Evidence map›Paper›PMID 36098641›Full record

ArticleRadiology2023

Axillary Lymphadenopathy after Pfizer-BioNTech and Moderna COVID-19 Vaccination: MRI Evaluation.

Takeharu Yoshikawa, Soichiro Miki, Takahiro Nakao, Saori Koshino, Naoto Hayashi, Osamu Abe

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Axillary Lymphadenopathy after COVID-19 Vaccination: Follow-up for Enlarged Lymph Nodes on MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Takeharu YoshikawaFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.ORCID 0000-0002-1924-5468
Soichiro MikiFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.
Takahiro NakaoFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.ORCID 0000-0001-9498-7501
Saori KoshinoFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.ORCID 0000-0003-3098-6061
Naoto HayashiFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.
Osamu AbeFrom the Department of Computational Diagnostic Radiology and Preventive Medicine (T.Y., T.N., S.K., N.H.) and Department of Radiology (S.M., O.A.), University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.ORCID 0000-0002-1180-2629
University of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background COVID-19 vaccination-related axillary lymphadenopathy has become an important problem in cancer imaging. Data are needed to update or support imaging guidelines for conducting appropriate follow-up. Purpose To investigate the prevalence, predisposing factors, and MRI characteristics of COVID-19 vaccination-related axillary lymphadenopathy. Materials and Methods Prospectively collected prevaccination and postvaccination chest MRI scans were secondarily analyzed. Participants who underwent two doses of either the Pfizer-BioNTech or Moderna COVID-19 vaccine and chest MRI from June to October 2021 were included. Enlarged axillary lymph nodes were identified on postvaccination MRI scans compared with prevaccination scans. The lymph node diameter, signal intensity with T2-weighted imaging, and apparent diffusion coefficient (ADC) of the largest enlarged lymph nodes were measured. These values were compared between prevaccination and postvaccination MRI by using the Wilcoxon signed-rank test. Results Overall, 433 participants (mean age, 65 years ± 11 [SD]; 300 men and 133 women) were included. The prevalence of axillary lymphadenopathy in participants 1-14 days after vaccination was 65% (30 of 46). Participants with lymphadenopathy were younger than those without lymphadenopathy (

Indexed as

COVID-19Lymphadenopathy2019-nCoV Vaccine mRNA-1273AgedCOVID-19 VaccinesFemaleHumansLymph NodesMagnetic Resonance ImagingMaleSensitivity and SpecificityVaccination2019-nCoV Vaccine mRNA-1273COVID-19 Vaccines

Identifiers

PMID36098641
PMCPMC9490792
OpenAlexW4295498037

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.