Evidence map›Paper›PMID 29435739›Full record

ArticleLung2018

Multiparametric Magnetic Resonance Imaging in the Assessment of Pulmonary Hypertension: Initial Experience of a One-Stop Study.

Gisela M B Meyer, Fernanda B Spilimbergo, Stephan Altmayer, Gabriel S Pacini, Matheus Zanon, Guilherme Watte, Edson Marchiori, Bruno Hochhegger

Erratum issued Registry-linked trialOpen access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Lung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07131241 (Research on Dynamic Risk Prediction for Patients With Pulmonary Hypertension Based on Multimodal Data Fusion), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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.

NCT07131241 recruitingnot on this mapstarted 2025, after this paper: background citation

Research on Dynamic Risk Prediction for Patients With Pulmonary Hypertension Based on Multimodal Data Fusion: A Prospective Observational Study

Typeobservational_patient_registrySponsorFirst Affiliated Hospital of Fujian Medical UniversityRan2025 to 2029Enrolled1,000ConditionsPulmonary Hypertension
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Gisela M B MeyerPulmonary Hypertension Group, Santa Casa de Porto Alegre, Av. Independência, 75, Porto Alegre, Rio Grande Do Sul, 90020-160, Brazil.
Fernanda B SpilimbergoPulmonary Hypertension Group, Santa Casa de Porto Alegre, Av. Independência, 75, Porto Alegre, Rio Grande Do Sul, 90020-160, Brazil.
Stephan AltmayerFederal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil.
Gabriel S PaciniFederal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil. gabrielsartorip@gmail.com.
Matheus ZanonFederal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil.
Guilherme WatteDepartment of Respiratory Medicine and Thoracic Surgery, Irmandade da Santa Casa de Misericordia de Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, 90050-170, Brazil.
Edson MarchioriFederal University of Rio de Janeiro, Av. Carlos Chagas Filho, 373, Rio De Janeiro, 21941-902, Brazil.
Bruno HochheggerFederal University of Health Sciences of Porto Alegre, R. Sarmento Leite, 245, Porto Alegre, Rio Grande Do Sul, 90050-170, Brazil.
Universidade Federal do Rio Grande do Sul · BRIrmandade da Santa Casa de Misericórdia de São Paulo · BRSanta Casa Hospital · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOur goal was to assess the diagnostic performance of magnetic resonance imaging (MRI) as a single method to diagnose pulmonary hypertension (PH) compared to right heart catheterization (RHC), computed tomography (CT), and ventilation/perfusion (V/Q) scintigraphy.

methodsWe identified 35 patients diagnosed with PH by RHC in our institution who have also undergone a CT, a scintigraphy, and an MRI within a month. All cases were discussed in multidisciplinary meetings. We performed correlations between the MRI-derived hemodynamic parameters and those from RHC. The sensitivity and specificity of MRI were determined to identify its diagnostic performance to identify chronic thromboembolic pulmonary hypertension (CTEPH) and interstitial lung disease PH. The gold standard reference for the diagnosis of CTEPH and ILD was based on a review of multimodality imaging (V/Q scintigraphy and CT scan) and clinical findings.

resultsOur results showed a good correlation between the hemodynamic parameters of cardiac MRI and RHC. Pulmonary vascular resistance had the best correlation between both methods (r = 0.923). The sensitivity and specificity of MRI to diagnose CTEPH was 100 and 96.8%, respectively. For the ILD-related PH, the MRI yielded a sensitivity of 60.0% and a specificity of 100%. Additionally, cardiac MRI was able to confirm all cases of PAH due to congenital heart disease initially detected by echocardiography.

conclusionsMRI represents a promising imaging modality as an initial, single-shot study, for patients with suspected PH with the advantages of being non-invasive and having no radiation exposure.

Indexed as

Magnetic Resonance Imaging, CineAdultCardiac CatheterizationFemaleHemodynamicsHumansHypertension, PulmonaryLung Diseases, InterstitialMaleMiddle AgedMultidetector Computed TomographyPerfusion ImagingPredictive Value of TestsPreliminary DataPulmonary CirculationPulmonary EmbolismComputed tomographyLung scintigraphyMagnetic resonance imagingPulmonary hypertensionRight heath catheterization

Identifiers

PMID29435739
OpenAlexW2793317281

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.