ArticleEuropean journal of medical research2018
Dynamic coronary roadmapping during percutaneous coronary intervention: a feasibility study.
Article in European journal of medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dynamic coronary roadmap in percutaneous coronary intervention: a systematic review and meta-analysis.BMC cardiovascular disorders · 2024Pooled it
- Dynamic Coronary Roadmap versus standard angiography for percutaneous coronary intervention: the randomised, multicentre DCR4Contrast trial.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2024Trial
- AI-Driven Robotic PCI: A Perception-to-Action Framework for Coronary Guidewire Control.Bioengineering (Basel, Switzerland) · 2026Article
- Dynamic coronary roadmap-guided versus traditional percutaneous coronary intervention techniques in contrast medium volume reduction: a systematic review and meta-analysis.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026Review
- Precision percutaneous coronary intervention.NPJ cardiovascular health · 2026Review
- A Synergistic Multi-Scale Attention and Composite Feature Extraction Network for Coronary Artery Segmentation.Bioengineering (Basel, Switzerland) · 2025Article
- Real-World Evaluation of PCI Guidance Using Dynamic Coronary Roadmap: A DCR4Contrast Trial Secondary Analysis.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Article
- Article
- Review
- Self-supervised learning for interventional image analytics: toward robust device trackers.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Intravascular Imaging in Ultra-Low or Zero-Contrast Percutaneous Coronary Interventions: The Time Is Now?Journal of clinical medicine · 2023Review
- Advances in Diagnosis, Therapy, and Prognosis of Coronary Artery Disease Powered by Deep Learning Algorithms.JACC. Asia · 2023Review
- Procedural and Technological Innovations Facilitating Ultra-low Contrast Percutaneous Coronary Interventions.Interventional cardiology (London, England) · 2023Review
- Non-invasive imaging as the cornerstone of cardiovascular precision medicine.European heart journal. Cardiovascular Imaging · 2022Review
- CoroFinder: A New Tool for Real Time Detection and Tracking of Coronary Arteries in Contrast-Free Cine-Angiography.Journal of personalized medicine · 2022Article
- Contrast-induced acute kidney injury and its contemporary prevention.Frontiers in cardiovascular medicine · 2022Review
- Robotics, imaging, and artificial intelligence in the catheterisation laboratory.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021Review
- [Contrast medium-induced renal failure : Useful protective measures prior to contrast medium administration].Der Internist · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA novel software ("Dynamic Coronary Roadmap") was developed, which offers a real-time, dynamic overlay of the coronary tree on fluoroscopy. Once the roadmap has been automatically generated during angiography it can be used for navigation during percutaneous coronary interventions (PCI). As a feasibility study, we aimed to investigate the feasibility of real-time dynamic coronary roadmapping and consecutive coronary overlay during elective PCI. METHODS AND
resultsWe studied 936 overlay runs, created following the same amount of angiographies, which were generated during 36 PCIs. Feasibility of dynamic coronary roadmapping was analyzed using a dedicated software tool. Roadmap quality (correct dynamic imaging of the vessels without relevant artefacts or missing parts) was distinguished from overlay quality (congruence of dynamic coronary roadmapping and coronary anatomy). Additionally, we assessed procedural success and the occurrence of major cardiac and cerebrovascular events (MACCE). Roadmap quality was defined as "fit for use" in 99.5%. In 97.4% of runs overlay quality was deemed "fit for use". Overall, we observed low inter and intra observer variability (ICC R = 0.84 for roadmap quality and R = 0.75 for overlay quality). Procedural success rate was 100%. MACCE occurred in two (5.6%) patients during post-interventional in-hospital stay and were not software-related.
conclusionsDynamic coronary roadmapping provides in > 98% of cases sufficient roadmap quality with an anatomically correct overlay of the coronary vessels with good inter and intra observer variability. Future randomized studies are warranted to test possible advantages like procedure time reduction and less consumption of contrast medium.
Indexed as
Identifiers
What OpenQuestion holds
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.