4D Flow MRI-Based Quantification of Tricuspid Regurgitation: A Possible Approach to Improve Measurement Repeatability.

Alessandra Riva¹, Giulia Pasqualin², Francesco Sturla^1,3, Lara Tondi^4,5, Simone Saitta^3,6,7, Davide Tondi³, Jessica Zannoni⁸, Giandomenico Disabato⁴, Daniel Giese⁹, Massimo Chessa^2,10, Pietro Spagnolo¹¹, Alberto Redaelli³, Massimo Lombardi⁴, Emiliano Votta³

¹3D and Computer Simulation Laboratory, IRCCS, Policlinico San Donato, San Donato Milanese, Italy.

²Pediatric and Adult Congenital Disease Heart Centre, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

³Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

⁴Multimodality Cardiac Imaging, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

⁵Department of Radiology, IRCCS Foundation Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.

⁶Department of Biomedical Engineering and Physics, Amsterdam UMC, Amsterdam, the Netherlands.

⁷Informatics Institute, University of Amsterdam, Amsterdam, the Netherlands.

⁸Department of Clinical and Interventional Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

⁹Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.

¹⁰Università Vita-Salute San Raffaele, Milan, Italy.

¹¹Department of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

PubMed PMC DOI PDF

Abstract

PURPOSE: To address limitations in tricuspid regurgitation (TR) quantification by magnetic resonance imaging (MRI) or transthoracic echocardiography (TTE), a new method is proposed to directly quantify TR volume (TRV) using 4D Flow MRI with retrospective tricuspid valve (TV) annular tracking. METHODS: Thirty patients with TR were prospectively enrolled. TRV was quantified using four MRI-based met…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.