ArticleProceedings of SPIE--the International Society for Optical Engineering2018
3D Printed Cardiovascular Patient Specific Phantoms Used for Clinical Validation of a CT-derived FFR Diagnostic Software.
Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03149042 (Validation of a Computed Tomography), which is not on this map. Cited by 14 papers.
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.
Validation of a Computed Tomography (CT) Based Fractional Flow Reserve (FFR) Software Using the 320 Detector Aquilion ONE CT Scanner.
Who cites it
14 citing papers in PubMed.
- Decoding triple negative breast cancer bone metastasis: from 3D bioprinted models to clinical translation.Journal of nanobiotechnology · 2026Review
- Development and Characteristics of a Dual-Layered Vascular Phantom.Cardiovascular engineering and technology · 2026Article
- Advanced 3D Visualization and 3D Printing in Radiology.Advances in experimental medicine and biology · 2023Article
- Comparison of fluid dynamics changes due to physical activity in 3D printed patient specific coronary phantoms with the Windkessel equivalent model of coronary flow.3D printing in medicine · 2022Article
- Development of Custom Wall-Less Cardiovascular Flow Phantoms with Tissue-Mimicking Gel.Cardiovascular engineering and technology · 2022Article
- Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy.3D printing in medicine · 2021Article
- 3D Printing for Cardiovascular Applications: From End-to-End Processes to Emerging Developments.Annals of biomedical engineering · 2021Review
- Evaluation of challenges and limitations of mechanical thrombectomy using 3D printed neurovascular phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Challenges in hemodynamics assessment in complex neurovascular geometries using computational fluid dynamics and benchtop flow simulation in 3D printed patient specific phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: adult cardiac conditions.3D printing in medicine · 2020Article
- Method to simulate distal flow resistance in coronary arteries in 3D printed patient specific coronary models.3D printing in medicine · 2020Article
- Innovative Modeling Techniques and 3D Printing in Patients with Left Ventricular Assist Devices: A Bridge from Bench to Clinical Practice.Journal of clinical medicine · 2019Review
- Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- 2D vessel contrast dilution gradient (CDG) analysis using 1000 fps high speed angiography (HSA) for velocity distribution estimation.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
purpose3D printed patient specific vascular models provide the ability to perform precise and repeatable benchtop experiments with simulated physiological blood flow conditions. This approach can be applied to CT-derived patient geometries to determine coronary flow related parameters such as Fractional Flow Reserve (FFR). To demonstrate the utility of this approach we compared bench-top results with non-invasive CT-derived FFR software based on a computational fluid dynamics algorithm and catheter based FFR measurements. MATERIALS AND
methodsTwelve patients for whom catheter angiography was clinically indicated signed written informed consent to CT Angiography (CTA) before their standard care that included coronary angiography (ICA) and conventional FFR (Angio-FFR). The research CTA was used first to determine CT-derived FFR (Vital Images) and second to generate patient specific 3D printed models of the aortic root and three main coronary arteries that were connected to a programmable pulsatile pump. Benchtop FFR was derived from pressures measured proximal and distal to coronary stenosis using pressure transducers.
resultsAll 12 patients completed the clinical study without any complication, and the three FFR techniques (Angio-FFR, CT-FFR, and Benchtop FFR) are reported for one or two main coronary arteries. The Pearson correlation among Benchtop FFR/Angio-FFR, CT-FFR/ Benchtop FFR, and CT-FFR/ Angio-FFR are 0.871, 0.877, and 0.927 respectively.
conclusions3D printed patient specific cardiovascular models successfully simulated hyperemic blood flow conditions, matching invasive Angio-FFR measurements. This benchtop flow system could be used to validate CT-derived FFR diagnostic software, alleviating both cost and risk during invasive procedures.
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.