Cardiac Imaging

New AI-driven Tool Aids in Mitral Valve Assessment

By: Jimmy Su, Ph.D. Principal Scientist, Cardiovascular Ultrasound, Philips
Jimmy Su, Ph.D.

A new tool, Automated 3D Color Flow Quantification (3D Auto CFQ), removes the reliance on assumptions when quantifying mitral regurgitation and replaces it with a reliable and robust, AI-driven method that delivers precise measurement of mitral valve regurgitant volume (RVol) regardless of orifice shape and size.

Eliminating assumptions: Quantification of mitral regurgitation has long relied on geometric and temporal assumptions that are based on imperfect approximations. 

  • One of the most popular methods for assessing mitral regurgitation, proximal isovelocity surface area (PISA), is a 2D method that assumes that the regurgitation occurs through a circular orifice with a constant size and shape. 
  • Although 3D ultrasound images prove that this is not the case, for years assessments have been based on these “close-enough” calculations that often over- or under-estimate RVol.

Now we have something better. With new 3D Auto CFQ, you can quantify mitral valve regurgitation in a way that has never been done before: by calculating irregular, dynamic flow through an oddly shaped orifice. 

  • Proven to work on single, multiple, concentric and eccentric jets, and calculated over the entire cardiac cycle, 3D Auto CFQ has been demonstrated to be equivalent to gold-standard cardiac MRI in the measurement of RVol.[1]

Delivering insights: This technology is a game changer in answering one of the most difficult and most critical questions for the approximately 24 million[2] people worldwide with valve disease: When is intervention indicated? 

  • Because patient outcomes are tied to the severity of regurgitation, this is no trivial question. It also is key to that critical question’s corollary: How has regurgitation in this patient changed over time?

To learn more about how 3D Auto CFQ can bring a new level of precision to mitral regurgitation quantification, download this Philips white paper.

References:

1. Biner S, et al. Reproducibility of proximal isovelocity surface area, vena contracta, and regurgitant jet
area for assessment of mitral regurgitation severity. JACC: Cardiovascular Imaging. 2010;3:235–243.
2. Aluru JS, Barsouk A, Saginala K, Rawla P, Barsouk A. Valvular Heart Disease Epidemiology. Medical
Sciences (Basel). 2022 Jun 15;10(2):32.

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