Evidence map›Paper›PMID 32968661›Full record

ReviewCardiovascular diagnosis and therapy2020

4D flow imaging of the thoracic aorta: is there an added clinical value?

Federica Catapano, Giacomo Pambianchi, Giulia Cundari, João Rebelo, Francesco Cilia, Iacopo Carbone, Carlo Catalano, Marco Francone, Nicola Galea

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Utility of 4D Flow MRI in Thoracic Aortic Diseases: A Literature Review of Clinical Applications and Current Evidence.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  13. 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

9 authors at 2 institutions in 2 countries.

Federica CatapanoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Giacomo PambianchiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Giulia CundariDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
João RebeloDepartment of Radiology, Centro Hospitalar São João, Alameda Prof. Hernâni Monteiro, Porto, Portugal.
Francesco CiliaDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Iacopo CarboneDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Carlo CatalanoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Marco FranconeDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Nicola GaleaDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome · ITHospital de São João · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Four-dimensional (4D) flow MRI has emerged as a powerful non-invasive technique in cardiovascular imaging, enabling to analyse in vivo complex flow dynamics models by quantifying flow parameters and derived features. Deep knowledge of aortic flow dynamics is fundamental to better understand how abnormal flow patterns may promote or worsen vascular diseases. In the perspective of an increasingly personalized and preventive medicine, growing interest is focused on identifying those quantitative functional features which are early predictive markers of pathological evolution. The thoracic aorta and its spectrum of diseases, as the first area of application and development of 4D flow MRI and supported by an extensive experimental validation, represents the ideal model to introduce this technique into daily clinical practice. The purpose of this review is to describe the impact of 4D flow MRI in the assessment of the thoracic aorta and its most common affecting diseases, providing an overview of the actual clinical applications and describing the potential role of derived advanced hemodynamic measures in tailoring follow-up and treatment.

Indexed as

cardiovascular magnetic resonancefluid dynamicsFour-dimensional flow imaging (4D flow imaging)phase contrast sequencethoracic aorta

Identifiers

PMID32968661
PMCPMC7487373
OpenAlexW3039387750

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.