Evidence map›Paper›PMID 36910554›Full record

ReviewMethodist DeBakey cardiovascular journal2023

Dynamic Imaging of Aortic Pathologies: Review of Clinical Applications and Imaging Protocols.

Peter Osztrogonacz, Marton Berczeli, Ponraj Chinnadurai, Su-Min Chang, Dipan J Shah, Alan B Lumsden

Full text readReview
In one paragraph

Review in Methodist DeBakey cardiovascular journal, 2023. 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
  3. Article
  4. CT angiography of acute aortic syndrome in patients with chronic kidney disease.The international journal of cardiovascular imaging · 2025
    Review
  5. Review
  6. Article
  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

6 authors.

Peter OsztrogonaczHouston Methodist Hospital, Houston, Texas, US.ORCID https://orcid.org/0000-0002-5633-4363
Marton BerczeliHouston Methodist Hospital, Houston, Texas, US.ORCID https://orcid.org/0000-0001-7591-5916
Ponraj ChinnaduraiHouston Methodist Hospital, Houston, Texas, US.ORCID https://orcid.org/0000-0001-9223-1284
Su-Min ChangHouston Methodist Hospital, Houston, Texas, US.
Dipan J ShahHouston Methodist Hospital, Houston, Texas, US.ORCID https://orcid.org/0000-0002-6179-2393
Alan B LumsdenHouston Methodist Hospital, Houston, Texas, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past decade has seen significant advances in dynamic imaging of the aorta. Today's vascular surgeons have the opportunity to choose from a wide array of imaging modalities to evaluate different aortic pathologies. While vascular ultrasound and aortography are considered to be the bread and butter imaging modalities, newer dynamic imaging techniques provide time-resolved information in various aortic pathologies. However, despite growing evidence of their advantages in the literature, they have not been routinely adopted. In order to understand the role of these emerging modalities, one must understand their principles, advantages, and limitations in the context of various clinical scenarios. In this review, we provide an overview of dynamic imaging techniques for aortic pathologies and describe various dynamic computed tomography and magnetic resonance imaging protocols, clinical applications, and potential future directions.

Indexed as

AortaMagnetic Resonance AngiographyAortographyHumansMagnetic Resonance ImagingTomography, X-Ray Computed4D flow MRIaortaaortic imagingdiagnostic imagingdynamic CTAdynamic imagingdynamic MRA

Identifiers

PMID36910554
PMCPMC10000327

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read9
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.