Evidence map›Paper›PMID 39325210›Full record

ReviewAbdominal radiology (New York)2025

Improved bladder diagnostics using multiparametric ultrasound.

Kaltra Begaj, Andreas Sperr, Jan-Friedrich Jokisch, Dirk-André Clevert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Kaltra Begaj *LMU Klinikum, Munich, Germany.
Andreas Sperr *LMU Klinikum, Munich, Germany.
Jan-Friedrich JokischLMU Klinikum, Munich, Germany.
Dirk-André ClevertLMU Klinikum, Munich, Germany. dirk.clevert@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This comprehensive review examines recent advancements in the integration of multiparametric ultrasound for diagnostic imaging of the urinary bladder. It not only highlights the current state of ultrasound imaging but also projects its potential to further elevate standards of care in managing urinary bladder pathologies. Specifically, contrast-enhanced ultrasound (CEUS) and elastography show significant improvements in detecting bladder tumors and assessing bladder wall mechanics compared to traditional methods. The review also explores the future potential of ultrasound-mediated nanobubble destruction (UMND) as an investigational targeted cancer therapy, showcasing a novel approach that utilizes nanobubbles to deliver therapeutic genes into tumor cells with high precision. Emerging AI-driven innovations and novel techniques, such as microvascular ultrasonography (MVUS), are proving to be powerful tools for the non-invasive and precise management of bladder conditions, offering detailed insights into bladder structure and function. These advancements collectively underscore their transformative impact on the field of urology.

Indexed as

Urinary Bladder DiseasesUrinary Bladder NeoplasmsContrast MediaElasticity Imaging TechniquesHumansUltrasonographyUrinary BladderContrast MediaB-mode ultrasoundCEUSDoppler sonographyElastographyThree-dimensional ultrasoundUrinary bladder

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.