Evidence map›Paper›PMID 38544917›Full record

ArticleEuropean journal of radiology open2024

Differentiation between normal and metastatic lymph nodes in patients with skin melanoma: Preliminary findings using a DIXON-based whole-body MRI approach.

C Brussaard, L Faggioni, F E Ramirez-Barbosa, M Vervoort, Y Jansen, B Neyns, J de Mey, I Willekens, D Cioni, E Neri

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of radiology open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 2 countries.

C BrussaardUniversitair Ziekenhuis Brussel, Department of Radiology, Belgium.
L FaggioniAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Italy.
F E Ramirez-BarbosaUniversitair Ziekenhuis Brussel, Department of Biotechnology, Belgium.
M VervoortUniversitair Ziekenhuis Brussel, Department of Biotechnology, Belgium.
Y JansenUniversitair Ziekenhuis Brussel, Department of Medical Oncology, Belgium.
B NeynsUniversitair Ziekenhuis Brussel, Department of Medical Oncology, Belgium.
J de MeyUniversitair Ziekenhuis Brussel, Department of Radiology, Belgium.
I WillekensUniversitair Ziekenhuis Brussel, Department of Radiology, Belgium.
D CioniAcademic Radiology, Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Italy.
E NeriAcademic Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Italy.
Universitair Ziekenhuis Brussel · BEUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metastatic melanoma lymph nodes (MMLns) might be challenging to detect on MR-WBI, as both MMLns and normal lymph nodes (NLns) can show restricted water diffusion. Our purpose is to assess the potential contribution of the DIXON sequence in differentiating MMLns from NLns. Material and methods: We followed a cohort of 107 patients with stage IIIb/c and IV skin melanoma for 32 months using MR-WBI with DIXON, STIR, and DWI/ADC sequences. We compared signal intensity (SI) values of MMLns and NLns in the four series of the DIXON sequence (in/out-of-phase, fat_only, and water_only series). The fat fraction (SI Results: All MMLns (8 from 7 patients) showed SI Conclusion: The combination of three features of MMLns (SI

Indexed as

DIXON sequenceLymph nodesMagnetic resonance whole body imagingMetastatic melanoma

Identifiers

PMID38544917
PMCPMC10965459
OpenAlexW4392954686

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.