Evidence map›Paper›PMID 39209480›Full record

ReviewThe European respiratory journal2024

Emerging multimodality imaging techniques for the pulmonary circulation.

Sudarshan Rajagopal, Harm J Bogaard, Mohammed S M Elbaz, Benjamin H Freed, Martine Remy-Jardin, Edwin J R van Beek, Deepa Gopalan, David G Kiely

Abstract readReview
In one paragraph

Review in The European respiratory journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Pulmonary arterial hypertension with signs of venous/capillary involvement in connective tissue diseases: paradigms and paradoxes.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Artificial Intelligence in Diagnosis of Heart Failure.Journal of the American Heart Association · 2025
    Review
  16. Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sudarshan RajagopalDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.
Harm J BogaardDepartment of Pulmonology, Amsterdam University Medical Center, Location VU Medical Center, Amsterdam, The Netherlands.
Mohammed S M ElbazDepartment of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Benjamin H FreedFeinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Martine Remy-JardinIMALLIANCE-Haut-de-France, Valenciennes, France.
Edwin J R van BeekEdinburgh Imaging, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Deepa GopalanDepartment of Radiology, Imperial College Healthcare NHS Trust, London, UK d.gopalan@nhs.net.ORCID https://orcid.org/0000-0001-8079-205X
David G KielySheffield Pulmonary Vascular Disease Unit and NIHR Biomedical Research Centre Sheffield, Royal Hallamshire Hospital, Sheffield, UK.ORCID https://orcid.org/0000-0003-0184-6502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary hypertension (PH) remains a challenging condition to diagnose, classify and treat. Current approaches to the assessment of PH include echocardiography, ventilation/perfusion scintigraphy, cross-sectional imaging using computed tomography and magnetic resonance imaging, and right heart catheterisation. However, these approaches only provide an indirect readout of the primary pathology of the disease: abnormal vascular remodelling in the pulmonary circulation. With the advent of newer imaging techniques, there is a shift toward increased utilisation of noninvasive high-resolution modalities that offer a more comprehensive cardiopulmonary assessment and improved visualisation of the different components of the pulmonary circulation. In this review, we explore advances in imaging of the pulmonary vasculature and their potential clinical translation. These include advances in diagnosis and assessing treatment response, as well as strategies that allow reduced radiation exposure and implementation of artificial intelligence technology. These emerging modalities hold the promise of developing a deeper understanding of pulmonary vascular disease and the impact of comorbidities. They also have the potential to improve patient outcomes by reducing time to diagnosis, refining classification, monitoring treatment response and improving our understanding of disease mechanisms.

Indexed as

Hypertension, PulmonaryMagnetic Resonance ImagingMultimodal ImagingPulmonary CirculationTomography, X-Ray ComputedArtificial IntelligenceEchocardiographyHumansLungPulmonary Artery

Identifiers

PMID39209480
PMCPMC11525339

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.