ReviewBiomolecules2020
Clinical Applications of Patient-Specific 3D Printed Models in Cardiovascular Disease: Current Status and Future Directions.
Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Imaging-based 3D-printed anatomical models for preoperative planning in hepatopancreatobiliary surgery: a single-center pilot study, cost analysis, and systematic review.La Radiologia medica · 2026Pooled it
- Bioinspired hydrogel-based regenerative engineering strategies for the structural and functional regeneration of skeletal muscles following volumetric muscle loss.Regenerative biomaterials · 2026Review
- High-Fidelity MicroCT Reconstructions of Cardiac Devices Enable Patient-Specific Simulation for Structural Heart Interventions.Journal of clinical medicine · 2025Article
- Mimicking Alveolar Lung Structures with Lattice Designs.Polymers · 2025Article
- Digital twin-enabled cardiovascular stent optimization: a virtual reality-driven approach to mitigate angioplasty-related deformations.Medical & biological engineering & computing · 2025Article
- Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.International journal of environmental research and public health · 2024Review
- Optimization of Fast Non-Local Means Noise Reduction Algorithm Parameter in Computed Tomographic Phantom Images Using 3D Printing Technology.Diagnostics (Basel, Switzerland) · 2024Article
- Recent Advances in Hydrogel-Based 3D Bioprinting and Its Potential Application in the Treatment of Congenital Heart Disease.Biomolecules · 2024Review
- Cardiovascular computed tomography in cardiovascular disease: An overview of its applications from diagnosis to prediction.Journal of geriatric cardiology : JGC · 2024Article
- Cardiovascular Computed Tomography in the Diagnosis of Cardiovascular Disease: Beyond Lumen Assessment.Journal of cardiovascular development and disease · 2024Review
- Evolutionary trends and innovations in cardiovascular intervention.Frontiers in medical technology · 2024Article
- 3D Printing for Personalized Solutions in Cervical Spondylosis.Orthopedic research and reviews · 2024Review
- Applications of Light-Based 3D Bioprinting and Photoactive Biomaterials for Tissue Engineering.Materials (Basel, Switzerland) · 2023Review
- Exploring the transformative role of 3D printing in advancing medical education in Africa: a review.Annals of medicine and surgery (2012) · 2023Review
- Three-Dimensional Bioprinting in Cardiovascular Disease: Current Status and Future Directions.Biomolecules · 2023Review
- Patient-Specific 3D-Printed Low-Cost Models in Medical Education and Clinical Practice.Micromachines · 2023Review
- Patient-Specific 3D-Printed Models in Pediatric Congenital Heart Disease.Children (Basel, Switzerland) · 2023Review
- Study on the application of 3D printing head film fixation technology in cranial radiotherapy.Journal of Cancer · 2023Article
- A customized anthropomorphic 3D-printed phantom to reproducibility assessment in computed tomography: an oncological case study.Frontiers in oncology · 2023Article
- Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease.Biomolecules · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) printing has been increasingly used in medicine with applications in many different fields ranging from orthopaedics and tumours to cardiovascular disease. Realistic 3D models can be printed with different materials to replicate anatomical structures and pathologies with high accuracy. 3D printed models generated from medical imaging data acquired with computed tomography, magnetic resonance imaging or ultrasound augment the understanding of complex anatomy and pathology, assist preoperative planning and simulate surgical or interventional procedures to achieve precision medicine for improvement of treatment outcomes, train young or junior doctors to gain their confidence in patient management and provide medical education to medical students or healthcare professionals as an effective training tool. This article provides an overview of patient-specific 3D printed models with a focus on the applications in cardiovascular disease including: 3D printed models in congenital heart disease, coronary artery disease, pulmonary embolism, aortic aneurysm and aortic dissection, and aortic valvular disease. Clinical value of the patient-specific 3D printed models in these areas is presented based on the current literature, while limitations and future research in 3D printing including bioprinting of cardiovascular disease are highlighted.
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.