Evidence map›Paper›PMID 39110144›Full record

ArticleRadiologie (Heidelberg, Germany)2024

[Importance and implementation of radiological modalities in the diagnostics of soft tissue tumors].

Caroline Grund, Dorothea Kerner, Deborah Driulini, Günther Schneider

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Radiologie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Caroline GrundKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum des Saarlandes, Kirrbergerstraße 100, 66421, Homburg/Saar, Deutschland. Caroline.Grund@uks.eu.
Dorothea KernerKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum des Saarlandes, Kirrbergerstraße 100, 66421, Homburg/Saar, Deutschland.
Deborah DriuliniKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum des Saarlandes, Kirrbergerstraße 100, 66421, Homburg/Saar, Deutschland.
Günther SchneiderKlinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum des Saarlandes, Kirrbergerstraße 100, 66421, Homburg/Saar, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant soft tissue tumors, in particular, require a multimodal treatment concept involving interdisciplinary cooperation between radiologists, pathologists, surgeons and oncologists at special tumor centers. The foundations of the treatment decision are the imaging diagnostics and the diagnosis confirmation based on tissue samples. The (local) extent and growth behavior of a tumor are among the most important findings of imaging as they have a direct influence on the surgical procedure. The most important diagnostic procedure here is magnetic resonance imaging (MRI). The T1-weighted and fat-suppressed sequences after i.v. contrast administration are used to visualize the extent of the tumor. In synopsis with diffusion-weighted and T2-weighted sequences, a differentiation between vital tumor tissue and tumor necrosis is additionally possible. This also enables targeted sampling from vital tumor parts so that the patient can be assigned to the appropriate treatment concept as quickly as possible.

Indexed as

Magnetic Resonance ImagingSoft Tissue NeoplasmsContrast MediaDiagnosis, DifferentialHumansContrast MediaCore needle biopsyDiagnosticsMagnetic resonance imagingSarcomaTumor extent

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.