Fractional flow reserve (FFR) values are extremely valuable in determining the true impact of an intravascular obstruction, making them an evermore relevant technique in interventional cardiology settings. Despite its usefulness, acquiring those values is not a trivial task. Predict FFR is an application that allows you to predict FFR values using data from computed tomography images, making it easier for the interventionist to quickly estimate the true hemodynamic impact of a lesion on the bedside.
Predict FFR uses an algorithm previously validated and published in a recognized, peer-reviewed journal. Our technique has been featured as an review article in the JAMA Cardiology Journal under the DOI of 10.1001/jamacardio.2017.1314. Refer to this link for more information.
Using the Predict FFR is very simple.
1. Download the application to your iOS device
2. Select the imaging modality you are using (currently CT is the only supported modality)
3. Select the metric you are using (currently CT-FFR is the only supported metric)
4. Select the anatomy of the lesion you are working on
5. Enter the value of the metric and click the "Calculate" button
You will be provided with a screen presenting the distribution of possible FFR values, the probability of a positive FFR and the probability of a negative FFR. Use the graphs below to better understand the FFR and probability distribution for the given lesion.
Founder and director of coronary physiology at LCL, an interventional cardiologist with large experience in coronary physiology research, part of the team who developed the instantaneous wave-Free Ratio (iFR) coronary index. Dr Petraco has a unique combination of clinical and computational skills, including physiology data collection, processing and analysis, allowing for custom-made solutions to be used on physiological data.
Founder and director of intravascular imaging, Dr Chamie is an interventional cardiologist with extensive experience in leading imaging core laboratories.Previous director of OCT operations at Cardiovascular Research Centre in SaoPaulo, Brazil, he is now head of Imaging at Yale University Core Lab, a partner of LCL in the US.
Interventional cardiologist with extensive expertise in coronary physiology, part of the team who developed the instantaneous wave-Free Ratio (iFR) coronary index, he also leads the structural and renal denervation projects at LCL.
With vast experience in cardiovascular research, Prof Francis co-leads LCL’s echocardiography and AI team.
Director of Echocardiography and Artificial Intelligence (AI) at LCL, a consultant cardiologist with extensive experience in imaging and AI solutions to Cardiology. Dr Shun-shin’s unique combination of clinical and computational expertise enables tailor made solutions to imaging data processing and analysis.
This privacy policy has been compiled to better serve those who are concerned with how their 'Personally Identifiable Information' (PII) is being used online. PII, as described in US privacy law and information security, is information that can be used on its own or with other information to identify, contact, or locate a single person, or to identify an individual in context. Please read our privacy policy carefully to get a clear understanding of how we collect, use, protect or otherwise handle your Personally Identifiable Information in accordance with our website.
What personal information do we collect from the people that visit our blog, website or app?
When ordering or registering on our site, as appropriate, you may be asked to enter your name, email address, phone number or other details to help you with your experience.
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We may use the information we collect from you when you register, make a purchase, sign up for our newsletter, respond to a survey or marketing communication, surf the website, or use certain other site features in the following ways:
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Contacting Us
If there are any questions regarding this privacy policy, you may contact us using the following information: enquires@londoncorelab.com
Last Edited on 2023-10-02
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