Evidence map›Paper›PMID 32773950›Full record

ReviewSeminars in interventional radiology2020

Nodal and Pedal MR Lymphangiography of the Central Lymphatic System: Techniques and Applications.

Claus Christian Pieper

Abstract readReview
In one paragraph

Review in Seminars in interventional radiology, 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
–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

14 citing papers in PubMed.

  1. Lymphatic Imaging and Interventions in Children: Current Practice.Cardiovascular and interventional radiology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. [Imaging of the lymphatic vascular system-techniques].Radiologie (Heidelberg, Germany) · 2025
    Article
  8. [Therapeutic concepts in treatment of lymphedema].Radiologie (Heidelberg, Germany) · 2025
    Review
  9. MRI of Lymphedema.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

1 author.

Claus Christian PieperDepartment of Diagnostic and Interventional Radiology, Faculty of Medicine, University Hospital Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel lymphatic imaging and interventional techniques are increasingly used in the diagnostic workup and treatment of pathologies of the central lymphatic system and have opened a new field of interventional radiology. The mainstay of lymphatic imaging today is magnetic resonance lymphangiography (MRL). It provides information on the anatomy of the central lymphatic system, lymphatic flow, as well as lymphatic pathologies and therefore is a valuable tool for treatment planning. There are two techniques to perform contrast-enhanced MRL: nodal dynamic contrast-enhanced MRL (nodal DCE-MRL) and interstitial transpedal MRL (tMRL). Nodal DCE-MRL yields superior information on lymphatic flow dynamics and is therefore best suited for suspected lymphatic flow pathologies and lymphatic malformations. tMRL is a technically simpler alternative for central lymphatic visualization without the need for sonographically guided lymph node cannulation. This review article describes current MRL techniques with a focus on contrast-enhanced MRL, their specific advantages, and possible clinical applications in patients suffering from pathologies of the central lymphatic system.

Indexed as

chylothoraxchylous ascitesinterventional radiologylymphatic leakagelymphatic malformationMR lymphangiography

Identifiers

PMID32773950
PMCPMC7394572

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.