Evidence map›Paper›PMID 33032980›Full record

ReviewDiagnostic and interventional radiology (Ankara, Turkey)2020

Magnetic resonance lymphangiography: with or without contrast?

Susanna Guerrini, Francesco Gentili, Francesco Giuseppe Mazzei, Paolo Gennaro, Luca Volterrani, Maria Antonietta Mazzei

Open access · greenAbstract readReview
In one paragraph

Review in Diagnostic and interventional radiology (Ankara, Turkey), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-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

14 citing papers in PubMed, 32 citations in OpenAlex.

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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 2 institutions in 1 country.

Susanna GuerriniDepartment of Radiological Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Francesco GentiliDepartment of Radiological Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Francesco Giuseppe MazzeiDepartment of Radiological Sciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Paolo GennaroDepartment of Maxillofacial Surgery, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Luca VolterraniDepartment of Medical, Surgical and Neurosciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
Maria Antonietta MazzeiDepartment of Medical, Surgical and Neurosciences, Diagnostic Imaging, University of Siena, Azienda Ospedaliera Universitaria Senese, Siena, Italy.
University of Siena · ITAzienda Ospedaliera Universitaria Senese · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphedema is an important medical issue around the world, caused by an anomalous collection of fluid in soft tissue due to congenital malformations or stenosis or obstruction of lymphatic vessels. Magnetic resonance lymphangiography (MRL) is an emerging technique focused on noninvasive or minimally invasive imaging of lymphatics with the goal to diagnose and treat lymphedema. This review will briefly discuss lymphatic imaging starting with lymphography and radionuclide lymphoscintigraphy up to the newest methods, focusing on MRL, a rising technique, and highlighting the technical aspects fundamental for achieving high-resolution MRL.

Indexed as

Lymphatic VesselsLymphedemaContrast MediaHumansLymphographyMagnetic Resonance ImagingMagnetic Resonance SpectroscopyContrast Media

Identifiers

PMID33032980
PMCPMC7664753
OpenAlexW3092462652

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.