Evidence map›Paper›PMID 36684562›Full record

ArticleFrontiers in cardiovascular medicine2022

Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension.

Alistair Macdonald, Mahan Salehi, Samer Alabed, Ahmed Maiter, Ze Ming Goh, Krit Dwivedi, Chris Johns, Marcella Cogliano, Faisal Alandejani, Robin Condliffe and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 5 institutions in 1 country.

Alistair MacdonaldDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Mahan SalehiDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Samer AlabedDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Ahmed MaiterDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Ze Ming GohDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Krit DwivediDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Chris JohnsDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Marcella CoglianoDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Faisal AlandejaniDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Robin CondliffeSheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield, United Kingdom.
James M WildDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
David G KielyDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
Pankaj GargNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Andrew J SwiftDepartment of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, United Kingdom.
University of Sheffield · GBRoyal Hallamshire Hospital · GBInsigneo · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of East Anglia · GB

Funding

British Heart Foundation SP/14/6/31350Medical Research Council MC_UP_1605/13Medical Research Council MR/M008894/1
6 · The paper itself

Abstract

Objectives: Right ventricle (RV) mass is an imaging biomarker of mean pulmonary artery pressure (MPAP) and pulmonary vascular resistance (PVR). Some methods of RV mass measurement on cardiac MRI (CMR) exclude RV trabeculation. This study assessed the reproducibility of measurement methods and evaluated whether the inclusion of trabeculation in RV mass affects diagnostic accuracy in suspected pulmonary hypertension (PH). Materials and methods: Two populations were enrolled prospectively. (i) A total of 144 patients with suspected PH who underwent CMR followed by right heart catheterization (RHC). Total RV mass (including trabeculation) and compacted RV mass (excluding trabeculation) were measured on the end-diastolic CMR images using both semi-automated pixel-intensity-based thresholding and manual contouring techniques. (ii) A total of 15 healthy volunteers and 15 patients with known PH. Interobserver agreement and scan-scan reproducibility were evaluated for RV mass measurements using the semi-automated thresholding and manual contouring techniques. Results: Total RV mass correlated more strongly with MPAP and PVR ( Conclusion: Using a semi-automated thresholding technique, inclusion of trabecular mass and indexing RV mass for LV mass (ventricular mass index), improves the diagnostic accuracy of CMR measurements in suspected PH.

Indexed as

cardiac MRIdiagnosispulmonary hypertensionright ventricletrabeculation

Identifiers

PMID36684562
PMCPMC9845927
OpenAlexW4313586325

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.