Evidence map›Paper›PMID 33778597›Full record

ReviewRadiology. Cardiothoracic imaging2020

Typical CT Features of Intrapulmonary Lymph Nodes: A Review.

Anton Schreuder, Colin Jacobs, Ernst T Scholten, Bram van Ginneken, Cornelia M Schaefer-Prokop, Mathias Prokop

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Radiology. Cardiothoracic imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
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  18. Incidental chest findings on coronary CT angiography: a pictorial essay and management proposal.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Review
  19. Article
  20. The Puzzle of the Perifissural Nodule.Radiology. Cardiothoracic imaging · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Anton SchreuderDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).ORCID 0000-0002-6602-1977
Colin JacobsDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).ORCID 0000-0003-1180-3805
Ernst T ScholtenDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).ORCID 0000-0002-1982-2763
Bram van GinnekenDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).ORCID 0000-0003-2028-8972
Cornelia M Schaefer-ProkopDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).ORCID 0000-0002-3394-2980
Mathias ProkopDiagnostic Image Analysis Group, Department of Radiology, Nuclear Medicine, and Anatomy, Radboudumc, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., C.J., E.T.S., B.v.G., C.M.S.P., M.P.); Fraunhofer MEVIS, Bremen, Germany (C.J., B.v.G.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.P.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies investigated the appearance of intrapulmonary lymph nodes (IPLNs) at CT with pathologic correlation. IPLNs are benign lesions and do not require follow-up after initial detection. There are indications that IPLNs represent a considerable portion of incidentally found pulmonary nodules seen at high-resolution CT. The reliable and accurate identification of IPLNs as benign nodules may substantially reduce the number of unnecessary follow-up CT examinations. Typical CT features of IPLNs are a noncalcified solid nodule with sharp margins; a round, oval, or polygonal shape; distanced 15 mm or less from the pleura; and most being located below the level of the carina. The term

Identifiers

PMID33778597
PMCPMC7978000

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.