Start of the European FAST III Study: Angio-Derived Assessment of Blood Flow in Diseased Coronary Arteries

Siemens HealthineersThe first patients were recently enrolled in the FAST III trial at the Erasmus University Medical Center in Rotterdam, The Netherlands. This officially marked the beginning of a multicenter, randomized-controlled, open-label study in which the outcome of therapy for coronary artery disease is being investigated after fractional flow reserve (FFR) has been determined using different methods. The principal Investigator in the FAST III study is Dr. Joost Daemen, cardiologist in the Thoraxcenter at the Erasmus University Medical Center.

FFR evaluates the hemodynamic relevance of a coronary stenosis by determining the ratio between the maximum achievable blood flow in the diseased segment and the theoretical maximum flow under normal conditions. Recent studies have demonstrated that lesions where the blood flow is reduced by less than 20 percent shouldn’t be treated.

In the standard procedure for determining FFR, a guide wire is inserted into the coronary artery. It’s equipped with an electronic pressure sensor to measure the pressuredrop before and after the stenosis. In this procedure, the patients is given an infusion of adenosine to simulate a stress situation. This can lead to unpleasant conditions, including restlessness, shortness of breath, and chestpain.

The FAST III study compares the impact of percutaneous coronary intervention (PCI) guided by "CAAS vFFR" (Cardiovascular Angiographic Analysis Systems for vessel Fractional Flow Reserve), a software from Pie Medical Imaging, with the outcome of PCI guided by the conventional, invasive, pressure wire-based method. FAST III is subtitled "Fractional Flow Reserve or 3D-Quantitative-Coronary-Angiography Based Vessel-FFR Guided Revascularization".

CAAS vFFR is an innovative technology that enables a less invasive physiological evaluation of coronary lesions. Pressure drop and the vFFR (vessel fractional flow reserve) value are determined on the basis of two angiographic images, which eliminates the need for an invasive pressure wire and hyperemic agent.

In the FAST I(1), FAST EXTEND(2), and FAST II(3) studies, CAAS vFFR was shown to be an easy-to-use tool for assessing coronary physiology that provides high diagnostic accuracy when assessing the severity of a lesion.

“In the retrospective FAST I and FAST EXTEND trials we recently validated the vFFR software and demonstrated that vFFR had a high linear correlation to invasive pressure wire based FFR and a high diagnostic accuracy alongside with a very low interobserver variability. These finding were then subsequently confirmed in the prospective multicenter FAST II trial with the help of an independent blinded core lab,” Dr. Daemen explained.

FAST III will help determine if the therapeutic outcomes for the study participants with intermediate coronary artery stenosis are comparable, whether the decision for coronary revascularization (restoration of blood circulation) was made based on FFR with CAAS vFFR or with the pressure wire procedure.

"We believe that FAST III trial will be an important next step in demonstrating the clinical value of vFFR in guiding the physiological importance of intermediate coronary artery lesions in patients with either stable or unstable coronary artery disease. Non-inferiority of vFFR as compared to a FFR-guided treatment strategy could confirm another important step forward in simplifying physiological lesion assessment by abandoning the need of a pressure wire or micro-catheter and the use of an hyperemic agent with known side effects to the patients," commented Dr. Daemen.

A total of 2,228 patients in up to 35 hospitals in seven European countries will be enrolled in the study; they will be randomized in a one-to-one process to either vFFR- or FFR-guided approach. The leading clinical centers involved include, but are not limited to: Erasmus University Medical Center (The Netherlands), John Radcliffe Hospital Oxford (UK), Mater Private Hospital Dublin (Ireland), University Hospital of Verona (Italy), University Hospital Valladolid (Spain), Charité Berlin (Germany), and University Hospital Lille (France).

The European Cardiovascular Research Institute (ECRI) in Rotterdam, The Netherlands, is the sponsor of the investigator-initiated FAST III trial. FAST III is funded by Pie Medical Imaging and Siemens Healthineers, who joined forces to strengthen the body of evidence for the use of angio-derived FFR in the pursuit of a faster and less stressful diagnosis along with the potential for a lower cost of care.

The FAST III study is registered under ClinicalTrials.gov as follows: NCT04931771.

About Siemens Healthineers

Siemens Healthineers AG (listed in Frankfurt, Germany: SHL) pioneers breakthroughs in healthcare. For everyone. Everywhere. As a leading medical technology company headquartered in Erlangen, Germany, Siemens Healthineers and its regional companies is continuously developing its product and service portfolio, with AI-supported applications and digital offerings that play an increasingly important role in the next generation of medical technology. These new applications will enhance the company’s foundation in in-vitro diagnostics, image-guided therapy, in-vivo diagnostics, and innovative cancer care. Siemens Healthineers also provides a range of services and solutions to enhance healthcare providers’ ability to provide high-quality, efficient care. In fiscal 2021, which ended on September 30, 2021, Siemens Healthineers, which has approximately 66,000 employees worldwide, generated revenue of €18.0 billion and adjusted EBIT of €3.1 billion.

About Pie Medical Imaging BV

Pie Medical Imaging BV is a world leader in analysis and visualization of cardiovascular images in Maastricht (The Netherlands), it hosts the global sales for the CAAS and 3mensio product lines. PMI and 3mensio Medical Imaging are part of the Esaote Group, leader in the biomedical equipment sector, in particular the areas of ultrasound, dedicated MRI and Medical IT.

1. Masdjedi K. et al. Validation of a three-dimensional quantitative coronary angiography-based software to calculate fractional flow reserve: the FAST study. EuroIntervention. 2020 Sep 18;16(7):591-599. doi: 10.4244/EIJ-D-19-00466. PMID: 31085504.
2. Neleman T. et al. Extended Validation of Novel 3D Quantitative Coronary Angiography-Based Software to Calculate vFFR: The FAST EXTEND Study. JACC Cardiovasc Imaging. 2021 Feb;14(2):504-506. doi: 10.1016/j.jcmg.2020.08.006. Epub 2020 Sep 30. PMID: 33011122.
3. Masdjedi K. et al. Vessel fractional flow reserve (vFFR) for the assessment of stenosis severity: the FAST II study. EuroIntervention. 2021 Oct 14:EIJ-D-21-00471. doi: 10.4244/EIJ-D-21-00471. Online ahead of print. PMID: 34647890.

Most Popular Now

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Emotional Cognition Analysis Enables Nea…

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain...

New Recommendations to Increase Transpar…

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed. A new set of recommendations published in The...

Digital Health Unveils Draft Programme f…

18 - 19 March 2025, Birmingham, UK. Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next...

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...