Evidence map›Paper›PMID 24498123›Full record

Trial reportPloS one2014

Quantification of tortuosity and fractal dimension of the lung vessels in pulmonary hypertension patients.

Michael Helmberger, Michael Pienn, Martin Urschler, Peter Kullnig, Rudolf Stollberger, Gabor Kovacs, Andrea Olschewski, Horst Olschewski, Zoltán Bálint

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01607489 (Non-invasive Diagnostics of Pulmonary Hypertension With Dual Energy Computed Tomography - Pilot Study), which is not on this map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.3field-weighted citation impact, top 3% 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.

NCT01607489 nacompletednot on this map

Non-invasive Diagnostics of Pulmonary Hypertension With Dual Energy Computed Tomography - Pilot Study

TypeinterventionalSponsorMedical University of GrazRan2011 to 2017Enrolled25ConditionsPulmonary Arterial HypertensionArmsDual-energy computed tomography investigation
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 96 citations in OpenAlex.

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  15. Inducing Vascular Grammars for Anomaly Classification in Brain Angiograms.Journal of engineering and science in medical diagnostics and therapy · 2022
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  16. Review
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  18. Observational
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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 4 institutions in 1 country.

Michael HelmbergerLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria ; Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria.
Michael PiennLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Martin UrschlerInstitute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria ; Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria.
Peter KullnigDiagnostikZentrum Graz, Graz, Austria.
Rudolf StollbergerInstitute for Medical Engineering, Graz University of Technology, Graz, Austria.
Gabor KovacsLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria ; Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Andrea OlschewskiLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria ; Experimental Anesthesiology, Department of Anesthesia and Intensive Care Medicine, Medical University of Graz, Graz, Austria.
Horst OlschewskiLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria ; Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Zoltán BálintLudwig Boltzmann Institute for Lung Vascular Research, Graz, Austria.
Ludwig Boltzmann Institute for Lung Vascular Research · ATGraz University of Technology · ATMedical University of Graz · ATGeriatrische Gesundheitszentren · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledPulmonary hypertension (PH) can result in vascular pruning and increased tortuosity of the blood vessels. In this study we examined whether automatic extraction of lung vessels from contrast-enhanced thoracic computed tomography (CT) scans and calculation of tortuosity as well as 3D fractal dimension of the segmented lung vessels results in measures associated with PH. In this pilot study, 24 patients (18 with and 6 without PH) were examined with thorax CT following their diagnostic or follow-up right-sided heart catheterisation (RHC). Images of the whole thorax were acquired with a 128-slice dual-energy CT scanner. After lung identification, a vessel enhancement filter was used to estimate the lung vessel centerlines. From these, the vascular trees were generated. For each vessel segment the tortuosity was calculated using distance metric. Fractal dimension was computed using 3D box counting. Hemodynamic data from RHC was used for correlation analysis. Distance metric, the readout of vessel tortuosity, correlated with mean pulmonary arterial pressure (Spearman correlation coefficient: ρ = 0.60) and other relevant parameters, like pulmonary vascular resistance (ρ = 0.59), arterio-venous difference in oxygen (ρ = 0.54), arterial (ρ = -0.54) and venous oxygen saturation (ρ = -0.68). Moreover, distance metric increased with increase of WHO functional class. In contrast, 3D fractal dimension was only significantly correlated with arterial oxygen saturation (ρ = 0.47). Automatic detection of the lung vascular tree can provide clinically relevant measures of blood vessel morphology. Non-invasive quantification of pulmonary vessel tortuosity may provide a tool to evaluate the severity of pulmonary hypertension.

trial registrationClinicalTrials.gov NCT01607489.

Indexed as

AngiographyBlood PressureHypertension, PulmonaryTomography, X-Ray ComputedAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPulmonary Artery

Identifiers

PMID24498123
PMCPMC3909124
OpenAlexW1986333115

What OpenQuestion holds

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LicenceCC BY
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.