#MAPSE (aka atrioventricular [AV] plane displacement) healthy normal values by #EchoFirst M-mode have been known since 1988 to be 🧓👴age-dependent with values around 16 mm ().
More recently (2019), similar findings were found using automated measurements of #MAPSE by anatomical M-mode (retrospective measurement from 2D images = no need for dedicated M-mode acquisition).
#MAPSE has been indexed to the length of the 🫀LV (MAPSE/LV length, called long-axis strain or global longitudinal shortening), and this has been shown to be prognostically equivalent to GLS and better than LVEF after infarction.
A convenient bonus/feature is that the AI MAPSE was more reproducible than manual🖐️experts, and measurements automatically pop up on the 🧲scanner at the time of #WhyCMR scanning near-instantaneously.
8/n
So, we're integrating MAPSE into our clinical #WhyCMR reports, because, the data tells us it's A Good Thing.
9/n
But more importantly, MAPSE by #EchoFirst and #WhyCMR have been shown to effectively give the same results.
So, since you can almost always measure MAPSE despite not seeing large swaths of the LV by #EchoFirst, imho MAPSE deserves some renewed attention in the #EchoFirst space, and has a justified place in the clinical echo report📩.
For #EchoFirst measure of the LV, LA, aortic size, what is the best body size measure to index by?
New paper (PMID 37938592): We used CV mortality in 200,000+ pts in the Natl Echo Database Australia #NEDA to determine the best indexation measure.
🧵
1/n
First question - does any body size indexation improve the prognosis of echocardiographic measures?
Answer: Yes
2/n
This key figure shows how different body size indexation metrics affect survival (C-statistic) across all echo measures. Indexing a measure by weight [w] alone, or height*weight [hw], or BSA by Mosteller [BSA_M] all improve C-stat vs unindexed.
What's the best 🫀 imaging method to detect & quantify pulmonary hypertension?
Just out in JACC Cardiovasc Imaging:
Ramos JG, et al, "Pulmonary hypertension by catheterization is more accurately detected by #WhyCMR 4D-Flow than #EchoFirst"
🧵
Firstly, starting back in 2008, co-authors Gert Reiter and Ursula Reiter pioneered the method for estimating mPAP by vortex duration by #WhyCMR #4Dflow.
Vortex duration, or t_vortex, is the percent of the cardiac cycle during which a vortex can be visualized in the main pulmonary artery.
Did you know that #HydraulicForces:
✅are related to the relative size of the LA in relation to the LV?
✅contribute to left ventricular diastolic function?
✅associate independently with survival?
Myocardial #stiffness and #damping are mechanistic ⚙️properties of the LV that can be estimated by measuring the Doppler 🔊 E wave peak velocity, acceleration time ⏲️, and deceleration time ⏲️.
The physics governing the recoil of a spring are well described as a damped harmonic oscillator, and it is well validated that the Doppler E-wave is governed by these same physics, aka parameterized diastolic filling (PDF) [pubmed.gov/3812709]. 2/n
This means that the shape of the E-wave can be excellently curve fit to a function that describes the behavior of a damped harmonic oscillator. Figure from pubmed.gov/33066772 3/n