Evidence map›Paper›PMID 40295348›Full record

ReviewRadiologie (Heidelberg, Germany)2025

[Primary imaging diagnostics of lymphomas].

Michael Winkelmann, Matthias Kassube, Johannes Rübenthaler, Gabriel T Sheikh, Wolfgang G Kunz

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Radiologie (Heidelberg, Germany), 2025. 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

5 authors.

Michael WinkelmannKlinik und Poliklinik für Radiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland.
Matthias KassubeKlinik und Poliklinik für Radiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland.
Johannes RübenthalerKlinik und Poliklinik für Radiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland.
Gabriel T SheikhKlinik und Poliklinik für RadiologieKlinik und Poliklinik für Nuklearmedizin, LMU Klinikum, München, Deutschland.
Wolfgang G KunzKlinik und Poliklinik für Radiologie, LMU Klinikum, Marchioninistr. 15, 81377, München, Deutschland. wolfgang.kunz@med.lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

clinical/methodological issueImaging procedures are an integral component of the diagnostics and treatment of lymphomas for the initial diagnosis, staging and assessment of the efficacy of treatment. The different lymphoma entities show differences in metabolic activity and therefore require different examination modalities. STANDARD RADIOLOGICAL

methodsThis review article focuses on the primary imaging diagnostics of lymphomas using computed tomography (CT), positron emission tomography (PET)/CT and magnetic resonance imaging (MRI). It also discusses the special imaging features of the various subtypes. METHODOLOGICAL INNOVATIONS: The potential of whole-body (WB) MRI, PET/MRI and other PET tracers are discussed. PERFORMANCE: In addition, the most important classifications for the diagnosis of spread and diagnostic scores based on imaging are explained and important pitfalls in initial imaging are discussed. ASSESSMENT: Besides these most frequently used modalities, WB MRI and PET/MRI offer alternatives for special patient groups (e.g., children and pregnant women). PRACTICAL RECOMMENDATIONS: Imaging in the initial diagnosis of lymphomas should generally include an examination of the neck, thorax, abdomen, pelvis and inguinal region. Depending on the lymphoma entity, imaging is often performed using PET/CT or CT. Standardized staging classifications are used for many lymphoma entities but there are adapted criteria for several subtypes that should be taken into consideration.

Indexed as

LymphomaMagnetic Resonance ImagingTomography, X-Ray ComputedHumansNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyWhole Body ImagingAnn Arbor classificationFluorodesoxyglucose avidityLugano classificationLymphomaPitfalls

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.