Evidence map›Paper›PMID 39180563›Full record

ReviewEmergency radiology2024

Flank pain, hypertension, and hematuria: CT and 3D cinematic rendering in the evaluation of renal artery emergencies-a pictorial essay.

Mohammad Yasrab, Elliot K Fishman, Linda C Chu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Emergency radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

3 authors.

Mohammad YasrabDepartment of Radiology and Radiological Science, The Russell H. Morgan, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD, USA. myasrab1@jh.edu.ORCID http://orcid.org/0009-0007-8177-097X
Elliot K FishmanDepartment of Radiology and Radiological Science, The Russell H. Morgan, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD, USA.
Linda C ChuDepartment of Radiology and Radiological Science, The Russell H. Morgan, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-traumatic acute renal artery emergencies encompass a spectrum of etiologies, including renal artery stenosis, arteriovenous malformations, aneurysms and pseudoaneurysms, dissections, thrombosis, and vasculitis. Prompt and accurate diagnosis in the emergency setting is crucial due to the potential for significant morbidity and mortality. Computed tomography (CT) and CT angiography (CTA) are the mainstay imaging modalities, offering rapid acquisition and high diagnostic accuracy. The integration of 3D postprocessing techniques, such as 3D cinematic rendering (CR), improves the diagnostic workflow by providing photorealistic and anatomically accurate visualizations. This pictorial essay illustrates the diagnostic utility of CT and CTA, supplemented by 3D CR, through a series of 10 cases of non-traumatic renal artery emergencies. The added value of 3D CR in improving diagnostic confidence, surgical planning, and understanding of complex vascular anatomy is emphasized.

Indexed as

Computed Tomography AngiographyEmergenciesFlank PainHematuriaImaging, Three-DimensionalRenal ArteryTomography, X-Ray ComputedAdultAgedContrast MediaFemaleHumansMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedContrast Media3D CTCinematic renderingComputed tomographyKidneyRenal artery

Identifiers

PMID39180563

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.