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Spectrum of opportunistic fungal lung co-infections in COVID-19: What the radiologist needs to know.
Nair, A V; Ramanathan, S; Sanghavi, P; Manchikanti, V; Satheesh, S; Al-Heidous, M; Jajodia, A; Macdonald, D Blair.
  • Nair AV; Departamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar; Departmento de Radiología Clinica, NHS Salisbury Foundation Trust, Salisbury, Wiltshire, United Kingdom. Electronic address: dranirudhnair@gmail.com.
  • Ramanathan S; Departamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar; Departamento de Radiología, Weill Cornell Medicine, Doha, Qatar.
  • Sanghavi P; Jankharia Imaging Centre, Mumbai, India.
  • Manchikanti V; Departamento de Radiología, Facultad de Medicina de Narayana, Nellore, India.
  • Satheesh S; Departamento de Patología, Regional Cancer Center, Trivandrum, India.
  • Al-Heidous M; Departamento de Imagenología Clínica, Hospital Al-Wakra, Hamad Medical Corporation, Doha, Qatar.
  • Jajodia A; Departamento de Radiología, Juravinski Cancer Center y St. Josephs Healthcare, Hamilton, Universidad McMaster, Ontario, Canada.
  • Macdonald DB; Departamento de Radiología, Juravinski Cancer Center y St. Josephs Healthcare, Hamilton, Universidad McMaster, Ontario, Canada; Departamento de Radiología, Universidad de Ottawa, Ontario, Canada.
Radiologia (Engl Ed) ; 64(6): 533-541, 2022.
Article in English | MEDLINE | ID: covidwho-2086698
ABSTRACT
Fungal lung co-infections associated with COVID-19 may occur in severely ill patients or those with underlying co-morbidities, and immunosuppression. The most common invasive fungal infections are caused by aspergillosis, mucormycosis, pneumocystis, cryptococcus, and candida. Radiologists integrate the clinical disease features with the CT pattern-based approach and play a crucial role in identifying these co-infections in COVID-19 to assist clinicians to make a confident diagnosis, initiate treatment and prevent complications.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / Coinfection / COVID-19 / Mycoses Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Radiologia (Engl Ed) Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia / Coinfection / COVID-19 / Mycoses Type of study: Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Radiologia (Engl Ed) Year: 2022 Document Type: Article