ReviewKorean journal of radiology2021
COVID-19 Vaccine-Related Axillary and Cervical Lymphadenopathy in Patients with Current or Prior Breast Cancer and Other Malignancies: Cross-Sectional Imaging Findings on MRI, CT, and PET-CT.
Review in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Reactive Axillary Lymphadenopathy Among Different COVID-19 Vaccines: A Retrospective Study in Breast Sonography.International journal of breast cancer · 2025Article
- Introducing "Uncover This Tech Term" and "Emerging Rad Dx" Articles in theKorean journal of radiology · 2023Article
- CVSARRP: A framework to predict the risk of adverse to severe adverse reactions for 10855 diseases after COVID-19 vaccination.Heliyon · 2023Review
- Non-Hodgkin Lymphoma Developed Shortly after mRNA COVID-19 Vaccination: Report of a Case and Review of the Literature.Medicina (Kaunas, Lithuania) · 2023Review
- Review
- Pathological Findings in COVID-19 and Non-COVID-19 Vaccine-Associated Lymphadenopathy: A Systematic Review.Journal of clinical medicine · 2022Review
- COVID-19 vaccine associated cervical lymphadenopathy: a case series.ANZ journal of surgery · 2022Article
- COVID-19 Vaccine-Associated Lymphadenopathy in Breast Imaging Recipients: A Review of Literature.Cureus · 2022Review
- Response to Letter; Discrimination between Benign and Malignant Post-SARS-CoV-2 Vaccination Lymphadenopathy is Feasible, to Our Article; Axillary Adenopathy in Patients with Recent COVID-19 Vaccination: A New Diagnostic Dilemma.Korean journal of radiology · 2022Article
- Regional Lymphadenopathy Following COVID-19 Vaccination in Patients with or Suspicious of Breast Cancer: A Quick Summary of Current Key Facts and Recommendations.Korean journal of radiology · 2022Article
- Discrimination between Benign and Malignant Post-SARS-CoV-2 Vaccination Lymphadenopathy is Feasible.Korean journal of radiology · 2022Article
- Not only lymphadenopathy: case of chest lymphangitis assessed with MRI after COVID 19 vaccine.Infectious agents and cancer · 2022Article
- Looking Ahead to 2022 for theKorean journal of radiology · 2022Article
- Axillary Adenopathy in Patients with Recent Covid-19 Vaccination: A New Diagnostic Dilemma.Korean journal of radiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast radiologists are increasingly seeing patients with axillary adenopathy related to COVID-19 vaccination. Vaccination can cause levels I-III axillary as well as cervical lymphadenopathy. Appropriate management of vaccine-related adenopathy may vary depending on clinical context. In patients with current or past history of malignancy, vaccine-related adenopathy can be indistinguishable from nodal metastasis. This article presents imaging findings of oncology patients with adenopathy seen in the axilla or neck on cross-sectional imaging (breast MRI, CT, or PET-CT) after COVID-19 vaccination. Management approach and rationale is discussed, along with consideration on strategies to minimize false positives in vaccinated cancer patients. Time interval between vaccination and adenopathy seen on breast MRI, CT, or PET-CT is also reported.
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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.