Evidence map›Paper›PMID 38844622›Full record

ReviewAbdominal radiology (New York)2024

Tips and tricks for a proper radiological assessment of abdominal and pelvic lymph nodes.

Ana Laura Lopes Potente, Cynthia Lopes Pereira de Borborema, Iza Campos Pedra Vieira, Aley Talans, Eduardo Oliveira Pacheco, Lucas Rios Torres, Serli Kiyomi Nakao Ueda, Fernanda Lopez Mazzucato, Andrei Saraiva Purysko, Daniel Lahan Martins and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Ana Laura Lopes PotenteGrupo Fleury, São Paulo, Brazil. analaurapotente@gmail.com.ORCID 0000-0002-1575-8610
Cynthia Lopes Pereira de BorboremaGrupo Fleury, São Paulo, Brazil.ORCID 0009-0009-7571-2364
Iza Campos Pedra VieiraGrupo Fleury, São Paulo, Brazil.ORCID 0009-0005-5984-7024
Aley TalansGrupo Fleury, São Paulo, Brazil.ORCID 0000-0002-8508-907X
Eduardo Oliveira PachecoGrupo Fleury, São Paulo, Brazil.ORCID 0000-0001-7645-260X
Lucas Rios TorresGrupo Fleury, São Paulo, Brazil.ORCID 0009-0000-3681-4995
Serli Kiyomi Nakao UedaGrupo Fleury, São Paulo, Brazil.ORCID 0000-0002-9686-692X
Fernanda Lopez MazzucatoGrupo Fleury, São Paulo, Brazil.ORCID 0009-0001-8009-091X
Andrei Saraiva PuryskoCleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-6888-0417
Daniel Lahan MartinsUniversidade Estadual de Campinas, Campinas, Brazil.ORCID 0000-0003-4691-7634
Ulysses Santos TorresGrupo Fleury, São Paulo, Brazil.ORCID 0000-0002-1911-9090
Giuseppe D'IppolitoGrupo Fleury, São Paulo, Brazil.ORCID 0000-0002-2701-1928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of lymph node dimensions is a commonly used criterion in analyzing lymphatic involvement related to inflammatory or neoplastic diseases. However, it is important to understand that the interpretation of lymph nodes goes beyond simply considering their size. A pathologic lymph node can present with enlarged dimensions, a heterogeneous appearance, increased cortex thickness, irregular contours, or a lobulated shape. In this context, it is essential to consider not only the dimensions but also the morphology, attenuation, and enhancement of lymph nodes on imaging exams. This article aims to demonstrate how characteristics of lymph nodes, beyond their size, can provide crucial insights that assist in diagnostic reasoning, focusing on computed tomography. By emphasizing different enhancement patterns, attenuation, and the potential contents related to these patterns, the study seeks to show how these features can indicate possible differential diagnoses and guide more accurate clinical assessments.

Indexed as

AbdomenLymph NodesPelvisTomography, X-Ray ComputedDiagnosis, DifferentialHumansLymphatic DiseasesComputed tomographyDiagnostic imagingLymph nodesLymphoid tissue

Identifiers

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.