Evidence map›Paper›PMID 39422932›Full record

ReviewClinical hemorheology and microcirculation2024

Improved diagnostic confidence using Super Resolution CEUS imaging in testicular lesions.

Maria Apfelbeck, Thanasis Loupas, Michael Chaloupka, Dirk-André Clevert

Abstract readReview
In one paragraph

Review in Clinical hemorheology and microcirculation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Possibility of modern ultrasound imaging of portal venous system.Clinical hemorheology and microcirculation · 2025
    Review
  7. 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

4 authors.

Maria ApfelbeckDepartment of Urology, LMU Klinikum, Munich, Germany.
Thanasis LoupasFellow Scientist, Philips Ultrasound R&D, Seattle, WA, USA.
Michael ChaloupkaDepartment of Urology, LMU Klinikum, Munich, Germany.
Dirk-André ClevertDepartment of Radiology, Ludwig-Maximilians-University Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound is the most used interdisciplinary non-ionizing imaging technique in clinical pathologies of the testis. The testis may be affected by a plethora of different disorders such as vasculopathies, trauma, infections and manifestations of primary and secondary malignant masses. Conventional ultrasound represents the basic imaging modality of choice to assess scrotal disorders. Contrast-enhanced ultrasound (CEUS) can provide further information to distinguish between benign and malignant testicular mass lesions. The recent introduction of Super Resolution CEUS Micro-Vascular Imaging (MVI SR) and Time of Arrival (TOA SR) parametric mapping compliments the information provided by conventional CEUS, since these two new post-processing techniques improve the visualization of microvascular structures with slow blood flow and provide high-resolution images of the peak contrast enhancement and temporal perfusion patterns. This paper gives a comprehensive overview of differential diagnoses of the testicular disorder and their corresponding sono-morphologic correlates based on representative cases of the Interdisciplinary Ultrasound Center of the University Hospital Munich.

Indexed as

Contrast MediaTesticular DiseasesUltrasonographyDiagnosis, DifferentialHumansMaleTesticular NeoplasmsTestisContrast MediaabscessLeydig cell tumorMicro Vascular ImagingseminomaSuper Resolution CEUS imagingteratomaTime of Arrivalultrasound

Identifiers

PMID39422932
PMCPMC11612930

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.