Evidence map›Paper›PMID 24771202›Full record

ArticleMedical & biological engineering & computing2014

Computer methods for follow-up study of hemodynamic and disease progression in the stented coronary artery by fusing IVUS and X-ray angiography.

Arso M Vukicevic, Nemanja M Stepanovic, Gordana R Jovicic, Svetlana R Apostolovic, Nenad D Filipovic

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Article in Medical & biological engineering & computing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Application ofFrontiers in medical technology · 2021
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  5. Assessing abdominal aorta narrowing using computational fluid dynamics.Medical & biological engineering & computing · 2016
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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

5 authors at 2 institutions in 1 country.

Arso M VukicevicFaculty of Engineering, University of Kragujevac, Sestre Janjic 6, Kragujevac, 34000, Serbia, arso_kg@yahoo.com.
Nemanja M Stepanovic
Gordana R Jovicic
Svetlana R Apostolovic
Nenad D Filipovic
University of Kragujevac · RSUniversity of Nis · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a lot of progress in the fields of medical imaging and modeling, problem of estimating the risk of in-stent restenosis and monitoring the progress of the therapy following stenting still remains. The principal aim of this paper was to propose architecture and implementation details of state of the art of computer methods for a follow-up study of disease progression in coronary arteries stented with bare-metal stents. The 3D reconstruction of coronary arteries was performed by fusing X-ray angiography and intravascular ultrasound (IVUS) as the most dominant modalities in interventional cardiology. The finite element simulation of plaque progression was performed by coupling the flow equations with the reaction-diffusion equation applying realistic boundary conditions at the wall. The alignment of baseline and follow-up data was performed automatically by temporal alignment of IVUS electrocardiogram-gated frames. The assessment was performed using three six-month follow-ups of right coronary artery. Simulation results were compared with the ground truth data measured by clinicians. In all three data sets, simulation results indicated the right places as critical. With the obtained difference of 5.89 ± ~4.5% between the clinical measurements and the results of computer simulations, we showed that presented framework is suitable for tracking the progress of coronary disease, especially for comparing face-to-face results and data of the same artery from distinct time periods.

Indexed as

Coronary RestenosisAcute Coronary SyndromeCoronary AngiographyCoronary Artery DiseaseDiagnosis, Computer-AssistedDisease ProgressionFinite Element AnalysisHemodynamicsHumansImage Processing, Computer-AssistedMaleMiddle AgedUltrasonography, Interventional

Identifiers

PMID24771202
OpenAlexW2048223788

What OpenQuestion holds

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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.