ArticleClinical imaging2020
Chest-CT findings of COVID-19 in patients with pre-existing malignancies; a pictorial review.
Article in Clinical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Coronavirus Disease 2019 (COVID-19) in Molecular Imaging: A Systematic Review of Incidental Detection of SARS-CoV-2 Pneumonia on PET Studies.Seminars in nuclear medicine · 2021Pooled it
- Imaging Findings of SARS-CoV-2 Infection in Pediatrics: A Systematic Review of Coronavirus Disease 2019 (COVID-19) in 850 Patients.Academic radiology · 2020Pooled it
- Contribution ofCurrent issues in molecular biology · 2025Review
- Experiences of women with cancer living in the rural areas of Iran during the COVID-19 pandemic: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia.BMC medical imaging · 2023Article
- Two in one: Overlapping CT findings of COVID-19 and underlying lung diseases.Clinical imaging · 2023Review
- Which sequence should be used in the thorax magnetic resonance imaging of COVID-19: a comparative study.Turkish journal of medical sciences · 2023Article
- Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center.Pathology oncology research : POR · 2023Article
- FDG-PET/CT of COVID-19 and Other Lung Infections.Seminars in nuclear medicine · 2022Review
- A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study.Pattern recognition letters · 2021Article
- SARS-CoV-2 reinfection: "New baseline" imaging concept in the era of COVID-19.Clinical imaging · 2021Article
- A comprehensive review of imaging findings in COVID-19 - status in early 2021.European journal of nuclear medicine and molecular imaging · 2021Review
- Article
- A Systematic Review and Meta-Analysis of Clinical Characteristics and Outcomes in Patients With Lung Cancer with Coronavirus Disease 2019.JTO clinical and research reports · 2021Review
- Coronavirus disease 2019 (COVID-19) in patients with systemic autoimmune diseases or vasculitis: radiologic presentation.Journal of thrombosis and thrombolysis · 2021Review
- The lingering manifestations of COVID-19 during and after convalescence: update on long-term pulmonary consequences of coronavirus disease 2019 (COVID-19).La Radiologia medica · 2021Review
- Impact of Coronavirus Disease 2019 on Clinical Characteristics in Patients With Lung Cancer: A Large Single-Centre Retrospective Study.Frontiers in oncology · 2021Article
- Cancerona: Challenges of Cancer Management in Times of COVID-19 Pandemic.SN comprehensive clinical medicine · 2020Review
- Quantitative Analysis of Image Quality in Low-Dose Computed Tomography Imaging for COVID-19 Patients.Journal of medical signals and sensorsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As of April 17th, 2020, more than 2,190,010 COVID-19 cases with 147,010 deaths have been recorded worldwide. It has been suggested that a high mortality rate occurs in patients with severe disease and is associated with advanced age and underlying comorbidities, such as malignancies. To the best of our knowledge, no study has been conducted to evaluate chest CT features in patients with malignancy and concomitant COVID-19 infection. In fact, the imaging findings can be challenging and have not yet been fully understood in this setting. In this manuscript, we go over imaging findings in chest CT of patients with COVID-19 and known cancer. With the ongoing COVID-19 pandemic and exponentially increasing incidence throughout the world, in at-risk and vulnerable populations such as patients with known malignancies, infection with SARS-CoV-2 should be included in the differential considerations even with atypical image pictures. Detection of superimposed infection in patients with cancers who present with pulmonary infiltrations warrant correlation with clinical picture, contact history, and RT-PCR confirmatory testing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.