagnostics and Pathology in SARS-CoV-2-Related Diseases.

Authors:  Manuel Scimeca; Nicoletta Urbano; Rita Bonfiglio; Manuela Montanaro; Elena Bonanno; Orazio Schillaci; Alessandro Mauriello
Journal:  Int J Mol Sci       Date:  2020-09-22       Impact factor: 5.923

  3 in total

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